Semantic Web is a term coined by World Wide Web Consortium The World Wide Web Consortium is the main international standards organization for the World Wide Web (abbreviated WWW or W3) (W3C) director Tim Berners-Lee Sir Timothy John "Tim" Berners-Lee, OM, KBE, FRS, FREng, FRSA , is a British engineer and computer scientist and MIT professor credited with inventing the World Wide Web, making the first proposal for it in March 1989. On 25 December 1990, with the help of Robert Cailliau and a young student at CERN, he implemented the first successful.^[1] It describes methods and technologies to allow machines to understand the meaning - or "semantics" - of information on the World Wide Web The World Wide Web, abbreviated as WWW and commonly known as the Web, is a system of interlinked hypertext documents accessed via the Internet. With a web browser, one can view web pages that may contain text, images, videos, and other multimedia and navigate between them by using hyperlinks. Using concepts from earlier hypertext systems, British.^[2]

According to the original vision, the availability of machine-readable metadata Metadata is "data about data", of any sort in any media. Metadata is text, voice, or image that describes what the audience wants or needs to see or experience. The audience could be a person, group, or software program. Metadata is important because it aids in clarifying and finding the actual data. An item of metadata may describe an would enable automated agents and other software to access the Web more intelligently. The agents would be able to perform tasks automatically and locate related information on behalf of the user.

While the term "Semantic Web" is not formally defined it is mainly used to describe the model and technologies^[3] proposed by the W3C. These technologies include the Resource Description Framework The Resource Description Framework is a family of World Wide Web Consortium (W3C) specifications originally designed as a metadata data model. It has come to be used as a general method for conceptual description or modeling of information that is implemented in web resources, using a variety of syntax formats (RDF), a variety of data interchange formats (e.g. RDF/XML The Resource Description Framework is a family of World Wide Web Consortium (W3C) specifications originally designed as a metadata data model. It has come to be used as a general method for conceptual description or modeling of information that is implemented in web resources, using a variety of syntax formats, N3 Notation3, or N3 as it is more commonly known, is a shorthand non-XML serialization of Resource Description Framework models, designed with human-readability in mind: N3 is much more compact and readable than XML RDF notation. The format is being developed by Tim Berners-Lee and others from the Semantic Web community, Turtle, N-Triples), and notations such as RDF Schema (RDFS) and the Web Ontology Language The Web Ontology Language is a family of knowledge representation languages for authoring ontologies, and is endorsed by the World Wide Web Consortium. This family of languages is based on two (largely, but not entirely, compatible) semantics: OWL DL and OWL Lite semantics are based on Description Logic, which have attractive and well-understood (OWL), all of which are intended to provide a formal description of concepts A concept is a cognitive unit of meaning—an abstract idea or a mental symbol sometimes defined as a "unit of knowledge," built from other units which act as a concept's characteristics. A concept is typically associated with a corresponding representation in a language or symbology[citation needed] such as a single meaning of a term, terms Terminology is the study of terms and their use. Terms are words and compound words that are used in specific contexts. Not to be confused with "terms" in colloquial usages, the shortened form of technical terms which are defined within a discipline or speciality field. The discipline Terminology studies among other things how such terms, and relationships Causality is the relationship between an event and a second event (the effect), where the second event is a consequence of the first within a given knowledge domain Most generally, domain knowledge is the knowledge which is valid and directly used for a pre-selected domain of human endeavor or an autonomous computer activity.

Many of the technologies proposed by the W3C already exist and are used in various projects. The Semantic Web as a global vision, however, has remained largely unrealized and its critics have questioned the feasibility of the approach.

In addition other technologies with similar goals, such as microformats A microformat is a web-based approach to semantic markup that seeks to re-use existing HTML/XHTML tags to convey metadata and other attributes, in web pages and other contexts that support (X)HTML, such as RSS. This approach allows information intended for end-users (such as contact information, geographic coordinates, calendar events, and the, have evolved, which are not always described as "Semantic Web".

Purpose

Humans are capable of using the Web to carry out tasks such as finding the Irish word for "directory", reserving a library book, and searching for a low price for a DVD. However, one computer A computer is a programmable machine that receives input, stores and manipulates data//information, and provides output in a useful format cannot accomplish all of these tasks without human direction, because web pages are designed to be read by people, not machines. The semantic web is a vision of information that is understandable by computers, so computers can perform more of the tedious work involved in finding, combining, and acting upon information on the web.

Tim Berners-Lee originally expressed the vision of the semantic web as follows:^[4]

I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web – the content, links, and transactions between people and computers. A ‘Semantic Web’, which should make this possible, has yet to emerge, but when it does, the day-to-day mechanisms of trade, bureaucracy and our daily lives will be handled by machines talking to machines. The ‘intelligent agents In artificial intelligence, an intelligent agent is an autonomous entity which observes and acts upon an environment (i.e. it is an agent) and directs its activity towards achieving goals (i.e. it is rational). Intelligent agents may also learn or use knowledge to achieve their goals. They may be very simple or very complex: a reflex machine such’ people have touted for ages will finally materialize.

– Tim Berners-Lee Sir Timothy John "Tim" Berners-Lee, OM, KBE, FRS, FREng, FRSA , is a British engineer and computer scientist and MIT professor credited with inventing the World Wide Web, making the first proposal for it in March 1989. On 25 December 1990, with the help of Robert Cailliau and a young student at CERN, he implemented the first successful, 1999

Semantic Web application areas are experiencing intensified interest due to the rapid growth in the use of the Web, together with the innovation and renovation of information content technologies. The Semantic Web is regarded as an integrator across different content and information applications and systems, and provide mechanisms for the realisation of Enterprise Information Systems. The rapidity of the growth experienced provides the impetus for researchers to focus on the creation and dissemination of innovative Semantic Web technologies, where the envisaged ’Semantic Web’ is long overdue. Often the terms ’Semantics’, ’metadata’, ’ontologies’ and ’Semantic Web’ are used inconsistently. In particular, these terms are used as everyday terminology by researchers and practitioners, spanning a vast landscape of different fields, technologies, concepts and application areas. Furthermore, there is confusion with regards to the current status of the enabling technologies envisioned to realise the Semantic Web. In a paper presented by Gerber, Barnard and Van der Merwe^[5] the Semantic Web landscape is charted and a brief summary of related terms and enabling technologies is presented. The architectural model proposed by Tim Berners-Lee is used as basis to present a status model that reflects current and emerging technologies.^[6]

Semantic Publishing

Semantic publishing Semantic publishing on the Web or semantic web publishing refers to publishing information on the web as documents accompanied by semantic markup. Semantic publication is intended to provide a way for computers to understand the structure and even the meaning of the published information, making information search and data integration more will benefit greatly from the semantic web. In particular, the semantic web is expected to revolutionize scientific publishing Academic publishing describes the subfield of publishing which distributes academic research and scholarship. Most academic work is published in journal article, book or thesis form. The non commercial part of academic publishing is called grey literature. Much, though not all, academic publishing relies on some form of peer review or editorial, such as real-time publishing and sharing of experimental data on the Internet. This simple but radical idea is now being explored by W3C The World Wide Web Consortium is the main international standards organization for the World Wide Web (abbreviated WWW or W3) HCLS group's Scientific Publishing Task Force.

Web 3.0

Tim Berners-Lee Sir Timothy John "Tim" Berners-Lee, OM, KBE, FRS, FREng, FRSA , is a British engineer and computer scientist and MIT professor credited with inventing the World Wide Web, making the first proposal for it in March 1989. On 25 December 1990, with the help of Robert Cailliau and a young student at CERN, he implemented the first successful has described the semantic web as a component of 'Web 3.0'.^[7]

People keep asking what Web 3.0 is. I think maybe when you've got an overlay of scalable vector graphics Scalable Vector Graphics is a family of specifications of an XML-based file format for describing two-dimensional vector graphics, both static and dynamic (i.e. interactive or animated) - everything rippling and folding and looking misty — on Web 2.0 The term "Web 2.0" is commonly associated with web applications that facilitate interactive information sharing, interoperability, user-centered design, and collaboration on the World Wide Web. Examples of Web 2.0 include web-based communities, hosted services, web applications, social-networking sites, video-sharing sites, wikis, blogs, and access to a semantic Web integrated across a huge space of data, you'll have access to an unbelievable data resource..."

– Tim Berners-Lee Sir Timothy John "Tim" Berners-Lee, OM, KBE, FRS, FREng, FRSA , is a British engineer and computer scientist and MIT professor credited with inventing the World Wide Web, making the first proposal for it in March 1989. On 25 December 1990, with the help of Robert Cailliau and a young student at CERN, he implemented the first successful, 2006

Relationship to the hypertext web

Limitations of HTML

Many files on a typical computer can be loosely divided into documents A document is a bounded physical or digital representation of a body of information designed with the capacity (and usually intent) to communicate. A document may manifest symbolic, diagrammatic or sensory-representational information. To document (verb) is to produce a document artifact by collecting and representing information. In prototypical and data The term data refers to groups of information that represent the qualitative or quantitative attributes of a variable or set of variables. Data are typically the results of measurements and can be the basis of graphs, images, or observations of a set of variables. Data are often viewed as the lowest level of abstraction from which information and. Documents like mail messages, reports, and brochures are read by humans. Data, like calendars, addressbooks, playlists, and spreadsheets are presented using an application program which lets them be viewed, searched and combined in many ways.

Currently, the World Wide Web is based mainly on documents written in Hypertext Markup Language HTML, which stands for HyperText Markup Language, is the predominant markup language for web pages. It provides a means to create structured documents by denoting structural semantics for text such as headings, paragraphs, lists etc as well as for links, quotes, and other items. It allows images and objects to be embedded and can be used to create (HTML HTML, which stands for HyperText Markup Language, is the predominant markup language for web pages. It provides a means to create structured documents by denoting structural semantics for text such as headings, paragraphs, lists, links, quotes and other items. It allows images and objects to be embedded and can be used to create interactive forms), a markup convention that is used for coding a body of text interspersed with multimedia objects such as images and interactive forms. Metadata tags, for example

<meta name="keywords" content="computing, computer studies, computer">
<meta name="description" content="Cheap widgets for sale">
<meta name="author" content="John Doe">

provide a method by which computers can categorise the content of web pages.

With HTML and a tool to render it (perhaps web browser A web browser is a software application for retrieving, presenting, and traversing information resources on the World Wide Web. An information resource is identified by a Uniform Resource Identifier and may be a web page, image, video, or other piece of content. Hyperlinks present in resources enable users to easily navigate their browsers to software, perhaps another user agent A user agent is a client application implementing a network protocol used in communications within a client–server distributed computing system. The term most notably refers to applications that access the World Wide Web, but other systems, such as the Session Initiation Protocol , use the term user agent to refer to both end points of a), one can create and present a page that lists items for sale. The HTML of this catalog page can make simple, document-level assertions such as "this document's title is 'Widget Superstore'", but there is no capability within the HTML itself to assert unambiguously that, for example, item number X586172 is an Acme Gizmo with a retail price of €199, or that it is a consumer product. Rather, HTML can only say that the span of text "X586172" is something that should be positioned near "Acme Gizmo" and "€199", etc. There is no way to say "this is a catalog" or even to establish that "Acme Gizmo" is a kind of title or that "€199" is a price. There is also no way to express that these pieces of information are bound together in describing a discrete item, distinct from other items perhaps listed on the page.

Semantic HTML refers to the traditional HTML practice of markup following intention, rather than specifying layout details directly. For example, the use of <em> denoting "emphasis" rather than <i>, which specifies italics In typography, italic type is a cursive typeface based on a stylized form of calligraphic handwriting. Owing to the influence from calligraphy, such typefaces often slant slightly to the right. Different glyph shapes from roman type are also usually used—another influence from calligraphy. It is distinct therefore from oblique type, in which the. Layout details are left up to the browser, in combination with Cascading Style Sheets Cascading Style Sheets is a style sheet language used to describe the presentation semantics (that is, the look and formatting) of a document written in a markup language. Its most common application is to style web pages written in HTML and XHTML, but the language can also be applied to any kind of XML document, including SVG and XUL. But this practice falls short of specifying the semantics of objects such as items for sale or prices.

Microformats A microformat is a web-based approach to semantic markup that seeks to re-use existing HTML/XHTML tags to convey metadata and other attributes, in web pages and other contexts that support (X)HTML, such as RSS. This approach allows information intended for end-users (such as contact information, geographic coordinates, calendar events, and the represent unofficial attempts to extend HTML syntax to create machine-readable In telecommunication, a machine-readable medium is a medium capable of storing data in a machine-readable format that can be accessed by an automated sensing device and capable of being turned into (practically in every case) some form of binary semantic markup about objects such as retail stores and items for sale.

Semantic Web solutions

The Semantic Web takes the solution further. It involves publishing in languages specifically designed for data: Resource Description Framework The Resource Description Framework is a family of World Wide Web Consortium (W3C) specifications originally designed as a metadata data model. It has come to be used as a general method for conceptual description or modeling of information that is implemented in web resources, using a variety of syntax formats (RDF), Web Ontology Language The Web Ontology Language is a family of knowledge representation languages for authoring ontologies, and is endorsed by the World Wide Web Consortium. This family of languages is based on two (largely, but not entirely, compatible) semantics: OWL DL and OWL Lite semantics are based on Description Logic, which have attractive and well-understood (OWL), and Extensible Markup Language (XML XML is a set of rules for encoding documents in machine-readable form. It is defined in the XML 1.0 Specification produced by the W3C, and several other related specifications, all gratis open standards). HTML describes documents and the links between them. RDF, OWL, and XML, by contrast, can describe arbitrary things such as people, meetings, or airplane parts. Tim Berners-Lee calls the resulting network of Linked Data Linked Data is a sub-topic of the Semantic Web. The term Linked Data is used to describe a method of exposing, sharing, and connecting data via dereferenceable URIs on the Web the Giant Global Graph, in contrast to the HTML-based World Wide Web The World Wide Web, abbreviated as WWW and commonly known as the Web, is a system of interlinked hypertext documents accessed via the Internet. With a web browser, one can view web pages that may contain text, images, videos, and other multimedia and navigate between them by using hyperlinks. Using concepts from earlier hypertext systems, British.

These technologies are combined in order to provide descriptions that supplement or replace the content of Web documents. Thus, content may manifest itself as descriptive data stored in Web-accessible databases A database consists of an organized collection of data for one or more uses, typically in digital form. One way of classifying databases involves the type of their contents, for example: bibliographic, document-text, statistical. Digital databases are managed using database management systems, which store database contents, allowing data creation ^[8], or as markup within documents (particularly, in Extensible HTML (XHTML XHTML is a family of XML markup languages that mirror or extend versions of the widely used Hypertext Markup Language (HTML), the language in which web pages are written) interspersed with XML, or, more often, purely in XML, with layout or rendering cues stored separately). The machine-readable descriptions enable content managers to add meaning to the content, i.e., to describe the structure of the knowledge we have about that content. In this way, a machine can process knowledge itself, instead of text, using processes similar to human deductive reasoning Deductive reasoning, also called Deductive logic, is reasoning which constructs or evaluates deductive arguments. In logic, an argument is deductive when its conclusion is a logical consequence of the premises. Deductive arguments are valid or invalid, never true or false. A deductive argument is valid if and only if the conclusion does follow and inference Inference is the process of drawing a conclusion by applying heuristics to observations or hypotheses; or by interpolating the next logical step in an intuited pattern. The conclusion drawn is also called an inference. The laws of valid inference are studied in the field of logic, thereby obtaining more meaningful results and helping computers to perform automated information gathering and research Research can be defined as the search for knowledge or any systematic investigation to establish facts. The primary purpose for applied research is discovering, interpreting, and the development of methods and systems for the advancement of human knowledge on a wide variety of scientific matters of our world and the universe. Research can use the.

An example of a tag that would be used in a non-semantic web page:

<item>cat</item>

Encoding similar information in a semantic web page might look like this:

<item rdf:about="http://dbpedia.org/resource/Cat">Cat</item>

Skeptical reactions

Practical feasibility

Critics (e.g. Which Semantic Web?) question the basic feasibility of a complete or even partial fulfillment of the semantic web. Cory Doctorow's critique ("metacrap") is from the perspective of human behavior and personal preferences. For example, people lie: they may include spurious metadata into Web pages in an attempt to mislead Semantic Web engines that naively assume the metadata's veracity. This phenomenon was well-known with metatags that fooled the AltaVista ranking algorithm into elevating the ranking of certain Web pages: the Google indexing engine specifically looks for such attempts at manipulation. Peter Gärdenfors and Timo Honkela point out that logic-based semantic web technologies cover only a fraction of the relevant phenomena related to semantics.^[9][10]

Where semantic web technologies have found a greater degree of practical adoption, it has tended to be among core specialized communities and organizations for intra-company projects.^[11] The practical constraints toward adoption have appeared less challenging where domain and scope is more limited than that of the general public and the World-Wide Web.^[11]

The potential of an idea in fast progress

The original 2001 Scientific American Scientific American was founded by inventor and publisher Rufus M. Porter in 1845 as a single-page newsletter. Throughout its early years much emphasis was placed on reports of what was going on at the U.S. Patent Office. It also reported on a broad range of inventions including perpetual motion machines, an 1849 device for buoying vessels by article by Berners-Lee described an expected evolution of the existing Web to a Semantic Web.^[12] A complete evolution as described by Berners-Lee has yet to occur. In 2006, Berners-Lee and colleagues stated that: "This simple idea, however, remains largely unrealized."^[13] While the idea is still in the making, it seems to evolve quickly and inspire many. Between 2007-2010 several scholars have already explored first applications and the social potential of the semantic web in the business and health sectors, and for social networking ^[14] and even for the broader evolution of democracy, specifically, how a society forms its common will in a democratic manner through a semantic web^[15]

Censorship and privacy

Enthusiasm about the semantic web could be tempered by concerns regarding censorship Internet censorship is control or suppression of the publishing or accessing of information on the Internet. The legal issues are similar to offline censorship and privacy Privacy is the ability of an individual or group to seclude themselves or information about themselves and thereby reveal themselves selectively. The boundaries and content of what is considered private differ among cultures and individuals, but share basic common themes. Privacy is sometimes related to anonymity, the wish to remain unnoticed or. For instance, text-analyzing techniques can now be easily bypassed by using other words, metaphors for instance, or by using images in place of words. An advanced implementation of the semantic web would make it much easier for governments to control the viewing and creation of online information, as this information would be much easier for an automated content-blocking machine to understand. In addition, the issue has also been raised that, with the use of FOAF FOAF is a machine-readable ontology describing persons, their activities and their relations to other people and objects. Anyone can use FOAF to describe him or herself. FOAF allows groups of people to describe social networks without the need for a centralised database files and geo location meta-data Metadata is “data about data.” Metadata is an emerging practice with close ties to librarianship, information science, information technology and GIS. It can be applied to a vast array of objects including both physical and electronic items such as raw data, books, CDs, DVDs, images, maps, database tables, and web pages. Since the emergence of, there would be very little anonymity associated with the authorship of articles on things such as a personal blog A blog is a type of website or part of a website. Blogs are usually maintained by an individual with regular entries of commentary, descriptions of events, or other material such as graphics or video. Entries are commonly displayed in reverse-chronological order. "Blog" can also be used as a verb, meaning to maintain or add content to a.

Doubling output formats

Another criticism of the semantic web is that it would be much more time-consuming to create and publish content because there would need to be two formats for one piece of data: one for human viewing and one for machines. However, many web applications In system software, a web application is an application that is accessed over a network such as the Internet or an intranet. The term may also mean a computer software application that is hosted in a browser-controlled environment [citation needed] or coded in a browser-supported language (such as JavaScript, combined with a browser-rendered in development are addressing this issue by creating a machine-readable format upon the publishing of data or the request of a machine for such data. The development of microformats has been one reaction to this kind of criticism. Another argument in defense of the feasibility of semantic web is the likely falling price of human intelligence tasks in digital labor markets like the Amazon Mechanical Turk.

Specifications such as eRDF and RDFa allow arbitrary RDF data to be embedded in HTML pages. The GRDDL (Gleaning Resource Descriptions from Dialects of Language) mechanism allows existing material (including microformats) to be automatically interpreted as RDF, so publishers only need to use a single format, such as HTML.

Need

The idea of a semantic web, able to describe, and associate meaning with data, necessarily involves more than simple XHTML mark-up code. It is based on an assumption that, in order for it to be possible to endow machines with an ability to accurately interpret web homed content, far more than the mere ordered relationships involving letters and words is necessary as underlying infrastructure, (attendant to semantic issues). Otherwise, most of the supportive functionality would have been available in Web 2.0 (and before), and it would have been possible to derive a semantically capable Web with minor, incremental additions.

Additions to the infrastructure to support semantic functionality include latent dynamic network models that can, under certain conditions, be 'trained' to appropriately 'learn' meaning based on order data, in the process 'learning' relationships with order (a kind of rudimentary working grammar). See for example latent semantic analysis

Components

The semantic web comprises the standards and tools of XML, XML Schema, RDF, RDF Schema and OWL that are organized in the Semantic Web Stack. The OWL Web Ontology Language Overview describes the function and relationship of each of these components of the semantic web:

• XML provides an elemental syntax for content structure within documents, yet associates no semantics with the meaning of the content contained within.
• XML Schema is a language for providing and restricting the structure and content of elements contained within XML documents.
• RDF is a simple language for expressing data models, which refer to objects ("resources") and their relationships. An RDF-based model can be represented in XML syntax.
• RDF Schema extends RDF and is a vocabulary for describing properties and classes of RDF-based resources, with semantics for generalized-hierarchies of such properties and classes.
• OWL adds more vocabulary for describing properties and classes: among others, relations between classes (e.g. disjointness), cardinality (e.g. "exactly one"), equality, richer typing of properties, characteristics of properties (e.g. symmetry), and enumerated classes.
• SPARQL is a protocol and query language for semantic web data sources.

Current ongoing standardizations include:

• Rule Interchange Format (RIF) as the Rule Layer of the Semantic Web Stack

Not yet fully realized layers include:

• Unifying Logic and Proof layers are undergoing active research.

The intent is to enhance the usability and usefulness of the Web and its interconnected resources through:

• Servers which expose existing data systems using the RDF and SPARQL standards. Many converters to RDF exist from different applications. Relational databases are an important source. The semantic web server attaches to the existing system without affecting its operation.
• Documents "marked up" with semantic information (an extension of the HTML <meta> tags used in today's Web pages to supply information for Web search engines using web crawlers). This could be machine-understandable information about the human-understandable content of the document (such as the creator, title, description, etc., of the document) or it could be purely metadata representing a set of facts (such as resources and services elsewhere in the site). (Note that anything that can be identified with a Uniform Resource Identifier (URI) can be described, so the semantic web can reason about animals, people, places, ideas, etc.) Semantic markup is often generated automatically, rather than manually.
• Common metadata vocabularies (ontologies) and maps between vocabularies that allow document creators to know how to mark up their documents so that agents can use the information in the supplied metadata (so that Author in the sense of 'the Author of the page' won't be confused with Author in the sense of a book that is the subject of a book review).
• Automated agents to perform tasks for users of the semantic web using this data
• Web-based services (often with agents of their own) to supply information specifically to agents (for example, a Trust service that an agent could ask if some online store has a history of poor service or spamming)

Challenges

Some of the challenges for the Semantic Web include vastness, vagueness, uncertainty, inconsistency and deceit. Automated reasoning systems will have to deal with all of these issues in order to deliver on the promise of the Semantic Web.

• Vastness: The World Wide Web contains at least 24 billion pages as of this writing (June 13, 2010). The SNOMED CT medical terminology ontology contains 370,000 class names, and existing technology has not yet been able to eliminate all semantically duplicated terms. Any automated reasoning system will have to deal with truly huge inputs.

• Vagueness: These are imprecise concepts like "young" or "tall". This arises from the vagueness of user queries, of concepts represented by content providers, of matching query terms to provider terms and of trying to combine different knowledge bases with overlapping but subtly different concepts. Fuzzy logic is the most common technique for dealing with vagueness.

• Uncertainty: These are precise concepts with uncertain values. For example, a patient might present a set of symptoms which correspond to a number of different distinct diagnoses each with a different probability. Probabilistic reasoning techniques are generally employed to address uncertainty.

• Inconsistency: These are logical contradictions which will inevitably arise during the development of large ontologies, and when ontologies from separate sources are combined. Deductive reasoning fails catastrophically when faced with inconsistency, because "anything follows from a contradiction". Defeasible reasoning and paraconsistent reasoning are two techniques which can be employed to deal with inconsistency.

• Deceit: This is when the producer of the information is intentionally misleading the consumer of the information. Cryptography techniques are currently utilized to alleviate this threat.

This list of challenges is illustrative rather than exhaustive, and it focuses on the challenges to the "unifying logic" and "proof" layers of the Semantic Web. The World Wide Web Consortium (W3C) Incubator Group for Uncertainty Reasoning for the World Wide Web (URW3-XG) final report lumps these problems together under the single heading of "uncertainty". Many of the techniques mentioned here will require extensions to the Web Ontology Language (OWL) for example to annotate conditional probabilities. This is an area of active research.^[16]

Projects

This section provides some example projects and tools, but is very incomplete. The choice of projects is somewhat arbitrary but may serve illustrative purposes. It is also remarkable that in this early stage of the development of semantic web technology, it is already possible to compile a list of hundreds of components that in one way or another can be used in building or extending semantic webs.^[17]

DBpedia

DBpedia is an effort to publish structured data extracted from Wikipedia: the data is published in RDF and made available on the Web for use under the GNU Free Documentation License, thus allowing Semantic Web agents to provide inferencing and advanced querying over the Wikipedia-derived dataset and facilitating interlinking, re-use and extension in other data-sources.

FOAF

A popular application of the semantic web is Friend of a Friend (or FoaF), which uses RDF to describe the relationships people have to other people and the "things" around them. FOAF permits intelligent agents to make sense of the thousands of connections people have with each other, their jobs and the items important to their lives; connections that may or may not be enumerated in searches using traditional web search engines. Because the connections are so vast in number, human interpretation of the information may not be the best way of analyzing them.

FOAF is an example of how the Semantic Web attempts to make use of the relationships within a social context.

GoodRelations for e-commerce

A huge potential for Semantic Web technologies lies in adding data structure and typed links to the vast amount of offer data, product model features, and tendering / request for quotation data.

The GoodRelations ontology is a popular vocabulary for expressing product information, prices, payment options, etc. It also allows expressing demand in a straightforward fashion.

GoodRelations has been adopted by BestBuy, Yahoo, OpenLink Software, O'Reilly Media, the Book Mashup, and many others.

SIOC

The SIOC Project - Semantically-Interlinked Online Communities provides a vocabulary of terms and relationships that model web data spaces. Examples of such data spaces include, among others: discussion forums, weblogs, blogrolls / feed subscriptions, mailing lists, shared bookmarks, image galleries.

SIMILE

Semantic Interoperability of Metadata and Information in unLike Environments

SIMILE is a joint project, conducted by the MIT Libraries and MIT CSAIL, which seeks to enhance interoperability among digital assets, schemata/vocabularies/ontologies, meta data, and services.

NextBio

A database consolidating high-throughput life sciences experimental data tagged and connected via biomedical ontologies. Nextbio is accessible via a search engine interface. Researchers can contribute their findings for incorporation to the database. The database currently supports gene or protein expression data and is steadily expanding to support other biological data types.

Linking Open Data

Datasets in the Linking Open Data project, as of Sept 2008

The Linking Open Data project is a W3C-led effort to create openly accessible, and interlinked, RDF Data on the Web. The data in question takes the form of RDF Data Sets drawn from a broad collection of data sources. There is a focus on the Linked Data style of publishing RDF on the Web.

OpenPSI

OpenPSI the (OpenPSI project) is a community effort to create UK government linked data service that supports research. It is a collaboration between the University of Southampton and the UK government, lead by OPSI at the National Archive and is supported by JISC funding.

Erfgoedplus.be

Erfgoedplus.be ('heritage-plus') is a Belgian project aimed at disclosing all types of heritage from the provinces of Limburg and Flemish Brabant and the city of Leuven to the public by applying semantic web technology. Erfgoedplus.be uses RDF/XML, OWL and SKOS to describe relationships to heritage types, concepts, objects, people, place and time. Data are normalized and enriched by means of thesauri (AAT) and an ontology (CIDOC CRM), available for input, conversion and navigation.

Erfgoedplus.be is a regional aggregator for EuropeanaLocal (Europeana) and an example of how semantic web technology is applied within the heterogeneous context of heritage.

See also

• Agris: International Information System for the Agricultural Sciences and Technology
• Business semantics management
• Corporate Semantic Web
• Entity-attribute-value model
• Linked Data
• List of emerging technologies
• Ontology learning
• Semantic advertising
• Semantic Sensor Web
• Semantic Web Services
• Social Semantic Web
• Smart-M3

References

1. ^ Berners-Lee, Tim; James Hendler and Ora Lassila (May 17, 2001). "The Semantic Web". Scientific American Magazine. http://www.sciam.com/article.cfm?id=the-semantic-web&print=true. Retrieved March 26, 2008.
2. ^ "W3C Semantic Web Frequently Asked Questions". W3C. http://www.w3.org/2001/sw/SW-FAQ. Retrieved March 13, 2008.
3. ^ Herman, Ivan (March 12, 2008). "W3C Semantic Web Activity". W3C. http://www.w3.org/2001/sw/. Retrieved March 13, 2008.
4. ^ Berners-Lee, Tim; Fischetti, Mark (1999). Weaving the Web. HarperSanFrancisco. chapter 12. ISBN 9780062515872.
5. ^ Gerber, AJ, Barnard, A & Van der Merwe, Alta (2006), A Semantic Web Status Model, Integrated Design & Process Technology, Special Issue: IDPT 2006
6. ^ Gerber, Aurona; Van der Merwe, Alta; Barnard, Andries; (2008), A Functional Semantic Web architecture, European Semantic Web Conference 2008, ESWC’08, Tenerife, June 2008.
7. ^ Victoria Shannon (June 26, 2006). "A 'more revolutionary' Web". International Herald Tribune. http://www.iht.com/articles/2006/05/23/business/web.php. Retrieved May 24, 2006.
8. ^ Artem Chebotko and Shiyong Lu, "Querying the Semantic Web: An Efficient Approach Using Relational Databases", LAP Lambert Academic Publishing, ISBN 978-3-8383-0264-5, 2009.
9. ^ Gärdenfors, Peter (2004). How to make the Semantic Web more semantic. IOS Press. p. 17–34.
10. ^ Timo Honkela, Ville Könönen, Tiina Lindh-Knuutila and Mari-Sanna Paukkeri (2008). "Simulating processes of concept formation and communication". Journal of Economic Methodology. http://www.informaworld.com/smpp/content~content=a903999101.
11. ^ ^{a b} Ivan Herman (2007). "State of the Semantic Web". Semantic Days 2007. http://www.w3.org/2007/Talks/0424-Stavanger-IH/Slides.pdf. Retrieved July 26, 2007.
12. ^ Berners-Lee, Tim (May 1, 2001). "The Semantic Web". Scientific American. http://www.sciam.com/article.cfm?articleID=00048144-10D2-1C70-84A9809EC588EF21. Retrieved March 13, 2008.
13. ^ Nigel Shadbolt, Wendy Hall, Tim Berners-Lee (2006). "The Semantic Web Revisited". IEEE Intelligent Systems. http://eprints.ecs.soton.ac.uk/12614/1/Semantic_Web_Revisted.pdf. Retrieved April 13, 2007.
14. ^ Lee Feigenbaum (May 1, 2007). "The Semantic Web in Action". Scientific American. http://www.thefigtrees.net/lee/sw/sciam/semantic-web-in-action. Retrieved February 24, 2010.
15. ^ Martin Hilbert (April, 2009). "The Maturing Concept of E-Democracy: From E-Voting and Online Consultations to Democratic Value Out of Jumbled Online Chatter". Journal of Information Technology and Politics. http://www.informaworld.com/smpp/content~db=all~content=a911066517. Retrieved February 24, 2010.
16. ^ Lukasiewicz, Thomas; Umberto Straccia. "Managing uncertainty and vagueness in description logics for the Semantic Web". http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B758F-4SPSPKW-1&_user=147018&_coverDate=11%2F30%2F2008&_rdoc=1&_fmt=&_orig=search&_sort=d&_docanchor=&view=c&_acct=C000012179&_version=1&_urlVersion=0&_userid=147018&md5=8123c273189b1148cadb12f95b87a5ef.
17. ^ See, for instance: Bergman, Michael K.. "Sweet Tools". AI3; Adaptive Information, Adaptive Innovation, Adaptive Infrastructure. http://www.mkbergman.com/?page_id=325. Retrieved January 5, 2009.

Further reading

• Grigoris Antoniou, Frank van Harmelen (March 31, 2008). A Semantic Web Primer, 2nd Edition. The MIT Press. ISBN 0262012421. http://www.amazon.com/Semantic-Primer-Cooperative-Information-Systems/dp/0262012421/.
• Dean Allemang, James Hendler (May 9, 2008). Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL. Morgan Kaufmann. ISBN 9780123735560. http://www.amazon.com/Semantic-Web-Working-Ontologist-Effective/dp/0123735564/.
• John Davies (July 11, 2006). Semantic Web Technologies: Trends and Research in Ontology-based Systems. Wiley. ISBN 0470025964. http://www.amazon.com/Semantic-Web-Technologies-Research-Ontology-based/dp/0470025964/.
• Pascal Hitzler, Markus Krötzsch, Sebastian Rudolph (August 25, 2009). Foundations of Semantic Web Technologies. CRCPress. ISBN 142009050X. http://www.semantic-web-book.org.
• Thomas B. Passin (March 1, 2004). Explorer's Guide to the Semantic Web. Manning Publications. ISBN 1932394206. http://www.amazon.com/Explorers-Guide-Semantic-Thomas-Passin/dp/1932394206/.
• Liyang Yu (June 14, 2007). Introduction to Semantic Web and Semantic Web Services. CRC Press. ISBN 1584889330. http://www.amazon.com/Introduction-Semantic-Web-Services/dp/1584889330/.
• Jeffrey T. Pollock (March 23, 2009). Semantic Web For Dummies. For Dummies. ISBN 0470396792. http://www.amazon.com/gp/product/0470396792.
• Martin Hilbert (April, 2009). The Maturing Concept of E-Democracy: From E-Voting and Online Consultations to Democratic Value Out of Jumbled Online Chatter. Journal of Information Technology & Politics. ISBN 1680802715242. http://www.informaworld.com/smpp/content~db=all~content=a911066517.

External links

• Official website
• W3C Semantic Web Activity
• links collection on Semantic Overflow
• Semantic Technology and the Enterprise
• SSWAP: Simple Semantic Web Architecture and Protocol

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