Group items tagged

Semantic Computing Research Group (SeCo) researches machine-processable semantics related to, e.g., the Semantic Web. We are located at the Aalto University, School of Science and Technology. Our research is focused on semantic media technologies, such as the Semantic Web and intelligent web services. In addition to research and publications, we also create prototype applications that demonstrate the new possibilities of semantic technologies, such as semantic portals for end-users, semantic infrastructural services, and ontologies and tools for creating semantic applications.

The Semantic Web is a vision for extending the Web so that machines can more intelligently integrate and process the wealth of information that is available. Unlike HTML and ordinary XML, Semantic Web languages allow semantics (i.e., meaning) to be explicitly associated with the content. The semantics are formally specified in ontologies, which can be shared via the Internet and extended for local needs. The current standard for the Semantic Web is OWL, a W3C Recommendation. The Semantic Web and Agent Technologies (SWAT) lab is investigating many of the issues needed to realize the Semantic Web vision.

Semantic Radar is a semantic metadata detector for Mozilla Firefox. Available at Mozilla Add-ons site. It is a browser extension which inspects web pages for links to Semantic Web metadata and informs about presence of it by showing an icon in browser's status bar. Currently it supports RDF autodiscovery (SIOC, FOAF, DOAP and any type) and RDFa metadata detection. New: Semantic Radar can now ping the Semantic Web Ping Service when metadata are detected. This allows for a community based discovery of the Semantic Web data.

The journal Semantic Web - Interoperability, Usability, Applicability (ISSN: 1570-0844) brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics - or meaning - of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas.

Zhe Research Group Agile Knowledge Engineering and Semantic Web (AKSW) is hosted by the Chair of Business Information Systems (BIS) of the Institute of Computer Science (IfI) / University of Leipzig as well as the Institute for Applied Informatics (InfAI). Development of methods, tools and applications for adaptive Knowledge Engineering in the context of the Semantic Web Research of underlying Semantic Web technologies and development of fundamental Semantic Web tools and applications Maturation of strategies for fruitfully combining the Social Web paradigms with semantic knowledge representation techniques

A semantic wiki engine is a specific kind of wiki engine that extends the wiki's function of collaborative content management with Semantic Web technologies. It is thus also a kind of Semantic content management system. Some, but not all, semantic wikis should also be classified as Ontology editor or Semantic annotation tool. Note that this category is only for concrete software tools. For a general category that contains things related to semantic wikis, please see the Category:semantic wiki.

the wiki for the community of users, administrators and developers of the Semantic MediaWiki extension to the MediaWiki application, and all its spinoff extensions, including Semantic Forms, Semantic Drilldown, Semantic Result Formats, Halo, Semantic Maps and others. The wiki itself uses many of these extensions, in order to provide a flexible yet structured interface to the data. Here you will find information on people and organizations in the Semantic MediaWiki community, a listing of SMW-based sites, a list of extensions themselves, a list of SMW-related events, a list of requested features for the extensions, and a list of "packages", which are collections of wiki pages defining properties, templates, forms etc. that can be imported into one's wiki to create an instant data structure.

Foundations of Semantic Web Technologies Chapman & Hall/CRC, 2009, 455 pages, hardcover ISBN: 9781420090505 (BibTeX). Semantic Web is a maturing field of technology that continues to be the emphasis of much focused research. This foundational text introduces the standardized knowledge representation languages for modeling ontologies operating at the core of the semantic web. To support the presentation of each language, the authors explain syntax and underlying intuitions through examples, with separate treatment of the underlying formal semantics. They cover RDF Schema, Web Ontology Language (OWL), rules, and query languages, such as SPARQL. The book also presents recent developments concerning the OWL 2 revision and the forthcoming Rule Interchange Format (RIF).

Semantic matching is a type of ontology matching technique that relies on semantic information encoded in lightweight ontologies to identify nodes that are semantically related. Given any two graph-like structures, like classifications, database or XML schemas and ontologies, matching is an operator that identifies those nodes in the two structures which semantically correspond to one another. For example, applied to file systems it can identify that a folder labeled "car" is semantically equivalent to another folder "automobile" because they are synonyms in English. This information can be taken from a linguistic resource like WordNet.

The Semantic Web Stack, also known as Semantic Web Cake or Semantic Web Layer Cake, illustrates the architecture of the Semantic Web.

"The Semantic Web, Web 3.0, the Linked Data Web, the Web of Data…whatever you call it, the Semantic Web represents the next major evolution in connecting information. It enables data to be linked from a source to any other source and to be understood by computers so that they can perform increasingly sophisticated tasks on our behalf."

"Semantic MediaWiki (SMW) is a free, open-source ex­ten­sion to MediaWiki - the wiki soft­ware that pow­ers Wikipedia - that lets you store and query data with­in the wiki's pages. Semantic MediaWiki is also a full-fledged frame­work, in con­junc­tion with many spin­off ex­ten­sions, that can turn a wiki into a pow­er­ful and flex­i­ble know­ledge manage­ment sys­tem. All data cre­ated with­in Semantic MediaWiki can easi­ly be ex­port­ed or pub­lish­ed via the Semantic Web, al­low­ing other sys­tems to use this data seam­less­ly."

"The annual SEMANTiCS conference (formerly known as I-Semantics) is the meeting place for professionals who make semantic computing work, and understand its benefits and know its limitations. Every year, SEMANTiCS attracts information managers, IT-architects, software engineers, and researchers, from organisations ranging from NPOs, public administrations to the largest companies in the world."

Linked Data is a method to publish data on the Web and to interlink data between different data sources. Linked Data can be accessed using Semantic Web browsers, just as traditional Web documents are accessed using HTML browsers. However, instead of following document links between HTML pages, Semantic Web browsers enable surfers to navigate between different data sources by following RDF links. RDF links can also be followed by robots or Semantic Web search engines in order to crawl the Semantic Web. See Linked Data - The Story so far and How to publish Linked Data on the Web for more information about Linked Data.

This section of the OpenStructs Web site provides rather complete documentation for the Semantic Components, our ontological driven user interface framework. A semantic component is a Flex component that takes record(s) description(s) and irXML schema(s) as input, and that output some (possibly interactive) visualization(s) of that record. Depending on the logic described in the input schema(s) and the input record(s) description(s), the semantic component will behave differently to optimize its presentation to the users.

Ground-breaking profiling, semantic search, navigation and optimization solutions. TextDigger offers the most intuitive, evolved, versatile and scalable semantic and linguistic profiling solutions for enriching your web-based content TextDigger has empowered businesses like yours to improve the findability of Internet and intranet content by providing scalable solutions for related search, automatic tagging, and semantic keyword generation. From web publishers, to e-commerce sites, to social networking and corporate enterprises, TextDigger's solutions leverage proprietary semantic technology to make your web pages easier to find, navigate and monetize.

The first site on the semantic web ^ Why do we call http://www.mindswap.org the first site on the Semantic Web? The MINDSWAP Group ^ The Semantic Web Research Group is a group of people working with Semantic Web technology inside the MIND LAB at University of Maryland Institute for Advanced Computer Studies

"Semantic University is the largest and most accessible source of educational material relating to semantics and Semantic Web technologies."

"Our goal at Semantic University is to make it easy for anyone to get started with the Semantic Web and related semantic technologies. The content will start from the beginning, introducing vocabulary and concepts with each lesson and hands-on training online."

"he Semantic Web is an extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C).[1] The goal of the Semantic Web is to make Internet data machine-readable. To enable the encoding of semantics with the data, technologies such as Resource Description Framework (RDF)[2] and Web Ontology Language (OWL)[3] are used. These technol"