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Abstract. Recent developments in Web technologies and using AI techniques to support efforts in making the Web more intelligent and provide higher-level services to its users have opened the door to building the Semantic Web. That fact has a number of important implications for Web-based education, since Web-based education has become a very important branch of educational technology. Classroom independence and platform independence of Web-based education, availability of authoring tools for developing Web-based courseware, cheap and efficient storage and distribution of course materials, hyperlinks to suggested readings, digital libraries, and other sources of references relevant for the course are but a few of a number of clear advantages of Web-based education.

The use of the semantic web in education is explored. Two application areas for use are discussed: a) software agents that support teachers in performing their tasks in flexible online educational settings, and b) software agents that interpret the structure of distributed, self-organized, self-directed learning networks for lifelong learning. The resulting information is used by learners to help persons them perform their tasks in this context more effectively and efficiently.

IBM To represent the Semantic Web, you'll use the following technologies: * A global naming scheme (URIs) * A standard syntax for describing data (RDF) * A standard means of describing the properties of that data (RDF Schema) * A standard means of describing relationships between data items (ontologies defined with the OWL Web Ontology Language) Let's take a closer look at these technologies.

Franz Inc. is the leading supplier of commercial, persistent and scalable RDF Graph Database products. AllegroGraph RDFStore provides the solid storage layer for powerful reasoning and ontology modeling capabilities. Franz's semantic technology solutions are uniquely positioned to help bring your Web 3.0 ideas to reality.

The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. The following is an archive of some of the publications or interviews that were published by the W3C Staff.

Tamara Munzner Ph.D. dissertation, Stanford University, June 2000. Abstract *Visualization/graphing strategy for large semantic networks is described. Very technical.* Many real-world domains can be represented as large node-link graphs: backbone Internet routers connect with 70,000 other hosts, mid-sized Web servers handle between 20,000 and 200,000 hyperlinked documents, and dictionaries contain millions of words defined in terms of each other. Computational manipulation of such large graphs is common, but previous tools for graph visualization have been limited to datasets of a few thousand nodes. Visual depictions of graphs and networks are external representations that exploit human visual processing to reduce the cognitive load of many tasks that require understanding of global or local structure. We assert that the two key advantages of computer-based systems for information visualization over traditional paper-based visual exposition are interactivity and scalability. We also argue that designing visualization software by taking the characteristics of a target user's task domain into account leads to systems that are more effective and scale to larger datasets than previous work.

Thomas K Landauer, Department of Psychology, University of Colorado at Boulder Peter W. Foltz, Department of Psychology, New Mexico State University Darrell Laham, Department of Psychology, University of Colorado at Boulder Latent Semantic Analysis (LSA) is a theory and method for extracting and representing the contextual-usage meaning of words by statistical computations applied to a large corpus of text (Landauer and Dumais, 1997). The underlying idea is that the aggregate of all the word contexts in which a given word does and does not appear provides a set of mutual constraints that largely determines the similarity of meaning of words and sets of words to each other. The adequacy of LSA's reflection of human knowledge has been established in a variety of ways. For example, its scores overlap those of humans on standard vocabulary and subject matter tests; it mimics human word sorting and category judgments; it simulates word<>word and passage<>word lexical priming data; and, as reported in 3 following articles in this issue, it accurately estimates passage coherence, learnability of passages by individual students, and the quality and quantity of knowledge contained in an essay.

Motivation Educational Systems are gradually incorporating Semantic Web technology. The general purpose is to make the Web more understandable by machines and then generate educational systems that are more adaptable and intelligent.

"Events [Cal. 2009] Finance - Breaking the conspiracy for ignorance (Amsterdam, 5 October 2009), Semantic training of TopQuadrant (Amsterdam, 5 October 2009), OWLED 2009 (Chantilly, VA, 23 October 2009), Rr2009 (Virginia, 25 October 2009), ISWC2009 (Chantilly, VA, 25 October 2009, subevents: SDoW2009, SMR2-2009) view all events …"

"SemHE 2009: Semantic web applications for learning and teaching support in higher education"

"The fourth of July holiday is upon us. And this year, why not celebrate democracy by checking out the open source project GovTrack.us, a site where you can follow the status of federal legislation and members of Congress? The government, of course, puts lots of data about the activities of the U.S. Congress on the web. THOMAS, for example, provides legislative information from the Library of Congress. But much of the time, the user interfaces to sites like this are less than optimal, and the data in each exists in its own individual silo. GovTrack.us is one graduate student's attempt to change the experience when it comes to getting information on pending legislation (and about a decade's worth of historical data on the topic), both in terms of a more accessible interface and pulling together data on the topic from multiple government sources. "

"The Voice of Semantic Web Business & Technology"

Latent Semantic Analysis @ CU Boulder Demonstration tools that use LSA.

Showing 364 publications - semantic web

Since 1994, TextWise has been designing, building and implementing complex content-driven technology solutions that have one unifying objective: To understand the meaning of text for the purpose of delivering useful, scalable, and relevant semantic applications. TextWise has developed some of the seminal work in text extraction and was one of the early developers of NLP search engine technology fueled by the US intelligence agencies' requirement for "smart" communications.

Synonyms computational ontology, semantic data model, ontological engineering Definition In the context of computer and information sciences, an ontology defines a set of representational primitives with which to model a domain of knowledge or discourse. The representational primitives are typically classes (or sets), attributes (or properties), and relationships (or relations among class members). The definitions of the representational primitives include information about their meaning and constraints on their logically consistent application.

In this paper it is presented our contribution for carrying out adaptive and intelligent Web-based Education Systems (WBES) that take into account the individual student learning requirements, by means of a holistic architecture and Framework for developing WBES. In addition, three basic modules of the proposed WBES are outlined: an Authoring tool, a Semantic Web-based Evaluation, and a Cognitive Maps-based Student Model. As well, it is stated a Service Oriented Architecture (SOA) oriented to deploy reusable, accessible, durable and interoperable services. The approach enhances the Learning Technology Standard Architecture, proposed by IEEE-LTSA (Learning Technology System Architecture) [IEEE 1484.1/D9 LTSA (2001). Draft standard for learning technology - learning technology systems architecture (LTSA). New York, USA. URL: http://ieee.ltsc.org/wg1], and the Sharable Content Object Reusable Model (SCORM), claimed by Advanced Distributed Learning (ADL) [Advanced Distributed Learning Initiative (2004). URL: http://www.adlnet.org].

Zepheira provides end to end solutions to integrate, navigate and manage information across personal, group and enterprise boundaries. From education to implementation we apply semantic technology to address data integration challenges, organize patterns and relationships inherent in your data, clear up complexity, and increase collaboration among your employees, partners and customers.

Calais enhances your content with rich semantic metadata. Using your content as a starting point, you can utilize Calais to automatically add metadata such as entities (people, places, organizations, etc.), facts (John Doe work for Acme Corporation as the CEO), and events (a natural disaster of type landslide happened on date x). That metadata is generated in industry-standard formats that ease integration with whatever commercial, open source or proprietary content management system you are using. Metadata in and of itself is not too interesting. Where things get more interesting is what you can do with it.

ur patented Metatomix Platform for Life Sciences harnesses the power of semantic web standards and combines ontology-based modeling, middleware integration, business rules processing and advanced data visualization that delivers seamless unification and enrichment of disparate data sources (both structured and unstructured), makes the enriched information actionable and provides insights into the information that were previously unavailable.