Group items tagged

Our flagship product, Thetus Publisher, provides a comprehensive framework for semantic knowledge modeling, searching, sharing and tracking knowledge across the enterprise. Thetus semantic solutions empower data-rich organizations in a broad range of industries to leverage the full potential of the knowledge that drives complex analysis and informed decision-making.

How Semantic Web Technologies are Enabling the Bench to Bedside Vision Summary *Semantic Web Technologies help to integrate diverse data sets *Beneficial for drug safety and personalized medicine *Triple stores and on-the-fly mappings *Many organizations are deploying Semantic Web solutions in the life sciences

Cycorp is a leading provider of semantic technologies that bring a new level of intelligence and common sense reasoning to a wide variety of software applications. The Cyc® software combines an unparalleled common sense ontology and knowledge base with a powerful reasoning engine and natural language interfaces to enable the development of novel knowledge-intensive applications. As a premier knowledge-based technologies research and development company, Cycorp leverages its cutting edge innovations in knowledge representation, machine reasoning, natural language processing, semantic data integration, and information management and search to offer an array of semantic middleware, knowledge-based application development capabilities, and turn-key solutions.

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.

What is LOCO-Analyst? LOCO-Analyst is an educational tool aimed at providing teachers with feedback on the relevant aspects of the learning process taking place in a web-based learning environment, and thus helps them improve the content and the structure of their web-based courses. LOCO-Analyst aims at providing teachers with feedback regarding: *  all kinds of activities their students performed and/or took part in during the learning process, *  the usage and the comprehensibility of the learning content they had prepared and deployed in the LCMS, *  contextualized social interactions among students (i.e., social networking) in the virtual learning environment. This Web site provides some basic information about LOCO-Analyst, its functionalities and implementation. In addition, you can watch videos illustrating the tool's functionalities. You can also learn about the LOCO (Learning Object Context Ontologies) ontological framework that lies beneath the LOCO-Analyst tool and download the ontologies of this framework.

"Earlier this month, I wrote about the Higher Education sector's interest in the opportunities presented by use of semantic technologies. Today I published a podcast with Thanassis Tiropanis, project manager for the recently finished SemTech report and co-organiser of a workshop on Semantic Web applications for learning and teaching which takes place in Nice on 30 September."

What are the big players doing in semantic search? And which of the startups are challenging them? How does semantic technology change search results? What are the key advantages and new opportunities that semantics provides in both the consumer and business search markets?