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Thetus Publisher Thetus semantic knowledge modeling solutions provide a unique ability to view systems holistically and transcend a data-bound view of problems. At their core, semantic knowledge models are comprised of beliefs and facts expressed through human-readable concepts and relationships. Our flagship product, the Thetus Publisher™, provides a groundbreaking foundation for leveraging semantic technologies to create, manage and evolve semantic knowledge models. The Publisher platform is used in a broad set of integrated solutions ranging from systems for resource modeling to applications for intelligence and national defense.

Semantic Web applications offer great potential to student modellers who have traditionally struggled with issues of re-use, portability and tight coupling with learning applications. In this paper, we describe our use of ontology languages and elearning standards to develop a loosely coupled and portable student modelling architecture used in a large-scale, distributed production learning environment.

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].

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.

The paper describes some models for knowledge construction and analyzes them in terms of their suitability as instruments for the introduction of semantics on the web. The paper then provides evidence regarding some limits for the systematic use of semantic search engine and ontology domain systems in everyday teaching and knowledge construction.

Welcome to the laboratory for Advanced Research in Intelligent Educational Systems (ARIES). The lab was founded in 1987 with the goal of deepening both research and practice in intelligent systems and how they apply to teaching and learning. Faculty, staff, and students within the laboratory contribute to numerous academic areas, such as user modeling, artificial intelligence, adaptive hypermedia, e-learning, and information visualization.

This paper presents an ontology-based framework aimed at explicitly representing the context of the use of a learning object inside of a learning design. The core of the proposed framework is a learning object context ontology that leverages a range of other kinds of learning ontologies (e.g. domain, user modeling, learning design etc.) to capture the context-specific metadata. On top of that framework, we develop the architecture of an adaptive educational system, in order to illustrate the benefits of our proposal for personalization of learning design. Finally, we reflect on how two present educational tools (iHelp Courses and TANGRAM) correspond to the proposed architecture.

Oracle Spatial 11g introduces the industry's first open, scalable, secure and reliable RDF management platform. Based on a graph data model, RDF triples are persisted, indexed and queried, similar to other object-relational data types. The Oracle 11g RDF database ensures that application developers benefit from the scalability of Oracle 11g to deploy scalable and secure semantic applications. Application areas include: * Life Sciences: Biological pathway analysis, discovery and enhanced search. * Defense & Intelligence: Data and content integration, reasoning and inference. * Enterprise Application Integration: Data and systems integration, semantic enterprise integration and semantic web services. * CRM/ERP: Supply chain integration, sourcing optimization and customer service automation.

General purpose ontologies and domain ontologies make up the infrastructure of the Semantic Web, which allow for accurate data representations with relations, and data inferences. In our approach to multimodal dialogue systems providing question answering functionality (SMARTWEB), the ontological infrastructure is essential. We aim at an integrated approach in which all knowledge-aware system modules are based on interoperating ontologies in a common data model. The discourse ontology is meant to provide the necessary dialogue- and HCI concepts. We present the ontological syntactic structure of multimodal question answering results as part of this discourse ontology which extends the W3C EMMA annotation framework and uses MPEG-7 annotations. In addition, we describe an extension to ontological result structures where automatic and context-based sorting mechanisms can be naturally incorporated.

Project10X has just published a new study that charts the next stage of internet evolution - Web 3.0 - and the role semantic technologies in next generation applications and business models. Entitled Semantic Wave 2008 Report: Industry Roadmap to Web 3.0 and Multibillion Dollar Market Opportunities, this study is must reading for investors, technology developers, and enterprises in the public and private sector who want to better understand semantic technologies, the business opportunities they present, and the ways Web 3.0 will change how we use and experience the internet for pleasure and profit. The report is 400+ pages, comprehensive, well illustrated, and written to be readily understood by business and government executives as well as IT professionals. We invite you to download a free 27-page summary of this report at the following link: Semantic Wave 2008 Report: Executive Summary

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.

A complex set of extensions to the World Wide Web, the Semantic Web will make data and services more accessible to computers and useful to people. Some of these extensions are being deployed, and many are coming in the next years. This is the only book to explore the territory of the Semantic Web in a broad and conceptual manner. This Guide acquaints you with the basic ideas and technologies of the Semantic Web, their roles and inter-relationships. The key areas covered include knowledge modeling (RDF, Topic Maps), ontology (OWL), agents (intelligent and otherwise), distributed trust and belief, "semantically-focused" search, and much more. The book's basic, conceptual approach is accessible to readers with a wide range of backgrounds and interests. Important points are illustrated with diagrams and occasional markup fragments. As it explores the landscape it encounters an ever-surprising variety of novel ideas and unexpected links. The book is easy and fun to read - you may find it hard to put down.

Select ARIES Publications Welcome to the laboratory for Advanced Research in Intelligent Educational Systems (ARIES). The lab was founded in 1987 with the goal of deepening both research and practice in intelligent systems and how they apply to teaching and learning. Faculty, staff, and students within the laboratory contribute to numerous academic areas, such as user modeling, artificial intelligence, adaptive hypermedia, e-learning, and information visualization. The laboratory is headed by Dr. Gordon McCalla, and is funded in part by the the TeleLearning Network Centres of Excellence (1995-1999), and the LORNET NSERC Research Network (2003-Present). ARIES is one of the many laboratories within the Department of Computer Science at the University of Saskatchewan.

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.

TopQuadrant assists customers in planning, designing and deploying semantic solutions that enable systems and people to quickly fuse relevant information from diverse sources, put knowledge into context, collaborate effectively, and make better decisions. We provide structured solution packages that combine: * Open architecture platform built specifically to implement W3C semantic web standards * Integration with the best of breed third party components * Training and mentoring on the applications of Semantic Web technology * Proven methodology fine tuned to the implementation needs of the semantic solutions * Planning, modeling and implementation services

Presentation Outline *Data Integration in the Life Sciences *Characterizing the Semantic Web *Oracle RDF Data Model *Customer Use Cases *W3C's Work in Health Care and Life Sciences

This document concerns the management of the output of insight generators, the software agents utilized in the insight generation systems. The solution to managing these reports involves the automatic creation of a repository for all materials generated by various insight generators; this repository allows the user to navigate through this continually growing space of marketing reports, gaining new insights about the relationships between items of interest and adding new insights in the process. The goal of the system is to make all marketing information and insights generated by the man/machine interaction available to the user, so that there is a convergence towards a "conservation of information". To use a geometric metaphor, the goal is to make the user equidistant from all information at all times, as illustrated below.

At the ACM Hypertext Conference a panel discussed "The Next Big Thing Inc." in the area of hypertext and hypermedia. The Web has been the "Big Thing" during the past 10 years, but its success has also made it very difficult to find the appropriate information in an ocean of over 3 billion pages. Whereas search engines achieve incredible precision, they suffer from the same "one size fits all" approach that characterizes the Web sites they index. The paper defends the position that personalization, and in particular automatic personalization or adaptation, is the key to reach the goal of offering each individual user (or user group) the information they need. During the panel discussion there was debate about whether the user should always have access and control over the entire (hypertextual) information space. There were different views on whether the "right" to all the information is best guaranteed by offering tools that reduce the information space the user perceives so that the user can actually find and reach the information, or by offering unfiltered access to an ocean of information in which everything is available but in which perhaps nothing can be found. We argue in favor of adaptation but at the same time point out flaws in the way adaptive hypermedia has been used until now. The paper then proposes a new, modular adaptive hypermedia architecture that should lead to adaptive Web-based systems as the "Next Big Thing" indeed.

2006