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Intelligent Learning Infrastructure for Knowledge Intensive Organizations: A Semantic Web Perspective

Miltiadis D. Lytras (Effat University, Saudi Arabia) and Ambjörn Naeve (Royal Institute of Technology, Uppsala University, and Stockholm University, Sweden)
Indexed In: SCOPUS View 1 More Indices
Release Date: April, 2005 | Copyright: © 2005 | Pages: 432

Publication Status: E-Book and Print Version Available for Purchase
ISBN13: 9781591405030
EISBN13: 9781591405054
DOI: 10.4018/978-1-59140-503-0

Description:

In the context of Knowledge Society, the convergence of knowledge and learning management is a critical milestone. Intelligent Learning Infrastructure for Knowledge Intensive Organizations: A Semantic Web Perspective provides state-of–the art knowledge through a balanced theoretical and technological discussion. The semantic web perspective helps reader to understand the new era of intelligent learning infrastructures in knowledge intensive organizations. Knowledge management, learning management, e-collaboration, intelligent tutoring and learning systems, ontologies, semantic web technologies, corporate learning, integrative knowledge portals, distributed knowledge and learning repositories, peer-to-peer technologies are discussed in a holistic way providing a reference book for the research area.

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Miltiadis D. Lytras is a visiting researcher at Effat University. Dr Lytras is a world-class expert in the fields of cognitive computing, information systems, technology-enabled innovation, social networks, computers in human behavior, and knowledge management. He is an expert in advanced computer science and management, editor, lecturer, and research consultant, with extensive experience in academia and the business sector in Europe and Asia. He served as the Editor in Chief of the International Journal in Semantic Web and Information Systems. He has co-edited more than 110 high impact factor special issues in ISI/Scopus indexed journals and co-Edited/Authored more than 80 books in international publishers including Elsevier, Emerald, IGI-Global, Springer, etc. Dr Lytras has co-authored more than 120 high impact factor papers in Q1 and Q2, Web of Science and Scopus indexed Journals. Dr. Lytras has a 25 years’ experience on Research and Development projects and grants with significant skills and competencies to the successful conceptualization, financing and implementation of R&D projects with extensive experience in Europe, Middle East, and Far East. He has involved in more than 70 R&D projects overtime. Main areas of expertis Dr. Lytras has hold various senior editorial positions in prestigious journals over time including Editor in Chief and Associate Editor positions.

Ambjorn Naeve (http://kmr.nada.kth.se/people/ambcv.html or http://www.nada.kth.se/ ~amb) has a background in mathematics and computer science and received his PhD in computer science from KTH in 1993. He is presently coordinator of research on interactive learning environments and the Semantic Web at the Centre for user-oriented Information technology Design (CID; http://cid.nada.kth.se) at the Royal Institute of Technology (KTH; http://www.kth.se) in Stockholm, where he heads the Knowledge Management Research group (KMR; http://kmr.nada.kth.se). Ambjörn Naeve has been involved with research and development of interactive learning environments at CID since he initiated the Garden of Knowledge project there in 1996. He has taught mathematics at KTH since 1967, and during the last two decades he has headed the development of a multitude of tools for ICT-enhanced mathematics education (http:// kmr.nada.kth.se/math). Ambjörn Naeve is also a well-known industry consultant with extensive experience in various forms of modeling for software engineering and business applications. He has invented the concept browser Conzilla (http://www.conzilla.org) and has developed a modeling technique (based on UML) called Unified Language Modeling (ULM; http://kmr.nada.kth.se/cm) that has been designed in order to “draw how we talk about things,” that is, to depict conceptual relationships in a linguistically coherent way.

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