IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 31(5), September, Special Issue on Socially Intelligent Agents Edited by Kerstin Dautenhahn

نویسنده

Bruce Edmonds

چکیده

The Semantic Web vision has evolved in the last years as a blueprint for a knowledge-based framework aimed at crossing the chasm from the current Web of unstructured information resources to a Web equipped with metadata and oriented to delegation of tasks to software agents. Ontologies are the key piece of this framework in that they provide shared semantics to metadata, thus enabling a degree of semantic interoperability. The requirements of large-scale deployment and interoperability of the Semantic Web vision represent a major challenge to data and knowledge engineering, which raises a number of issues and requirements regarding how to represent, create, manage and use both ontologies as shared knowledge representations, but also large volumes of metadata records used to annotate Web resources of a diverse kind. The special issue aims at helping in communicating and disseminating relevant recent research in knowledge and data engineering as applied to the context of Information Systems. The scope of the call includes Knowledge Engineering for organizational applications, Semantic Web approaches to Information Systems and Ontology-Based Information Systems research, as well as the diverse underlying Database and Knowledge Representation aspects. Papers dealing with aspects that touch both aspects are especially sought. This is intended to initiate a dialog between the organizational and more technical views of the field.

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