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The dream of a global knowledge network—A new approach

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Abstract

Decades of research have been devoted to the goal of creating systems which integrate information into a global knowledge network, yet we still face problems of cross-repository interoperability, lack of public infrastructure, and a coherent research agenda—both theoretical and practical—to face these challenges. Interest in the semantic Web has revived the dream, but many are sceptical. This article offers a breakthrough to problems of semantic interoperability and defends the feasibility of a global knowledge network against traditional counterarguments. It offers a new approach based on (i) interdisciplinary research of scholarly and scientific discourse, (ii) a generic global ontological model based on relations and co-reference rather than objects, (iii) semi-automatic maintenance of co-reference links, and (iv) public engagement in the creation and development of the network.

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  1. The dream of a global knowledge network—A new approach

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                    Constantin S Chassapis

                    The fundamental objective of users seeking information is not to "get an object," which is what happens, for example, after following a Web hyperlink, but to understand a subject. Understanding is unveiled through associations?associations of database records, digital objects, metadata, or indices. Knowledge is understanding?and vice versa. The feasibility of a global knowledge network is not a dream anymore. This is a direct consequence of the line of reasoning presented in this paper, based on a generic global ontological model that is based on relationships and coreference rather than objects. This fine paper presents a work that I can describe as knowledge engineering at its best. Even though the Web is densely linked, the information itself is not generally related in a meaningful way. As Doerr and Iorizzo point out, "current search engines will never be enough because they fail to provide epistemological and historical context of a question which gives results meaning. [T]hey are designed as a tool for information aggregation [,] not knowledge integration." We can distinguish ontologies as: core ontologies for schema semantics, such as "part of," "located at," "used for," and "made from" (these are small and rich); ontologies that are used as categorical data for reference and agreement on ensembles of things, such as "football shoe," "physician," and "African elephant"; and factual background knowledge for reference and agreement. The International Committee for Documentation (CIDOC) conceptual reference model (CRM) (ISO21127:2006 standard) is a core ontology?of just 80 classes and 132 properties?that describes the underlying semantics of schemata and structures from all museum disciplines, archives, and libraries. It has been developed by the CIDOC CRM special interest group of the International Council of Museums (ICOM), following an initiative of the Institute of Computer Science of the Foundation for Research and Technology-Hellas (ICS-FORTH). In essence, the CIDOC CRM is a generic model of recording "what has happened." It can generate huge, meaningful networks of knowledge. It possesses a quality that points to its fundamental nature: minimal or no specialization allows for covering new domains. This fine paper will not only be helpful to people who wish to understand the CIDOC CRM, but also to information technology professionals who build knowledge management systems (KMSs) or document management systems (DMSs), as well as to all of us who aspire to build an Internet of knowledge and not only of data, a vehicle for understanding and not only for commerce. Online Computing Reviews Service

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                      cover image Journal on Computing and Cultural Heritage
                      Journal on Computing and Cultural Heritage   Volume 1, Issue 1
                      June 2008
                      124 pages
                      ISSN:1556-4673
                      EISSN:1556-4711
                      DOI:10.1145/1367080
                      Issue’s Table of Contents

                      Copyright © 2008 ACM

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                      Publication History

                      • Published: 18 June 2008
                      • Accepted: 1 November 2007
                      • Revised: 1 May 2007
                      • Received: 1 December 2006
                      Published in jocch Volume 1, Issue 1

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