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Interacting with (semi-) automatically extracted context of digital objects

Published: 01 June 2009 Publication History

Abstract

The context in which digital objects are created, modified, or used is essential for the interpretation of information entities, for retrieval settings, for establishing their authenticity, as well as ensuring appropriate use. Therefore, determining this context of creation and use of digital objects is an essential task for many areas and applications, from (huge) digital library settings to end-user applications such as search. However, context is notoriously difficult and laboursome to establish and document, and when it has to be entered and maintained manually by the creator of the digital objects, it is often missing or partially incomplete or incorrect. Thus, this paper proposes an approach to (semi-) automatically determine the context of creation and usage of digital objects. Various facets of context along different dimensions are automatically detected, and are combined in pivot-table inspired views, at multiple levels of granularity, which then allow the extraction of the most appropriate connections to other digital objects. Finally, this contact can be used for a range of applications, such as search and navigation.

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Cited By

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  • (2015)The value and complexity of collection arrangement for evidentiary workJournal of the Association for Information Science and Technology10.1002/asi.2329566:9(1857-1882)Online publication date: 1-Sep-2015
  • (2013)Trust and context in cyberspaceArchives and Records10.1080/23257962.2013.82520734:2(214-234)Online publication date: 2-Oct-2013
  • (2011)Context-Sensitive Ontology Matching in Electronic BusinessElectronic Business Interoperability10.4018/978-1-60960-485-1.ch012(279-301)Online publication date: 2011

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cover image ACM Other conferences
CIAO '09: Proceedings of the 1st Workshop on Context, Information and Ontologies
June 2009
79 pages
ISBN:9781605585284
DOI:10.1145/1552262
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 01 June 2009

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Cited By

View all
  • (2015)The value and complexity of collection arrangement for evidentiary workJournal of the Association for Information Science and Technology10.1002/asi.2329566:9(1857-1882)Online publication date: 1-Sep-2015
  • (2013)Trust and context in cyberspaceArchives and Records10.1080/23257962.2013.82520734:2(214-234)Online publication date: 2-Oct-2013
  • (2011)Context-Sensitive Ontology Matching in Electronic BusinessElectronic Business Interoperability10.4018/978-1-60960-485-1.ch012(279-301)Online publication date: 2011

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