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Towards automated knowledge-based mapping between individual conceptualisations to empower personalisation of Geospatial Semantic Web

Towards automated knowledge-based mapping between individual conceptualisations to empower personalisation of Geospatial Semantic Web
Towards automated knowledge-based mapping between individual conceptualisations to empower personalisation of Geospatial Semantic Web
Geospatial domain is characterised by vagueness, especially in the semantic disambiguation of the concepts in the domain, which makes defining universally accepted geo- ontology an onerous task. This is compounded by the lack of appropriate methods and techniques where the individual semantic conceptualisations can be captured and compared to each other. With multiple user conceptualisations, efforts towards a reliable Geospatial Semantic Web, therefore, require personalisation where user diversity can be incorporated. The work presented in this paper is part of our ongoing research on applying commonsense reasoning to elicit and maintain models that represent users' conceptualisations. Such user models will enable taking into account the users' perspective of the real world and will empower personalisation algorithms for the Semantic Web. Intelligent information processing over the Semantic Web can be achieved if different conceptualisations can be integrated in a semantic environment and mismatches between different conceptualisations can be outlined. In this paper, a formal approach for detecting mismatches between a user's and an expert's conceptual model is outlined. The formalisation is used as the basis to develop algorithms to compare models defined in OWL. The algorithms are illustrated in a geographical domain using concepts from the SPACE ontology developed as part of the SWEET suite of ontologies for the Semantic Web by NASA, and are evaluated by comparing test cases of possible user misconceptions.
Semantic Web, Geospatial, Ontologies, User, Personalisation
Agarwal, Pragya
ed1ccb96-0ce4-494f-b1b4-5dd0a453a1c7
Huang, Yongjian
4efd1318-e403-4345-adf7-63129906fb8e
Dimitrova, Vania
dcabb245-33f0-42a6-9b53-f63082e36580
Agarwal, Pragya
ed1ccb96-0ce4-494f-b1b4-5dd0a453a1c7
Huang, Yongjian
4efd1318-e403-4345-adf7-63129906fb8e
Dimitrova, Vania
dcabb245-33f0-42a6-9b53-f63082e36580

Agarwal, Pragya, Huang, Yongjian and Dimitrova, Vania (2005) Towards automated knowledge-based mapping between individual conceptualisations to empower personalisation of Geospatial Semantic Web. First International Conference on Geospatial Semantics, Mexico. 29 - 30 Nov 2005.

Record type: Conference or Workshop Item (Paper)

Abstract

Geospatial domain is characterised by vagueness, especially in the semantic disambiguation of the concepts in the domain, which makes defining universally accepted geo- ontology an onerous task. This is compounded by the lack of appropriate methods and techniques where the individual semantic conceptualisations can be captured and compared to each other. With multiple user conceptualisations, efforts towards a reliable Geospatial Semantic Web, therefore, require personalisation where user diversity can be incorporated. The work presented in this paper is part of our ongoing research on applying commonsense reasoning to elicit and maintain models that represent users' conceptualisations. Such user models will enable taking into account the users' perspective of the real world and will empower personalisation algorithms for the Semantic Web. Intelligent information processing over the Semantic Web can be achieved if different conceptualisations can be integrated in a semantic environment and mismatches between different conceptualisations can be outlined. In this paper, a formal approach for detecting mismatches between a user's and an expert's conceptual model is outlined. The formalisation is used as the basis to develop algorithms to compare models defined in OWL. The algorithms are illustrated in a geographical domain using concepts from the SPACE ontology developed as part of the SWEET suite of ontologies for the Semantic Web by NASA, and are evaluated by comparing test cases of possible user misconceptions.

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More information

Published date: 2005
Additional Information: Event Dates: November 29-30, 2005
Venue - Dates: First International Conference on Geospatial Semantics, Mexico, 2005-11-29 - 2005-11-30
Keywords: Semantic Web, Geospatial, Ontologies, User, Personalisation
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 261318
URI: http://eprints.soton.ac.uk/id/eprint/261318
PURE UUID: ddd864dc-860e-4150-b5e8-3f94a7848db8

Catalogue record

Date deposited: 14 Oct 2005
Last modified: 18 Jul 2017 09:03

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Contributors

Author: Pragya Agarwal
Author: Yongjian Huang
Author: Vania Dimitrova

University divisions

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