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UOA 23 - Computer Science and Informatics

Cardiff University

RA1, RA2 and RA5c: Staff and output details and Category C staff circumstances

 

Abdelmoty, A - Category : A

Research Groups:

3 - Knowledge and Information Systems

RA2 - Research outputs:

Number of outputs: 4

Output number: 1 of 4

Title

A Critical Evaluation of Ontology Languages for Geographic Information Retrieval on the Internet

Output type: Journal article
Journal title: Journal of Visual Languages & Computing
Month/year of publication: August 2005
Pagination: 331-358
Volume: 16 (4)
ISSN: 1045-926X
DOI: 10.1016/j.jvlc.2004.11.001 ?
Research group: 3 - Knowledge and Information Systems
Co-authors: Fu, G., Jones, C.B., Smart, P.D.
Number of additional co-authors: 1
Other relevant details: Geospatial ontologies play a key role in the emerging geospatial semantic web for information retrieval and data integration. Criteria are presented for evaluating geo-ontologies for purposes of representation and maintenance. These are applied to the ontology language OWL and to the geographic markup language GML. OWL is found superior for supporting reasoning for integrity maintenance. The need for extensions is identified in the cases of (i) large geospatial ontologies; and (ii) for the development of rule markup languages enabling the expression of complex geospatial semantics. These findings are currently the subject of research and standardisation in W3C semantic web activity.

Output number: 2 of 4

Title

A Filter Flow Visual Querying Language and Interface for Spatial Databases

Output type: Journal article
Journal title: GeoInformatica
Month/year of publication: June 2004
Pagination: 107-141
Volume: 8 (2)
ISSN: 1384-6175
DOI: 10.1023/B:GEIN.0000017744.85002.4c ?
Research group: 3 - Knowledge and Information Systems
Co-authors: El-Geresy, B.A., Jones, C.B., Morris, A.J.
Other relevant details: A new visual query language is proposed for use in large spatial database systems. The language addresses the complexities associated with querying large spatial data sets using a filter-flow metaphor that offers a uniform solution for expression of simple and composite spatial queries. In contrast with previous approaches, the language is significant as it provides an interface for non-expert users to manipulate different types of spatial objects, relationships and operators, including complex spatial joins, that was only partly possible in other proposals. The full process of language development is documented including the results of detailed usability tests.

Output number: 3 of 4

Title

Towards a General Theory for Modelling Qualitative Space

Output type: Journal article
Journal title: International Journal on Artificial Intelligence Tools
Month/year of publication: September 2002
Pagination: 347-367
Volume: 11 (3)
ISSN: 02182130
DOI: 10.1142/S0218213002000939 ?
Research group: 3 - Knowledge and Information Systems
Co-authors: El-Geresy, B.A.
Other relevant details: The quest for general theories of reasoning in space is challenging due to the complexity and randomness of spatial structures. A primary unsolved issue is finding automatic means for identifying sound spatial relationships. This paper presents and evaluates a new mathematical method to address this issue. A complete set of sound topological relations in space is derived. The method paves the way for the practical implementation and use of the results of ongoing qualitative spatial reasoning research. This extends a best paper from International Conference on Tools with Artificial Intelligence 2001, 'Towards a General Theory for Qualitative Space' (ISBN 0-7695-1417-0).

Output number: 4 of 4

Title

SPARQS: a Qualitative Spatial Reasoning Engine

Output type: Journal article
Journal title: Knowledge-Based Systems
Month/year of publication: May 2004
Pagination: 89-102
Volume: 17 (2-4)
ISSN: 09507051
DOI: 10.1016/j.knosys.2004.03.004 ?
Research group: 3 - Knowledge and Information Systems
Co-authors: El-Geresy, B.A.
Other relevant details: The paper presents the design and implementation of the first (and, as far as the authors know, still unique) spatial reasoning engine that is capable of automatically computing the composition of spatial relationships between objects in space. The engine implements the general theory of spatial representation and reasoning presented in Abdelmoty3. It is significant in demonstrating the applicability of qualitative reasoning theories that have up until now been confined to theory. This extends a best paper from International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2003), ‘SPARQS: Automatic Reasoning in Qualitative Space’ (ISBN 1-85233-780-X).