Change search
ReferencesLink to record
Permanent link

Direct link
Vague relations in spatial databases
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2010 (English)In: Natural language processing and information systems: 15th international conference on applications of natural language to information systems, NLDB 2010 / [ed] Christina J. Hopfe, Yacine Rezgui, Elisabeth Métais, Alun Preece and Haijiang Li, 2010, 177-187 p.Conference paper (Refereed)
Abstract [en]

While qualitative relatins (e.g RCC8 relations) can readily be derived from spatial databases, a more difficult matter is the representation of vague spatial realtions such as "near-to", "next-to", "between", etc. After surveying earlier approaches, this paper propose a method that is tractable, learnable and directly suitable for use in natural language interfaces to spatial databases. The approach is based on definite logic programs with contexts represented as first class objects and supervaluation over a set of threshold parameters, a polynomial-time algorithm finds a setting of threshold parameters that are consistent with a training corpus of vague descriptions of scenes. The results of this algorithm may then be compiled into view definitions which are accessed in real-time by natural language interfaces employing normal, non-exotic query answering mechanisms.

Place, publisher, year, edition, pages
2010. 177-187 p.
, Lecture notes in computer science, ISSN 0302-9743 ; 6177
National Category
Computer Science
URN: urn:nbn:se:umu:diva-35146DOI: 10.1007/978-3-642-13881-2OAI: diva2:331783
NLDB - International conference on applications of natural language to information systems
Available from: 2010-07-26 Created: 2010-07-26 Last updated: 2010-08-20Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Minock, Michael
By organisation
Department of Computing Science
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 30 hits
ReferencesLink to record
Permanent link

Direct link