Integrated representation of spatial topological and size relations for the semantic web

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Representing topological information for the Semantic Web often involves qualitative defined natural language terms such as “In”. This can be the case when exact coordinates of spatial regions are not available or they are unreliable. Topological spatial relations are the most important aspect of spatial representation and reasoning. In addition to topology, often the exact size of regions is not known as well, but the relations between sizes (e.g., larger, equal) are known. In this work we propose and evaluate an integrated representation of topological relations (RCC-5 and RCC-8) and qualitative size relations using OWL object properties and axioms, combined with reasoning rules expressed using SWRL, embedded into the ontology. Different representations are implemented and evaluated.

Original languageEnglish
Title of host publicationMulti-disciplinary Trends in Artificial Intelligence
Subtitle of host publication8th International Workshop, MIWAI 2014, Bangalore, India, December 8-10, 2014, Proceedings
EditorsM. Narasimha Murty, Xiangjian He, Raghavendra Rao Chillarige, Paul Weng
PublisherSpringer, Cham
Pages208-219
Number of pages12
Volume8875
Edition1st
ISBN (Electronic)9783319133652
ISBN (Print)9783319133645
DOIs
Publication statusPublished - 6 Nov 2014
Event8th International Workshop on Multi-Disciplinary Trends in Artificial Intelligence - Bangalore, India
Duration: 8 Dec 201410 Dec 2014
Conference number: 8

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
Volume8875
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Workshop on Multi-Disciplinary Trends in Artificial Intelligence
Abbreviated titleMIWAI 2014
Country/TerritoryIndia
CityBangalore
Period8/12/1410/12/14

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