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 language | English |
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| Title of host publication | Multi-disciplinary Trends in Artificial Intelligence |
| Subtitle of host publication | 8th International Workshop, MIWAI 2014, Bangalore, India, December 8-10, 2014, Proceedings |
| Editors | M. Narasimha Murty, Xiangjian He, Raghavendra Rao Chillarige, Paul Weng |
| Publisher | Springer, Cham |
| Pages | 208-219 |
| Number of pages | 12 |
| Volume | 8875 |
| Edition | 1st |
| ISBN (Electronic) | 9783319133652 |
| ISBN (Print) | 9783319133645 |
| DOIs | |
| Publication status | Published - 6 Nov 2014 |
| Event | 8th International Workshop on Multi-Disciplinary Trends in Artificial Intelligence - Bangalore, India Duration: 8 Dec 2014 → 10 Dec 2014 Conference number: 8 |
Publication series
| Name | Lecture Notes in Computer Science |
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| Publisher | Springer Verlag |
| Volume | 8875 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 8th International Workshop on Multi-Disciplinary Trends in Artificial Intelligence |
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| Abbreviated title | MIWAI 2014 |
| Country/Territory | India |
| City | Bangalore |
| Period | 8/12/14 → 10/12/14 |