In this work, we present an account of our recent results on applications of rough mereology to problems of 1) knowledge granulation;2) granular preprocessing in knowledge discovery by means of decision rules;3) spati...In this work, we present an account of our recent results on applications of rough mereology to problems of 1) knowledge granulation;2) granular preprocessing in knowledge discovery by means of decision rules;3) spatial reasoning in multi-agent systems in exemplary case of intelligent mobile robotics.展开更多
This paper first analyzes the reason that agricultural geographic information gives rise to semantic heterogeneity and solution thereof. Although OWL （web ontology language） is the standard of ontology representatio...This paper first analyzes the reason that agricultural geographic information gives rise to semantic heterogeneity and solution thereof. Although OWL （web ontology language） is the standard of ontology representation language in semantic web, it is insufficient in representing spatial characteristics, especially spatial relationship. Consequently it is pointed out to build geo-ontology by virtue of three theories such as mereology, location theory and topology in this paper. This paper introduces mereology, location theory and topology, and then discusses how to adopt these three theories to build geo-ontology. The outcome of experiment shows that solution put forward by this paper is feasible.展开更多
文摘In this work, we present an account of our recent results on applications of rough mereology to problems of 1) knowledge granulation;2) granular preprocessing in knowledge discovery by means of decision rules;3) spatial reasoning in multi-agent systems in exemplary case of intelligent mobile robotics.
基金supported by the National Basic Research Program of China (2010CB950603)the Science and Technology Research Project of Hubei Provincial Department of Education,China (Q20112905)+1 种基金the Key Science Research Project of Huanggang Normal University,China(2011CA070)the Doctoral Foundation Project of Huanggang Normal University,China (09cd151)
文摘This paper first analyzes the reason that agricultural geographic information gives rise to semantic heterogeneity and solution thereof. Although OWL （web ontology language） is the standard of ontology representation language in semantic web, it is insufficient in representing spatial characteristics, especially spatial relationship. Consequently it is pointed out to build geo-ontology by virtue of three theories such as mereology, location theory and topology in this paper. This paper introduces mereology, location theory and topology, and then discusses how to adopt these three theories to build geo-ontology. The outcome of experiment shows that solution put forward by this paper is feasible.
