Efficient algorithms for finding maximum matching in graphs
ACM Computing Surveys (CSUR)
Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Word sense disambiguation for free-text indexing using a massive semantic network
CIKM '93 Proceedings of the second international conference on Information and knowledge management
A semantic network-based design methodology for XML documents
ACM Transactions on Information Systems (TOIS)
Understanding semantic relationships
The VLDB Journal — The International Journal on Very Large Data Bases
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Combining link and content analysis to estimate semantic similarity
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Semantic similarity between search engine queries using temporal correlation
WWW '05 Proceedings of the 14th international conference on World Wide Web
Algorithmic detection of semantic similarity
WWW '05 Proceedings of the 14th international conference on World Wide Web
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Query approximation by semantic similarity in GeoPQL
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
Relaxing constraints on GeoPQL operators to improve query answering
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
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This paper proposes a method for evaluating the semantic similarity of GML elements (concepts). Due to the relevance of the Is-in relationship in the geographic context, it focuses on GML elements organized according to Part-of (meronymic) hierarchies. It also proposes the method’s application to Part-of hierarchies, due to the semantics of the meronymic relationship within the geographic context, referred to as “place-area”. This semantics essentially concerns parts which are similar to and inseparable from the whole. A further contribution refers to the modeling of the Part-of hierarchy in GML. In particular, from the perspective of applying the information content approach to Part-of hierarchies, this paper proposes a method to represent and distinguish the concepts involved in the meronymic relationship within the element hierarchy.