Asymmetric and Context-Dependent Semantic Similarity among Ontology Instances Export

@incollection{citeulike:3740533, abstract = {In this paper we propose an asymmetric semantic similarity among instances within an ontology. We aim to define a measurement of semantic similarity that exploit as much as possible the knowledge stored in the ontology taking into account different hints hidden in the ontology definition. The proposed similarity measurement considers different existing similarities, which we have combined and extended. Moreover, the similarity assessment is explicitly parameterised according to the criteria induced by the context. The parameterisation aims to assist the user in the decision making pertaining to similarity evaluation, as the criteria can be refined according to user needs. Experiments and an evaluation of the similarity assessment are presented showing the efficiency of the method.}, author = {Albertoni, Riccardo and De Martino, Monica}, citeulike-article-id = {3740533}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-540-77688-8_1}, citeulike-linkout-1 = {http://www.springerlink.com/content/l8735357086x9h86}, doi = {10.1007/978-3-540-77688-8_1}, journal = {Journal on Data Semantics X}, keywords = {instances, semanticsimilarity}, pages = {1--30}, posted-at = {2008-12-03 14:11:53}, priority = {2}, title = {Asymmetric and Context-Dependent Semantic Similarity among Ontology Instances}, url = {http://dx.doi.org/10.1007/978-3-540-77688-8_1}, year = {2008} }

TY - CHAP ID - citeulike:3740533 L3 - citeulike-article-id:3740533 N2 - In this paper we propose an asymmetric semantic similarity among instances within an ontology. We aim to define a measurement of semantic similarity that exploit as much as possible the knowledge stored in the ontology taking into account different hints hidden in the ontology definition. The proposed similarity measurement considers different existing similarities, which we have combined and extended. Moreover, the similarity assessment is explicitly parameterised according to the criteria induced by the context. The parameterisation aims to assist the user in the decision making pertaining to similarity evaluation, as the criteria can be refined according to user needs. Experiments and an evaluation of the similarity assessment are presented showing the efficiency of the method. JF - Journal on Data Semantics X EP - 30 TI - Asymmetric and Context-Dependent Semantic Similarity among Ontology Instances SP - 1 KW - instances KW - semanticsimilarity AU - Albertoni, Riccardo AU - De Martino, Monica PY - 2008/// UR - http://dx.doi.org/10.1007/978-3-540-77688-8_1 ER -