A. Rodrguez and M. Egenhofer. Determining Semantic Similarity Among Entity Classes from Different Ontologies. IEEE Transactions on Knowledge and Data Engineering, 15(2):442--456, 2003. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
The SWAP Data and Metadata Model for.. - Ehrig, Haase.. (2003) (6 citations) (Correct)
....One goal of the SWAP system is to have a single model. Through addition of resources and statements from other peers the same object might be present in the local repository, but under di#erent names. The system has to identify these two objects through similarity measures. In the approach of [7] three methods are presented, which we extend with a fourth one: Word Matching: By checking the labels one can determine if the objects are similar (e.g. by calculating the edit distance [8] Alternatively WordNet can be used to find synonyms. Feature Matching: If an entity has the same ....
Rodrguez, M.A., Egenhofer, M.J.: Determining semantic similarity among entity classes from di#erent ontologies. IEEE Transactions on Knowledge and Data Engineering 15 (2003) 442--465
A Metadata Model for Semantics-Based Peer-to-Peer Systems - Broekstra, Ehrig.. (2003) (5 citations) (Correct)
....knowledge representation. Through addition of resources and statements from other peers Just di#erences are shown the same object might be present in the local repository, but under di#erent names. The system has to identify these two objects through similarity measures. In the approach of [5] three ideas are presented. We extend these ideas with a fourth one: Word Matching: By checking the labels one can determine if the objects have the same name (edit distance [6] Alternatively WordNet is used to find synonyms. Feature Matching: If an entity has the same predicates and ....
....di#erent participants have created. Also, the idea of merging ontologies is not new. In [19] a semi automatic system called PROMPT is presented, which makes propositions the user has to confirm or defer. 20] shows a general approach for it. Matching and and especially similarity are treated in [5], covering di#erent dimensions of similarity in ontologies. 21] have another nice overview. In [22] a general schema matching algorithm is shown. With respect to accessing and integrating ontology based metadata, 23] presents methods to construct views for light weight ontologies. The ....
Rodrguez, M.A., Egenhofer, M.J.: Determining semantic similarity among entity classes from di#erent ontologies. IEEE Transactions on Knowledge and Data Engineering (2000)
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A. Rodrguez and M. Egenhofer. Determining Semantic Similarity Among Entity Classes from Different Ontologies. IEEE Transactions on Knowledge and Data Engineering, 15(2):442--456, 2003.
An Architecture for Sharing, Discovering and.. - Ververidis.. (2002) (Correct)
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A. Rodrguez and M. Egenhofer, "Determining Semantic Similarity Among Entity Classes from Different Ontologies," IEEE Transactions on Knowledge and Data Engineering (to appear).
Efficiency of Ontology Mapping Approaches - Ehrig, Staab (2004) (Correct)
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Rodrguez, M.A., Egenhofer, M.J.: Determining semantic similarity among entity classes from different ontologies. IEEE Transactions on Knowledge and Data Engineering (2000)
QOM - Quick Ontology Mapping - Ehrig, Staab (2 citations) (Correct)
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Rodrguez, M.A., Egenhofer, M.J.: Determining semantic similarity among entity classes from different ontologies. IEEE Transactions on Knowledge and Data Engineering (2000)
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M. Rodriguez, and M. Egenhofer, "Determining Semantic Similarity among Entity Classes from Different Ontologies", IEEE Transactions on Knowledge and Data Engineering, 15(2): 442-456. 2003.
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A. Rodrguez and M. Egenhofer. Determining Semantic Similarity Among Entity Classes from Di#erent Ontologies. IEEE Transactions on Knowledge and Data Engineering, 15(2):442--456, 2003.
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An Architecture for Sharing, Discovering and.. - Ververidis.. (Correct)
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A. Rodrguez and M. Egenhofer, "Determining Semantic Similarity Among Entity Classes from Different Ontologies," IEEE Transactions on Knowledge and Data Engineering (to appear).
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An Ontology Approach to Data Integration - Buccella, Cechich, Brisaboa (Correct)
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Rodriguez, A., Egenhofer, M. Determining Semantic Similarity among Entity Classes from Different Ontologies. IEEE Transactions on Knowledge and Data Engineering, vol. 15, no. 2, March/April 2003.
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M. A. Rodrguez and M. J. Egenhofer. Determining semantic similarity among entity classes from different ontologies. IEEE Transactions on Knowledge and Data Engineering, 15(2):442--456, Mar 2003.
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M.A. Rodriguez and M.J. Egenhofer, "Determining Semantic Similarity Among Entity Classes from Different Ontologies," IEEE Transactions on Knowledge and Data Engineering, in press.
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