Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/iswc2009/paper/research/206> ?p ?o. }
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- 206 creator feng-shi.
- 206 creator guotong-xie.
- 206 creator hanyu-li.
- 206 creator jie-tang.
- 206 creator juanzi-li.
- 206 type InProceedings.
- 206 label "Actively Learning Ontology Matching via User Interaction".
- 206 sameAs 206.
- 206 abstract "Ontology matching plays a key role for semantic interoperability. Many methods have been proposed for automatically finding the alignment between heterogeneous ontologies. However, in many real-world applications, finding the alignment in a completely automatic way is highly infeasible. Ideally, an ontology matching system would have an interactive interface to allow users to provide feedbacks to guide the automatic algorithm. Fundamentally, we need answer the following questions: how can a system perform an efficiently interactive process with the user? How many interactions are sufficient for finding a more accurate matching? To address these questions, we propose an active learning framework for ontology matching, which tries to find the most informative candidate matches to query the user. The users feedbacks are used to: 1) correct the mistake matching and 2) propagate the supervise information to help the entire matching process. Three measures are proposed to estimate the confidence of each matching candidate. A correct propagation algorithm is further proposed to maximize the spread of the users guidance. Experimental results on several public data sets show that the proposed approach can significantly improve the matching accuracy (+8.0% better than the baseline methods).".
- 206 hasAuthorList authorList.
- 206 hasTopic Semantic_Web.
- 206 isPartOf proceedings.
- 206 title "Actively Learning Ontology Matching via User Interaction".