| Ontology matching with CIDER: Evaluation report for the OAEI 2008 (2008) | |||||||||||||||
Abstract | |||||||||||||||
| Abstract. Ontology matching, the task of determining relations that hold among terms of two different ontologies, is a key issue in the Semantic Web and other related fields. In order to compare the behaviour of different ontology matching systems, the Ontology Alignment Evaluation Initiative (OAEI) has established a periodical controlled evaluation that comes in a yearly event. We present here our participation in the 2008 initiative. Our schema-based alignment algorithm compares each pair of ontology terms by, firstly, extracting their ontological contexts up to a certain depth (enriched by using transitive entailment) and, secondly, combining different elementary ontology matching techniques (e.g., lexical distances and vector space modelling). Benchmark results show a very good behaviour in terms of precision, while preserving an acceptable recall. Based on our experience, we have also included some remarks about the nature of benchmark test cases that, in our opinion, could help improving the OAEI tests in the future. 1 Presentation of the system In [7] we presented a system that analyzes a keyword-based user query, in order to automatically extract and make explicit, without ambiguities, its semantics. Firstly, it discovers and extracts candidate senses (expressed as ontology terms) | |||||||||||||||
Publication details | |||||||||||||||
| |||||||||||||||