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- item-2 hasContent antoine-isaac.
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- item-3 hasContent lourens-van-der-meij.
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- item-4 hasContent stefan-schlobach.
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- 473 creator fausto-giunchiglia.
- 473 creator fiona-mcneill.
- 473 creator mikalai-yatskevich.
- 473 type InProceedings.
- 473 label "Structure preserving semantic matching".
- 473 sameAs 473.
- 473 abstract "The most common matching applications, e.g., ontology matching, focus on the computation of the correspondences holding between the nodes of graph structures (e.g., concepts in two ontologies). However there are applications, such as matching of web service descriptions, where matching may need to compute the correspondences holding between the full graph structures and to preserve certain structural properties of the graphs being considered. The goal of this paper is to provide an implementation of a new matching operator, that we call structure preserving match. This operator takes two graph-like structures and produces a mapping between those nodes of the structures that correspond semantically to each other, (i) still preserving a set of structural properties of the graphs being matched, (ii) only in the case that the graphs globally correspond semantically to each other. We present an exact and an approximate structure matching algorithm. The latter is based on a formal theory of abstraction and builds upon the well known tree edit distance measures. We have implemented the algorithms and applied them to the web service matchmaking scenario. The evaluation results, though preliminary, show the efficiency and effectiveness of our approach.".
- 473 hasAuthorList authorList.
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- 473 title "Structure preserving semantic matching".
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- item-1 hasContent fausto-giunchiglia.
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- item-2 hasContent mikalai-yatskevich.
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- item-3 hasContent fiona-mcneill.
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- 1 creator christian-meilicke.
- 1 creator heiner-stuckenschmidt.
- 1 type InProceedings.
- 1 label "Incoherence as a basis for measuring the quality of ontology mappings".
- 1 sameAs 1.
- 1 abstract "Traditionally, the quality of ontology matching is measured using precisionand recall with respect to a reference mapping. These measures have atleast two major drawbacks. First, a mapping with acceptable precision and recallmight nevertheless suffer from internal logical problems that hinder a sensible useof the mapping. Second, in practical situations reference mappings are not available.To avoid these drawbacks we introduce quality measures that are based onthe notion of mapping incoherence that can be used without a reference mapping.We argue that these measures are a reasonable complement to the well-knownmeasures already used for mapping evaluation. In particular, we show that one ofthese measures provides a strict upper bound for the precision of a mapping.".
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- 1 title "Incoherence as a basis for measuring the quality of ontology mappings".
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- item-1 hasContent christian-meilicke.
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- item-2 hasContent heiner-stuckenschmidt.
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- 10 creator mansur-r-kabuka.
- 10 creator yves-r-jean-mary.
- 10 type InProceedings.
- 10 label "ASMOV: results for OAEI 2008".
- 10 sameAs 10.
- 10 abstract "The Automated Semantic Mapping of Ontologies with Validation (ASMOV) algorithm for ontology alignment was one of the top performing algorithms in the 2007 Ontology Alignment Evaluation Initiative (OAEI). In this paper, we present a brief overview of the algorithm and its improvements, followed by an analysis of its results on the 2008 OAEI tests.".
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- 10 title "ASMOV: results for OAEI 2008".
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- item-1 hasContent yves-r-jean-mary.
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- item-2 hasContent mansur-r-kabuka.
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- 11 creator eduardo-mena.
- 11 creator jorge-gracia.
- 11 type InProceedings.
- 11 label "Ontology matching with CIDER: evaluation report for the OAEI 2008".
- 11 sameAs 11.
- 11 abstract "Ontology matching, the task of determining relations thathold 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 evaluationthat comes in a yearly event. We present here our participation in the2008 initiative.Our schema-based alignment algorithm compares each pair of ontologyterms by, firstly, extracting their ontological contexts up to a certaindepth (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 goodbehaviour in terms of precision, while preserving an acceptable recall.Based on our experience, we have also included some remarks about thenature of benchmark test cases that, in our opinion, could help improvingthe OAEI tests in the future.".
- 11 hasAuthorList authorList.
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- 11 title "Ontology matching with CIDER: evaluation report for the OAEI 2008".
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- item-1 hasContent jorge-gracia.
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- item-2 hasContent eduardo-mena.
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- 12 creator enrico-motta.
- 12 creator maria-vargas-vera.
- 12 creator miklos-nagy.