Download Ontology Alignment - Bridging the Semantic Gap by Marc Ehrig PDF

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By Marc Ehrig

This publication introduces novel tools and ways for semantic integration. as well as constructing ground-breaking new tools for ontology alignment, the writer presents wide reasons of up to date case experiences. It features a thorough research of the rules and gives tips to destiny steps in ontology alignment with end linking this paintings to the data society.

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A human helps to ensure the quality. Time is not a critical factor in the first place, but as evolution occurs to already existing ontologies, these might already have big amounts of data that then would have to be checked for alignments as well. This last statement implies a fast ontology alignment approach after all. Experiences in the database field have shown that despite existing evolution strategies the change information is often lost. A frequent request is therefore to detect the links between different versions in schemas.

Small variations such as different cases or typing errors still lead to a high similarity. , Stoilos et al. (2005). Often it will also be necessary to use bag-of-words approaches when the label does not only contain one word but a whole description. Chaves (2003) for instance uses stemming (Porter, 1980) and the sequence of words instead of characters to determine the similarity. , subsets of integer or double) it is advisable to dispose of a similarity measure that assigns the similarity between two numerical values based on their arithmetical difference (Bergmann, 2002).

Ontology Layer: For the second layer, the ontology layer, we consider semantic relations between the entities. In fact, one may split this layer again along the semantic complexity, which is derived from the layer cake of Berners-Lee (2000). On the lowest level, we just treat the ontology as a graph with concepts and relations. These Semantic Nets were introduced by Quillan (1967). , a taxonomy is created over concepts, in which a concept inherits all the relations of its superconcepts. For example, if certain edges are interpreted as a subsumption hierarchy, it is possible to determine the taxonomic similarity based on the number of is-a edges separating two concepts.

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