By Marc Ehrig

This e-book introduces novel tools and techniques for semantic integration. as well as constructing ground-breaking new equipment for ontology alignment, the writer offers wide factors of up to date case stories. It encompasses a thorough research of the principles and gives tips to destiny steps in ontology alignment with end linking this paintings to the information society.

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Extra resources for Ontology Alignment: Bridging the Semantic Gap (Semantic Web and Beyond)

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This can be formally laid down through the following definition. 8 (Ontology Similarity). A similarity function Sim : fp(E) X ^{E) x O x O ^ [0,1] is a function that maps a pair of entity sets (expressed through the power set ^(E) of entities) and their corresponding ontologies O to a real number expressing the similarity between two sets such that • • • • • • Ve,/ €^{E),0i,02 e 0,sim{e,f,0i,02) > 0 (positiveness) \/e,f,g G ^{E),0i,02 G 0,sim{e,e,0i,02) > sim{f^g) (maximality) Ve,/ e ^{E),0i,02 G 0,sim{e,f,0i,02) = sim{f,e,02,0i) (symmetry) Ve, / G ViE), Oi, O2 G O, sim{e, / , d , O2) = 1 <^ e = / ; Two entity sets are identical.

Unfortunately, the definitions from different authors are confusing, partially inconsistent, and at times even contradicting. The goal of this section is therefore to adhere to one definition for each term. Especially alignment, the second key term in the title of this work, will be explained. 1 Ontology Alignment Definition The dictionary (mer, 2006) again gives a general comprehensible sense for alignment. To align something means, "to bring into line". This very brief definition already emphasizes that aligning is an activity after which the involved objects are in some mutual relation.

These alignments are then stored. The actual applications will make use of the predefined alignments at a later step in time. Unfortunately, such a use case is only of limited value, as by keeping the actual application open, the alignment strategy cannot focus towards it and therefore only provide an average or default alignment. Defining fixed requirements is therefore relatively difficult. Automation level and quality are dependent of future use. Alignments should therefore be saved with additional metadata, such as the confidence level, that an alignment is correct.

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