Why ontology mapping

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Ehrig, M. Euzenat, J. In: Cruz, I. ISWC LNCS, vol. Felzenszwalb, P. Gasevic, D. Hovy, E. Ontology merging and integration is defined as building new ontology from multiple ontologies consisting of overlapped sub—ontologies 7 Figure 1. The rest of the manuscript is structured as follows: Section II describes an overview of studies, techniques and theories conducted in context of ontology mapping. Section III briefly analyzes some significant ontology mapping tools. Section IV concludes the study.

In search engine examples have been used to illustrate the concepts from different ontologies in order to demonstrate relationship among them.

It is followed by construction of concept lattice and mapping of lattice to distributed ontology. Lily 13 , 14 is one of ontology mapping system that constructs semantic graph between concepts and relations on basis of linguistic features and structure of ontology. ASMOV 14 is defined as an automated ontology mapping tool which computes similarity matching by analyzing textual and weighted features of different ontologies.

Euzenat 14 presented concept of virtual file technology to calculate similarity of concepts after analyzing linguistic features, terms and information stored in files. Various studies have been led by developers in 11 ,14—17 that describes matching criteria for integrating information from multiple data sources. Varied matching criteria have been applied in these works. Certain notable ones are:. Utilizing the above criteria the process of ontology mapping has been automated through different tools.

The next section highlights few notable ones. Mapping tools are used to identify and define essential semantic correspondences automatically. Chimaera: This tool is used for merging and diagnosis of web—based distributed ontologies. The figures below depict the results obtained.

The experiment was conducted only on PROMPT as it was understood that the automated procedure is same for most of the tools which differ in their internal design and ontology mapping and merging criteria. FCA—Merge: 20 It deals with 3 step procedure for merging two ontologies. GLUE: 23 It includes components— distribution estimator, similarity estimator and relaxation labeler Figure 5.

Ontology is abbreviated as FESC formal, explicit, shared and conceptualization of domain. The paper explores terminologies related to ontology like mapping, integration, aligning, translation and merging. Ontology merging and integration is defined as building new ontology from multiple ontologies consisting of overlapped sub ontologies.

Ontology mapping is termed as relating similar according to some metric concepts or relations from different sources to each other by specifying the correspondence between them.

Generally, process of mapping involves two tasks as stated below:. Ontology aligning makes source ontologies consistent and coherent by moving them together in cooperation. Ontology translation is defined as modifying the structure of ontology without changing its meaning while ontology transformation changes its structure as well as its meaning such that it is better than previous ontology with this manuscript we have attempted to give the reader an overview of the different ontology mapping and merging tools in a rather simplistic manner.

Mitra, P. In: Zaniolo, C. EDBT LNCS, vol. Noy, N. Quillan, M. Roddick, J. IEEE Trans. Rufai, R. Stumme, G. Su, X. Van Rijsbergen, C. Weinstein, P.