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Interactive ontology matching

Finally, we still must explore new questions in interactive ontology matching, such as how to match the expertise of the user with particular areas of the ontology, where the best location to begin a matching process is, and how to best locate candidate-heavy areas of two ontologies. [Pg.48]

These are just a few of the visual and interactive tools available for ontology matching. In the next section, we discuss similar tools that have been developed to support the related problem of schema matching. [Pg.38]

Each of these tools uses similar visual interaction techniques as the ontology matching tools that we discussed in Sect. 3. However, there is more focus on data translation rule construction than with the ontology-related tools. In the next section, we discuss a different interaction approach, one based on creating matchings by harnessing the power of a community of users. [Pg.42]

Table 2.1 provides a high-level comparison between the surveyed tools. However, more details of comparison and evaluation are needed. In the next section, we discuss this need more deeply as well as other challenges facing the area of interactive techniques for ontology matching. [Pg.45]

Falconer SM, Noy N (2011) Interactive techniques to support ontology matching. In Bellah-sene Z, Bonifati A, Rahm E (eds) Schema matching and mapping. Data-Centric Systems and Applications. Springer, Heidelberg... [Pg.247]

AlViz Tree-based representation of ontologies. Small world graphs representation of matchings. Interaction synchronized with Protege class browser. Color is used to represent the types of correspondences (e.g., equal, similar, broader than). The cluster display can be filtered by selecting particular entities in the source No pluggable architecture FOAM algorithm... [Pg.46]


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See also in sourсe #XX -- [ Pg.31 ]




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