Cases on Semantic Interoperability for Information Systems by Yannis Kalfoglou

By Yannis Kalfoglou

Semantic interoperability presents the capability to immediately technique and combine quite a lot of info with no human intervention. instances on Semantic Interoperability for info structures Integration: Practices and functions presents an in-depth research of concerns concerned with the appliance of semantic interoperability to info assimilation projects by means of box execs. this crucial selection of learn explains in-depth matters concerned the mixing of huge quantities of heterogeneous info and issues to deficiencies of present platforms.

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Since biologists often need to access information for which they are not necessarily specialist, it can sometimes be difficult to find out whether a particular record in a database actually describes the same entity as another record in another database. To integrate data, records (and therefore identifiers) that refer to the same object need to be matched together. e. the semantic data integration. case description The OKKAM project by design chose to provide an enabling technology for data integration, and therefore to focus on the syntactic data integration.

Almost every day SAP employees share best practices, ideas and hand-on experience in unstructured form. 0 improves performance, shape work, and improve collaboration but it causes that more and more of a company’s hand-on know-how becomes unstructured. com and blogs/articles of individual developers. Moreover there are even more data sources talking about SAP Solutions. As a consequence, there is a huge business potential for SAP to exploit the knowledge read- ily available in such unstructured sources in order to provide better and faster services to the SAP community.

In case of ambiguous entities, the system will propose several candidates and the user has the possibility to select the interpretation that fits the best (see Figure 6). This feature is realized by using the matching capabilities of the ENS. com. User can disambiguate “RFC”, in such case the user feedback is captured by the system and it is used to train the algorithms and influence further results. 15 Entity-Centric Semantic Interoperability Figure 6. Multiple Candidates for the ambiguous “RFC” term Additionally, the candidates have associated an OKKAM-ID, pointing to descriptions of entities from various OKKAMized Web resources such as Wikipedia.

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