HEAL DSpace

A tool for mapping discovery over revealing schemas

Αποθετήριο DSpace/Manakin

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dc.contributor.author Kantere, V en
dc.contributor.author Bousounis, D en
dc.contributor.author Sellis, T en
dc.date.accessioned 2014-03-01T02:51:56Z
dc.date.available 2014-03-01T02:51:56Z
dc.date.issued 2009 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/35756
dc.subject.other Application scenario en
dc.subject.other Best choice en
dc.subject.other Data format en
dc.subject.other Data integration en
dc.subject.other Decentralized coordination en
dc.subject.other Information sharing en
dc.subject.other Mapping process en
dc.subject.other Prototype tools en
dc.subject.other Schema mappings en
dc.subject.other Schema matching en
dc.subject.other Schemas en
dc.subject.other Shared data en
dc.subject.other Data handling en
dc.subject.other Data structures en
dc.subject.other Database systems en
dc.subject.other Semantics en
dc.subject.other Mapping en
dc.title A tool for mapping discovery over revealing schemas en
heal.type conferenceItem en
heal.identifier.primary 10.1145/1516360.1516493 en
heal.identifier.secondary http://dx.doi.org/10.1145/1516360.1516493 en
heal.publicationDate 2009 en
heal.abstract In a world of wide-scale information sharing, the decentralized coordination has to consolidate a variety of heterogeneity. Shared data are described in different formats, i.e. data structures, values and schemas. Querying manifold such sources entails techniques that can bridge the data formats. Some of these techniques deal with producing mappings for the schemas of data. The existing techniques view complementary aspects of the schema mapping problem. Important ones, consider producing all the possible mappings for a pair of schemas, insinuating any accompanying semantics in the mappings and adapting correct mappings as schemas evolve. Towards this end we have developed a solution that is fine-tuned for the discovery of mappings as schemas of autonomous sources are gradually revealed. In this demonstration we exhibit a new prototype tool that implements this solution. The tool provides a mechanism that realizes discovery of correct mappings as schemas are revealed. Mapping discovery is schema-centric and incorporates new semantics as they are unveiled. Mapping experience is reused and possible mappings are ranked so that the best choice is presented. The core mechanism collaborates with an automatic schema matching tool and the user that lightly guides the mapping process. The demonstration presents two application scenarios that prove the suitability of this prototype tool and the effectiveness of the implemented mapping solution in realistic situations of of data integration and exchange between heterogeneous autonomous sources. Copyright 2009 ACM. en
heal.journalName Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology, EDBT'09 en
dc.identifier.doi 10.1145/1516360.1516493 en
dc.identifier.spage 1124 en
dc.identifier.epage 1127 en


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