LEADER 04700nam 22006495 450 001 9910143914303321 005 20200702124917.0 010 $a3-540-70735-2 024 7 $a10.1007/3-540-70735-2 035 $a(CKB)1000000000211683 035 $a(SSID)ssj0000323074 035 $a(PQKBManifestationID)11243215 035 $a(PQKBTitleCode)TC0000323074 035 $a(PQKBWorkID)10296591 035 $a(PQKB)11723979 035 $a(DE-He213)978-3-540-70735-6 035 $a(MiAaPQ)EBC3071657 035 $a(PPN)155209957 035 $a(EXLCZ)991000000000211683 100 $a20121227d2002 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aExtraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources $eSemi-Automatic Approaches and Tools /$fby Domenico Ursino 205 $a1st ed. 2002. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2002. 215 $a1 online resource (XXVI, 292 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v2282 300 $aOriginally presented as the author's thesis (Universita? degli Studi della Calabria). 311 $a3-540-43347-3 320 $aIncludes bibliographical references and index. 327 $aProperty Extraction -- Extraction of Synonymies, Homonymies, and Type Conflicts -- Extraction of Object Cluster Similarities -- Extraction of Hyponymies and Overlappings -- Extraction of Assertions between Knowledge Patterns -- Construction of a Cooperative Information System and of a Data Warehouse -- Construction of a Data Repository -- Construction of a Cooperative Information System -- Construction of a Data Warehouse -- System Description and Experimentations -- The System D.I.K.E. -- Experiments on the Derivation of Similarities and Type Conflicts -- Experiments on the Extraction of Hyponymies -- Experiments on the Extraction of Assertions between Knowledge Patterns -- Experiments on the Construction of a Data Repository -- Using the CIS Relative to ICGO Databases -- Final Issues -- A Look at the Future -- Conclusions. 330 $aThe problem of integrating multiple information sources into a uni?ed data store is currently one of the most important challenges in data management. Within the ?eld of source integration, the problem of automatically gen- ating an integrated description of the data sources is surely one of the most relevant. The signi?cance of the issue can be best understood if one c- siders the huge number of information sources that an organization has to integrate. Indeed, it is even impossible to try to do all the work by hand. Like other important issues in data management, the problem of integrating multiple data sources into a unique global system has several facets, each of which represents, ?per se?, an interesting research problem, and comprises, for instance, that of recognizing, at the intensional level, similarities and dissimilarities among scheme objects, that of resolving representation m- matches among schemes, and that of deciding how to obtain an integrated data store out of a set of input sources and of a semantic description of their contents. The research and application relevance of such issues has attracted wide interest in the database community in recent years. And, as a con- quence, several techniques have been presented in the literature attacking one side or another of this complex and multifarious problem. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v2282 606 $aDatabase management 606 $aArtificial intelligence 606 $aInformation storage and retrieval 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 615 0$aDatabase management. 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval. 615 14$aDatabase Management. 615 24$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 676 $a006.3/3 700 $aUrsino$b Domenico$4aut$4http://id.loc.gov/vocabulary/relators/aut$0555234 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910143914303321 996 $aExtraction and exploitation of intensional knowledge from heterogeneous information sources$9983406 997 $aUNINA