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020 _a9783540707356
_9978-3-540-70735-6
024 7 _a10.1007/3-540-70735-2
_2doi
050 4 _aQA76.9.D3
072 7 _aUN
_2bicssc
072 7 _aCOM021000
_2bisacsh
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082 0 4 _a005.74
_223
100 1 _aUrsino, Domenico.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aExtraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources
_h[electronic resource] :
_bSemi-Automatic Approaches and Tools /
_cby Domenico Ursino.
250 _a1st ed. 2002.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2002.
300 _aXXVI, 292 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v2282
505 0 _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.
520 _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.
650 0 _aDatabase management.
650 0 _aArtificial intelligence.
650 0 _aInformation storage and retrieval systems.
650 1 4 _aDatabase Management.
650 2 4 _aArtificial Intelligence.
650 2 4 _aInformation Storage and Retrieval.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540433477
776 0 8 _iPrinted edition:
_z9783662169261
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v2282
856 4 0 _uhttps://doi.org/10.1007/3-540-70735-2
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912 _aZDB-2-SXCS
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