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Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources - Domenico Ursino

Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources

Semi-Automatic Approaches and Tools

(Autor)

Buch | Softcover
XXVI, 292 Seiten
2002
Springer Berlin (Verlag)
978-3-540-43347-7 (ISBN)
CHF 74,85 inkl. MwSt
The 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.

Property 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.

Erscheint lt. Verlag 6.3.2002
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XXVI, 292 p.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 499 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Software Entwicklung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte algorithms • Computer Science • Control • Cooperative Information Systems • Database • Database Integration • data engineering • data integration • Data Mining • Data Warehouse • Data Warehousing • Datenbank; Programmierung/Entwicklung • Decentralized Information Systems • Distributed Databases • Hardcover, Softcover / Informatik, EDV/Informatik • HC/Informatik, EDV/Informatik • Heterogeneous Information Systems • information extraction • Information Retrieval • Informationssystem • information system • Information Systems Integration • Knowledge • Knowledge Discovery • Knowledge Representation • learning • System
ISBN-10 3-540-43347-3 / 3540433473
ISBN-13 978-3-540-43347-7 / 9783540433477
Zustand Neuware
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