Extraction and exploitation of intensional knowledge from heterogeneous information sources : semi-automatic approaches and tools
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 mos...
Shranjeno v:
| Glavni avtor: | |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Serija: | Lecture notes in computer science
2282 |
| Teme: | |
| Online dostop: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Extraction and exploitation of intensional knowledge from heterogeneous information sources, semi-automatic approaches and tools, Domenico Ursino, Berlin, Springer, 2002, 1 vol. (XXVI-289 p.), Lecture notes in computer science, 3-540-43347-3 • Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources, Texte imprimé, 9783662169261 |
Kazalo:
- 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.