| Autor: |
Michalowski, Martin1 martinm@isi.edu, Ambite, José Luis1 ambite@isi.edu, Thakkar, Snehal1 knoblock@isi.edu, Tuchinda, Rattapoom1 minton@fetch.com, Knoblock, Craig A.1 thakkar@isi.edu, Minton, Steve1 pipet@isi.edu |
| Předmět: |
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| Zdroj: |
IEEE Intelligent Systems. May/Jun2004, Vol. 19 Issue 3, p72-79. 8p. 10 Black and White Photographs, 6 Diagrams. |
| Abstrakt: |
The Semantic Web promises seamless integration of heterogeneous data from distributed sources, letting agents such as human users or automated programs to perform sophisticated and detailed analyses of this data. Building Finder is a running application that showcases an approach to meeting these challenges. The application integrates satellite imagery, geospatial data and structured and semistructured data from various online data sources using Semantic Web technologies. The application's use of the RDF and RDF Data Query Language makes it usable by computer agents as well as human users. |
| Databáze: |
Library, Information Science & Technology Abstracts |
| Externí odkaz: |
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