Metadata for search engines: what can be learned from e-sciences
| Autor: | Magali Roux |
|---|---|
| Přispěvatelé: | Agents Cognitifs et Apprentissage Symbolique Automatique (ACASA), Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
0303 health sciences
Focal point Information retrieval Exploit Point (typography) Process (engineering) Computer science Interpretation (philosophy) Context (language use) 02 engineering and technology Metadata 03 medical and health sciences Search engine 020204 information systems 0202 electrical engineering electronic engineering information engineering [INFO]Computer Science [cs] 030304 developmental biology |
| Zdroj: | Next Generation Search Engines: Advanced Models for Information Retrieval Next Generation Search Engines: Advanced Models for Information Retrieval, IGI Global, pp.47-77, 2012, ⟨10.4018/978-1-4666-0330-1.ch003⟩ |
| DOI: | 10.4018/978-1-4666-0330-1.ch003⟩ |
| Popis: | International audience; E-sciences are data-intensive sciences that make a large use of the Web to share, collect, and process data. In this context, primary scientific data is becoming a new challenging issue as data must be extensively described (1) to account for empiric conditions and results that allow interpretation and/or analyses and (2) to be understandable by computers used for data storage and information retrieval. With this respect, metadata is a focal point whatever it is considered from the point of view of the user to visualize and exploit data as well as this of the search tools to find and retrieve information. Numerous disciplines are concerned with the issues of describing complex observations and addressing pertinent knowledge. In this paper, similarities and differences in data description and exploration strategies among disciplines in e-sciences are examined. |
| Databáze: | OpenAIRE |
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