Full Text Searching and Information Overload.
Fuente:
ERIC Institute of Education Sciences
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Recurso educativo Open Access |
| Lenguaje: | en |
| Publicado: |
1998
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1867181507085336576 |
|---|---|
| author | Olsen, Kai A. Sochats, Kenneth M. Williams, James G. |
| author_facet | Olsen, Kai A. Sochats, Kenneth M. Williams, James G. Olsen, Kai A. Sochats, Kenneth M. Williams, James G. |
| collection | Education Resources Information Center |
| contents | Full Text Searching and Information Overload. Olsen, Kai A. Sochats, Kenneth M. Williams, James G. Classification Full Text Databases Information Retrieval Relevance (Information Retrieval) Semantics Users (Information) Classifies information-retrieval applications into three groups depending on the correspondence between a user's request and the queries posed to the document base. Argues that the mapping of requests, on a semantic level, to formalized queries, on a lexical level, determines the range of retrieval effectiveness. (Author/LRW) |
| format | Recurso educativo Open Access |
| id | eric_EJ582235 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 1998 |
| record_format | eric |
| spellingShingle | Full Text Searching and Information Overload. Olsen, Kai A. Sochats, Kenneth M. Williams, James G. Classification Full Text Databases Information Retrieval Relevance (Information Retrieval) Semantics Users (Information) Full Text Searching and Information Overload. Olsen, Kai A. Sochats, Kenneth M. Williams, James G. Classification Full Text Databases Information Retrieval Relevance (Information Retrieval) Semantics Users (Information) Classifies information-retrieval applications into three groups depending on the correspondence between a user's request and the queries posed to the document base. Argues that the mapping of requests, on a semantic level, to formalized queries, on a lexical level, determines the range of retrieval effectiveness. (Author/LRW) |
| title | Full Text Searching and Information Overload. |
| topic | Classification Full Text Databases Information Retrieval Relevance (Information Retrieval) Semantics Users (Information) |
| url | https://eric.ed.gov/?id=EJ582235 |