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| Main Authors: | , |
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| Format: | Recurso educativo Open Access |
| Language: | en |
| Published: |
2001
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| Subjects: | |
| Online Access: | https://eric.ed.gov/?id=ED459813 |
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| _version_ | 1867181405368221697 |
|---|---|
| author | Rauber, Andreas Muller-Kogler, Alexander |
| author_facet | Rauber, Andreas Muller-Kogler, Alexander Rauber, Andreas Muller-Kogler, Alexander |
| collection | Education Resources Information Center |
| contents | Integrating Automatic Genre Analysis into Digital Libraries. Rauber, Andreas Muller-Kogler, Alexander Content Analysis Data Processing Electronic Libraries Information Retrieval Information Systems Library Services Online Searching Relevance (Information Retrieval) Visual Aids With the number and types of documents in digital library systems increasing, tools for automatically organizing and presenting the content have to be found. While many approaches focus on topic-based organization and structuring, hardly any system incorporates automatic structural analysis and representation. Yet, genre information (unconsciously) forms one of the most distinguishing features in conventional libraries and in information searches. This paper presents an approach to automatically analyze the structure of documents and to integrate this information into an automatically created content-based organization. In the resulting visualization, documents on similar topics, yet representing different genres, are depicted as books in differing colors. This representation supports users intuitively in locating relevant information presented in a relevant form. (Contains 22 references.) (Author/AEF) |
| format | Recurso educativo Open Access |
| id | eric_ED459813 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 2001 |
| record_format | eric |
| spellingShingle | Integrating Automatic Genre Analysis into Digital Libraries. Rauber, Andreas Muller-Kogler, Alexander Content Analysis Data Processing Electronic Libraries Information Retrieval Information Systems Library Services Online Searching Relevance (Information Retrieval) Visual Aids Integrating Automatic Genre Analysis into Digital Libraries. Rauber, Andreas Muller-Kogler, Alexander Content Analysis Data Processing Electronic Libraries Information Retrieval Information Systems Library Services Online Searching Relevance (Information Retrieval) Visual Aids With the number and types of documents in digital library systems increasing, tools for automatically organizing and presenting the content have to be found. While many approaches focus on topic-based organization and structuring, hardly any system incorporates automatic structural analysis and representation. Yet, genre information (unconsciously) forms one of the most distinguishing features in conventional libraries and in information searches. This paper presents an approach to automatically analyze the structure of documents and to integrate this information into an automatically created content-based organization. In the resulting visualization, documents on similar topics, yet representing different genres, are depicted as books in differing colors. This representation supports users intuitively in locating relevant information presented in a relevant form. (Contains 22 references.) (Author/AEF) |
| title | Integrating Automatic Genre Analysis into Digital Libraries. |
| topic | Content Analysis Data Processing Electronic Libraries Information Retrieval Information Systems Library Services Online Searching Relevance (Information Retrieval) Visual Aids |
| url | https://eric.ed.gov/?id=ED459813 |