Querying a hypertext information retrieval system by the use of classification
Identifieur interne : 003427 ( Main/Exploration ); précédent : 003426; suivant : 003428Querying a hypertext information retrieval system by the use of classification
Auteurs : M. Aboud [France] ; C. Chrisment [France] ; R. Razouk [France] ; F. Sedes [France] ; C. Soule-Dupuy [France]Source :
- Information Processing and Management [ 0306-4573 ] ; 1993.
English descriptors
- Teeft :
- Aboud, Abstract nodes, Class selection, Classification criteria, Classification criterion, Classification nodes, Classification processes, Computer science, Concrete node, Concrete nodes, Database, Descriptor, Different types, Doctoral dissertation, Document, Document content, Document descriptor, Document nodes, Entry points, Global hypergraph, Hypergraph, Hypertext, Hypertext information retrieval system, Indexing, Indexing links, Indexing term, Indexing terms, Information base, Information retrieval, Information retrieval systems, Language queries, Language query, Language research, Language retrieval, Links, List owner, Multimedia documents, Node, Particular organization, Paul sabatier university, Query, Retrieval, Semantic relations, Semantic weight, Several classes, Several classification criteria, Similarity degree, Static links, Structural links, Synonymy, Synonymy class, Synonymy classes, Textual descriptor, Thesaurus, Thesaurus node, Thesaurus nodes, Toulouse, User.
Abstract
Abstract: We present in this paper a navigation approach using a combination of functionalities encountered in classification processes, Hypertext Systems and Information Retrieval Systems. Its originality lies in the cooperation of these mechanisms to restrict the consultation universe, to locate faster the searched information, and to tackle the problem of disorientation when consulting the restricted Hypergraph of retrieved information. A first version of the SYRIUS system has been developed integrating both Hypertext and Information Retrieval functionalities that we have called Hypertext Information Retrieval System (H.I.R.S.). This version has been extended using classification mechanisms. The graphic interface of this new system version is presented here. Querying the system is done through common visual representation of the database Hypergraph. The visualization of the Hypergraph can be parameterized focusing on several levels (classes, links,...).
Url:
DOI: 10.1016/0306-4573(93)90063-J
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 000435
- to stream Istex, to step Curation: 000349
- to stream Istex, to step Checkpoint: 002E68
- to stream Main, to step Merge: 003625
- to stream Main, to step Curation: 003427
Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: We present in this paper a navigation approach using a combination of functionalities encountered in classification processes, Hypertext Systems and Information Retrieval Systems. Its originality lies in the cooperation of these mechanisms to restrict the consultation universe, to locate faster the searched information, and to tackle the problem of disorientation when consulting the restricted Hypergraph of retrieved information. A first version of the SYRIUS system has been developed integrating both Hypertext and Information Retrieval functionalities that we have called Hypertext Information Retrieval System (H.I.R.S.). This version has been extended using classification mechanisms. The graphic interface of this new system version is presented here. Querying the system is done through common visual representation of the database Hypergraph. The visualization of the Hypergraph can be parameterized focusing on several levels (classes, links,...).</div>
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