Indexing and Filtering Arabic Documents Using Ontology and MAS
Building An Arabic ontology On The Basis of Schemes ( ) And Their Semantics Meanings
(Sprache: Englisch)
For the semantic indexing of Arabic documents, we are building a new ontology (SchemNet) based on Arabic schemes and their meanings and the combination of the contents of Arabic WordNet (AWN) and Arabic VerbNet (AVN). Then we use this ontology to filter...
Leider schon ausverkauft
versandkostenfrei
Buch
32.90 €
16 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
Produktdetails
Produktinformationen zu „Indexing and Filtering Arabic Documents Using Ontology and MAS “
Klappentext zu „Indexing and Filtering Arabic Documents Using Ontology and MAS “
For the semantic indexing of Arabic documents, we are building a new ontology (SchemNet) based on Arabic schemes and their meanings and the combination of the contents of Arabic WordNet (AWN) and Arabic VerbNet (AVN). Then we use this ontology to filter documents in order to find the relevant documents that respond to the user requests. Although the indexing process is based on the stemming phase, the current available solutions have proven that this step consumes a lot of time when processing a large volume of data. To the best of our knowledge, there are no works addressing this problem and especially through the use of agents to improve the indexing process of Arabic documents. Our objective is indexing Arabic documents based on the multi-agent system to improve the indexing process on the term of time processing.
Autoren-Porträt von Zouaoui Samia, Rezeg Khaled
Samia, ZouaouiZouaoui Samia obtained her engineering diploma in 2003 and her master's degree from the university of Biskra - Algeria in 2015. She is a Professor specialized in vocational education and training in the Institute of ProfessionalEducation of Biskra. She is preparing her doctoral degree workingon Arabic Ontology and multi-agent systems.
Bibliographische Angaben
- Autoren: Zouaoui Samia , Rezeg Khaled
- 2019, 52 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6200298130
- ISBN-13: 9786200298133
Sprache:
Englisch
Kommentar zu "Indexing and Filtering Arabic Documents Using Ontology and MAS"
0 Gebrauchte Artikel zu „Indexing and Filtering Arabic Documents Using Ontology and MAS“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Indexing and Filtering Arabic Documents Using Ontology and MAS".
Kommentar verfassen