- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Aggregating Similarity Measures based Ontology on Documents Retrieval | ||
| Journal of University of Babylon | ||
| Article 1, Volume 23, Issue 2, 2015, Pages 586-594 | ||
| Authors | ||
| Ghaidaa A. Al-sultany; Samaher Hussein Ali | ||
| Abstract | ||
| This paper investigates a methodology for the ontology based semantic retrieval of annotated web documents with terms occurrence weighting. The semantic structural distance of document terms in terms of domain ontology is computed against new unknown queries to improve the documents ranking and retrieval. Furthermore, the role of aggregation methods to combine the weighting terms scheme based similarity measures with the similarity of semantic distance with respect to ontology have been carried out. Domain ontology is developed in which it defines a number of keywords and properties for semantic reasoning. The performance of the proposed method has been evaluated on health documents from a number of aspects, and experimental results are encouraging showing its effectiveness. | ||
| Keywords | ||
| Semantic distance; Resnik; Ontology; Aggregating | ||
|
Statistics Article View: 35 PDF Download: 21 |
||