Ranking Documents Based on the Semantic Relations Using Analytical Hierarchy Process: Query Expansion and Ranking Process
With the rapid growth of the World Wide Web comes the need for a fast and accurate way to reach the information required. Search engines play an important role in retrieving the required information for users. Ranking algorithms are an important step in search engines so that the user could retrieve the pages most relevant to his query In this work, the authors present a method for utilizing genealogical information from ontology to find the suitable hierarchical concepts for query extension, and ranking web pages based on semantic relations of the hierarchical concepts related to query terms, taking into consideration the hierarchical relations of domain searched (sibling, synonyms and hyponyms) by different weighting based on AHP method. So, it provides an accurate solution for ranking documents when compared to the three common methods.
Year of publication: |
2017
|
---|---|
Authors: | El-Dsouky, Ali I. ; Ali, Hesham A. ; Rashed, Rabab Samy |
Published in: |
International Journal of Information Retrieval Research (IJIRR). - IGI Global, ISSN 2155-6385, ZDB-ID 2703390-9. - Vol. 7.2017, 3 (01.07.), p. 22-37
|
Publisher: |
IGI Global |
Subject: | Information Retrieval | Ontology | Ranking Web | Search Engine | Semantic Rank |
Saved in:
Online Resource
Saved in favorites
Similar items by subject
-
A semantics-based method for clustering of Chinese web search results
Zhang, Hui, (2014)
-
A double metan-semantic search model based on ontology and semantic similarity : asthma disease
Belabed, Mourad, (2023)
-
Extraktion und kartografische Visualisierung von Informationen aus Weblogs
Portmann, Edy, (2010)
- More ...