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Performance Analysis of an Ontology Based Crawler Operating in a Distributed Environment

Authors(3) :-Wael A. Gab-ALLAH, Ben Bella S. Tawfik, Hamed M. Nassar

Crawlers are being increasingly utilized to retrieve information from distributed information sources, such as the Web. We have implemented one that makes use of some novel algorithms and techniques, namely, a novel IR architecture, an efficient query expansion algorithm based on WordNet, a new crawling technique based on ontology and a new rapid filtering algorithm based on semantic similarity. The experimental results of the implemented crawler, named Ontology Based Distributed Information Retrieval (OBDIR) system, show superiority to those obtained from systems based on the standard Breadth First (BF) search technique. In this paper we analyze the performance of the OBDIR system. We develop a probabilistic model that captures the operational dimensions of the system. The model makes heavy use of Bayes’ theorem and can help establish a foundational theory for DIR. We study such performance metrics as recall and precision, and allude to other performance tools such as accuracy and ROC space. The study shows that by carefully choosing the keywords the performance of the crawler is enhanced greatly.
Wael A. Gab-ALLAH, Ben Bella S. Tawfik, Hamed M. Nassar
Information retrieval, Web search, Focused crawler, Ontology
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Publication Details
  Published in : Volume 2 | Issue 3 | May-June 2016
  Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 334-339
Manuscript Number : IJSRST162389
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Wael A. Gab-ALLAH, Ben Bella S. Tawfik, Hamed M. Nassar, "Performance Analysis of an Ontology Based Crawler Operating in a Distributed Environment", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 2, Issue 3, pp.334-339, May-June-2016.
Journal URL : http://ijsrst.com/IJSRST162389

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