Knowledge retrieval in lexical ontology-based semantic web search engine

Authors:
Noryusliza Abdullah;Rosziati Ibrahim
Affiliations:
Universiti Tun Hussein Onn Malaysia, Johor, Malaysia;Universiti Tun Hussein Onn Malaysia, Johor, Malaysia
Venue:
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
Year:
2013

Citing 11
Cited 0

Enterprise Knowledge Infrastructures

Enterprise Knowledge Infrastructures
The Semantic Web Vision: Where Are We?

IEEE Intelligent Systems
Toward a Social Semantic Web

Computer
Toward a New Generation of Semantic Web Applications

IEEE Intelligent Systems
Ontology-Based Knowledge Retrieval

MICAI '08 Proceedings of the 2008 Seventh Mexican International Conference on Artificial Intelligence
Inductive reasoning and semantic web search

Proceedings of the 2010 ACM Symposium on Applied Computing
Adoption of Semantic Web from the perspective of technology innovation: A grounded theory approach

International Journal of Human-Computer Studies
Applicability assessment of Semantic Web technologies

Information Processing and Management: an International Journal
Review: Where to publish and find ontologies? A survey of ontology libraries

Web Semantics: Science, Services and Agents on the World Wide Web
SIREn: entity retrieval system for the web of data

FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
Semantic web search engine using ontology, clustering and personalization techniques

ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV

Quantified Score

Hi-index	0.00

Visualization

Abstract

Discovery of World Wide Web data is slightly affected due to natural-language text presentation in the internet. Moreover, exponential growth of users' requirement and expectation makes the matter more critical. Coping with the overstated problem, research and development on the Semantic Web and Semantic Web search engine are actively conducted. The concept of ontology is established in the searching process. In this paper, LexOn Search is introduced using WordNet as a lexical ontology to presents clustering concept in order to utilized searching time. LexOn search engine is built by integrating WordNet, Apache Solr and Semantic Information Retrieval Engine (SIREn). We test the LexOn search with SIREn and it shows LexOn improved the searching time. The preliminary experimental results have given interesting results in terms of data arrangement and time usage.