Literature Survey: Analysis on Semantic Web Information Retrieval Methodologies

DOI

10.2991/pecteam-18.2018.18How to use a DOI?

Keywords

Semantic search engine, Semantic Information retrieval, Ontology, semantic search

Abstract

The Semantic web is the extension of an existing web that defines a standard by which, information is given in well-defined meaning and enables the machines to understand information. Many kinds of research are going in semantic web space. Researchers follow different approaches to retrieve data from the semantic web. This paper is to investigate the existing situation of the Semantic Web with the focus on effective information retrieval. Based on the architecture of semantic search engine, list of parameters (like ranking algorithm, reasoning mechanism) is framed to carry out a systematic analysis of different techniques proposed by the researchers. This survey identifies around 20 unique models that retrieve the data from the semantic web and information systems. Summary of the selected semantic search models is specified and compared them by means of "classification parameters" defined. This comparison identifies common insight, unique features and also open issues. This study can be used as a guide for future application development and research.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - K Ezhilarasi
AU  - G. Maria Kalavathy
PY  - 2018/02
DA  - 2018/02
TI  - Literature Survey: Analysis on Semantic Web Information Retrieval Methodologies
BT  - Proceedings of the International Conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 2018)
PB  - Atlantis Press
SP  - 93
EP  - 108
SN  - 2352-5401
UR  - https://doi.org/10.2991/pecteam-18.2018.18
DO  - 10.2991/pecteam-18.2018.18
ID  - Ezhilarasi2018/02
ER  -