Literature Survey: Analysis on Semantic Web Information Retrieval Methodologies
K Ezhilarasi, G. Maria Kalavathy
Available Online February 2018.
- https://doi.org/10.2991/pecteam-18.2018.18How to use a DOI?
- Semantic search engine, Semantic Information retrieval, Ontology, semantic search
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/pecteam-18.2018.18 ID - Ezhilarasi2018/02 ER -