The week's pick
Reseach Article
Comparative Study of Semantic Search Techniques using RDF
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 129 - Number 5 |
| Year of Publication: 2015 |
| Authors: Salil C. Damle, Shreyas S. Kupekar, Khushali Deulkar |
10.5120/ijca2015906902
|
Salil C. Damle, Shreyas S. Kupekar, Khushali Deulkar . Comparative Study of Semantic Search Techniques using RDF. International Journal of Computer Applications. 129, 5 ( November 2015), 16-19. DOI=10.5120/ijca2015906902
Abstract
In the sea of information available to us today, the prevalent searching techniques using keywords and ranking algorithms fall short on many aspects. In such a scenario, the emergence of semantic searching techniques is attempting to fill this void. It is required by Semantic searching techniques to understand the intent of users and the meaning of the query entered using Natural Language. The query is semantically broken down and stored in the Resource Description Framework (RDF) format. Such a structured format is more useful for implementing the search. In this paper, a comparison of various searching techniques which make use of RDF is done, based on certain parameters. The main intention is to identify the searching techniques which will be best suited for different purposes.
References
- Parth R. Agarwal: “Semantic Web In Comparison to Web2.0.” 2012 Third International Conference on Intelligent Systems Modelling and Simulation.
- Debajyoti Mukhopadhyay, Rituparna Kumar, Sourav R. Majumdar, Subhobroto Sinha: “A New Semantic Web Services to Translate HTML Pages to RDF.” 10th International Conference on Information Technology.
- Stefan Decker, Prasenjit Mitra, and Sergey Melnik: “Framework for the Semantic Web: An RDF Tutorial.”
- Eric Miller: “An Introduction to the Resource Description Framework.” Bulletin of the American Society for Information Science and Technology. Volume 25, Issue 1, pages 15–19, October/November 1998.
- Dario Bonino, Fulvio Corno, Laura Farinetti, Alessio Bosca: “Ontology Driven Semantic Search.” Dipartimento di Automatica ed Informatica Politecnico di Torino Corso Duca degli Abruzzi, 10129 Torino, Italy.
- Aidan Hogan, Andreas Harth, Jürgen Umbrich, Sheila Kinsella, Axel Polleres, Stefan Decker: “Searching and browsing Linked Data with SWSE: The Semantic Web Search Engine.” Web Semantics: Science, Services and Agents on the World Wide Web 9 (2011).
- Xiang Lian, Lei Chen and Zi Huang. “Keyword Search over Probabilistic RDF Graphs.” IEEE Transactions on Knowledge and Data Engineering, VOL. 27, NO. 5, MAY 2015
- Damir Vandic, Jan-Willem van Dam, Flavius Frasincar: “Faceted product search powered by the Semantic Web.” Decision Support Systems 53 (2012) 425–437
- S.Yasodha, S.S.Dhenakaran: “An Ontology-Based Framework for Semantic Web Content Mining.” 2014 International Conference on Computer Communication and Informatics (ICCCI -2014), Jan. 03 – 05, 2014.
- Yasufumi Takama, Shunichi Hattori: “Association Rules for Adaptive Search Engine Based on RDF Technology.” IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 54, NO. 2, APRIL 2007.
- N. Rajkumar, B.Gohin, Dr. Viji Vinod: “Search Engine: Intelligent Web Service Search.” Chennai and Vivekanandha College of Technology for women, Third International Conference on Sustainable Energy and Intelligent System (seiscon 2012),VCTW, Tiruchengode, Tamilnadu, India on 27-29 December, 2012.
- John Davies and Richard Weeks: “QuizRDF: Search Technology for the Semantic Web.” Proceedings of the 37th Hawaii International Conference on System Sciences – 2004.
- Haizhou Fu, HyeongSik Kim, Kemafor Anyanw: “Scaling Concurrency of Personalized Semantic Search over Large RDF Data.” 2013 IEEE International Conference on Big Data.
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