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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

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A Logic-based Friend Reference Semantic System for an online Social Networks

A.Kirankumar, P.Ganesh Kumar Reddy, A.Ram Charan Reddy, Baneti Shivaji , D.Jayanarayan Reddy
Department of CSE, G.Pullaiah College of Engineering and Technology. Kurnool JNTU Anatapur, Andhra Pradesh, India

Outstanding achievement of rising Web 2.0, and distinctive informal community (social network) Sites, for example, Amazon and motion picture lens, recommender frameworks are making remarkable chances to help individuals scanning the web when searching for pertinent data, and settling on decisions. By and large, these recommender frameworks are arranged in three classifications: content based, collaborative separating, and cross breed based suggestion frameworks. As a rule, these frameworks utilize standard suggestion routines, for example, counterfeit neural networks, nearest neighbor, or Bayesian systems. Be that as it may, these methodologies are constrained contrasted with systems focused around web applications, for example, informal communities or semantic web. In this paper, we propose a novel methodology for suggestion frameworks called semantic social proposal frameworks that improve the assessment of informal communities (social network) abusing the force of semantic interpersonal organization investigation. Investigates true information from Amazon look at the nature of our suggestion system and additionally the execution of our proposal calculations.

A.Kirankumar,P.Ganesh Kumar Reddy,A.Ram Charan Reddy,Baneti Shivaji,D.Jayanarayan Reddy."A Logic-based Friend Reference Semantic System for an online Social Networks". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.1, Issue 06,pp.501-506, DECEMBER - 2014, URL :,

Keywords : Semantic System, Social Networks, Recommendation systems

[1] Adam Rae, Börkur Sigurbjörnsson, Roelof van
Zwol.Improving tag recommendation using social
networks Proceeding RIAO '10 Adaptivity,
Personalization and Fusion of Heterogeneous
Information. Paris France. 2010.
[2] G. Adomavicius and A. Tuzhilin. Toward the next
generation of recommender systems: A survey of the
state-of-the-art and possible extensions. Knowledge
and Data Engineering, IEEE Transactions on,
17(6):734-749, 2005.
[3] C. C. Aggarwal, J. L. Wolf, K. Wu, and P. S. Yu.
Horting Hatches an Egg: A New Graph-Theoretic
Approach to Collaborative Filtering. In KDD '99:
Proceedings of the fifth ACM SIGKDD international
conference on Knowledge discovery and data mining,
pp 201-212, San Diego, California,United States, 1999.
[4] E.-A. Baatarjav, S. Phithakkitnukoon, and R.
Dantu. Group recommendation system for facebook.
Pp 221-219. 2008.
[5] Balabanovic, M., and Shoham, Y., 1997. Fab:
Content-based,collaborative recommendation.
Communications of the ACM,40:66-72, 1997
[6] S. D. Bedrick and D. F. Sittig. A scientific
collaboration tool built on the facebook platform.
AMIA ... Annual Symposium proceedings / AMIA
Symposium. (2008):41-45, 2008.
[7] Berners-Lee, T., Hendler, J. y Lassila, O. "The
Semantic Web: A new form of Web content that is
meaningful to computers will unleash a revolution of
new possibilities". (2001) scientific American, May.
[8] Boutilier, C., Zemel, R.S. y Marlin, B. (2003).
"Active collaborative filtering". Proc. Of the 19th
Annual Conference on Uncertainty in Artificial
Intelligence, pp. 98-106.
[9] A. Byde, H. Wan, and S. Cayzer. personalized tag
recommendations via tagging and content-based
similarity metrics. Proceedings of the International
Conference on Weblogs and Social Media, (March
[10] P. Cano, O. Celma, M. Koppenberger, and M.
J.Buldu.Topology of music recommendation
networks. Chaos An Interdisciplinary Journal of
Nonlinear Science, 16, 2006.
[11] M. Claypool, A. Gokhale, T. Miranda, P.
Murnikov, D.Netes, and M. Sartin. Combining content-based and collaborative filters in an online
newspaper, 1999.
[12] Cantador, I. y Castells, P. Multilayered Semantic
Social Network Modeling by Ontology-Based User
Profiles Clustering:Application to Collaborative
Filterin. In Managing Knowledge in a World of
Networks, pp. 334-34, 2006
[13] S. Downes. The semantic social network,
February 2004, ,
published in The Learning Organization: An
International Journal, Emerald Group Publishing
Limited, Vol. 12 (2005) 411-417
[14] G. Erétéo, F. L. Gandon, O. Corby, and M. Buffa.
Semantic social network analysis. CoRR,
abs/0904.3701, 2009.
[15] J. Golbeck and M. Rothstein. Linking social
networks on the web with foaf: A semantic web case
study. In AAAI, pages 1138–1143, 2008.
[16] Henry M.Kim. Ontologies for the semantic web:
Can social network analysis be used to develop them?
Proceedings of the Conference on Computational
Analysis of Social and Organizational Systems
(CASOS), Pittsburgh, PA, June 21-3,2002.
[17] J. A. Konstan, B. N. Miller, D. Maltz, J. L.
Herlocker, L. R.Gordon, and J. Riedl. Grouplens:
Applying collaborative filtering to Usenet news.
Communications of the ACM, 40(3):77-87,1997.
[18] J. L. Herlocker, J. A. Konstan, A. Borchers, and J.
Riedl. An algorithmic framework for performing
collaborative filtering. In SIGIR '99: Proceedings of the
22nd annual international ACM SIGIR conference on
Research and development in information etrieval,
pages 230-237, New York, NY, USA, 1999. ACM.
[19] T. Hofmann. Latent Class Models for
Collaborative Filtering. In In Proceedings of the
Sixteenth International Joint Conference on Artificial
Intelligence, pages 688-693, 1999.
[20] B. Hoser, A. Hotho, R. Jäschke, C. Schmitz, and
Stumme,Gerd. Semantic Network Analysis of
Ontologies, 3rd European Semantic Web Conference,
ESWC 2006, Budva, Montenegro,June 11-14, 2006,
Proceedings Series: Lecture Notes in Computer
Science, Vol. 4011 Subseries: Information Systems and


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