Abstract
For any social network, due to its vast amount of content for each user, is the best source for personalization and recommendation systems In this paper, we work on building users’ knowledge graph, which uses Wikipedia as its knowledge base and users’ tweets as input data. The knowledge graph contains the relevant articles matched accordingly with the keywords extracted from users tweets. This structure is helpful for a recommendation in E-commerce and social network analysis.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Godoy, D., Amandi, A.: Modeling user interests by conceptual clustering. Inf. Syst. 31(4), 247–265 (2006)
Ramanathan, K., Kapoor, K.: Creating user profiles using wikipedia. Concept. Model. ER 2009, 415–427 (2009)
Mislove, A., Viswanath, B., Gummadi, K.P., Druschel, P.: You are who you know: inferring user profiles in online social networks. In: Proceedings of the Third ACM International Conference on Web Search and Data Mining pp. 251–260 (2010)
Harvey, M., Crestani, F., Carman, M.J.: Building user profiles from topic models for personalised search. In: Proceedings of the 22nd ACM International Conference on Conference on Information & Knowledge Management, pp. 2309–2314 (2013)
Ramage, D., Dumais, S.T., Liebling, D.J.: Characterizing microblogs with topic models. In: ICWSM, vol. 10, p. 1 (2010)
Abel, F., Gao, Q., Houben, G.J., Tao, K.: Analyzing user modeling on twitter for personalized news recommendations. In: User Modeling, Adaption and Personalization, pp. 1–12 (2011)
Abel, F., Gao, Q., Houben, G.J., Tao, k.: Semantic enrichment of twitter posts for user profile construction on the social web. In: Extended Semantic Web Conference, pp. 375–389 (2011)
Orlandi, F., Breslin, J., Passant, A.: Aggregated, interoperable and multi-domain user profiles for the social web. In: Proceedings of the 8th International Conference on Semantic Systems, pp. 41–48 (2012)
Jain, P., Hitzler, P., Sheth, A.P., Verma, K., Yeh, P.Z.: Ontology alignment for linked open data. In: International Semantic Web Conference, pp. 402–417 (2010)
Xu, T., Oard, D.W.: Wikipedia-based topic clustering for microblogs. Proc. Assoc. Inf. Sci. Technol. 48(1), 1–10 (2011)
Genc, Y., Sakamoto, Y., Nickerson, J.: Discovering context: classifying tweets through a semantic transform based on wikipedia. In: Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, pp. 484–492 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Talebi, S., Manoj, K., Hemantha Kumar, G. (2019). Building Knowledge Graph Based on User Tweets. In: Nagabhushan, P., Guru, D., Shekar, B., Kumar, Y. (eds) Data Analytics and Learning. Lecture Notes in Networks and Systems, vol 43. Springer, Singapore. https://doi.org/10.1007/978-981-13-2514-4_36
Download citation
DOI: https://doi.org/10.1007/978-981-13-2514-4_36
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-2513-7
Online ISBN: 978-981-13-2514-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)