Dynamic Logic
Personalized Web Search For Improving Retrieval Effectiveness
IEEE Transactions on Knowledge and Data Engineering
Logic in Computer Science: Modelling and Reasoning about Systems
Logic in Computer Science: Modelling and Reasoning about Systems
Epistemic Logic for AI and Computer Science
Epistemic Logic for AI and Computer Science
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
A comparative study of ontology based term similarity measures on PubMed document clustering
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
ICLA'11 Proceedings of the 4th Indian conference on Logic and its applications
Semantic linking through spaces for cyber-physical-socio intelligence: A methodology
Artificial Intelligence
User-centric query refinement and processing using granularity-based strategies
Knowledge and Information Systems
Research interests: their dynamics, structures and applications in unifying search and reasoning
Journal of Intelligent Information Systems
Ontology extraction and integration from semi-structured data
AMT'11 Proceedings of the 7th international conference on Active media technology
User interests modeling based on multi-source personal information fusion and semantic reasoning
AMT'11 Proceedings of the 7th international conference on Active media technology
Ranking and combining social network data for web personalization
Proceedings of the 2012 workshop on Data-driven user behavioral modelling and mining from social media
Hi-index | 0.00 |
With the emerging microbloging and social networking platforms, interests become more and more important for user-driven Web applications. Nevertheless, there is no specific logical system that can be directly used to describe human interests and relevant inference rules. In this paper, we introduce the interest logic. We give a formal language to describe the proposed interest logic, then we discuss its semantics and axiomatization. Following the proposed interest logic, we discuss some interesting characteristics of human interests. With the discussion of factors that are related to human interests, we propose some possible extensions of interests logic. Finally, we give several applications of interest logic on the Web platforms to illustrate its potentials and effectiveness.