WordNet: a lexical database for English
Communications of the ACM
Automatic personalization based on Web usage mining
Communications of the ACM
ACM SIGKDD Explorations Newsletter
Personalized web search by mapping user queries to categories
Proceedings of the eleventh international conference on Information and knowledge management
Web mining for web personalization
ACM Transactions on Internet Technology (TOIT)
Ρ-Queries: enabling querying for semantic associations on the semantic web
WWW '03 Proceedings of the 12th international conference on World Wide Web
Ontology Based Personalized Search
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
SEWeP: using site semantics and a taxonomy to enhance the Web personalization process
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Ontology-based personalized search and browsing
Web Intelligence and Agent Systems
SemRank: ranking complex relationship search results on the semantic web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Ranking Complex Relationships on the Semantic Web
IEEE Internet Computing
Information Sciences: an International Journal
Discovering phishing target based on semantic link network
Future Generation Computer Systems
Searching and ranking method of relevant resources by user intention on the Semantic Web
Expert Systems with Applications: An International Journal
Simulation-Based graph similarity
TACAS'06 Proceedings of the 12th international conference on Tools and Algorithms for the Construction and Analysis of Systems
Personalized Content Retrieval in Context Using Ontological Knowledge
IEEE Transactions on Circuits and Systems for Video Technology
Exploring dictionary-based semantic relatedness in labeled tree data
Information Sciences: an International Journal
An efficient classification approach for large-scale mobile ubiquitous computing
Information Sciences: an International Journal
Extensible access control markup language integrated with Semantic Web technologies
Information Sciences: an International Journal
Semantic security against web application attacks
Information Sciences: an International Journal
Toward detection of aliases without string similarity
Information Sciences: an International Journal
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Semantic relationship deals with complex relationship between two entities in a knowledge base. In the process of finding the relationship, multiple paths connecting entities could be explored. Each path has a different meaning depending on the type of relation. Some of them may be relevant while others may be irrelevant depending on users' perspective with varying results for the same query. Hence, ranking these paths according to the user's need is imperative. In this paper, we adopt personalization approach to rank the semantic relationship paths. Here, user's interest level in various domains can be captured through their web browsing history and it is incorporated in calculating the context weights of the paths during the ranking process. The effectiveness of the ranking method is demonstrated through Spearman's foot rule correlation and precision rate. The experimental results prove that our proposed method is more efficient for ranking semantic relationship paths.