Using statistical testing in the evaluation of retrieval experiments
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Extended Boolean information retrieval
Communications of the ACM
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Ρ-Queries: enabling querying for semantic associations on the semantic web
WWW '03 Proceedings of the 12th international conference on World Wide Web
Optimal aggregation algorithms for middleware
Journal of Computer and System Sciences - Special issu on PODS 2001
XRANK: ranked keyword search over XML documents
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
A hybrid approach for searching in the semantic web
Proceedings of the 13th international conference on World Wide Web
SemRank: ranking complex relationship search results on the semantic web
WWW '05 Proceedings of the 14th international conference on World Wide Web
An efficient and versatile query engine for TopX search
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Effective keyword search in relational databases
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Bottom-Up Extraction and Trust-Based Refinement of Ontology Metadata
IEEE Transactions on Knowledge and Data Engineering
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval
IEEE Transactions on Knowledge and Data Engineering
A Relation-Based Search Engine in Semantic Web
IEEE Transactions on Knowledge and Data Engineering
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Spark: top-k keyword query in relational databases
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Discover: keyword search in relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Identifying Potentially Important Concepts and Relations in an Ontology
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Ranking ontologies with AKTiveRank
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
| Hi-index | 0.00 |
On the Semantic Web, the types of resources and the semantic relationships between resources are defined in an ontology. By using that information, the accuracy of information retrieval can be improved. In this paper, we present effective ranking and search techniques considering the semantic relationships in an ontology. Our technique retrieves top-k resources which are the most relevant to query keywords through the semantic relationships. To do this, we propose a weighting measure for the semantic relationship. Based on this measure, we propose a novel ranking method which considers the number of meaningful semantic relationships between a resource and keywords as well as the coverage and discriminating power of keywords. In order to improve the efficiency of the search, we prune the unnecessary search space using the length and weight thresholds of the semantic relationship path. In addition, we exploit Threshold Algorithm based on an extended inverted index to answer top-k results efficiently. The experimental results using real data sets demonstrate that our retrieval method using the semantic information generates accurate results efficiently compared to the traditional methods.