Optimum polynomial retrieval functions based on the probability ranking principle
ACM Transactions on Information Systems (TOIS)
Optimizing ranking functions: a connectionist approach to adaptive information retrieval
Optimizing ranking functions: a connectionist approach to adaptive information retrieval
Probabilistic query expansion using query logs
Proceedings of the 11th international conference on World Wide Web
Discovery of relational association rules
Relational Data Mining
OntoSeek: Content-Based Access to the Web
IEEE Intelligent Systems
User-Driven Ontology Evolution Management
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
WUM - A Tool for WWW Ulitization Analysis
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
Usage-Oriented Evolution of Ontology-Based Knowledge Management Systems
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
On Enhancing Searching for Information in an Information Portal by Tracking Users' Activities
WISEW '02 Proceedings of the Third International Conference on Web Information Systems Engineering (Workshops) - (WISEw'02)
Information-Need Driven Query Refinement
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
SPARK: adapting keyword query to semantic search
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
| Hi-index | 0.00 |
In this paper we present the conceptual architecture of ONTOLOGER, a system for usage-driven management of querying for information in ontology-based information portals. The system is based on the analysis of users' activities that are acquired in the so-called semantic log file, which contains information about the content of a visited page as well. These analyses are used for managing (i) the underlying ontology, (ii) querying mechanism and (iii) the content of the information repository, in order to ensure that (a) the structure of the vocabulary reflects the needs of users, (b) the highly-relevant results can be found by users although they make short queries and read only top-ranked results and (c) the information repository contains (only) resources users are interested in. The focus of the paper is on improving querying (retrieval) mechanism based on the usage data. We present a case study, which shows how a portal can benefit from implementing presented management system.