Fab: content-based, collaborative recommendation
Communications of the ACM
Clustering user queries of a search engine
Proceedings of the 10th international conference on World Wide Web
SEAL: a framework for developing SEmantic PortALs
Proceedings of the 1st international conference on Knowledge capture
Probabilistic query expansion using query logs
Proceedings of the 11th international conference on World Wide Web
Modern Information Retrieval
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
HLT '02 Proceedings of the second international conference on Human Language Technology Research
On the query refinement in the ontology-based searching for information
CAiSE'03 Proceedings of the 15th international conference on Advanced information systems engineering
| Hi-index | 0.00 |
In this paper, we present a novel approach for the managing the clarity of queries which users post to a knowledge portal. The approach is based on the (i) measuring the ambiguity of a query and (ii) suggesting the refinement of the original query, based on various ambiguity analyses: structure of the query, knowledge repository and user' behaviours. The approach is mainly based on tracking users' interactions with the portal. Since the approach requires more semantic information about users' querying activities (for example, how many results are retrieved), which are not contained in the traditional Web server log, we have developed the new, client-based, method for tracking users' activities which is presented in the paper as well. The short evaluation study shows the benefits of applying our approach in a real-world portal.