An evaluation of retrieval effectiveness for a full-text document-retrieval system
Communications of the ACM
Answering queries using views (extended abstract)
PODS '95 Proceedings of the fourteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Information storage and retrieval
Information storage and retrieval
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Top-down induction of first-order logical decision trees
Artificial Intelligence
View-based query processing for regular path queries with inverse
PODS '00 Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
SilkRoute: trading between relations and XML
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Representing and querying XML with incomplete information
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Generating efficient plans for queries using views
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Applying summarization techniques for term selection in relevance feedback
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Machine Learning
Modern Information Retrieval
Optimizing Queries with Materialized Views
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Information Integration Using Logical Views
ICDT '97 Proceedings of the 6th International Conference on Database Theory
A Scalable Algorithm for Answering Queries Using Views
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
W3QS: A Query System for the World-Wide Web
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
ADMIT: anomaly-based data mining for intrusions
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A Declarative Language for Querying and Restructuring the Web
RIDE '96 Proceedings of the 6th International Workshop on Research Issues in Data Engineering (RIDE '96) Interoperability of Nontraditional Database Systems
An effective approach to document retrieval via utilizing WordNet and recognizing phrases
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Applying passage in Web text mining
International Journal of Intelligent Systems - Intelligent Technologies
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Content-based methodology for anomaly detection on the web
AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
Hi-index | 0.00 |
Web users often post queries through form-based interfaces on the Web to retrieve data from the Web; however, answers to these queries are mostly computed according to keywords entered into different fields specified in a query interface, and their precision and recall could be low. The precision and recall ratios in answering this type of query can be improved by considering closely related previous queries submitted through the same interface, along with their answers. In this paper, we present an approach for enhancing the retrieval of relevant answers to a form-based Web query by adopting the data-mining approach using previous, relevant queries and their answers. Experimental results on a randomly selected set of 3,800 documents retrieved from various Web sites show that our data-mining, query-rewriting approach achieves average precision and true positive ratios on rewritten queries in the upper 80% range, whereas the average false positive ratio is less than 2.0%.