posted on 2023-05-23, 08:59authored byBao, Z, Lu, J, Ling, TW
Keyword search over XML data usually brings irrelevant results especially when the keywords in a user query have ambiguities. We demonstrate a statistic-based approach to identify the search targets and constraints of a user query in the presence of keyword ambiguities, and come out a relevance oriented result ranking scheme called XML TF*IDF. Since the search intention of a same query may even vary from user to user, we provide an interactive search strategy by allowing user to simply tick their desired search targets from a list of suggestions recommended by the search engine. In this way, we can acquire more precise results and also take the burden of learning the schema of XML data off users.
History
Publication title
Proceedings of the 19th ACM International Conference on Information and Knowledge Management
Pagination
1933-1934
ISBN
978-1-4503-0099-5
Department/School
School of Information and Communication Technology
Publisher
Association for Computing Machinery
Place of publication
New York, USA
Event title
19th ACM International Conference on Information and Knowledge Management
Event Venue
Toronto, Canada
Date of Event (Start Date)
2010-10-26
Date of Event (End Date)
2010-10-30
Rights statement
Copyright 2010 ACM
Repository Status
Restricted
Socio-economic Objectives
Information systems, technologies and services not elsewhere classified