Modern Information Retrieval
Searching web databases by structuring keyword-based queries
Proceedings of the eleventh international conference on Information and knowledge management
Searching XML documents via XML fragments
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Path-Augmented Keyword Search for XML Documents
ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
XML search: languages, INEX and scoring
ACM SIGMOD Record
XSEarch: a semantic search engine for XML
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
COMPASS: a concept-based web search engine for HTML, XML, and deep web data
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Introduction to Information Retrieval
Introduction to Information Retrieval
Processing XML Keyword Search by Constructing Effective Structured Queries
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
A Probabilistic Retrieval Model for Semistructured Data
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Refining Keyword Queries for XML Retrieval by Combining Content and Structure
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Proceedings of the VLDB Endowment
Encyclopedia of Database Systems
Encyclopedia of Database Systems
Towards an Effective XML Keyword Search
IEEE Transactions on Knowledge and Data Engineering
From natural language to NEXI, an interface for INEX 2005 queries
INEX'05 Proceedings of the 4th international conference on Initiative for the Evaluation of XML Retrieval
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
Top-K data source selection for keyword queries over multiple XML data sources
Journal of Information Science
| Hi-index | 0.00 |
Current research and development of structured retrieval systems allow search communities to tap into structured resources over the web. These resources have advantages compared with the normal web resources as they have additional annotations that can be utilized when composing a search request. However, structured query languages used by these retrieval systems are not meant for normal searchers. This article addresses this problem by automating the construction of a structured query from a keywords query that is more familiar to the web search user. As a result, a query transformation framework is proposed. Different from the existing framework, which is a one-time solution, our proposed framework has greater flexibility in accommodating new structured query languages and different collection types. A novel intermediate query representation is designed to handle transformation to multiple types of query languages, whereas a context-based probabilistic model is designed to capture the structural features of both homogeneous and heterogeneous collections. Experimental results show that the structured queries generated from our framework give promising results compared with their source queries. This finding suggests that the framework can potentially be used in search applications to improve their search features.