Analysis of a very large web search engine query log
ACM SIGIR Forum
WSQ/DSQ: a practical approach for combined querying of databases and the Web
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Data integration using similarity joins and a word-based information representation language
ACM Transactions on Information Systems (TOIS)
An information-theoretic approach to automatic query expansion
ACM Transactions on Information Systems (TOIS)
Modern Information Retrieval
Top-k selection queries over relational databases: Mapping strategies and performance evaluation
ACM Transactions on Database Systems (TODS)
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
The loquacious user: a document-independent source of terms for query expansion
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using term relationships in language models for information retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
Effective keyword search in relational databases
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Integrating document and data retrieval based on XML
The VLDB Journal — The International Journal on Very Large Data Bases
Semantic term matching in axiomatic approaches to information retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
A statistical method for system evaluation using incomplete judgments
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Efficient IR-style keyword search over relational databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
A community question-answering refinement system
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
A group recommender for movies based on content similarity and popularity
Information Processing and Management: an International Journal
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Data retrieval (DR) and information retrieval (IR) have traditionally occupied two distinct niches in the world of information systems. DR systems effectively store and query structured data, but lack the flexibility of IR, i.e., the ability to retrieve results which only partially match a given query. IR, on the other hand, is quite useful for retrieving partial matches, but lacks the completed query specification on semantically unambiguous data of DR systems. Due to these drawbacks, we propose an approach to combine the two systems using pre-defined word similaritiesto determine the correlation between a keyword query (commonly used in IR) and data records stored in the inner framework of a standard RDBMS. Our integrated approach is flexible, context-free, and can be used on a wide variety of RDBs. Experimental results show that RDBMSs using our word-similarity matching approach achieve high mean average precision in retrieving relevant answers, besides exact matches, to a keyword query, which is a significant enhancement of query processing in RDBMSs.