Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Modern Information Retrieval
Keyword Searching and Browsing in Databases using BANKS
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Automatic categorization of query results
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Effective keyword search in relational databases
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
ObjectRank: a system for authority-based search on databases
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
An inside analysis of a genetic-programming based optimizer
IDEAS '06 Proceedings of the 10th International Database Engineering and Applications Symposium
Discover: keyword search in relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Efficient IR-style keyword search over relational databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Authority-based keyword search in databases
ACM Transactions on Database Systems (TODS)
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Due to appearance of varied semi-structured databases on Internet and Intranet, knowingly and unknowingly huge amount of Information grow at a fast pace. These databases evolve very quickly; like run time report generated by ERPs, World-Wide Web with its HTML pages, text files, bibliographies, various logs generated etc. Such burgeoning databases have made it difficult to retrieve relevant information in terms of effectiveness and precision. User is often interested in integrating various formats (text, image or structured) that are generally realized as files, and also wants to access them in an integrated fashion. Hence. Effective query result is expected in semi-structured databases. Here the user not only queries the data to find a particular piece of information, but is also keen in knowing better understanding of the query. From our literature survey and experience it is observed that mapping of IR style techniques with semi-structured databases may lead to better retrieval performance. This paper discusses the varied semi-structured databases, their representation, what are the research challenges in terms of data mining, data quality and Keyword based query in this field.