Fast and quasi-natural language search for gigabytes of Chinese texts
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Efficient Signature File Methods for Text Retrieval
IEEE Transactions on Knowledge and Data Engineering
Applying a Flexible OODBMS-IRS-Coupling for Structured Document Handling
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
A Depository for Structured Text Objects
DEXA '95 Proceedings of the 6th International Conference on Database and Expert Systems Applications
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The maintenance cost is a critical issue for the success of integrating database and information retrieval systems (IRS). For a robust integration of search engines, the signature file filter can effectively eliminate the maintenance cost and offer a more natural fit between the database and text retrieval systems. Extending the usability of merged database and signature based text-retrieval systems by building on an object-oriented database management system (OODBMS) provides better and complementary advantages to both databases and information retrieval systems (IRSs). In this paper, we present a new approach for integrating OODBMSs and IRSs that maintains the flexibility and avoids overheads of mapping process, by means of encapsulating the documents and signature based IR methods into storable objects which are being stored in the database. In addition, we develop a novel signature file approach based on a statistical corpus extraction technique, which can effectively reduce false drop probability for text retrieval from the underneath document database.