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A practical method for browsing a relational database using a standard search engine
- Source :
- Integrated Computer-Aided Engineering. 16:211-223
- Publication Year :
- 2009
- Publisher :
- IOS Press, 2009.
-
Abstract
- Standard search engines have made the task of looking for information relatively easy and painless. In sharp contrast, most relational database interfaces make searching for information complicated and confusing - mainly because they require knowledge of specialized languages and the schema of the underlying data. In this paper, the authors describe a technique that supports the querying of a relational database (RDB) using a standard search engine. The technique involves expressing database queries through URLs. The technique also includes the development of a special wrapper that can process the URL-query and generate web pages that contain the answer to the query as well as links to additional data. By following these specialized links, a standard web crawler can index the RDB along with all the URL-queries. Once the content and their corresponding URL-queries have been indexed, a user may submit keyword queries through a standard search engine and receive the most current information in the database. Moreover, the system has been recently augmented with standard query syntax and metadata that allows users to formulate more expressive queries and search engines to index the database more efficiently. The authors describe the technique for making database content accessible to the web; they provide an evaluation of a prototype system that shows the correctness of our approach; and they present experimental results that show how adding metadata can improve the overall efficiency of the search.
- Subjects :
- Information retrieval
Database
Alias
Computer science
View
Relational database
InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL
Database schema
InformationSystems_DATABASEMANAGEMENT
computer.software_genre
Database design
Computer Science Applications
Theoretical Computer Science
Search-oriented architecture
Computational Theory and Mathematics
Artificial Intelligence
Metasearch engine
Web crawler
computer
Software
Subjects
Details
- ISSN :
- 18758835 and 10692509
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Integrated Computer-Aided Engineering
- Accession number :
- edsair.doi...........f28e49390410dc2387ffca203eba80b1
- Full Text :
- https://doi.org/10.3233/ica-2009-0317