SQL text parsing for information retrieval

Authors:
David Holmes
Affiliations:
NCR Corporation
Venue:
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Year:
2003

Citing 5
Cited 1

Integrating structured data and text: a relational approach

Journal of the American Society for Information Science
A parallel relational database management system approach to relevance feedback in information retrieval

Journal of the American Society for Information Science
A technique for computer detection and correction of spelling errors

Communications of the ACM
A stop list for general text

ACM SIGIR Forum
Improving Precision and Recall for Soundex Retrieval

ITCC '02 Proceedings of the International Conference on Information Technology: Coding and Computing

Information retrieval from digital libraries in SQL

Proceedings of the 10th ACM workshop on Web information and data management

Quantified Score

Hi-index	0.00

Visualization

Abstract

The concept of using a relational database to perform information retrieval (IR) search functions is well established. Prior work demonstrates the capability to perform common functions and advanced ranking algorithms using standard, unchanged SQL. The previous work does not address the preprocessing of unstructured text within the relational model. In fact, the parsing of the unstructured data into a structured data set was done outside of the database, usually using sequential programming languages such as C. This work proves that IR preprocessing does not require proprietary application code to build the framework necessary for searching document databases. Furthermore, the resulting environment is relational and integrates with other data sources within an organization.