ObjectRank: a system for authority-based search on databases

ABSTRACT

We present ObjectRank demo system that performs authority-based keyword search on bibliographic databases. We also provide Inverse ObjectRank as a keyword-specific specificity metric and other calibration parameters such as Global ObjectRank. Users can specify various combinations of calibration values to control the behavior of the demo. Finally, we propose a methodology that enables us to extend query results using the ontology graph.

REFERENCES

• 1: A. Balmin, V. Hristidis, and Y. Papakonstantinou. ObjectRank: Authority-Based Keyword Search in Databases. VLDB, 2004.
• 2: A. Balmin, V. Hristidis, and Y. Papakonstantinou. ObjectRank: Authority-Based Keyword Search in Databases (extended version). UCSD Technical Report, 2004.
• 3: Sergey Brin , Lawrence Page, The anatomy of a large-scale hypertextual Web search engine, Proceedings of the seventh international conference on World Wide Web 7, p.107-117, April 1998, Brisbane, Australia
• 4: V. Hristidis, H. Hwang, and Y. Papakonstantinou. Authority-Based Keyword Search in Databases. under preparation for journal submission, 2006.
• 5: Raghu Ramakrishnan , Johannes Gehrke, Database Management Systems, McGraw-Hill Science/Engineering/Math, 2002

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL

General Terms:
Algorithms