The use of a graph‐based system to improve bibliographic information retrieval: System design, implementation, and evaluation
- 28 March 2016
- journal article
- research article
- Published by Wiley in Journal of the Association for Information Science and Technology
- Vol. 68 (2) , 480-490
Abstract
In this article, we propose a graph‐based interactive bibliographic information retrieval system—GIBIR. GIBIR provides an effective way to retrieve bibliographic information. The system represents bibliographic information as networks and provides a form‐based query interface. Users can develop their queries interactively by referencing the system‐generated graph queries. Complex queries such as “papers on information retrieval, which were cited by John's papers that had been presented in SIGIR” can be effectively answered by the system. We evaluate the proposed system by developing another relational database‐based bibliographic information retrieval system with the same interface and functions. Experiment results show that the proposed system executes the same queries much faster than the relational database‐based system, and on average, our system reduced the execution time by 72% (for 3‐node query), 89% (for 4‐node query), and 99% (for 5‐node query).Keywords
Funding Information
- Institute of Museum and Library Services (RE-07-15-0060-15)
This publication has 26 references indexed in Scilit:
- Query languages for graph databasesACM SIGMOD Record, 2012
- Survey of graph database modelsACM Computing Surveys, 2008
- An Evaluation of Triple-Store Technologies for Large Data Stores2007
- Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknessesThe FASEB Journal, 2007
- University Research Evaluation and Funding: An International ComparisonMinerva, 2003
- Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema2002
- The Semantic WebScientific American, 2001
- An Introduction to the Resource Description FrameworkBulletin of the American Society for Information Science and Technology, 1998
- The state of retrieval system evaluationInformation Processing & Management, 1992
- Join processing in relational databasesACM Computing Surveys, 1992