Combining Information Seeking Services into a Meta Supply Chain of Facts

Dmitri Roussinov, Michael Chau
2008 Journal of the AIS  
Roussinov, Dmitri and Chau, Michael (2008) Combining information seeking services into a meta supply chain of facts. Journal of the Association for Information Systems, 9 (3). , Abstract The World Wide Web has become a vital supplier of information for organizations in order to carry on such tasks as business intelligence, security monitoring and risk assessments. Having a quick reliable supply of correct facts from the outside environment is often mission critical. By following the design
more » ... ce guidelines we have explored ways to recombine facts from multiple sources, each with possibly different responsiveness and accuracies into one robust supply chain. Inspired by prior research on keyword based meta search engines (e.g. we have adapted the existing question answering algorithms to the task of analysis and triangulation of facts. We present a first prototype for a meta approach to fact seeking. Our meta engine sends a user's question to several fact seeking services that are publicly available on the Web and analyzes the returned results jointly to identify and present to the user those that are most likely to be factually correct. The results of our evaluation on the standard test sets widely used in prior research support the evidence for the following: 1) the value-added of the meta approach: its performance surpasses the performance of each supplier, 2) the importance of using fact seeking services as suppliers to the meta engine rather than keyword driven search portals, and 3) the resilience of the meta approach: eliminating a single service does not noticeably impact the overall performance. We show that those properties make the meta-approach a more reliable supplier of facts than any of the currently available stand-alone services. on the faculty at Syracuse University, School of Information Studies. His research interests include security informatics, applications of artificial intelligence to knowledge management, group decisions support systems, and electronic commerce. Dr. Roussinov has published in IEEE Transactions on Knowledge and Data Engineering, Communications of the ACM, Decision Support Systems, and Information Processing and Management. He has also presented at many well known international conferences. Systems from the University of Hong Kong. His current research interests include information retrieval, Web mining, data mining, knowledge management, electronic commerce, security informatics, and intelligence agents. He has published more than 60 research articles in various journals and conferences including IEEE Computer, ACM
doi:10.17705/1jais.00154 fatcat:duibw4fubzhg3pz5xkiavuuy5i