A Unified Approach to Researcher Profiling

• Published in: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence pp. 359 - 366
• Main Authors: Yao, Limin, Tang, Jie, Li, Juanzi
• Format: Conference Proceeding
• Language: English
• Published: Washington, DC, USA IEEE Computer Society 02.11.2007
• Series: ACM Conferences
• Subjects: Computing methodologies > Artificial intelligence > Knowledge representation and reasoning > Semantic networks; Information systems > Information retrieval; Information systems > Information retrieval > Evaluation of retrieval results; Information systems > Information retrieval > Users and interactive retrieval > Personalization; Information systems > Information systems applications > Data mining; Information systems > World Wide Web > Web searching and information discovery > Personalization
• ISBN: 0769530265; 9780769530260
• DOI: 10.1109/WI.2007.14

This paper addresses the issue of researcher profiling. By researcher profiling, we mean building a semantic profile for an academic researcher, by identifying and annotating information from the Web. Previously, person profile annotation was often undertaken separately in an ad-hoc fashion. This paper first gives a formalization of the entire problem and proposes a unified approach to perform the task using Conditional Random Fields (CRF). The paper shows that with introduction of a set of tags, most of the annotation tasks can be performed within this approach. Experiments show that significant improvements over the separated method can be obtained, because the subtasks of annotation are interdependent and should be performed together. The method has been applied to expert finding. Experimental results show that the performance of expert finding can be significantly improved by using the profiling method.