Knowledge and Information Systems

, Volume 27, Issue 3, pp 419–450

User-centric query refinement and processing using granularity-based strategies

  • Yi Zeng
  • Ning Zhong
  • Yan Wang
  • Yulin Qin
  • Zhisheng Huang
  • Haiyan Zhou
  • Yiyu Yao
  • Frank van Harmelen
Regular Paper

DOI: 10.1007/s10115-010-0298-8

Cite this article as:
Zeng, Y., Zhong, N., Wang, Y. et al. Knowl Inf Syst (2011) 27: 419. doi:10.1007/s10115-010-0298-8

Abstract

Under the context of large-scale scientific literatures, this paper provides a user-centric approach for refining and processing incomplete or vague query based on cognitive- and granularity-based strategies. From the viewpoints of user interests retention and granular information processing, we examine various strategies for user-centric unification of search and reasoning. Inspired by the basic level for human problem-solving in cognitive science, we refine a query based on retained user interests. We bring the multi-level, multi-perspective strategies from human problem-solving to large-scale search and reasoning. The power/exponential law-based interests retention modeling, network statistics–based data selection, and ontology-supervised hierarchical reasoning are developed to implement these strategies. As an illustration, we investigate some case studies based on a large-scale scientific literature dataset, DBLP. The experimental results show that the proposed strategies are potentially effective.

Keywords

User interests retentionUnifying search and reasoningGranularityStarting pointMulti-level completenessMulti-level specificityMultiple perspectives

Copyright information

© Springer-Verlag London Limited 2010

Authors and Affiliations

  • Yi Zeng
    • 1
  • Ning Zhong
    • 1
    • 2
  • Yan Wang
    • 1
  • Yulin Qin
    • 1
    • 3
  • Zhisheng Huang
    • 4
  • Haiyan Zhou
    • 1
  • Yiyu Yao
    • 1
    • 5
  • Frank van Harmelen
    • 4
  1. 1.International WIC InstituteBeijing University of TechnologyBeijingChina
  2. 2.Department of Life Science and InformaticsMaebashi Institute of TechnologyMaebashiJapan
  3. 3.Department of PsychologyCarnegie Mellon UniversityPittsburghUSA
  4. 4.Department of Computer ScienceVrije Universiteit AmsterdamAmsterdamThe Netherlands
  5. 5.Department of Computer ScienceUniversity of ReginaReginaCanada