Abstract
We propose the perception index (PI) that contains attributes associated with a focal keyword restricted by fuzzy term(s) used in fuzzy queries on the Internet. The PI assists the user to reflect his/her perception in the process of query. If we integrate the document index (DI) used in commercial Web search engines with the proposed PI, we can handle both crisp terms (keyword-based) and fuzzy terms (perception-based). In this respect, the proposed approach is softer than the keyword-based approach. The PI brings somewhat closer to natural language. It is a further step toward a real human-friendly, natural language-based interface for Internet. It should greatly help the user relatively easily retrieve relevant information.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Choi, DY. Integration of document index with perception index. Soft Computing 6, 300–307 (2002). https://doi.org/10.1007/s00500-002-0183-9
Issue Date:
DOI: https://doi.org/10.1007/s00500-002-0183-9