The DOI matches its Crossref record.
INFORMATION RETRIEVAL BASED ON CONCEPTUAL DISTANCE IN IS‐A HIERARCHIES
Abstract
There have been several document ranking methods to calculate the conceptual distance or closeness between a Boolean query and a document. Though they provide good retrieval effectiveness in many cases, they do not support effective weighting schemes for queries and documents and also have several problems resulting from inappropriate evaluation of Boolean operators. We propose a new method called Knowledge‐Based Extended Boolean Model (kb‐ebm) in which Salton's extended Boolean model is incorporated. kb‐ebm evaluates weighted queries and documents effectively, and avoids the problems of the previous methods. kb‐ebm provides high quality document rankings by using term dependence information from is‐a hierarchies The performance experiments show that the proposed method closely simulates human behaviour.
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Cited by
Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy
Jiang, J. J., & Conrath, D. W. (1997) · arXiv (Cornell University) · doi:10.48550/arxiv.cmp-lg/9709008 · Cited by 2,743
Harispe, S., Sánchez, D., Ranwez, S., Janaqi, S., & Montmain, J. (2014) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2013.11.006 · Cited by 142
Metadata
- Authors
- HO LEE, J., HO KIM, M., & JOON LEE, Y.
- Venue
- Journal of Documentation
- Publisher
- Emerald
- Published
- 1993-02-01
- Volume
- 49
- Issue
- 2
- Pages
- 188-207
- ISSN
- 0022-0418 (ISSN-L)
- OpenAlex
- W2082889357
- Cited by
- 276
- References
- 0
- FWCI
- 9.02
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: INFORMATION RETRIEVAL BASED ON CONCEPTUAL DISTANCE IN IS‐A HIERARCHIES. https://app.cochat.ai/papers/10.1108/eb026913
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- HO LEE, J., HO KIM, M., & JOON LEE, Y. (1993). INFORMATION RETRIEVAL BASED ON CONCEPTUAL DISTANCE IN IS‐A HIERARCHIES. Journal of Documentation. https://doi.org/10.1108/eb026913
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
