The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
OntoSeek: content-based access to the Web
Abstract
For online yellow pages and product catalogs, structured content representations coupled with linguistic ontologies can increase both recall and precision of content based retrieval. Our OntoSeek system adopts a language of limited expressiveness for content representation and uses a large ontology based on WordNet for content matching. WordNet is a linguistic database formed by synsets-terms grouped into semantic equivalence sets, each one assigned to a lexical category (noun, verb, adverb, adjective). Each synset represents a particular sense of an English word and is usually expressed as a unique combination of synonymous words.
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Citations
Cites
WordNet: a lexical database for English
Miller, G. A. (1995) · Communications of the ACM · doi:10.1145/219717.219748 · Cited by 14,015
Cited by
Determining semantic similarity among entity classes from different ontologies
Rodriguez, M. A., & Egenhofer, M. J. (2003) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2003.1185844 · Cited by 890
Personalized Search Based on User Search Histories
Speretta, M., & Gauch, S. (2005) · The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05) · doi:10.1109/wi.2005.114 · Cited by 384
Metadata
- Authors
- Guarino, N., Masolo, C., & Vetere, G.
- Venue
- IEEE Intelligent Systems
- Published
- 1999-05
- Volume
- 14
- Issue
- 3
- Pages
- 70-80
- ISSN
- 1094-7167 (ISSN-L)
- OpenAlex
- W2035758533
- Cited by
- 552
- References
- 1
- FWCI
- 34.99
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: OntoSeek: content-based access to the Web. https://app.cochat.ai/papers/10.1109/5254.769887
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- Guarino, N., Masolo, C., & Vetere, G. (1999). OntoSeek: content-based access to the Web. IEEE Intelligent Systems. https://doi.org/10.1109/5254.769887
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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.
