Semantic indexing: a case study |
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| Affiliation: | 1. Key Laboratory of Automobile Materials of Ministry of Education, Solid Waste Recycling Engineering Research Center of Jilin Province, Department of Materials Science and Engineering, Jilin University, Jilin 130022, China;2. Department of Basic Sciences, Qinghai University, Xining 810016, China;3. Key Laboratory of Mineral Resources Evaluation in Northeast Asia, Ministry of Land and Resources, Jilin 130061, China |
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| Abstract: | Semantic indexing is a way of coding digital texts and images to represent their associated abstract meanings in database form. Databases encoded in this way enable users to answer complex questions and provide multiple, organized, summary views of their contents. In this article, the author discusses the techniques used in creating a semantically indexed database and provides examples of the utility thereby gained. The author examines the differences between traditional indexing and semantic indexing, and provides insight into the methodology of semantic indexing, using examples. |
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