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Ontology-driven document enrichment: principles, tools and applications
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DOI：10.1006/ijhc.2000.0384.png)
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Abstract
En 中文
In this paper, we present an approach to document enrichment, which consists of developing and integrating formal knowledge models with archives of documents, to provide intelligent knowledge retrieval and (possibly) additional knowledge-intensive services, beyond what is currently available using standard information retrieval and search facilities. Our approach is ontology-driven, in the sense that the construction of the knowledge model is carried out in a top-down fashion, by populating a given ontology, rather than in a bottom-up fashion, by annotating a particular document. In this paper, we give an overview of the approach and we examine the various types of issues (e.g. modelling, organizational and user interface issues) which need to be tackled to effectively deploy our approach in the workplace. In addition, we also discuss a number of technologies we have developed to support ontology-driven document enrichment and we illustrate our ideas in the domains of electronic news publishing, scholarly discourse and medical guidelines. (C) 2000 Academic Press.
Keywords:
semantic web
ontologies
knowledge modelling
digital documents
document retrieval
intelligent news servers
scholarly discourse
medical informatics
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