Motta, Enrico; Buckingham Shum, Simon and Domingue, John
Ontology-driven document enrichment: principles, tools and applications.
International Journal of Human-Computer Studies, 52(6) pp. 1071–1109.
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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.
||2000 Academic Press
|Project Funding Details:
|Funded Project Name||Project ID||Funding Body|
|Not Set||Not Set||Enrich [P29015]|
|Not Set||Not Set||PatMan [P4017]|
||semantic web; ontologies; knowledge modelling; digital documents; document retrieval; intelligent news servers; scholarly discourse; medical informatics
||Knowledge Media Institute
|Interdisciplinary Research Centre:
||Centre for Research in Computing (CRC)
||28 Mar 2011 09:00
||24 Feb 2016 04:47
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