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International Journal of Human-Computer Studies
Volume 65, Issue 7, July 2007, Pages 624-639
Knowledge representation with ontologies: Present challenges - Future possibilities
 
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doi:10.1016/j.ijhcs.2007.03.008    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2007 Elsevier Ltd All rights reserved.

The semantic-document approach to combining documents and ontologies

Henrik ErikssonCorresponding Author Contact Information, a, E-mail The Corresponding Author

aDepartment of Computer and Information Science, Linköping University, SE-581 83 Linköping, Sweden

Available online 10 April 2007.

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Abstract

An ontology is a powerful way of representing knowledge for multiple purposes. There are several ontology languages for describing concepts, properties, objects, and relationships. However, ontologies in information systems are not primarily written for human reading and communication among humans. For many business, government, and scientific purposes, written documents are the primary description and communication media for human knowledge communication. Unfortunately, there is a significant gap between knowledge expressed as textual documents and knowledge represented as ontologies.

Semantic documents aim at combining documents and ontologies, and allowing users to access the knowledge in multiple ways. By adding annotations to electronic-document formats and including ontologies in electronic documents, it is possible to reconcile documents and ontologies, and to provide new services, such as ontology-based searches of large document databases. To accomplish this goal, semantic documents require tools that support both complex ontologies and advanced document formats. The Protégé ontology editor, together with a custom-tailored documentation-handling extension, enables developers to create semantic documents by linking preexisting documents to ontologies.

Keywords: Document; Ontology; Knowledge representation; Annotation; Metadata

Article Outline

1. Introduction
2. Background
2.1. Semantic web
2.2. Hypertext
2.3. Knowledge management
2.4. Knowledge acquisition through document annotation
2.5. Enhanced documents
3. Semantic documents
3.1. The PDF
3.2. Extensible metadata protocol (XMP)
3.3. Annotations and metadata in PDF
3.4. Integrating document and ontologies
3.5. Tool support for semantic documents
4. Ontology modeling using semantic documents
4.1. Ontology structure
4.2. Development process
5. Applications
5.1. Statistics reports
5.2. Modeling of clinical guidelines
6. Discussion
7. Conclusion
Acknowledgements
References









International Journal of Human-Computer Studies
Volume 65, Issue 7, July 2007, Pages 624-639
Knowledge representation with ontologies: Present challenges - Future possibilities
 
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