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Semantic Annotation for Knowledge Management: Requirements and a Survey of the State of the Art
2006
Social Science Research Network
While much of a company's knowledge can be found in text repositories, current content management systems have limited capabilities for structuring and interpreting documents. In the emerging Semantic Web, search, interpretation and aggregation can be addressed by ontology-based semantic mark-up. In this paper, we examine semantic annotation, identify a number of requirements, and review the current generation of semantic annotation systems. This analysis shows that, while there is still some
doi:10.2139/ssrn.3199324
fatcat:s4kabxi2tzhr5hywjoruu3jpt4