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 SemanticWeb, 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 way to go before semantic annotation tools will be able to address fully all the knowledge management needs, research in the area is active and making good progress. (c) 2005 Elsevier B. V. All rights reserved.
%0 Journal Article
%1 Uren_et_al_2006
%A Uren, Victoria
%A Cimiano, Philipp
%A Iria, Jose
%A Handschuh, Siegfried
%A Vargas-Vera, Maria
%A Motta, Enrico
%A Ciravegna, Fabio
%D 2006
%J Journal of Web Semantics
%K my_thesis semantic_annotation survey
%N 1
%P 14--28
%R DOI 10.1016/j.websem.2005.10.002
%T Semantic annotation for knowledge management: Requirements and a survey of the state of the art
%V 4
%X 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 SemanticWeb, 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 way to go before semantic annotation tools will be able to address fully all the knowledge management needs, research in the area is active and making good progress. (c) 2005 Elsevier B. V. All rights reserved.
@article{Uren_et_al_2006,
abstract = {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 {SemanticWeb,} 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 way to go before semantic annotation tools will be able to address fully all the knowledge management needs, research in the area is active and making good progress. (c) 2005 Elsevier B. V. All rights reserved.},
added-at = {2011-01-04T17:52:52.000+0100},
author = {Uren, Victoria and Cimiano, Philipp and Iria, Jose and Handschuh, Siegfried and Vargas-Vera, Maria and Motta, Enrico and Ciravegna, Fabio},
biburl = {https://www.bibsonomy.org/bibtex/2acba6f0d3639d9f5113160051bc302dd/bluedolphin},
doi = {{DOI} 10.1016/j.websem.2005.10.002},
interhash = {467a510046215757252332f199733655},
intrahash = {acba6f0d3639d9f5113160051bc302dd},
issn = {1570-8268},
journal = {Journal of Web Semantics},
keywords = {my_thesis semantic_annotation survey},
number = 1,
pages = {14--28},
timestamp = {2011-06-10T09:14:55.000+0200},
title = {Semantic annotation for knowledge management: Requirements and a survey of the state of the art},
volume = 4,
year = 2006
}