Semantic annotation for knowledge management: requirements and a survey of the state of the art

Victoria Uren, Philipp Cimiano, José Iria, Siegfried Handschuh, Maria Vargas-Vera, Enrico Motta, Fabio Ciravegna

Research output: Contribution to journalArticle

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 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 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.
Original languageEnglish
Pages (from-to)14-28
Number of pages15
JournalJournal of Web Semantics
Volume4
Issue number1
DOIs
Publication statusPublished - Jan 2006

Fingerprint

Knowledge management
Semantics
Semantic Web
Ontology
Agglomeration
Industry

Cite this

Uren, Victoria ; Cimiano, Philipp ; Iria, José ; Handschuh, Siegfried ; Vargas-Vera, Maria ; Motta, Enrico ; Ciravegna, Fabio. / Semantic annotation for knowledge management : requirements and a survey of the state of the art. In: Journal of Web Semantics. 2006 ; Vol. 4, No. 1. pp. 14-28.
@article{320505688fa245a78cf8ac3e02541164,
title = "Semantic annotation for knowledge management: requirements and a survey of the state of the art",
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 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 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.",
author = "Victoria Uren and Philipp Cimiano and Jos{\'e} Iria and Siegfried Handschuh and Maria Vargas-Vera and Enrico Motta and Fabio Ciravegna",
year = "2006",
month = "1",
doi = "10.1016/j.websem.2005.10.002",
language = "English",
volume = "4",
pages = "14--28",
journal = "Journal of Web Semantics",
issn = "1570-8268",
publisher = "Elsevier",
number = "1",

}

Uren, V, Cimiano, P, Iria, J, Handschuh, S, Vargas-Vera, M, Motta, E & Ciravegna, F 2006, 'Semantic annotation for knowledge management: requirements and a survey of the state of the art', Journal of Web Semantics, vol. 4, no. 1, pp. 14-28. https://doi.org/10.1016/j.websem.2005.10.002

Semantic annotation for knowledge management : requirements and a survey of the state of the art. / Uren, Victoria; Cimiano, Philipp; Iria, José; Handschuh, Siegfried; Vargas-Vera, Maria; Motta, Enrico; Ciravegna, Fabio.

In: Journal of Web Semantics, Vol. 4, No. 1, 01.2006, p. 14-28.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Semantic annotation for knowledge management

T2 - requirements and a survey of the state of the art

AU - Uren, Victoria

AU - Cimiano, Philipp

AU - Iria, José

AU - Handschuh, Siegfried

AU - Vargas-Vera, Maria

AU - Motta, Enrico

AU - Ciravegna, Fabio

PY - 2006/1

Y1 - 2006/1

N2 - 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 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.

AB - 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 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.

U2 - 10.1016/j.websem.2005.10.002

DO - 10.1016/j.websem.2005.10.002

M3 - Article

VL - 4

SP - 14

EP - 28

JO - Journal of Web Semantics

JF - Journal of Web Semantics

SN - 1570-8268

IS - 1

ER -