dc.contributor.author
Simperl, Elena
dc.contributor.author
Luczak-Rösch, Markus
dc.date.accessioned
2018-06-08T04:08:54Z
dc.date.available
2015-09-17T11:24:12.768Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/16676
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-20857
dc.description.abstract
Building ontologies in a collaborative and increasingly community-driven
fashion has become a central paradigm of modern ontology engineering. This
understanding of ontologies and ontology engineering processes is the result
of intensive theoretical and empirical research within the Semantic Web
community, supported by technology developments such as Web 2.0. Over 6 years
after the publication of the first methodology for collaborative ontology
engineering, it is generally acknowledged that, in order to be useful, but
also economically feasible, ontologies should be developed and maintained in a
community-driven manner, with the help of fully-fledged environments providing
dedicated support for collaboration and user participation. Wikis, and similar
communication and collaboration platforms enabling ontology stakeholders to
exchange ideas and discuss modeling decisions are probably the most important
technological components of such environments. In addition, process-driven
methodologies assist the ontology engineering team throughout the ontology
life cycle, and provide empirically grounded best practices and guidelines for
optimizing ontology development results in real-world projects. The goal of
this article is to analyze the state of the art in the field of collaborative
ontology engineering. We will survey several of the most outstanding
methodologies, methods and techniques that have emerged in the last years, and
present the most popular development environments, which can be utilized to
carry out, or facilitate specific activities within the methodologies. A
discussion of the open issues identified concludes the survey and provides a
roadmap for future research and development in this lively and promising
field.
en
dc.rights.uri
http://journals.cambridge.org/action/displaySpecialPage?pageId=4608
dc.subject.ddc
000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::000 Informatik, Informationswissenschaft, allgemeine Werke
dc.title
Collaborative ontology engineering
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
The Knowledge Engineering Review. - 29 (2014), 1, S. 101-131
dc.title.subtitle
a survey
dcterms.bibliographicCitation.doi
10.1017/S0269888913000192
dcterms.bibliographicCitation.url
http://dx.doi.org/10.1017/S0269888913000192
refubium.affiliation
Mathematik und Informatik
de
refubium.mycore.fudocsId
FUDOCS_document_000000023121
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000005407
dcterms.accessRights.openaire
open access