Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Saša Nešić"'
Publikováno v:
International Journal of Metadata, Semantics and Ontologies 7 (2012) 1
International Journal of Metadata, Semantics and Ontologies, 7(1), 25-36
International Journal of Metadata, Semantics and Ontologies, 7(1), 25-36
Publishing environmental resources to the linked environmental data requires resource publishers to conform to a set of universally recognised linked data principles. These principles, however, do not consider domain-specific semantics that are cruci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d20d70c7f47b8ce03b9a558121730812
https://research.wur.nl/en/publications/publishing-agro-environmental-resources-as-linked-data
https://research.wur.nl/en/publications/publishing-agro-environmental-resources-as-linked-data
Autor:
Reiner Güttler, Luca Petronzio, Gerald Schimak, Sascha Schlobinski, Pascal Dihé, Saša Nešić, Stephen Frysinger, Ralf Denzer, Tomás Pariente Lobo, Jiří Hřebíček, Marcello Donatelli
Publikováno v:
IFIP Advances in Information and Communication Technology
9th International Symposium on Environmental Software Systems (ISESS)
9th International Symposium on Environmental Software Systems (ISESS), Jun 2011, Brno, Czech Republic. pp.372-384, ⟨10.1007/978-3-642-22285-6_41⟩
IFIP Advances in Information and Communication Technology ISBN: 9783642222849
9th International Symposium on Environmental Software Systems (ISESS)
9th International Symposium on Environmental Software Systems (ISESS), Jun 2011, Brno, Czech Republic. pp.372-384, ⟨10.1007/978-3-642-22285-6_41⟩
IFIP Advances in Information and Communication Technology ISBN: 9783642222849
Part 4: Semantics and Environment; International audience; The vision of a Single Information Space in Europe for the Environment (SISE) requires seamless access to environmental resources, including data, models and services. Standardization organiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a71b8b7a9bf68d19d0dbd19cb5196a5b
https://hal.inria.fr/hal-01569237
https://hal.inria.fr/hal-01569237
Publikováno v:
Metadata and Semantic Research ISBN: 9783642247309
MTSR
MTSR
Publishing agro-environmental resources to a linked open data (LOD) cloud requires publishers to adopt a set of universally recognized linked data principles. These principles, along with semantic annotations based on shared domain ontologies can ens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99027ef2815948978d4ed1788e22b674
https://doi.org/10.1007/978-3-642-24731-6_47
https://doi.org/10.1007/978-3-642-24731-6_47
Autor:
Andrea Emilio Rizzoli, Giuseppe Avellino, José María Fuentes, Maria Angeles Sanguino, Sinan Yurtsever, Saša Nešić, Tomas Pariente
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783642222849
ISESS
ISESS
During the past years huge amounts of resources in the environmental domain have been published on the internet. To facilitate search and discovery of relevant data among an ever increasing mass, the use of tags has been suggested. Yet, the use of no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::839b51a6b44ecf5b98ffcfff9157b68f
https://doi.org/10.1007/978-3-642-22285-6_45
https://doi.org/10.1007/978-3-642-22285-6_45
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783642222849
ISESS
ISESS
In recent years we have witnessed a proliferation of environmental information on the Web thanks to advances in automated data acquisition and to the widespread use of computer based models and decision support systems processing environmental data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d29da2868e3632daedd8a56647e2d31
https://doi.org/10.1007/978-3-642-22285-6_44
https://doi.org/10.1007/978-3-642-22285-6_44
Autor:
Saša Nešić
Publikováno v:
Web 2.0 & Semantic Web ISBN: 9781441912183
Web 2.0 & Semantic Web
Web 2.0 & Semantic Web
To enable document data and knowledge to be efficiently shared and reused across application, enterprise, and community boundaries, desktop documents should be completely open and queryable resources, whose data and knowledge are represented in a for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cdc85e4fe203ed1c91792acca0b57a7
https://doi.org/10.1007/978-1-4419-1219-0_6
https://doi.org/10.1007/978-1-4419-1219-0_6
Publikováno v:
Proceedings of the 2nd international workshop on Social software engineering and applications.
Social network services have enabled the increasing sharing of digital content (e.g., images, videos and audios). However, despite the fact that office documents hold a significant amount of users' digital content, office documents have not yet been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcfe965b66a30a4ea84012ee49ecde89
https://doi.org/10.1145/1595836.1595838
https://doi.org/10.1145/1595836.1595838
Publikováno v:
ASE Workshops
Software engineering is a complex socio-technical activity, due to the need for discussing and sharing knowledge among team members. This has raised the need for effective ways of sharing ideas, knowledge, and artifacts among groups and their members
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdf0788dcddca18f1e6153f2c2c45003
https://doi.org/10.1109/asew.2008.4686304
https://doi.org/10.1109/asew.2008.4686304
Publikováno v:
ICWE
In this paper, we present an extension to MS Office that enables users to search and retrieve document content units (e.g., paragraphs, images, tables, slides, etc.) from documents, which are stored on userpsilas individual desktops organized in a pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56a2ee4d319dcc088b8ccac1dd286860
https://doi.org/10.1109/icwe.2008.17
https://doi.org/10.1109/icwe.2008.17
Publikováno v:
ICALT
In this paper, we propose the use of semantic documents as learning objects. The core part of our solution is a semantic document model that allows for unique identification of document content units (CUs) and their annotation with different types of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f447a778cce4a45599fbc183229844b9
https://doi.org/10.1109/icalt.2008.57
https://doi.org/10.1109/icalt.2008.57