Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Sung-Kwon Yang"'
Publikováno v:
Semantic Technology ISBN: 9783030414061
JIST
JIST
In vivo experiments have had a great impact on the development of biomedicine, and as a result, a variety of biomedical data is produced and provided to researchers. Standardization and ontology design were carried out for the systematic management a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39dc93bfa8f9667cebe913117a0a7d17
https://doi.org/10.1007/978-3-030-41407-8_16
https://doi.org/10.1007/978-3-030-41407-8_16
Publikováno v:
Semantic Technology ISBN: 9783030042837
JIST
JIST
To understand biological phenomena, biologists have identified the interactions between biological molecules in vivo. Until recently, all of the unique and interactive information of such molecules has been built into a database and made available on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b7b5e02b9ddb6b952800d58ff76786f
https://doi.org/10.1007/978-3-030-04284-4_28
https://doi.org/10.1007/978-3-030-04284-4_28
Publikováno v:
Journal of the Korean Society for information Management. 26:215-230
We propose semantic model that is possible to apply for the bibliographic metadata of domestic digital library by analysing bibliographic metadata models like MARC, DC, MODS, JeromeDL`s metadata model MarcOnt as the representative case of semantic di
Dynamic generation of concepts hierarchies for knowledge discovering in bio-medical linked data sets
Publikováno v:
ICUIMC
Since most bio-medical Linked Data Sets are simply extracted from the Relational database, lots of them are lack of ontology or concept hierarchy structure for user better understanding the data sets. This problem also limited usage of bio-medical Li
Publikováno v:
The Semantic Web ISBN: 9783642299223
JIST
JIST
For new data supplier who wants to join the web of data club, it's difficult to find new links between local repository and data sets in the web of data to make local data well-connected or harmonize with other data. The purpose of this research is n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98a97d6ffaad0156914a183a3159d144
https://doi.org/10.1007/978-3-642-29923-0_25
https://doi.org/10.1007/978-3-642-29923-0_25
Publikováno v:
Proceedings of the Annual International Conference on Enterprise Resource Planning & Supply Chain Management ; Proceedings of the Annual International Conference on Web Technologies & Internet Applications & Proceedings of the Annual International Conference on Social Computing and Behavioral Modelling.
Publikováno v:
Proceedings of the Annual International Conference on Enterprise Resource Planning & Supply Chain Management ; Proceedings of the Annual International Conference on Web Technologies & Internet Applications & Proceedings of the Annual International Conference on Social Computing and Behavioral Modelling.
Publikováno v:
The Semantic Web ISBN: 9783540897033
ASWC
ASWC
Annotated data play an important role in enhancing the usability of information resources. Single users can be easily frustrated by the task of annotating. Collaborative approaches to annotation have been applied to web resources, but have not yet be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2b22e3928c89b9c119019df3287abe1
https://doi.org/10.1007/978-3-540-89704-0_19
https://doi.org/10.1007/978-3-540-89704-0_19
Publikováno v:
Agent and Multi-Agent Systems: Technologies and Applications ISBN: 9783540785811
KES-AMSTA
KES-AMSTA
Tagging has proven to be a successful and efficient way for creating metadata through a human collective intelligence. It can be considered not only an application of individuals for expressing one's interests, but also as a starting point for levera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea0b063fd62fbd05b6145a01219a8857
https://doi.org/10.1007/978-3-540-78582-8_9
https://doi.org/10.1007/978-3-540-78582-8_9
Publikováno v:
IAT
In this paper we describe the SCOT Exporter and its algorithms to create instance data based on the SCOT (Social Semantic Cloud of Tags) ontology for sharing and reusing tag data. The algorithms use tag frequencies and co-occurrence relations to repr