Home > Publications database > Interactive Information Extraction based on Distributed Data Management for D-Grid Projects > print

001     134403
005     20210129211645.0
037 _ _ |a FZJ-2013-02602
100 1 _ |a Jäkel, R.
|0 P:(DE-HGF)0
|b 0
|e Corresponding author
111 2 _ |a EGI Community Forum 2012 / EMI Second Technical Conference
|c Munich
|d 2012-03-26 - 2012-03-30
|w Germany
245 _ _ |a Interactive Information Extraction based on Distributed Data Management for D-Grid Projects
250 _ _ |a PoS(EGICF12-EMITC2)
260 _ _ |c 2013
300 _ _ |a 10 p.
336 7 _ |a Contribution to a conference proceedings
|b contrib
|m contrib
|0 PUB:(DE-HGF)8
|s 1369753299_30567
|2 PUB:(DE-HGF)
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a CONFERENCE_PAPER
|2 ORCID
336 7 _ |a Output Types/Conference Paper
|2 DataCite
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a INPROCEEDINGS
|2 BibTeX
490 0 _ |a Proceedings of Science
|v 031
520 _ _ |a The current infrastructure proviced and maintained by the German Grid Initiative (D-Grid) primarily covers resource management and exchange at the data level supporting mainly technical resources such as computational capacity, data transport networks, storage resources, and management software. The WisNetGrid project (www.wisnetgrid.org) aims to broaden the focus of resource sharing towards the actual content, such as research and production data, to enable interdisciplinary usage. To achieve this goal, resource sharing is supported on different abstraction layers. First, we create an information layer by providing a universal interface to access data on the grid independent of the underlying grid storage system. Second, at the knowledge layer, we offer interactive knowledge extraction and management tools that can also take advantage of a community’s grid resources. These tools enable the user to formulate the domain specific knowledge in different ways to ease the interaction with the knowledge extraction process and to provide input for automatic extraction workflow. Within this project, we work together with use groups from the humanities and from landscaping as disparate use cases to evaluate which advantages can be gained by using semi-automatic extraction tools to gather and manage knowledge content.
536 _ _ |a 412 - Grid Technologies and Infrastructures (POF2-412)
|0 G:(DE-HGF)POF2-412
|c POF2-412
|x 0
|f POF II
700 1 _ |a Metzger, Stefan
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Daivandy, Jason Milad
|0 P:(DE-Juel1)132080
|b 2
|u fzj
700 1 _ |a Hose, K.
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Hünich, Denis
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Schenkel, Ralf
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Schuller, Bernd
|0 P:(DE-Juel1)132261
|b 6
|u fzj
856 4 _ |u http://pos.sissa.it/archive/conferences/162/031/EGICF12-EMITC2_031.pdf
909 C O |o oai:juser.fz-juelich.de:134403
|p VDB
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)132080
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)132261
913 2 _ |a DE-HGF
|b Key Technologies
|l Supercomputing & Big Data
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-512
|2 G:(DE-HGF)POF3-500
|v Data-Intensive Science and Federated Computing
|x 0
913 1 _ |a DE-HGF
|b Schlüsseltechnologien
|l Supercomputing
|1 G:(DE-HGF)POF2-410
|0 G:(DE-HGF)POF2-412
|2 G:(DE-HGF)POF2-400
|v Grid Technologies and Infrastructures
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF2
914 1 _ |y 2013
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a contrib
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)JSC-20090406

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21