000134403 001__ 134403
000134403 005__ 20210129211645.0
000134403 037__ $$aFZJ-2013-02602
000134403 1001_ $$0P:(DE-HGF)0$$aJäkel, R.$$b0$$eCorresponding author
000134403 1112_ $$aEGI Community Forum 2012 / EMI Second Technical Conference$$cMunich$$d2012-03-26 - 2012-03-30$$wGermany
000134403 245__ $$aInteractive Information Extraction based on Distributed Data Management for D-Grid Projects
000134403 250__ $$aPoS(EGICF12-EMITC2)
000134403 260__ $$c2013
000134403 300__ $$a10 p.
000134403 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1369753299_30567
000134403 3367_ $$033$$2EndNote$$aConference Paper
000134403 3367_ $$2ORCID$$aCONFERENCE_PAPER
000134403 3367_ $$2DataCite$$aOutput Types/Conference Paper
000134403 3367_ $$2DRIVER$$aconferenceObject
000134403 3367_ $$2BibTeX$$aINPROCEEDINGS
000134403 4900_ $$aProceedings of Science  $$v031
000134403 520__ $$aThe current infrastructure proviced and maintained by the German Grid Initiative (D-Grid) primarily covers resource management and exchange at the data level supporting mainly technical  resources such as computational capacity, data transport networks, storage resources, and management software. The WisNetGrid project (www.wisnetgrid.org) aims to broaden the focus of  resource sharing towards the actual content, such as research and production data, to enable interdisciplinary usage. To achieve this goal, resource sharing is supported on different abstraction  layers. First, we create an information layer by providing a universal interface to access data on  the grid independent of the underlying grid storage system. Second, at the knowledge layer, we  offer interactive knowledge extraction and management tools that can also take advantage of a  community’s grid resources. These tools enable the user to formulate the domain specific knowledge in different ways to ease the interaction with the knowledge extraction process and to provide  input for automatic extraction workflow. Within this project, we work together with use groups  from the humanities and from landscaping as disparate use cases to evaluate which advantages  can be gained by using semi-automatic extraction tools to gather and manage knowledge content.
000134403 536__ $$0G:(DE-HGF)POF2-412$$a412 - Grid Technologies and Infrastructures (POF2-412)$$cPOF2-412$$fPOF II$$x0
000134403 7001_ $$0P:(DE-HGF)0$$aMetzger, Stefan$$b1
000134403 7001_ $$0P:(DE-Juel1)132080$$aDaivandy, Jason Milad$$b2$$ufzj
000134403 7001_ $$0P:(DE-HGF)0$$aHose, K.$$b3
000134403 7001_ $$0P:(DE-HGF)0$$aHünich, Denis$$b4
000134403 7001_ $$0P:(DE-HGF)0$$aSchenkel, Ralf$$b5
000134403 7001_ $$0P:(DE-Juel1)132261$$aSchuller, Bernd$$b6$$ufzj
000134403 8564_ $$uhttp://pos.sissa.it/archive/conferences/162/031/EGICF12-EMITC2_031.pdf
000134403 909CO $$ooai:juser.fz-juelich.de:134403$$pVDB
000134403 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132080$$aForschungszentrum Jülich GmbH$$b2$$kFZJ
000134403 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132261$$aForschungszentrum Jülich GmbH$$b6$$kFZJ
000134403 9132_ $$0G:(DE-HGF)POF3-512$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$aDE-HGF$$bKey Technologies$$lSupercomputing & Big Data $$vData-Intensive Science and Federated Computing$$x0
000134403 9131_ $$0G:(DE-HGF)POF2-412$$1G:(DE-HGF)POF2-410$$2G:(DE-HGF)POF2-400$$3G:(DE-HGF)POF2$$4G:(DE-HGF)POF$$aDE-HGF$$bSchlüsseltechnologien$$lSupercomputing$$vGrid Technologies and Infrastructures$$x0
000134403 9141_ $$y2013
000134403 920__ $$lyes
000134403 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
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