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Conference Paper

Interactive Information Extraction based on Distributed Data Management for German Grid Projects

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45032

Metzger,  Steffen
Databases and Information Systems, MPI for Informatics, Max Planck Society;
International Max Planck Research School, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44645

Hose,  Katja
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45380

Schenkel,  Ralf
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Citation

Jäkel, R., Metzger, S., Daivandy, J. M., Hose, K., Hünich, D., Schenkel, R., et al. (2012). Interactive Information Extraction based on Distributed Data Management for German Grid Projects. In EGI Community Forum 2012 / EMI Second Technical Conference (pp. 1-10). Trieste, Italy: Proceedings of Science.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0014-59C2-0
Abstract
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.