Difference between revisions of "Trip Report: D-Grid Hands on"
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Participants MPDL: Malte, Wolfgang, Ulla | Participants MPDL: Malte, Wolfgang, Ulla | ||
Summary of impressions | === Summary of impressions === | ||
==== "D-Grid - Millionengrad oder Erfolgsgeschichte? ==== | |||
Critical opening statement by BMBF (H. Loewe), which states deficiencies in: | Critical opening statement by BMBF (H. Loewe), which states deficiencies in: | ||
* exchange/cooperations between middleware grids and service grids | |||
* sustainable business models, illustrative usage scenarios for benefits | |||
* integration/connex of "Wissensmanagement"-Projekte (e.g. eSciDoc) and D-Grid unclear | |||
==== Keynote Tony Hey, Microsoft Research ==== | |||
useful overview on eScience background/motivation | useful overview on eScience background/motivation | ||
Microsoft viewpoint => future research needs in eScience (infrastructure and applications) | Microsoft viewpoint => future research needs in eScience (infrastructure and applications) | ||
** upload/buy storage of data on thwe web | ** upload/buy storage of data on thwe web | ||
** data processing / compute on demand | ** data processing / compute on demand | ||
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** lab notebook as blog entry | ** lab notebook as blog entry | ||
==== Workshop on "Data" ==== | |||
several presentations on data management tools/engines/languages. | several presentations on data management tools/engines/languages. | ||
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I was hoping for discussions on content/data types and structures, but that was not in the focus. | I was hoping for discussions on content/data types and structures, but that was not in the focus. | ||
==== Workshop on "Knowledge" ==== | |||
several presentations on projects which are connecting the d-grid infrastructure and the on-top "Wissensschicht"/knowledge layer projects. | several presentations on projects which are connecting the d-grid infrastructure and the on-top "Wissensschicht"/knowledge layer projects. | ||
| Line 42: | Line 44: | ||
shared infrastructure, re-use of data and services, semantic enrichment of data and services. | shared infrastructure, re-use of data and services, semantic enrichment of data and services. | ||
** focus knowledge layer: re-use, enrichment, provision of data | ** focus knowledge layer: re-use, enrichment, provision of data | ||
** call for demonstration projects and community-driven improvements | ** call for demonstration projects and community-driven improvements | ||
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*** Wissensvermittlung/transfer of knowledge | *** Wissensvermittlung/transfer of knowledge | ||
==== Presentation of projects "Wissensmanagement/Wissensvernetzung" ===== | |||
was the most interesting afternoon for me... | was the most interesting afternoon for me... | ||
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** wikinger: algorithms for recognition of named entities (persons, organisation, products, locations). semi-automatic generation of semantical relations between entities | ** wikinger: algorithms for recognition of named entities (persons, organisation, products, locations). semi-automatic generation of semantical relations between entities | ||
==== High prios for future D-Grid activities ==== | |||
sustainability, support, AAI/VO, legal issues, develop/improve their business models to prove sustainability (Nachhaltigkeit) and user-centered service level definitions | sustainability, support, AAI/VO, legal issues, develop/improve their business models to prove sustainability (Nachhaltigkeit) and user-centered service level definitions | ||
Revision as of 17:22, 14 September 2007
Event: D-Grid All Hands Meeting
Goettingen, 10-12th sept 2007
For presentations, please check Agenda...should be updated in next weeks
Participants MPDL: Malte, Wolfgang, Ulla
Summary of impressions[edit]
"D-Grid - Millionengrad oder Erfolgsgeschichte?[edit]
Critical opening statement by BMBF (H. Loewe), which states deficiencies in:
- exchange/cooperations between middleware grids and service grids
- sustainable business models, illustrative usage scenarios for benefits
- integration/connex of "Wissensmanagement"-Projekte (e.g. eSciDoc) and D-Grid unclear
Keynote Tony Hey, Microsoft Research[edit]
useful overview on eScience background/motivation
Microsoft viewpoint => future research needs in eScience (infrastructure and applications)
- upload/buy storage of data on thwe web
- data processing / compute on demand
- visualisation!
- MASH-UPs
- digital preservation
- new forms/tpyes of review/reputation/influence
- "Live documents" (RSS feeds, blog entries, comments, annotations => publication not static but living)
- tagging for researcher
- lab notebook as blog entry
Workshop on "Data"[edit]
several presentations on data management tools/engines/languages.
I was hoping for discussions on content/data types and structures, but that was not in the focus.
Workshop on "Knowledge"[edit]
several presentations on projects which are connecting the d-grid infrastructure and the on-top "Wissensschicht"/knowledge layer projects.
- same needs between eScience and d-grid projects:
shared infrastructure, re-use of data and services, semantic enrichment of data and services.
- focus knowledge layer: re-use, enrichment, provision of data
- call for demonstration projects and community-driven improvements
- topics presented:
- daten lebenszyklus management (data curation )
- service infrastructure: link services, semantic description of services, register services, make them re-usable
- Wissensvermittlung/transfer of knowledge
Presentation of projects "Wissensmanagement/Wissensvernetzung" =[edit]
was the most interesting afternoon for me...
- hyperImage: Cmopare images and semantic of images => supports discourse on specific image details. HyperImage Editor allows marking details in the image, link to other details, automatic indexes, links (no semantic enrichment on type of relation), concordances (images in their context).
- ontoverse: tool to conceptualize, cooperatively develop ontologies, support of different phases of ontology development, incl kind of quality assurance. currently domain of bio-informatics
- stemnet: create relations between unstructured freetext (= article) and structured data, using technologies for semantic interoperability. morphosyntactic analysis of text data => recognize text entities and classify them, normalize text entities based on structured ressources like databases and ontologies, support non-conventional search patterns, support visualisation of semantical metadata.
- wikinger: algorithms for recognition of named entities (persons, organisation, products, locations). semi-automatic generation of semantical relations between entities
High prios for future D-Grid activities[edit]
sustainability, support, AAI/VO, legal issues, develop/improve their business models to prove sustainability (Nachhaltigkeit) and user-centered service level definitions