From Kolflow Project
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Revision as of 14:39, 17 March 2012
Meeting description
Name : Second meeting
Description :
Start Date : 2012-03-22T09:30:00
End Date : 2012-03-23T15:30:00
Laboratory : INRIA
Location : SOPHIA
General information
Slides and talks can be made either in French or in English
Location
Plus d'informations : https://www-sop.inria.fr/teams/edelweiss/wiki/wakka.php?wiki=HowToCome
Detailed Schedule
Thu 22
- 9:00-10:00 Task1 Coordination, GDD (Project coordination)
- Discussion on status of deliverables:
| Id |
deadline |
task |
number |
title |
| D11 |
00 |
Task1 |
1.1 |
kick off meeting |
| D12 |
33 |
Task1 |
1.2 |
creation and continuous updates |
| D21 |
66 |
Task21 |
2.1 |
Building a corpus for experimenting continuous knowledge extraction. |
| D41 |
66 |
Task4 |
4.1 |
State of the art on the different topics addressed in this task |
| D51 |
66 |
Task5 |
5.1 |
State of the art on the three topics studied (Distributed Semantic Wikis, distributed querying distributed alter-ego assistant), |
| D61 |
66 |
Task6 |
6.1 |
Man-machine collaboration scenarios |
| D42 |
1010 |
Task4 |
4.2 |
Algorithm to explain basic query mechanisms |
| D13 |
1212 |
Task1 |
1.3 |
Yearly workshop 1 |
| D22 |
1212 |
Task22 |
2.2 |
Integrating a knowledge extraction system from texts in a semantic wiki. methodology, modules, and experiments. |
| D31 |
1212 |
Task3 |
3.1 |
algorithms and architecture of the interactive semantic inconsistency managing system |
| D52 |
1212 |
Task5 |
5.2 |
Many semantic web applications integrate data from distributed triple stores and to be efficient, they need to know what kind of content each triple store holds in order to assess if it can contribute to its queries. We present an algorithm to build indexes summarizing the content of triple stores. We extended Depth-First Search coding to provide a canonical representation of RDF graphs and we introduce a new join operator between two graph codes to optimize the generation of an index. We provide an incremental update algorithm and conclude with tests on real datasets. |
| D62 |
1212 |
Task6 |
6.2 |
Man-machine collaboration scenarios progress report |
- 10:00-10:30 Coffee Break (Salle TD1)
- 10:30-12:30 Task6 Scenarios and Evaluations, GDD (project evaluation)
- Discussion on status of deliverables:
- 12:30-14:30 Lunch (Domus)
- 14:30-16:00 Task4 Traces and explanations: documenting inferences, query solving and interactions, Wimmics (Design and experiment tracing and explanation approaches)
- Discussion on status of deliverables:
- 16:00-16:30 Coffee Break (Salle TD1)
- 16:30-18:30 Task5 Social semantic space, Silex (Design and experiment of a social semantic space)
- Discussion on status of deliverables:
| Id |
deadline |
task |
number |
title |
| D51 |
66 |
Task5 |
5.1 |
State of the art on the three topics studied (Distributed Semantic Wikis, distributed querying distributed alter-ego assistant), |
| D52 |
1212 |
Task5 |
5.2 |
Many semantic web applications integrate data from distributed triple stores and to be efficient, they need to know what kind of content each triple store holds in order to assess if it can contribute to its queries. We present an algorithm to build indexes summarizing the content of triple stores. We extended Depth-First Search coding to provide a canonical representation of RDF graphs and we introduce a new join operator between two graph codes to optimize the generation of an index. We provide an incremental update algorithm and conclude with tests on real datasets. |
Fri 23
- 10:00-10:30 Coffee Break (Salle TD1)
- 10:30-11:30 Task3 Inferences and Interactions for dealing with Semantic Inconsistencies, Orpailleur (Design and experiment strategies for dealing with Semantic Inconsistencies)
- Discussion on status of deliverables:
- 11:30-12:30 Task2 Continuous extraction, edition, and annotation, Orpailleur (extracting knowledge units from texts using data mining)
- Discussion on status of deliverables:
| Id |
deadline |
task |
number |
title |
| D21 |
66 |
Task21 |
2.1 |
Building a corpus for experimenting continuous knowledge extraction. |
| D22 |
1212 |
Task22 |
2.2 |
Integrating a knowledge extraction system from texts in a semantic wiki. methodology, modules, and experiments. |
- 12:30-14:30 Lunch (Domus)
- 15:30 Coffee Break & End of the day (Salle TD1)
