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Line 8: |
Line 8: |
| | | |
| Attending: | | Attending: |
- | * Nantes: Pascal Molli, Luis Ibanez, Diego Torres (by visio), Hala Skaf (by visio) | + | * Nantes: Pascal Molli, Luis Ibanez, Hala Skaf (by visio) |
- | * Nancy: Alice Hermann, Jean Lieber (at Lyon), Yannick and My Thao (by visio) | + | * Nancy: My Thao, Yannick (by visio) |
- | * Lyon: Amélie Cordier, Pierre-Antoine Champin, | + | * Lyon: None |
- | * Nice: Olivier Corby, Rakeb Hasan, Fabien on 8 | + | * Nice: Olivier Corby, Rakeb Hasan, Fabien on 22 |
| | | |
| == Locations == | | == Locations == |
| | | |
- | * '''Meeting Address :''' Bâtiment Nautibus. Salle C1 le jeudi, Salle C2 le vendredi. | + | * '''Meeting Address : |
- | | + | Plus d'informations : https://www-sop.inria.fr/teams/edelweiss/wiki/wakka.php?wiki=HowToCome |
- | Plan d'accès : http://fst-informatique.univ-lyon1.fr/departement/acces-et-plans/
| + | |
| | | |
| | | |
Line 23: |
Line 22: |
| | | |
| | | |
- | === Thurday 7 : === | + | === Thurday 22 : === |
| | | |
| * '''9:00-10:00''' [[Task1]] {{#ask: [[Task1]] | ?Task_title= | format=list}}, '''{{#ask: [[Task1]] | ?Task_responsible= | ?Task_activities= | format=list}}''' | | * '''9:00-10:00''' [[Task1]] {{#ask: [[Task1]] | ?Task_title= | format=list}}, '''{{#ask: [[Task1]] | ?Task_responsible= | ?Task_activities= | format=list}}''' |
| | | |
| {{#ask: | | {{#ask: |
- | [[Category:Deliverable]] [[Deliverable task::!Task1]] [[Deliverable deadline::>15]][[Deliverable deadline::<36]] | + | [[Category:Deliverable]] [[Deliverable task::!Task1]] [[Deliverable deadline::>15]][[Deliverable deadline::<48]] |
| |mainlabel=Id | | |mainlabel=Id |
| |?Deliverable deadline= deadline | | |?Deliverable deadline= deadline |
Line 48: |
Line 47: |
| *# Discussion on status of deliverables (maximum : 15 minutes) : | | *# Discussion on status of deliverables (maximum : 15 minutes) : |
| {{#ask: | | {{#ask: |
- | [[Category:Deliverable]] [[Deliverable task::Task3]] [[Deliverable deadline::>15]][[Deliverable deadline::<36]] | + | [[Category:Deliverable]] [[Deliverable task::Task3]] [[Deliverable deadline::>15]][[Deliverable deadline::<48]] |
| |mainlabel=Id | | |mainlabel=Id |
| |?Deliverable deadline= deadline | | |?Deliverable deadline= deadline |
Line 69: |
Line 68: |
| *# Discussion on status of deliverables: | | *# Discussion on status of deliverables: |
| {{#ask: | | {{#ask: |
- | [[Category:Deliverable]] [[Deliverable task::Task6]] [[Deliverable deadline::>15]][[Deliverable deadline::<36]] | + | [[Category:Deliverable]] [[Deliverable task::Task6]] [[Deliverable deadline::>15]][[Deliverable deadline::<48]] |
| |mainlabel=Id | | |mainlabel=Id |
| |?Deliverable deadline= deadline | | |?Deliverable deadline= deadline |
Line 89: |
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| *# Discussion on status of deliverables: | | *# Discussion on status of deliverables: |
| {{#ask: | | {{#ask: |
- | [[Category:Deliverable]] [[Deliverable task::Task2||Task21||Task22||Task23]] [[Deliverable deadline::>15]][[Deliverable deadline::<36]] | + | [[Category:Deliverable]] [[Deliverable task::Task2||Task21||Task22||Task23]] [[Deliverable deadline::>15]][[Deliverable deadline::<48]] |
| |mainlabel=Id | | |mainlabel=Id |
| |?Deliverable deadline= deadline | | |?Deliverable deadline= deadline |
Line 111: |
Line 110: |
| *# Discussion on status of deliverables: | | *# Discussion on status of deliverables: |
| {{#ask: | | {{#ask: |
- | [[Category:Deliverable]] [[Deliverable task::Task5]] [[Deliverable deadline::>15]][[Deliverable deadline::<36]] | + | [[Category:Deliverable]] [[Deliverable task::Task5]] [[Deliverable deadline::>15]][[Deliverable deadline::<48]] |
| |mainlabel=Id | | |mainlabel=Id |
| |?Deliverable deadline= deadline | | |?Deliverable deadline= deadline |
Line 132: |
Line 131: |
| # Discussion on status of deliverables: | | # Discussion on status of deliverables: |
| {{#ask: | | {{#ask: |
- | [[Category:Deliverable]] [[Deliverable task::Task4]] [[Deliverable deadline::>15]][[Deliverable deadline::<36]] | + | [[Category:Deliverable]] [[Deliverable task::Task4]] [[Deliverable deadline::>15]][[Deliverable deadline::<48]] |
| |mainlabel=Id | | |mainlabel=Id |
| |?Deliverable deadline= deadline | | |?Deliverable deadline= deadline |
Id |
deadline |
task |
number |
title |
delivered |
D43 |
1515 |
Task4 |
4.3 |
Algorithm to provide performance and errors indicators |
1true |
D23 |
1818 |
Task23 |
2.3 |
Specification of a continuous knowledge extraction system |
1true |
D44 |
1818 |
Task4 |
4.4 |
Test and evaluation of the alter ego assistant with regard to the scenarios |
1true |
D53 |
1818 |
Task5 |
5.3 |
Algorithms and architecture for a distributed semantic wiki and a distributed alter-ego assistant |
1true |
D45 |
2020 |
Task4 |
4.5 |
Algorithm to explain ontology-based processing |
1true |
D32 |
2424 |
Task3 |
3.2 |
prototype and tests of the interactive semantic inconsistency managing system |
1true |
D63 |
2424 |
Task6 |
6.3 |
Man-machine collaboration scenarios progress report |
1true |
D46 |
2626 |
Task4 |
4.6 |
Algorithm to suggest queries and changes to queries |
1true |
D54 |
2828 |
Task5 |
5.4 |
Algorithm to distribute query-solving |
1true |
D55 |
3434 |
Task5 |
5.5 |
Algorithm to explain and document the distributed solving, Process language and machine for man-machine coordination |
1true |
D25 |
3636 |
Task23 |
2.5 |
Continuous extraction, edition and annotation in a semantic wiki ; report advances on this task at the end of the project. |
1true |
D24 |
3636 |
Task24 |
2.4 |
Dynamic semantic annotation in a semantic wiki: definitions and specifications |
1true |
D33 |
3636 |
Task3 |
3.3 |
prototype of the extension integrating management of ”human-machine” and ”logical” inconsistencies |
1true |
D56 |
3636 |
Task5 |
5.6 |
Algorithm adapted to conflict detection |
|
D57 |
3636 |
Task5 |
5.7 |
Test and evaluation according to the project scenarios |
1true |
D64 |
3636 |
Task6 |
6.4 |
Man-machine collaboration scenarios progress report |
1true |
Title: Predicting SPARQL query execution time and suggesting SPARQL queries based on query history
In this talk we first discuss the problem of predicting SPARQL query execution time. Accurately predicting query execution time enables effective workload management, query scheduling, and query optimization. We use machine learning techniques to predict SPARQL query execution time. We generate the training dataset from real queries collected from DBPedia 3.8 query logs. As features of a SPARQL query, we use the SPARQL query algebra operators and different basic graph pattern types that we generate by clustering the training SPARQL queries. We achieved high accuracy (coefficient of determination value of 0.84) for predicting query execution time. Second, we discuss the problem of suggesting similar SPARQL queries based on query history. Users often need assistance to effectively construct and refine Semantic Web queries. To assist users in constructing and refining SPARQL queries, we provide suggestions of similar queries based on query history. Users can use the suggestions to investigate the similar previous queries and their behaviors.