Details
| Original language | English |
|---|---|
| Title of host publication | Semantic Keyword-Based Search on Structured Data Sources |
| Subtitle of host publication | 3rd International KEYSTONE Conference, IKC 2017, Revised Selected Papers and COST Action IC1302 Reports |
| Editors | Julian Szymanski, Yannis Velegrakis |
| Publisher | Springer Verlag |
| Pages | 196-214 |
| Number of pages | 19 |
| ISBN (electronic) | 978-3-319-74497-1 |
| ISBN (print) | 978-3-319-74496-4 |
| Publication status | Published - 2018 |
| Event | 3rd COST Action IC1302 International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2017 - Gdansk, Poland Duration: 11 Sept 2017 → 12 Sept 2017 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 10546 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
The main goal of research in the Keystone Action COST IC1302 is to manage big amounts of heterogeneous data, particularly structured data, in order to provide users (people or software agents) with the data they require in an effective way with the minimum cost. The processes of managing and organizing data to provide users with them in an efficient way also generate new data that can be recollected and exploited to improve the processes; i.e., data about the processes involved can be used as feedback to improve them. Keystone is organized in 4 working groups: Representation of Structure Data Sources (WG1), Keyword-based Search (WG2), User Interaction and Keyword Query Interpretation (WG3), and Research Integration, Showcases, Benchmarks and Evaluations (WG4). This chapter is focused on the research related to WG1 focusing on profiling, assessment, representation and discovery of structured datasets. The results of WG1 influence WG2 and WG3, whereas WG4 focuses on the integration of the results of all working groups and how to exploit them.
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
Cite this
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- Apa
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- BibTeX
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Semantic Keyword-Based Search on Structured Data Sources: 3rd International KEYSTONE Conference, IKC 2017, Revised Selected Papers and COST Action IC1302 Reports. ed. / Julian Szymanski; Yannis Velegrakis. Springer Verlag, 2018. p. 196-214 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10546 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - KEYSTONE WG1: Activities and Results Overview on Representation of Structured Data Sources
AU - Trillo-Lado, Raquel
AU - Dietze, Stefan
PY - 2018
Y1 - 2018
N2 - The main goal of research in the Keystone Action COST IC1302 is to manage big amounts of heterogeneous data, particularly structured data, in order to provide users (people or software agents) with the data they require in an effective way with the minimum cost. The processes of managing and organizing data to provide users with them in an efficient way also generate new data that can be recollected and exploited to improve the processes; i.e., data about the processes involved can be used as feedback to improve them. Keystone is organized in 4 working groups: Representation of Structure Data Sources (WG1), Keyword-based Search (WG2), User Interaction and Keyword Query Interpretation (WG3), and Research Integration, Showcases, Benchmarks and Evaluations (WG4). This chapter is focused on the research related to WG1 focusing on profiling, assessment, representation and discovery of structured datasets. The results of WG1 influence WG2 and WG3, whereas WG4 focuses on the integration of the results of all working groups and how to exploit them.
AB - The main goal of research in the Keystone Action COST IC1302 is to manage big amounts of heterogeneous data, particularly structured data, in order to provide users (people or software agents) with the data they require in an effective way with the minimum cost. The processes of managing and organizing data to provide users with them in an efficient way also generate new data that can be recollected and exploited to improve the processes; i.e., data about the processes involved can be used as feedback to improve them. Keystone is organized in 4 working groups: Representation of Structure Data Sources (WG1), Keyword-based Search (WG2), User Interaction and Keyword Query Interpretation (WG3), and Research Integration, Showcases, Benchmarks and Evaluations (WG4). This chapter is focused on the research related to WG1 focusing on profiling, assessment, representation and discovery of structured datasets. The results of WG1 influence WG2 and WG3, whereas WG4 focuses on the integration of the results of all working groups and how to exploit them.
UR - http://www.scopus.com/inward/record.url?scp=85045319685&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-74497-1_20
DO - 10.1007/978-3-319-74497-1_20
M3 - Conference contribution
AN - SCOPUS:85045319685
SN - 978-3-319-74496-4
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 196
EP - 214
BT - Semantic Keyword-Based Search on Structured Data Sources
A2 - Szymanski, Julian
A2 - Velegrakis, Yannis
PB - Springer Verlag
T2 - 3rd COST Action IC1302 International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2017
Y2 - 11 September 2017 through 12 September 2017
ER -