TY - GEN
T1 - MetaExtractor
T2 - IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference on Availability, Reliability, and Security in Information Systems and HCI, CD-ARES 2013
AU - Pomares-Quimbaya, Alexandra
AU - Torres-Moreno, Miguel Eduardo
AU - Roldán, Fabián
PY - 2013
Y1 - 2013
N2 - The extraction of metadata used during the planning phase in mediation systems assumes the existence of a metadata repository that in most cases must be created with high human involvement. This dependency rises complexity of maintenance of the system and therefore the reliability of the metadata itself. This article presents MetaExtractor, a system which extracts structure, quality, capability and content metadata of structured data sources available on a mediation system. MetaExtractor is designed as a Multi-Agent System(MAS) where each agent specializes in the extraction of a particular type of metadata. The MAS cooperation capability allows the creation and maintenance of the metadata repository. MetaExtractor is useful to reduce the number of data sources selected during query planning in large scale mediation systems due to its ability to prioritize data sources that better contribute to answer a query. The work reported in this paper presents the general architecture of MetaExtractor and emphasizes on the extraction logic of content metadata and the strategy used to prioritize data sources accordingly to a given query.
AB - The extraction of metadata used during the planning phase in mediation systems assumes the existence of a metadata repository that in most cases must be created with high human involvement. This dependency rises complexity of maintenance of the system and therefore the reliability of the metadata itself. This article presents MetaExtractor, a system which extracts structure, quality, capability and content metadata of structured data sources available on a mediation system. MetaExtractor is designed as a Multi-Agent System(MAS) where each agent specializes in the extraction of a particular type of metadata. The MAS cooperation capability allows the creation and maintenance of the metadata repository. MetaExtractor is useful to reduce the number of data sources selected during query planning in large scale mediation systems due to its ability to prioritize data sources that better contribute to answer a query. The work reported in this paper presents the general architecture of MetaExtractor and emphasizes on the extraction logic of content metadata and the strategy used to prioritize data sources accordingly to a given query.
KW - Large Scale Data Mediation
KW - Mediation Systems
KW - Metadata Extraction
KW - Multi-Agent System
KW - Source Selection
UR - https://www.scopus.com/pages/publications/84885714975
U2 - 10.1007/978-3-642-40511-2_7
DO - 10.1007/978-3-642-40511-2_7
M3 - Conference contribution
AN - SCOPUS:84885714975
SN - 9783642405105
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 84
EP - 99
BT - Availability, Reliability, and Security in Information Systems and HCI - IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2013, Proceedings
Y2 - 2 September 2013 through 6 September 2013
ER -