Querying and Mining Multigraphs

Autor: Ingalalli, Vijay

Avec des volumes de données et d’informations de plus en plus importants, des données de plus en plus complexes et fortement inter-reliées, l’extraction de connaissances reste un véritable défi. Les graphes offrent actuellement un support de

Externí odkaz: http://www.theses.fr/2017MONTS080/document

Leveraging efficient indexing schema to support multigraph query answering.

Autor: Ingalalli, Vijay^1,2 vijay@lirmm.fr, Ienco, Dino^1,2 dino.ienco@irstea.fr, Poncelet, Pascal^1,2 pascal.poncelet@lirmm.fr

Publikováno v: Ingénierie des Systèmes d'Information. 2016, Vol. 21 Issue 3, p53-74. 22p.

Requêtes et fouille de multigraphes

Autor: Ingalalli, Vijay

Publikováno v: Other [cs.OH]. Université Montpellier, 2017. English. ⟨NNT : 2017MONTS080⟩

With the ever-increasing growth of data and information, extracting the right knowledge has become a real challenge.Further, the advanced applications demand the analysis of complex, interrelated data which cannot be adequately described using a prop

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::1992e22485370b5e47ea1581284fff95
https://tel.archives-ouvertes.fr/tel-01951969/file/INGALALLI_2017_archivage.pdf

Querying RDF Data Using A Multigraph-based Approach

Autor: Ingalalli, Vijay, Ienco, Dino, Poncelet, Pascal, Villata, Serena

Publikováno v: 19th International Conference on Extending Database Technology
EDBT: Extending Database Technology
EDBT: Extending Database Technology, Mar 2016, Bordeaux, France. pp.245-256, ⟨10.5441/002/edbt.2016.24⟩
Advances in Database Technology-EDBT 2016, 19th International Conference on Extending Database Technology, Bordeaux, France, March 15-16, Proceedings
EDBT 2016-19th International Conference on Extending Database Technology
EDBT 2016-19th International Conference on Extending Database Technology, Mar 2016, Bordeaux, France. pp.245-256, ⟨10.5441/002/edbt.2016.24⟩

[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-SISO; International audience; RDF is a standard for the conceptual description of knowledge , and SPARQL is the query language conceived to query RDF data. The RDF data is cherish

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::00c9bf7f967600a981779da749b52b08
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01245146/file/document.pdf

SuMGra: Querying Multigraphs via Efficient Indexing.

Autor: Ingalalli, Vijay, Ienco, Dino, Poncelet, Pascal

Publikováno v: Database & Expert Systems Applications: 27th International Conference, DEXA 2016, Porto, Portugal, September 5-8, 2016, Proceedings, Part I; 2016, p387-401, 15p