Lattice-based views over SPARQL query results

Mehwish Alam; Amedeo Napoli

Lattice-based views over SPARQL query results

Mehwish Alam
, Amedeo Napoli

Nancy Université

Résultats de recherche: Contribution à un journal › Article de conférence › Revue par des pairs

1 Citation (Scopus)

Résumé

SPARQL queries over semantic web data usually produce a huge list of tuples as answers that may be hard to understand and interpret. Accordingly, this paper focuses on Lattice Based View Access (LBVA), a framework based on Formal Concept Analysis, to provide a view using View By clause based on a concept lattice. This lattice can be navigated for retrieving or mining specific patterns in query results.

langue originale	Anglais
Pages (de - à)	49-58
Nombre de pages	10
journal	CEUR Workshop Proceedings
Volume	1232
état	Publié - 1 janv. 2014
Modification externe	Oui
Evénement	1st Workshop on Linked Data for Knowledge Discovery, LD4KD 2014 - Co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2014 - Nancy, France Durée: 19 sept. 2014 → 19 sept. 2014

Contient cette citation

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title = "Lattice-based views over SPARQL query results",

abstract = "SPARQL queries over semantic web data usually produce a huge list of tuples as answers that may be hard to understand and interpret. Accordingly, this paper focuses on Lattice Based View Access (LBVA), a framework based on Formal Concept Analysis, to provide a view using View By clause based on a concept lattice. This lattice can be navigated for retrieving or mining specific patterns in query results.",

keywords = "Formal concept analysis, Lattice-based views, SPARQL query views",

author = "Mehwish Alam and Amedeo Napoli",

note = "Publisher Copyright: Copyright {\textcopyright} 2014 for the individual papers by the papers' authors.; 1st Workshop on Linked Data for Knowledge Discovery, LD4KD 2014 - Co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2014 ; Conference date: 19-09-2014 Through 19-09-2014",

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TY - JOUR

T1 - Lattice-based views over SPARQL query results

AU - Alam, Mehwish

AU - Napoli, Amedeo

PY - 2014/1/1

Y1 - 2014/1/1

N2 - SPARQL queries over semantic web data usually produce a huge list of tuples as answers that may be hard to understand and interpret. Accordingly, this paper focuses on Lattice Based View Access (LBVA), a framework based on Formal Concept Analysis, to provide a view using View By clause based on a concept lattice. This lattice can be navigated for retrieving or mining specific patterns in query results.

AB - SPARQL queries over semantic web data usually produce a huge list of tuples as answers that may be hard to understand and interpret. Accordingly, this paper focuses on Lattice Based View Access (LBVA), a framework based on Formal Concept Analysis, to provide a view using View By clause based on a concept lattice. This lattice can be navigated for retrieving or mining specific patterns in query results.

KW - Formal concept analysis

KW - Lattice-based views

KW - SPARQL query views

M3 - Conference article

AN - SCOPUS:84925247541

SN - 1613-0073

VL - 1232

SP - 49

EP - 58

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 1st Workshop on Linked Data for Knowledge Discovery, LD4KD 2014 - Co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2014

Y2 - 19 September 2014 through 19 September 2014

ER -

Lattice-based views over SPARQL query results

Résumé

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