An increasing number of research and industrial initiatives have focused on publishing Linked Open Data, but little attention has been provided to help consumers to better understand existing data sets. In this paper we discuss how an ontology-driven data abstraction model supports the extraction and the representation of summaries of linked data sets. The proposed summarization model is the backbone of the ABSTAT framework, that aims at helping users understanding big and complex linked data sets. Our framework is evaluated by showing that it is capable of unveiling information that is not explicitly represented in underspecified ontologies and that is valuable to users, e.g., helping them in the formulation of SPARQL queries.

Spahiu, B., Porrini, R., Palmonari, M., Rula, A., Maurino, A. (2016). ABSTAT: Ontology-driven Linked Data summaries with pattern minimalization. In Proceedings of the 2nd International Workshop on Summarizing and Presenting Entities and Ontologies (SumPre 2016) [co-located with the 13th Extended Semantic Web Conference (ESWC 2016)], Anissaras, Greece, May 30, 2016 (pp.381-395). GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND : CEUR-WS [10.1007/978-3-319-47602-5_51].

ABSTAT: Ontology-driven Linked Data summaries with pattern minimalization

SPAHIU, BLERINA
Primo
;
PORRINI, RICCARDO
Secondo
;
PALMONARI, MATTEO LUIGI;RULA, ANISA
Penultimo
;
MAURINO, ANDREA
Ultimo
2016

Abstract

An increasing number of research and industrial initiatives have focused on publishing Linked Open Data, but little attention has been provided to help consumers to better understand existing data sets. In this paper we discuss how an ontology-driven data abstraction model supports the extraction and the representation of summaries of linked data sets. The proposed summarization model is the backbone of the ABSTAT framework, that aims at helping users understanding big and complex linked data sets. Our framework is evaluated by showing that it is capable of unveiling information that is not explicitly represented in underspecified ontologies and that is valuable to users, e.g., helping them in the formulation of SPARQL queries.
paper
Data summarization; Knowledge patterns; Linked data;
Data summarization; Knowledge patterns; Linked data; Computer Science (all)
English
2nd International Workshop on Summarizing and Presenting Entities and Ontologies, SumPre 2016
2016
Proceedings of the 2nd International Workshop on Summarizing and Presenting Entities and Ontologies (SumPre 2016) [co-located with the 13th Extended Semantic Web Conference (ESWC 2016)], Anissaras, Greece, May 30, 2016
2016
1605
381
395
http://ceur-ws.org/
none
Spahiu, B., Porrini, R., Palmonari, M., Rula, A., Maurino, A. (2016). ABSTAT: Ontology-driven Linked Data summaries with pattern minimalization. In Proceedings of the 2nd International Workshop on Summarizing and Presenting Entities and Ontologies (SumPre 2016) [co-located with the 13th Extended Semantic Web Conference (ESWC 2016)], Anissaras, Greece, May 30, 2016 (pp.381-395). GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND : CEUR-WS [10.1007/978-3-319-47602-5_51].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/136470
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