Contextually-enriched querying of integrated data sources

Giacomo Cavallo, Francesco Di Mauro, Paolo Pasteris, Maria Luisa Sapino, Kasim Candan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In many applications, users face the need to integrate multiple information sources to solve their tasks. While most information sources can be seen as stable, as they contain factual, objective knowledge (which is the case for most relational databases), there can be personalized contextual knowledge which enriches the available factual data and contributes to their interpretation, in the context of the knowledge of the user who queries the system. In this paper, we present CrowdSourced Semantic Enrichment (CroSSE), a social knowledge platform supporting semantic enrichment and integrated services (such as content personalization, preview, and social recommendations) within the context of scientific investigations. Semantic enrichment is especially useful in applications where data (schema and facts) evolve faster than the database itself and, while essential to the operation of the enterprise, the database lacks the flexibility to (a) prevent going stale or (b) capture user-provided and/or crowdsourced data and knowledge for more effective decision support. More specifically, in this paper, we focus on the SESQL language and the supporting system architecture, which enables users to (a) enrich a databank with semantic tagging information and (b) leverage contextualised queries to the databank for enabling contextualised data analysis.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 34th International Conference on Data Engineering Workshops, ICDEW 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9-16
Number of pages8
ISBN (Electronic)9781538663066
DOIs
StatePublished - Jul 2 2018
Externally publishedYes
Event34th IEEE International Conference on Data Engineering Workshops, ICDEW 2018 - Paris, France
Duration: Apr 16 2018Apr 19 2018

Other

Other34th IEEE International Conference on Data Engineering Workshops, ICDEW 2018
CountryFrance
CityParis
Period4/16/184/19/18

Fingerprint

Semantics
semantics
personalization
data analysis
flexibility
interpretation
Integrated
Data sources
lack
language
Industry
Information sources
Data base
Query

Keywords

  • Crowdsourced semantic enrichment
  • Ontologies
  • Semantic tagging and query expansion

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management
  • Library and Information Sciences

Cite this

Cavallo, G., Di Mauro, F., Pasteris, P., Sapino, M. L., & Candan, K. (2018). Contextually-enriched querying of integrated data sources. In Proceedings - IEEE 34th International Conference on Data Engineering Workshops, ICDEW 2018 (pp. 9-16). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDEW.2018.00008

Contextually-enriched querying of integrated data sources. / Cavallo, Giacomo; Di Mauro, Francesco; Pasteris, Paolo; Sapino, Maria Luisa; Candan, Kasim.

Proceedings - IEEE 34th International Conference on Data Engineering Workshops, ICDEW 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 9-16.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cavallo, G, Di Mauro, F, Pasteris, P, Sapino, ML & Candan, K 2018, Contextually-enriched querying of integrated data sources. in Proceedings - IEEE 34th International Conference on Data Engineering Workshops, ICDEW 2018. Institute of Electrical and Electronics Engineers Inc., pp. 9-16, 34th IEEE International Conference on Data Engineering Workshops, ICDEW 2018, Paris, France, 4/16/18. https://doi.org/10.1109/ICDEW.2018.00008
Cavallo G, Di Mauro F, Pasteris P, Sapino ML, Candan K. Contextually-enriched querying of integrated data sources. In Proceedings - IEEE 34th International Conference on Data Engineering Workshops, ICDEW 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 9-16 https://doi.org/10.1109/ICDEW.2018.00008
Cavallo, Giacomo ; Di Mauro, Francesco ; Pasteris, Paolo ; Sapino, Maria Luisa ; Candan, Kasim. / Contextually-enriched querying of integrated data sources. Proceedings - IEEE 34th International Conference on Data Engineering Workshops, ICDEW 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 9-16
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