Benchmarking Applied to Semantic Conceptual Models of Linked Financial Data View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

José Luis Sánchez-Cervantes , Lisbeth Rodríguez-Mazahua , Giner Alor-Hernández , Cuauhtémoc Sánchez-Ramírez , Jorge Luis García-Alcaráz , Emilio Jimenez-Macias

ABSTRACT

Semantic modeling plays a central role in knowledge-based systems where information sharing and integration is a primary objective. Ontology and metadata description languages such as OWL (Web Ontology Language) and RDF(S) (Resource Description Framework Schema) are commonly the most used for representing semantic models and data. The graph-like structure adopted for semantic metadata representation allows simple and expressive queries by using SPARQL-based subgraph matching. While performance of such knowledge-based systems depends on multiple factors, in this work we present a mechanism to properly choice a semantic modeling pattern in order to significantly reduce the data query execution time. Based on this understanding, this work proposes a comparative analysis of different conceptual modeling approaches on the basis of financial domain. In order to show the efficiency/accuracy of our approach, an evaluation of SPARQL-based queries was performed against different modeled datasets. More... »

PAGES

289-298

References to SciGraph publications

Book

TITLE

On the Move to Meaningful Internet Systems: OTM 2015 Workshops

ISBN

978-3-319-26137-9
978-3-319-26138-6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-26138-6_32

DOI

http://dx.doi.org/10.1007/978-3-319-26138-6_32

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005159601


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