Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ IRIS - Università de...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

Enhancing CIDOC-CRM Models for GeoSPARQL Processing with MapReduce

Authors: Sara Migliorini;

Enhancing CIDOC-CRM Models for GeoSPARQL Processing with MapReduce

Abstract

Spatial and temporal dimensions are two important characteristics of archaeological data and cultural heritage in general. The ability to perform some sort of reasoning on them is crucial during the analysis and interpretation process performed by domain experts. Many models have been defined in literature in order to properly describe such data and support the following interpretation process; among them, CIDOC CRM is a formal ontology specifically developed to represent cultural heritage information and many extensions have been proposed in recent years in order to enrich such model. In particular, CRMgeo tries to bring the gap between the cultural heritage domain and the geo-spatial domain, by providing a link towards GeoSPARQL and by defining the necessary constructs for the representation of spatial data types and relations. Unfortunately, the current support to the process of spatial functions through SPARQL query engine is still limited and many performance problems remain. The aim of this paper is twofold: (i) to evaluate the applicability of CRMgeo in representing spatial characteristics and relations of archaeological objects, and (2) to propose a MapReduce procedure able to efficiently derive spatial relations between objects, in order to automatically enhance an RDF model with them and avoid the performance issues derived from the use of GeoSPARQL query engine.

Country
Italy
Related Organizations
Keywords

GeoSPARQL, MapReduce, Archaeological data, CIDOC CRM, RDF

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green