A Web of Data Platform for Mineral Intelligence Capacity Analysis (MICA)

Abstract

The H2020 Mineral Intelligence Capacity Analysis (MICA) project is a collaboration between multiple geological surveys (BRGM, BGS, GEUS, GeoZS) in Europe; the European Raw Materials Intelligence Capacity Platform (EU-RMICP) enables the user to find information about mineral raw material in Europe. This paper discusses a part of EU-RMICP platform based on the models and the Web of data architecture. This part of the platform focusing on mineral resources, methods and information collected in different European data-bases, to leverage semantic technologies and to manage and link geoscience information and resources. Experts deal with many representations by taking into account the environmental, technical, political and social dimensions, metadata, heterogeneous data sources and tools. Our solution for semantic interoperability between different resources, is based on semantic annotation by adding knowledge to resources with semantic tags. The semantics attached to resources is defined by ontology and the exploitation is made with an integrated model, which maps the correspondence between the ontology and the resources. The ontology is based on an ontology of the domain of mineral resources coupled with relative commodities, time and space. The study focuses on the topic of semantic modeling, exploratory data, ranking the queries results and the query of linked data are introduced through Euro-Lex datasets. The architecture is based on a RDF triple store storing the ontology, the methods and documentation, the scenarios and metadata. The triple store is connected with eight existing European Data bases, and with the inference engine to search, select, infer and rank the results.