Building data warehouses based on mine-production geoontology

We propose a new approach to decision support system based on conceptualized and systemized domain knowledge for reducing semantic heterogeneity and cognitive biases among multiple data resource and achieving spatial data integration, exchange & share of mine enterprises. Firstly, an architectur...

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Bibliographic Details
Published in2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) pp. 1508 - 1513
Main Authors Xin-rui Liu, Guo-ping Lei, Feng-yu Ren, Hong-bin Ma
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2015
Subjects
data integration
Data mining
data warehouse
Data warehouses
Fuel processing industries
geo-ontology
Geology
mine production
Ontologies
Production
Semantics
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Summary:We propose a new approach to decision support system based on conceptualized and systemized domain knowledge for reducing semantic heterogeneity and cognitive biases among multiple data resource and achieving spatial data integration, exchange & share of mine enterprises. Firstly, an architecture and design ideas for data warehouse are established with formalized geo-semantic knowledge. Then the hybrid geoontology model and a goal-driven modeling methods covering static knowledge, dynamic events and humans actors of mine production process is presented based on mining terms, concepts, entities and characteristics. Finally, algorithms and examples to automatically build multidimensional model have been given according to mapping rules between OWL and XML. It is tested that the proposed method has superior usability, could implement standardized and sharing multidimensional models of data warehouses and provide a new way for data integration and decision-making application from different business domains.
DOI:10.1109/FSKD.2015.7382168