Oatlhotse Oatlhotse Gaborone

Oatlhotse is a “Master of Science In Information Systems” part time student, with extensive experience in large-scale ERP implementations and systems analysis, He is a Team Principal, ERP Implementation Consultant in Construction Real Estate department of the “The Answer Company”. Not only does he have over 10 years of experience in business systems, He is also particularly proficient in streamlining accounting processes within the construction industry. He leads a team for software called; Sage 300 Construction & Real Estate and Sage 100 Contractor. In his role, he empowers businesses to achieve their full potential and fulfill their long-term goals by helping them design and optimize a custom-fit ERP.


Title: Knowledge Graph-Based Model and its Application for the Cognitive Construction

Abstract: In the Construction life cycle, pre-construction processes generate “Big Data”. The data at that stage of
the Construction life cycle, can potentially set the tone for the effectiveness of data management throughout the Construction life cycle. At Pre-construction, “Big Data” is partly unstructured, very dynamic and comes from heterogenous sources. This then makes Data Management at the pre-construction level to continue to be a labor-intensive exercise and therefore susceptible to human error. This paper seeks to explore knowledge graph-based approach to enhance the semantic interoperability of that data with well-established knowledge in the pre-construction operations. In particular, the proposed approach aims at the scenario of “bidding to budget creation” within the pre-construction stage. The objectives; were first to find the best avenues to improve semantic interoperability using knowledge graphs. Secondly the model sought to find the degree of impact in data privacy on participating stakeholders. Lastly, the model will be used to ascertain improvements in cognitive capabilities after deploying Semantic computing methods at that pre-construction stage. The results are not yet conclusive as the research is still in progress, this paper will survey more innovative ways to improve privacy. Semantic computing methods were deployed using RDFized data (This is converting relational data into a Resource Description Framework). Also, existing ontologies were used at this stage, however, the research is still in progress. Nonetheless, at this stage it is evident that there is need to explore more advance tools to measure the cognitive capabilities at the said pre-construction stage.

 


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