Graph-based ontology reasoning for formal verification of BREEAM rules

Kamsu-Foguem, Bernard; Abanda, Fonbeyin Henry; Doumbouya, Mamadou Bilo; Tchouanguem, Justine Flore

doi:10.1016/j.cogsys.2018.12.011

Cited by 22 publications

(10 citation statements)

References 47 publications

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“…It certainly meets the requirements for a more integrated approach of applicable knowledge discovery in the construction field. It has been proven that the uses of information technologies (Kamsu-Foguem et al, 2019;Abanda et al, 2017;Kamsu-Foguem and Abanda, 2015) have helped the optimization of tasks in the area of architecture, engineering, and construction (AEC). Therefore, for the broad understanding of the data analysis process generated by AEC industry, stakeholders have data mining techniques as an important tool to obtain useful knowledge in order to facilitate critical reasoning and ensure building performance.…”

Section: Resultsmentioning

confidence: 99%

BIM-oriented data mining for thermal performance of prefabricated buildings

Garcia

Kamsu-Foguem

2019

Ecological Informatics

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The use of energy efficiency procedures is a typical practice in building construction process that creates a huge amount of data regarding the building. This is particularly valid in structures which include complex collaborations, for example, ventilation, sunlight-based increases, inner additions, and warm mass. This paper proposes a new approach for automating building construction when improving their energy efficiency, aiming to foresee comfort levels based on Heating, Ventilating, Air Conditioning (HVAC), constructive systems performance, environmental conditions, and occupant behavior. More specifically, it presents a research work about thermal performance of prefabricated construction systems developed by an Argentine enterprise called Astori, using two Knowledge Discovery in Databases (KDD) processes to extract knowledge. In this context, Building Information Modeling (BIM) will give data to support the calculation to outline goal levels of a sustainable building performance concerning classification systems. The data were collected from a project in Uruguay referring to the construction systems and the energy efficiency of the building. The data mining tool SPMF was used to test the performance of classification and its use in prediction. Particularly, FP-Growth Algorithm and Clustering methodologies were used to analyze a combination of ambient conditions, in order to compare them using Revit© software. The results generated by these methods can be generalized for a set of buildings, according to the objective to be achieved concerning the thermal building performance.

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Section: Resultsmentioning

confidence: 99%

BIM-oriented data mining for thermal performance of prefabricated buildings

Garcia

Kamsu-Foguem

2019

Ecological Informatics

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“…The most commonly accepted and broadly used meaning for ontology is from Gruber (1993) (Gruber, 1993). Gruber gave meaning to ontology as "a specification of a representational conceptualization for a shared domain of discoursedefinitions of classes, relations, functions, and other objects" (Chowdhury & Zhu, 2019;Kamsu-Foguem, Abanda, Doumbouya, & Tchouanguem, 2019;Maigua-Quinteros, Perez-Nata, Fernandez-Pena, & Urrutia-Urrutia, 2018). Hence, An ontology can be assumed as a condition to demonstrate the knowledge of a specific domain be represented, described, structured and shared (Balduccini et al, 2019;Kamsu-Foguem et al, 2019) due to its ability in promoting sharing of knowledge bases, knowledge organization, and interoperability among systems (Chowdhury & Zhu, 2019).…”

Section: Ontologies To Support Information and Knowledge Sharingmentioning

confidence: 99%

A Systematic review of ontology-based approach and decision-making (DM) to improve public service delivery (PSD)

Ali

Latiff

Wahab³

2020

JBSEE

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A systematic review of the DM literature on PSD was performed with the aim to build an operational ontology-based for decision makers. Five public administration journals were screened on the subject with more than 200 articles found. 29 articles were shortlisted, categorised, summarised, and applied to outline the influential factors in DM for PSD. The result of the systematic reviews also provided a brief clarification on the requirement for the creation of a more citizen-centric and coordinated eco-system for efficient PSD underpinned by effective DM.

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“…When conditions are satisfied, corresponding rules are triggered. Kamsu-Foguem et al [58] proposed a decision-making method combining concept maps with semantic web, which uses rule-embedding to carry out automatic knowledge reasoning. Lecue and Wu [59] used rule-based reasoning on knowledge graph to predict large-scale abnormal costs and extracted all prediction rules through the association mining of semantic description.…”

Section: ) Knowledge Reasoningmentioning

confidence: 99%

Review and Trend Analysis of Knowledge Graphs for Crop Pest and Diseases

et al. 2019

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Current techniques of knowledge management have some common defects in efficiency, scalability, and applicability. Knowledge graph provides a new way for knowledge management and is a more flexible knowledge management method. Considering the specific features of crop diseases and pest data, this paper analyzed and classified the key techniques and methods of knowledge graph technology in the field of crop diseases and pest in recent years. We introduced the definition and connotation of the crop diseases and pest knowledge, and the current construction method of it was analyzed in detail from four aspects: knowledge representation, extraction, fusion, and reasoning. Furthermore, the application of crop diseases and pest knowledge graph was introduced in detail in the expert system, search engine, and knowledge question-answering system. At last, this paper summarized the challenges and important problems of diseases and pest knowledge graph and forecasted the prospect of knowledge graph according to the key points and difficulties of current knowledge graph research.INDEX TERMS Knowledge graph, crop disease and pest, knowledge extraction, knowledge fusion, knowledge reasoning.

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Graph-based ontology reasoning for formal verification of BREEAM rules

Abstract: OATAO is an open access repository that collects the work of some Toulouse researchers and makes it freely available over the web where possible.

Cited by 22 publications

References 47 publications

BIM-oriented data mining for thermal performance of prefabricated buildings

BIM-oriented data mining for thermal performance of prefabricated buildings

A Systematic review of ontology-based approach and decision-making (DM) to improve public service delivery (PSD)

Review and Trend Analysis of Knowledge Graphs for Crop Pest and Diseases

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