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Semantic Knowledge Fusion in Healthcare: A Hybrid Approach for Connected Medicine Muhala Luhepa, Blaise; Bukasa Kakamba, John; Munduku Munduku, Deo; Mazono Magubu, Daniel; Ntumba Nkongolo, Albert; Matondo Mananga, Herman; Munene Asidi, Djonive
Journal of Technology and Informatics (JoTI) Vol. 7 No. 2 (2025): Vol. 7 N. 2 (2025)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v7i2.1182

Abstract

In a context where connected medicine requires increasingly explainable, accurate, and responsive systems, this paper presents an applied experimental research focusing on the development and evaluation of a hybrid intelligent assistant for healthcare data fusion. The study is based on the parallel combination of two data paradigms: classical tabular structures and their ontological equivalent. Using an intelligent assistant, we simultaneously query a medical dataset on diabetes in tabular form and the same dataset translated into an OWL ontology that can be queried using SPARQL. The aim is to demonstrate that the synchronised combination of these two models not only provides a more complete response but also one that is better contextualised and clinically exploitable. The research follows an experimental methodology, involving the implementation, testing, and comparative evaluation of both models on 300 questions classified by increasing complexity (simple, complex, and very complex). The results reveal a relevance rate above 99%, with an average response time suited to medical use. This work highlights the potential of hybrid architectures in connected health and paves the way for new decision-making assistants that fully exploit the semantic richness of medical knowledge.
Evaluation Of The Oil Potential, Kerogen Type And Degree Of Maturation Of The Kipala Shales (Kwilu Province,Democratic Republic of Congo) Based On Rock-Eval Parameters Munene Asidi, Djonive; Mayena, Thomas Kanika; Mwanza, Fredéric Makoka; Levesque, Makuku Mbo; Adalbert Jules, Makutu Ma Ngwayaya; Ruben, Koy Kasongo
Journal of Geoscience, Engineering, Environment, and Technology Vol. 11 No. 1 (2026): JGEET Vol 11 No 01 : March (2026)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2026.11.1.25680

Abstract

This note aims to contribute to the assessment (still rudimentary at this stage) of the oil potential, kerogen type and degree of maturation of the Kipala shales, using Rock Eval parameters (TOC or COT: Total Organic Carbon; Tmax: Maximum Temperature; Peaks S1, S2, S3; IO: Oxygen Index; HI: Hydrogen Index; PI: Production Index; PP: Production Potential; RC: Residual Carbon; MINC: Mineral Carbon), as well as the associated geochemical diagrams, based on ten samples of these shales analysed by Rock Eval Pyrolysis at the PETROCCI laboratory in Côte d'Ivoire. The main results of this assessment can be summarised as follows: (i) based on the criteria established by Espitalié et al. (1977), the high TOC content (6 to 15%) of these Kipala rocks classifies them as excellent hydrocarbon source rocks; (ii) the kerogen in the shales studied is ‘Type I’; (iii) the evolution of their organic matter is at the ‘Immature-Mature’ limit; with the exception of two samples which, with their relatively high Tmax (435°C < Tmax > 455°C), are classified as mature rocks; i.e. rocks that have reached ‘oil window’ conditions; (iv) almost all of the Kipala shales are classified as source rocks producing good quality oil; (v) the very high PP values of these shales classify them as rocks with very good to excellent potential, suggesting that they can generate hydrocarbons; (vi) IP values < 0.1 for most of the shale samples analysed, coupled with their low Tmax values (< 435°C), suggest that the organic matter in these shales is “immature” or even “early mature”, as evidenced by the presence of traces of bitumen in some of the shale samples.