An ontology-based CBR approach for personalized itinerary search systems for sustainable urban freight transport

Bouhana, Amna; Zidi, Amir; Fekih, Afef; Chabchoub, Habib; Abed, Mourad

doi:10.1016/j.eswa.2014.12.012

Cited by 48 publications

(19 citation statements)

References 43 publications

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“…In [11], the authors proposed an approach based on the integration of three techniques: a CBR-personalized retrieval mechanism designed to provide a user with an optimum itinerary that meets his personal needs and preferences; a semantic web rule language considered to provide the system with enhanced semantic capabilities and support personalized case representation; and a user-oriented ontology used as source of knowledge to extract pertinent information about stakeholder's preferences and needs. To facilitate decision making within collaborative design, a Decision Support Ontology (DSO) is developed in [12]. The structure of the information model developed reflects a priori knowledge of decision making and supports the communication of information independent of any specific decision method.…”

Section: Related Workmentioning

confidence: 99%

A Knowledge-Intensive Decision Support System for Industrial Machines Maintenance

Bouhalouan

Nachet

Adla

2020

Wseas Transactions on Information Science and Applications

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-In industrial plants, the profitability of the plant is significantly affected by the quality of machines maintenance. To ensure continuous production, the high valued machines should be kept in good working conditions. This brings plants to search for means to control and reduce equipment failures. When faults emerge in plants, appropriate actions for fault diagnosis and troubleshooting must be executed promptly and effectively to prevent large costs due to breakdowns. To provide reliable and effective maintenance support, the aid of advanced decision support technology utilizing previous repair experience is of crucial importance for the expert operators as it provides them valuable troubleshooting clues for new faults. Artificial intelligence (AI) technology, particularly, knowledge-based approach is promising for this domain. It captures efficiency of problem solving expertise from the domain experts; guides the expert operators in rapid fault detection and troubleshooting. This paper focuses on the design and development of a Knowledge-Intensive Decision Support System (KI-DSS) for Maintenance, Repair and Service in industrial plants to support better maintenance decision and improve maintenance efficiency. With integration of case-based Reasoning and ontology, the Ki- DSS not only carries out data matching retrieval, but also performs semantic associated data access which is important for intelligent knowledge retrieval in decision support system. A case is executed to illustrate the use of the proposed KI-DSS to show the feasibility of our approach and the benefit of the ontology support.

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Section: Related Workmentioning

confidence: 99%

A Knowledge-Intensive Decision Support System for Industrial Machines Maintenance

Bouhalouan

Nachet

Adla

2020

Wseas Transactions on Information Science and Applications

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“…For more knowledge on collaborative management of CL supply chain, readers may review [25,46]. Additionally, the information retrieval tactics such as data mining [47], case base reasoning [48], GPS [49], GIS [50], demand forecasting [51], and cloud computing [52] has also popularized in the CL supply chain research.…”

Section: Decision Support From a Sustainable Perspective For Logisticmentioning

confidence: 99%

A Scientometrics Review on City Logistics Literature: Research Trends, Advanced Theory and Practice

et al. 2019

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The contradiction between the contribution of city logistics (CL) to sustainable urban development and its negative externalities is increasingly prominent. Policy supervision measures and the green logistics initiative are also in conflict with the management goal of logistics enterprises. Innovative solutions for CL have attracted increasing research attention worldwide. However, the description of the global research network in the field of CL, research trends, and the discussion of advanced theories and practices have not been systematically reviewed so far. Especially in the past three years, there has been an explosive growth of relevant literature. In this paper, the method of combining scientometric analysis and thematic discussion was adopted to systematically review 513 important works in the literature from 1993 to 2018, aiming to provide a holistic understanding of the status in quo, trends and gaps of CL research, and to further analyze prominent problems. The study has made statistical analyses of the publication year profile, journal allocation and research methods of the included literature, and constructed four kinds of visualized bibliographic information timeline maps for the authorship network, international collaboration network, keywords co-occurrence network and research topic clustering. Then, the three themes summarized by clustering are discussed, mainly focusing on CL strategies and policy, green supply chain management, planning methods, and advanced concepts and practices. Finally, the research gaps framework and agenda were reported. This study contributes to summarizing the research and development of city logistics on the whole, and can also serve as an explorative manual to support sustainable urban freight activities and innovative research.

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“…El papel fundamental de la ontología es estructurar y recuperar conocimiento, promover su intercambio, y favorecer la comunicación [45]. Según [46] el uso de ontologías en el razonamiento basado en casos aporta los beneficios siguientes:…”

Section: El Razonamiento Basado En Casos Con El Uso De La Ontologíaunclassified

Sistema Inteligente de Información Geográfica para las empresas eléctricas cubanas

Fleitas

Rodríguez

Lorenzo

2019

Ingeniare. Rev. chil. ing.

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RESUMENLas empresas eléctricas necesitan métodos eficaces de visualizar información. En la Unión Eléctrica en Cuba se trabaja en el desarrollo de un Sistema de Información Geográfica (SIG) que cuente con una base conceptual y dé respuesta a las distintas peticiones del usuario. Para ello, el objetivo de la investigación es desarrollar un modelo para el manejo de datos geoespaciales, con el uso de técnicas de Inteligencia Artificial, como soporte a la toma de decisiones en el sector eléctrico cubano. Como primer paso se elabora una ontología ligera que dote al sistema de la base conceptual. Para lograr las consultas automáticas se desarrolla un Sistema de Razonamiento Basado en Casos. La base de casos contiene la descripción de consultas estáticas realizadas previamente en forma de casos. Cada consulta se compone por once rasgos fundamentales derivados de la ingeniería del conocimiento realizada, de los cuales ocho son predictores y tres objetivos. La calidad final del SIG es verificada de acuerdo a los estándares de calidad de la norma ISO 9126:2002. Este sistema se aplica en todas las empresas eléctricas del país en las distintas áreas que inciden en los procesos de transmisión. Los resultados de la validación en campo evidencian la factibilidad de la propuesta.Palabras clave: Sistema de información geográfica, sistemas basados en el conocimiento, ontologías. ABSTRACTElectric companies need effective methods to visualize information. The Electric Union in Cuba works on the development of a Geographic Information System (GIS) with a conceptual basis that responds to the different user requests. For this, the research objective is to develop a model for the management of geospatial data, with the use of artificial intelligence techniques, as support for decision making in the Cuban electric sector. As a first step, a lightweight ontology that endows a conceptual basis is elaborated. To achieve automatic queries, a Case-Based Reasoning System is developed. The case database contain the description of static queries previously made in the form of cases. Each query is made up of eleven fundamentals traits derived of the completed knowledge engineering performed, of which: eight are predictors and three are objectives. The final quality of the GIS is verified according to the quality standards of ISO 9126:2002 norm. The system is applied in all electric companies of the country in the different areas that affect the transmission processes. The results of field validation evidence the feasibility of the proposal.

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An ontology-based CBR approach for personalized itinerary search systems for sustainable urban freight transport

Cited by 48 publications

References 43 publications

A Knowledge-Intensive Decision Support System for Industrial Machines Maintenance

A Knowledge-Intensive Decision Support System for Industrial Machines Maintenance

A Scientometrics Review on City Logistics Literature: Research Trends, Advanced Theory and Practice

Sistema Inteligente de Información Geográfica para las empresas eléctricas cubanas

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