Toward domain knowledge model for smart city: The core conceptual model

Author(s):  
Junfeng Zhao ◽  
Yasha Wang
Author(s):  
Bjørnar Aas ◽  
Stein W. Wallace

Logistics problems are gradually becoming more complex and a better understanding of logistics management as a subject is a key to deal with the new challenges. A core element of logistics management is logistics planning, which substitutes for low customer service levels, high waste, and the use of buffers and slacks in the execution of logistic activities. Furthermore, the availability of information and problem-solving capabilities are established as the core parts of logistics planning. Based on this, in this paper, a conceptual model for the management of logistics planning is proposed and discussed. In this regard, the model is built on ideas from microeconomics.


Author(s):  
Bjørnar Aas ◽  
Stein W. Wallace

Logistics problems are gradually becoming more complex and a better understanding of logistics management as a subject is a key to deal with the new challenges. A core element of logistics management is logistics planning, which substitutes for low customer service levels, high waste, and the use of buffers and slacks in the execution of logistic activities. Furthermore, the availability of information and problem-solving capabilities are established as the core parts of logistics planning. Based on this, in this paper, a conceptual model for the management of logistics planning is proposed and discussed. In this regard, the model is built on ideas from microeconomics.


Author(s):  
EL Moukhtar Zemmouri ◽  
Hicham Behja ◽  
Abdelaziz Marzak ◽  
Brigitte Trousse

Knowledge Discovery in Databases (KDD) is a highly complex, iterative and interactive process that involves several types of knowledge and expertise. In this paper the authors propose to support users of a multi-view analysis (a KDD process held by several experts who analyze the same data with different viewpoints). Their objective is to enhance both the reusability of the process and coordination between users. To do so, they propose a formalization of viewpoint in KDD and a Knowledge Model that structures domain knowledge involved in a multi-view analysis. The authors’ formalization, using OWL ontologies, of viewpoint notion is based on CRISP-DM standard through the identification of a set of generic criteria that characterize a viewpoint in KDD.


2013 ◽  
Vol 860-863 ◽  
pp. 3000-3004
Author(s):  
Shi Tong Wang ◽  
Ai Guo Xie

Employability was the core of college graduates' successful employment influence factors. Based on the USEM model and selecting factors of college graduates' employability and adding latent variables of education resources, research established conceptual model of college graduates' employability. The results of 7 facts showed that the fit indicators of the model proposed by this research had high goodness-of-fit. Finally, the paper analyzed the practical significance of this model.


Cities ◽  
2018 ◽  
Vol 78 ◽  
pp. 4-16 ◽  
Author(s):  
Victoria Fernandez-Anez ◽  
José Miguel Fernández-Güell ◽  
Rudolf Giffinger
Keyword(s):  

2012 ◽  
Vol 15 (4) ◽  
pp. 1169-1188 ◽  
Author(s):  
Qing Liu ◽  
Quan Bai ◽  
Corne Kloppers ◽  
Peter Fitch ◽  
Qifeng Bai ◽  
...  

With the increasing complexity of hydrologic problems, data collection and data analysis are often carried out in distributed heterogeneous systems. Therefore it is critical for users to determine the origin of data and its trustworthiness. Provenance describes the information life cycle of data products. It has been recognised as one of the most promising methods to improve data transparency. However, due to the complexity of the information life cycle involved, it is a challenge to query the provenance information which may be generated by distributed systems, with different vocabularies and conventions, and may involve knowledge of multiple domains. In this paper, we present a semantic knowledge management framework that tracks and integrates provenance information across distributed heterogeneous systems. It is underpinned by the Integrated Knowledge model that describes the domain knowledge and the provenance information involved in the information life cycle of a particular data product. We evaluate the proposed framework in the context of two real-world water information systems.


2020 ◽  
Vol 50 (1) ◽  
pp. 73-80
Author(s):  
V. K. Kalichkin ◽  
R. A. Koryakin ◽  
K. Yu. Maksimovich ◽  
A. A. Sigitov ◽  
R. R. Galimov

In order to solve the problem of the land agroecological estimation (natural resources potential) automation and artificial information system development, it is necessary to make the domain knowledge (DK) conceptualization, or conceptual modelling. The unified modelling language (UML) was chosen as a descriptive system. Three abstract objects (class, attribute and relationship) were selected to describe 33 concepts for land plot basic natural characteristics and 13 significant nature process aspects regulating changes of those characteristics. For 6 DK concepts abstract object “class” was chosen, for 27 DK concepts – “attribute”, for 13 nature process aspects – “relationship”. Class “land plot” is a central one interacting with the other 5 classes: “relief”, “agrometeorological resource”, “soil”, “erosion”, “vegetation”. All classes and attributes interdependencies are described by relationship classification of 3 types. The first type is dependency relationship showing on UML diagrams a directed connection between two classes towards the main class, which means that changing the main class properties implies changing the dependant class properties; the second type is association relationship, which is any relationship showing connection characterized by almost any verb of the Russian language; the third type is composition relationship showing connection between composite and its part and is always directed to the composite, where deletion of the composite class implies deletion of all parts. Optimization of the DK conceptual model described by means of UML diagram is a permanent process, thus new classes and concepts can be added to the model throughout the time.


2020 ◽  
Vol 6 (2) ◽  
pp. 54
Author(s):  
Faizah Mashahadi ◽  
Noor Hazlina Ahmad

Small and Medium Enterprises (SMEs) have been the core agents in accelerating growth and providing jobs opportunities for the nation. Indeed, with industrial revolution rapidly evolving, there is a stronger exigency for SMEs to explore new opportunities aims to enhance efficiency so that SMEs able to compete and grow internationally. Recent development has heightened the need for SMEs to involve in innovation activity as the means to improve competitiveness and sustaining performance becoming a reality. Many studies emphasize on the critical role of innovation ambidexterity in determining SMEs success but the existing studies yet to conclude the predecessor of innovation ambidexterity in internationally operated SMEs. This article aims to provide a conceptual model that explores the potential of international entrepreneurial orientation in determining innovation ambidexterity in international SMEs in Malaysia.


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