Knowledge acquisition methods facing real estate enterprises

Pao Yue-kong Library Electronic Theses Database

Knowledge acquisition methods facing real estate enterprises

 

Author: Li, Min
Title: Knowledge acquisition methods facing real estate enterprises
Degree: Ph.D.
Year: 2010
Subject: Hong Kong Polytechnic University -- Dissertations
Real estate business
Knowledge management
Department: Dept. of Building and Real Estate
Pages: xii, 196 leaves : ill. ; 30 cm.
InnoPac Record: http://library.polyu.edu.hk/record=b2392999
URI: http://theses.lib.polyu.edu.hk/handle/200/5883
Abstract: Although the real estate industry is one of the largest and sturdiest pillars of every economy, it suffers from many deficiencies. For example, it lacks adequate tools to both effectively acquire the latest, most comprehensive and relevant knowledge, and to utilize that knowledge. This study explores the knowledge acquisition methods applicable to the real estate industry and uses this as the basis for the development of an effective real estate knowledge management system. Firstly, in order to solve the problem of acquiring the necessary knowledge from the wide and diverse world of real estate, this dissertation proposes building a knowledge management "union" consisting of a number of real estate enterprises cooperating in the sharing of knowledge. An inconsistent, semantic interpretation of data is one of impediments to the effective exchange of knowledge between real estate enterprises. Focusing on this challenge, this dissertation develops an ontology-based agent cooperation search model. The framework of the model is described as well as the design of the process of the agent cooperation search. Through a study of ontology mode ling theory, the steps of real estate domain and process ontology modeling are defined. Finally, it is demonstrated how to model the real estate ontology in order to realize the cooperative search by means of both a real estate project management ontology modeling example and a real estate project management knowledge cooperation search example. Secondly, this dissertation proposes a form of genetic algorithm-based knowledge discovery of the relevant implicit knowledge from the internal databases of real estate enterprises. It provides the framework for and analyzes the effectiveness of such a knowledge discovery methodology. In addition, it demonstrates how this method can be applied in real life through an example ofa knowledge discovery exercise of this type. In conclusion, this dissertation explores the design of a practical real estate knowledge management prototype system. It provides the design principles and the framework of the system as well as the structure of its major modules. The aim of the prototype system is to show how to apply the above model to the development of a real estate knowledge management system that will deliver commercial value to its users.

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