趙中岳

Chung-YuehChao

碩士論文 (2010)

個人化知識搜尋與推薦之領域知識本體調適機制

關鍵字 Keywords

個人化, 知識管理, 知識本體, 知識本體調適

摘要

隨著知識經濟的蓬勃發展，企業競爭優勢之提昇有賴知識的創新與應用。因此，有效地實施知識管理已成為企業成功的關鍵因素之一。由於知識本體(Domain Ontology)能適當地描述特定領域之知識組成與知識間之關係，知識管理的成效則繫於知識本體(Domain Ontology)的之建置、運用與維護。本研究之主要目的在發展一個人化知識搜尋與推薦之領域知識本體調適機制。依據使用者之需求與使用行為(Usage History Log)，本機制可調適出的個人化領域知識本體，以更正確地反應出合適之領域知識進而提昇領域知識本體的使用價值。為達上述目的，本研究主要研究項目包括: (i) 知識本體之調適模式設計，(ii) 知識本體之調適方法發展與(iii) 知識本體之調適機制實作。知識本體之調適模式設計包括知識本體之調適因子分析模式設計、使用者之使用情境分析模式建立與個人化調適模式建立。知識本體之調適方法發展則包括知識本體之調適程序建構、調適因子分析方法發展、使用者之偏好分析方法發展、使用需求為基概念分群方法發展與個人化調適方法發展。

Abstract

With the rapid development of knowledge economy, the competitiveness of enterprises relies heavily on innovation and application of knowledge. Therefore, effective management of knowledge has become one of the critical factors of enterprises, which is further dependent on the successful building, application and maintenance of ontology due to its feasibility for domain knowledge representation.

The objective of this thesis is to develop an ontology adaptation mechanism for personalized knowledge search and recommendation. According to user requirements and usage history log, a personalized ontology is developed to more precisely reflect the domain knowledge in need and thus increase the value of domain ontology. The above objective can be achieved through: (i) domain ontology adaptation model design, (ii) domain ontology adaptation method development, and (iii) system implementation with a case study. Domain ontology adaptation model design includes adaptation factor analysis, user scenario analysis and adaptation model development. And, domain ontology adaptation method development includes the developments of adaptation procedure, user preference analysis, and requirement-based concept clustering.

The results of this research can enhance the accuracy of the domain ontology and personalized knowledge search and recommendation, and thus enhance the competitiveness of enterprises.