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1、 硕士学位论文 Thesis for Masters Degree （工程硕士 Master of Engineering） 面向企业互操作本体的构建系统的设计与实现 System of Conforming Enterprise Ontology for Interoperability 赵凯赵凯 2010 年 9 月 UNIVERSITE BORDEAUX 1 国内图书分类号：TP311.5 国际图书分类号：681.3 工程硕士学位论文 Thesis for the Masters Degree in Engineering 面向企业互操作本体的构建系统的设计与实现 System of C
2、onforming Enterprise Ontology for Interoperability 硕 士 研究生： 赵 凯 导 师： 李全龙副教授 副 导 师： David.CHEN 教授 Yannick.Naudet 教授 申 请 学 科： 工程硕士 学 科、专 业： 软件工程 所 在 单 位： 软件学院、LAPS 答 辩 日 期： 2010 年 9 月 授予学位单位： 哈尔滨工业大学 Classified Index: TP311.5 U.D.C: 681.3 Thesis for the Masters Degree in Engineering SYSTEM OF CONFORMI
3、NG ENTERPRISE ONTOLOGY FOR INTEROPERABILITY Candidate: Supervisor: Associate Supervisor: Academic Degree Applied for: Specialist: Affiliation： Date of Defense: Degree-Conferring-Institution: ZHAO Kai Yannick.Naudet Thesis for Masters at HIT quickly respond by providing new products, services, and in
4、formation; quickly introduce new technologies; and quickly modify business methods”. The problem is how to design and operate an agile enterprise.The project name is: System of Conforming Enterprise Ontology for Interoperability The goal of the project will be to develop a prototype allowing the sys
5、temic analysis of an enterprise, The work to be done is mainly: Make a bibliography work on systemic enterprise models, analyse it and conceive a conceptual model of the Enterprise; encode it in the form of an OWL ontology. Find out the Enterprise-Modeling ontologies in different scope. Use the UML
6、model the semiformal ontology. Then use the OWL language and JAVA to finish to final formal ontology. Conceive and implement prototype interfaces allowing the user to enter information concerning his enterprise。 1.2 State of the Art What is an ontology? An ontology is a “specification of a conceptua
7、lization1.“ This definition is a mouthful but its actually pretty useful. In general terms, an ontology is an organization of a body of knowledge or, at least, an organization of a set of terms related to a body of knowledge. However, unlike a glossary or dictionary, which Thesis for Masters at HIT
8、and having found the concept, we need to express it in as precise a manner as possible and in a manner that can be interpreted and used by other computer systems. One of the differences between a dictionary or a glossary and ontology is2, as we know, dictionary definitions are not really processable
9、 by computer systems. But the other difference is that by starting with the concept and specifying it as rigorously as possible, we get definitive meaning that is largely independent of language or terminology. Then the definition states that an ontology is a “specification of a conceptualization3.“
10、 That is what we just described. In addition, of course, we then attach terms to these concepts, because in order for us humans to use the ontology we need to associate the terms that we commonly use. Why is this useful to an enterprise? Enterprises process great amounts of information. Some of this
11、 information is structured in databases, some of it is unstructured in documents or semi structured in content management systems. However, almost all of it is “local knowledge4“ in that its meaning is agreed within a relatively small, local context. Usually, that context is an individual applicatio
12、n, which may have been purchased or may have been built in-house. One of the most time - and money-consuming5 activities that enterprise information professionals perform is to integrate information from disparate applications. The reason this typically costs a lot of money and takes a lot of time i
13、s not because the information is on different platforms or in different formats - these are very easy to accommodate. The expense is because of subtle, semantic differences between the applications. In some cases, the differences are simple: the same thing is given different names in different syste
14、ms. However, in many cases, the differences are much more subtle. The customer in one system may have an 80 or 90% overlap with the definition of a customer in another system, but its the 10 or 20% where the definition is not the same that causes most of the confusion; and there are many, many terms
15、 that are far harder to reconcile than “6customer.“ So the intent of the enterprise ontology is to provide a “7lingua franca“ to allow, initially, all the systems within an enterprise to talk to each other and, eventually, for the enterprise to talk to its trading partners and the rest of the world.
16、Isnt this just a corporate data dictionary or consortia of data standards? The enterprise ontology does have many similarities in scope to both a Thesis for Masters at HIT however, a common thread in enterprise modelling is an inclusion of assessment of information technology. For example, the use of networked computers to trigger and receive replacement orders along a material supply ch
