- •М инистерство образования и науки РоссиЙской Федерации южно-уральский государственный университет
- •Шакурова г. Л.
- •Челябинск
- •Введение
- •Контрольная работа №1
- •Часть I
- •Контрольная работа №2
- •Часть I
- •Часть I
- •Контрольная работа №4
- •Часть I
- •Контрольная работа №5
- •Часть I
- •Контрольная работа №3
- •Types of Partnerships
- •Active Vocabulary
- •Comprehension Questions
- •Vocabulary Practice
- •Grammar exercises
- •Business Corporations
- •Active Vocabulary
- •Comprehension Questions
- •Vocabulary Practice
- •Grammar exercises
- •Executive’s Functions Dialogue
- •Active Vocabulary
- •Vocabulary exercises
- •Grammar exercises
- •Organization Structure
- •Active Vocabulary
- •Comprehension Questions
- •Vocabulary Practice
- •Grammar exercises
- •Business and Banks
- •Active Vocabulary
- •Vocabulary Practice
- •Grammar exercises
- •Marketing
- •Active Vocabulary
- •Comprehension Questions
- •Vocabulary Practice
- •Dialogue
- •Active Vocabulary
- •Vocabulary Practice
- •Active Vocabulary
- •Family Dialogue
- •Семья Диалог
- •My visiting card Dialogue
- •Моя визитная карточка Диалог
- •Education Dialogue
- •Образование Диалог
- •Learning Foreign Languages Dialogue
- •Изучаем иностранные языки Диалог
- •Choosing a Career Dialogue
- •Выбор профессии Диалог
- •Young People’s Problems Dialogue
- •Проблемы молодёжи Диалог
- •1 Work and jobs
- •2 Ways of working
- •Old and new ways
- •3 Recruitment and selection
- •Recruitment
- •Applying for a job
- •Selection procedures
- •3.1 Complete the crossword. Use appropriate forms of words from а, в and с opposite.
- •3.2 How divide die words in 3.1 into two groups:
- •3.3 Replace the underlined phrases with correct forms of words and expressions from a. В and с opposite.
- •Information Integration for Concurrent Engineering
- •Idef5 Method Report
- •1 Executive Summary
- •1.1 Motivations
- •1.1.1 Motivations for Ontology
- •1.1.2 Motivations for an Ontology Development Method
- •1.2 Benefits of Ontology Development
- •1.3 Overview of the Report
- •1.4 The Connection Between idef5 and Other Methods
- •2 Conceptual Foundations of Ontology
- •2.1 The Nature of Ontological Inquiry
- •Contents
- •1.Чехович д.Р. Английский язык для менеджеров . Ч.1 Челябинск 2008г.
- •2.Антонов о.И. Английский язык для бизнесмена. Москва 2010г.
- •3.К.Дж. Поллак Ролевые и ситуативные диалоги. Санкт-Петербург 2010г.
1.1.2 Motivations for an Ontology Development Method
There is a global vision behind the idea of ontology development. Spearheaded by the
Knowledge Sharing Effort sponsored by the Advanced Research Projects Agency (ARPA),
ontologies are being constructed for a growing number of manufacturing, engineering, and
scientific domains. With such ontologies in place, the advantages noted above could be realized
on a global scale: standardized terminology with precise meanings that are fixed across
industries and across international borders, and the ability to access and reuse a huge number of
existing ontologies in the design and construction of new systems. Central products of this effort
include the Knowledge Interchange Format (KIF), a text-based logical language for the
interchange of knowledge, and Ontolingua, a mechanisms built on KIF for translating knowledge
between different representation languages. The IDEF5 method described in this report has been
designed with the Knowledge Sharing Effort and its vision closely in mind. Most notably, the
IDEF5 elaboration language (see Section 4.2) — the central medium for storing ontology
information collected via the IDEF5 method (see Section 3) — uses KIF as its foundation, and is
thus wholly compatible with the central tools of the Knowledge Sharing Effort. This is
particularly crucial as the concepts behind the effort become even more widely accepted and
implemented.
Another key motivation for an ontology development method is a pragmatic one. Previous
approaches to ontology have almost exclusively been academic in nature. Researchers from
varied fields such as Artificial Intelligence, Philosophy, Database Management, Mathematics,
and Cognitive Science have studied ontology from different perspectives. All previous
approaches have failed to produce a practical method for ontology acquisition. The IDEF5
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method therefore fulfills an important need by providing a cost-effective mechanism to acquire,
store, and maintain scaleable and re-usable ontologies. The intended contribution of IDEF5 is a
method to guide and assist domain experts and knowledge engineers in the construction of both
small and large reusable ontologies. We have designed the IDEF5 technique to be usable by a
personnel at varying skill levels and from a variety of different kinds of organizations.
1.2 Benefits of Ontology Development
Ontology development provides several benefits to organized enterprises. The benefits of
ontology development can be grouped under two headings:
1) Benefits of developing the ontology: The process of ontological analysis is a
discovery process that leads to an enhanced understanding of a domain. The insights
of ontological analysis are useful for (i) identification of problems (diagnosis), (ii)
identification of the problem causes (causal analysis), (iii) identification of
alternative solutions (discovery and design), (iv) consensus and team building, and
(v) knowledge sharing and reuse.
2) Benefits derived from the products of ontology development: The ontologies that
result at the end of an ontology development effort can be used beneficially for (i)
information systems development: ontologies provide a blueprint for developing
more intelligent and integrated information systems, (ii) systems development:
ontologies can be used as reference models for planning, coordinating, and
controlling complex product/process development activities, (iii) business process reengineering:
ontologies provide clues to identifying focus areas for organizational
restructuring and suggest potential high-impact transition paths for restructuring.
Ontological analysis and development have been shown to be useful for: (i) Consensus building,
(ii) Object-oriented design and programming, (iii) Component based programming, (iv) User
interface design, (v) Enterprise information modeling, (vi) Business process reengineering, and
(vii) Conceptual schema design.
