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Methodology for the Design and Evaluation of Ontologies (1995)

by Michael Grüninger, Mark S. Fox
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Ontology Development 101: A Guide to Creating Your First Ontology

by Natalya F. Noy, Deborah L. Mcguinness , 2001
"... In recent years the development of ontologies—explicit formal specifications of the terms in the domain and relations among them (Gruber 1993)—has been moving from the realm of Artificial-Intelligence laboratories to the desktops of domain experts. Ontologies have become common on the World-Wide Web ..."
Abstract - Cited by 830 (5 self) - Add to MetaCart
In recent years the development of ontologies—explicit formal specifications of the terms in the domain and relations among them (Gruber 1993)—has been moving from the realm of Artificial-Intelligence laboratories to the desktops of domain experts. Ontologies have become common on the World-Wide Web. The ontologies on the Web range from large taxonomies categorizing Web sites (such as on Yahoo!) to categorizations of products for sale and their features (such as on Amazon.com). The WWW Consortium (W3C) is developing the Resource Description Framework (Brickley and Guha 1999), a language for encoding knowledge on Web pages to make it understandable to electronic agents searching for information. The Defense Advanced Research Projects Agency (DARPA), in conjunction with the W3C, is developing DARPA Agent Markup Language (DAML) by extending RDF with more expressive constructs aimed at facilitating agent interaction on the Web (Hendler and McGuinness 2000). Many disciplines now develop standardized ontologies that domain experts can use to share and annotate information in their fields. Medicine, for example, has produced large, standardized, structured vocabularies such as SNOMED (Price and Spackman 2000) and the semantic network of the Unified Medical Language System (Humphreys and Lindberg 1993). Broad general-purpose ontologies are
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...mpetency questions. One of the ways to determine the scope of the ontology is to sketch a list of questions that a knowledge base based on the ontology should be able to answer, competency questions (=-=Gruninger and Fox 1995-=-). These questions will serve as the litmus test later: Does the ontology contain enough information to answer these types of questions? Do the answers require a particular level of detail or represen...

Enterprise modeling

by Mark S. Fox, Michael Gruninger , 1998
"... ... This article motivates the need for enterprise models and introduces the concepts of generic and deductive enterprise models. It reviews research to date on enterprise modeling and considers in detail the Toronto virtual enterprise effort at the University of Toronto. ..."
Abstract - Cited by 166 (6 self) - Add to MetaCart
... This article motivates the need for enterprise models and introduces the concepts of generic and deductive enterprise models. It reviews research to date on enterprise modeling and considers in detail the Toronto virtual enterprise effort at the University of Toronto.

Ontology-based Knowledge Representation for Bioinformatics

by Robert Stevens, Carole A. Goble, Sean Bechhofer , 2000
"... Much of biology works by applying prior knowledge (`what is known') to an unknown entity, rather than the application of a set of axioms that will elicit knowledge. In addition, the complex biological data stored in bioinformatics databases often requires the addition of knowledge to specify an ..."
Abstract - Cited by 112 (13 self) - Add to MetaCart
Much of biology works by applying prior knowledge (`what is known') to an unknown entity, rather than the application of a set of axioms that will elicit knowledge. In addition, the complex biological data stored in bioinformatics databases often requires the addition of knowledge to specify and constrain the values held in that database. One way of capturing knowledge within bioinformatics applications and databases is the use of ontologies. An ontology is the concrete form of a conceptualisation of a community's knowledge of a domain. This paper aims to introduce the reader to the use of ontologies within bioinformatics. A description of the type of knowledge held in an ontology will be given. The paper will be illustrated throughout with examples taken from bioinformatics and molecular biology, and a survey of current biological ontologies will be presented. From this it will be seen that the use to which the ontology is put largely determines the content of the ontology. Finally, t...

An Organization Ontology for Enterprise Modelling

by Mark S. Fox, Mihai Barbuceanu, Michael Gruninger, Jinxin Lin - Modeling, In: International Conference on Enterprise Integration Modelling Technology 97 , 1997
"... The paper presents our exploration into an organization ontology for the TOVE enterprise model. Its primary focus has been in linking structure and behavior through the concept of empowerment. Empowerment is the right of an organization agent to perform status changing actions. This linkage is criti ..."
Abstract - Cited by 112 (3 self) - Add to MetaCart
The paper presents our exploration into an organization ontology for the TOVE enterprise model. Its primary focus has been in linking structure and behavior through the concept of empowerment. Empowerment is the right of an organization agent to perform status changing actions. This linkage is critical to the unification of enterprise models and their executability. 1.0

Building Ontologies: Towards a Unified Methodology

by Mike Uschold - In 16th Annual Conf. of the British Computer Society Specialist Group on Expert Systems , 1996
"... The use and importance of ontologies is becoming more widespread, however building ontologies is largely a black art. The aim of this paper is to identify and characterise what we currently know and to move towards the longer term goal of developing a comprehensive unified methodology. We first iden ..."
Abstract - Cited by 89 (0 self) - Add to MetaCart
The use and importance of ontologies is becoming more widespread, however building ontologies is largely a black art. The aim of this paper is to identify and characterise what we currently know and to move towards the longer term goal of developing a comprehensive unified methodology. We first identify dimensions for characterising ontologies, to be used as a basis for noting which techniques and guidelines for building ontologies apply in different circumstances. We then give an overview of the current state of the art, noting that most work addresses just a small part of the life cycle. The very few more complete methods are limited to case studies involving single ontologies and they are hard to compare. In the main part of this paper, we examine two such methods and give a framework for comparing and unifying them. We emphasise that different approaches are required for difference circumstances, and give some guidelines for when to use which techniques. We conclude by ...
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...logy into the formal language, Ontolingua [5]. More complete methodologies have been described, where some attempt is made to identify and describe a set of stages in the ontology development process =-=[8, 16, 21, 23]-=-, however these are limited to case studies of the development of a single ontology, or limited to a particular project. A long range goal is to put this all together into a coherent framework which m...

ONTOMETRIC: A Method To Choose The Appropriate Ontology

by Adolfo Lozano-Tello, Asunción Gómez-Pérez , 2004
"... In the last years, the development of ontology-based applications has increased considerably, mainly related to the semantic web. Users currently looking for ontologies in order to incorporate them into their systems, just use their experience and intuition. This makes it difficult for them to justi ..."
Abstract - Cited by 88 (2 self) - Add to MetaCart
In the last years, the development of ontology-based applications has increased considerably, mainly related to the semantic web. Users currently looking for ontologies in order to incorporate them into their systems, just use their experience and intuition. This makes it difficult for them to justify their choices. Mainly, this is due to the lack of methods that help the user to determine which are the most appropriate ontologies for the new system. To solve this deficiency, the present work proposes a method, ONTOMETRIC, which allows the users to measure the suitability of existing ontologies, regarding the requirements of their systems.

Ontology Development for Machine Translation: Ideology and Methodology

by Kavi Mahesh , 1996
"... ..."
Abstract - Cited by 77 (4 self) - Add to MetaCart
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Knowledge Management through Ontologies

by V. Richard Benjamins, Dieter Fensel, Asuncion Gomez Perez - PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON PRACTICAL ASPECTS OF KNOWLEDGE MANAGEMENT , 1998
"... Most enterprises agree that knowledge is an essential asset for success and survival on a increasingly competitive and global market. This awareness is one of the main reasons for the exponential growth of knowledge management in the past decade. Our approach to knowledge management is based o ..."
Abstract - Cited by 76 (1 self) - Add to MetaCart
Most enterprises agree that knowledge is an essential asset for success and survival on a increasingly competitive and global market. This awareness is one of the main reasons for the exponential growth of knowledge management in the past decade. Our approach to knowledge management is based on ontologies, and makes knowledge assets intelligently accessible to people in organizations. Most company-vital knowledge resides in the heads of people, and thus successful knowledge management does not only consider technical aspects, but also social ones. In this paper, we describe an approach to intelligent knowledge management that explicitly takes into account the social issues involved. The proof of concept is given by a large-scale initiative involving knowledge management of a virtual organization.

Methodologies For Ontology Development

by Dean Jones, Trevor Bench-capon, Pepijn Visser , 1998
"... s. The Plinius ontology was developed to support the translation of natural-language sentences into expressions in a knowledge representation language [31]. Those design decisions taken during the development of the ontology which appeared to be domain-independent have been proposed as general ontol ..."
Abstract - Cited by 67 (6 self) - Add to MetaCart
s. The Plinius ontology was developed to support the translation of natural-language sentences into expressions in a knowledge representation language [31]. Those design decisions taken during the development of the ontology which appeared to be domain-independent have been proposed as general ontology development principles. These are: (1) conflicting assertions about the same entity can be more readily discovered if the concepts are defined as fully as possible. (2) pre-existing formal theories are taken as given and a domain ontology does not specify the semantics of logical constants. (3) an ontology should be independent of any particular knowledge representation language. (4) the principle of the conceptual construction kit states that an ontology consists of primitives concepts and construction rules that allow the definition of all other concepts in terms of these primitives. (5) a bottom-up approach is taken in order that the ontology exhibits sufficient completeness for the...
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...sent a (fairly comprehensive) survey. 2.1. TOVE Based on experiences in the development of TOVE (Toronto Virtual Enterprise) the following approach to engineering ontologies is developed ([15], [16], =-=[17]-=-, [30]): (1) motivating scenarios: the start point is a set of problems encountered in a particular enterprise, which are often in the form of story problems or examples. (2) informal competency quest...

An Ontological Approach to Domain Engineering

by Ricardo De Almeida Falbo, Giancarlo Guizzardi, Katia Cristina Duarte - In Proceedings of the 14th International Conference on Software Engineering and Knowledge Engineering , 2002
"... Domain engineering aims to support systematic reuse, focusing on modeling common knowledge in a problem domain. Ontologies have also been pointed as holding great promise for software reuse. In this paper, we present ODE (Ontology-based Domain Engineering), an ontological approach for domain enginee ..."
Abstract - Cited by 60 (14 self) - Add to MetaCart
Domain engineering aims to support systematic reuse, focusing on modeling common knowledge in a problem domain. Ontologies have also been pointed as holding great promise for software reuse. In this paper, we present ODE (Ontology-based Domain Engineering), an ontological approach for domain engineering that aims to join ontologies and object-oriented technology.
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... and requirement specification: concerns to clearly identify the ontology purpose and its intended use, that is, the competence of the ontology. To do that, we suggest the use of competency questions =-=[7]. -=-• Ontology capture: the goal is to capture the domain conceptualization based on the ontology competence. The relevant domain entities (e.g. concepts, relations, properties, role) should be identifi...

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