Proceedings ArticleDOI
A faceted approach to building ontologies
Rubén Prieto-Díaz
- pp 458-465
TLDR
This paper relates domain analysis and ontologies, illustrates a step in the domain analysis method for identifying and categorizing concepts, and describes how this step, borrowed from library science, is incorporated into thedomain analysis method.Abstract:
An ontology can be defined as a conceptualization of a domain or subject area typically captured in an abstract model of how people think about things in the domain. Humans have been producing ontologies for millennia to understand and explain our rationale and environment. Only recently has the process of building ontologies become a research topic of interest. Today, ontologies are built very much ad-hoc. A terminology is first developed providing a controlled vocabulary for the subject area or domain of interest, then it is organized into a taxonomy where key concepts are identified, and finally these concepts are defined and related to create an ontology. This paper describes how a domain analysis method based on faceted classification can be used for building ontologies. It relates domain analysis and ontologies, illustrates a step in the domain analysis method for identifying and categorizing concepts, and describes how this step, borrowed from library science, is incorporated into the domain analysis method. The paper also gives an overview of the method and describes a tool for automating parts of the process.read more
Citations
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Journal ArticleDOI
Women, Fire, and Dangerous Things: What Categories Reveal about the Mind
TL;DR: In this article, women, fire, and dangerous things: What Categories Reveal about the Mind are discussed and discussed in the context of women's empowerment and women's mental health.
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The need for a faceted classification as the basis of all methods of information retrieval
TL;DR: The study finds that faceted systems are now very common, with a major increase in their use over the last 15 years.
Journal ArticleDOI
Improving legal information retrieval using an ontological framework
TL;DR: An ontological framework to enhance the user’s query for retrieval of truly relevant legal judgments has been proposed in this paper and empirical results demonstrate that ontology-based searches generate significantly better results than traditional search methods.
Journal ArticleDOI
Ontology for E-Learning: A Bayesian Approach
TL;DR: The improvements related to the introduction of ontologies formalism in the e-learning field are discussed, and a novel algorithm for ontology building through the use of Bayesian networks is shown.
Book ChapterDOI
Ontology-Based feature modeling and application-oriented tailoring
TL;DR: This work proposes an ontology-based feature modeling method supporting application-oriented tailoring, in which features are classified into several categories and are all precisely defined in the OWL-based meta-model.
References
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Journal ArticleDOI
Women, Fire, and Dangerous Things: What Categories Reveal about the Mind
ReportDOI
Feature-Oriented Domain Analysis (FODA) Feasibility Study
TL;DR: This report will establish methods for performing a domain analysis and describe the products of the domain analysis process to illustrate the application of domain analysis to a representative class of software systems.
Journal ArticleDOI
Women, fire, and dangerous things : what categories reveal about the mind
TL;DR: In this article, a pengetahuan kognitif adalah tergolong bidang baru ying mengkaji pikiran atau nalar ying memperoleh pen getahuan dari bidang-bidang ilmu seperti psikologi, linguistik, antropologi and filsafat, and juga ilmu komputer.
Book
Information Retrieval: Data Structures and Algorithms
TL;DR: For programmers and students interested in parsing text, automated indexing, its the first collection in book form of the basic data structures and algorithms that are critical to the storage and retrieval of documents.
Journal ArticleDOI
Classifying Software for Reusability
Rubén Prieto-Díaz,Peter Freeman +1 more
TL;DR: The faceted scheme described here is a partial solution to the classification and retrieval problem of software component reuse.