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Ontology Design Patterns with Applications to Software Measurement

Ontology Design Patterns with Applications to Software Measurement
Author: Mazen Salem Alzyoud
Publisher:
Total Pages: 140
Release: 2015
Genre: Ontologies (Information retrieval)
ISBN:

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Ontologies are a cornerstone of the semantic web. Ontologies are helpful in sharing and understanding domain concepts, and they also enable reusability of domain knowledge. Furthermore, ontologies enable logical inferencing by using existing logic reasoning mechanisms. This inferencing may be used to discover new knowledge and to check and remove inconsistent content. Ontology design is a crucial research area for semantic technologies. Ontology Design Patterns (ODPs) aim to support the process of ontology engineering, and may also be used to improve the existing ontologies. We design a procedure to help in creating content ontology design patterns, and we use this procedure to create new content ontology design patterns for Course and for Professor in the University/Academy domain, which work as a generic cases for developing ontology design patterns. Furthermore, we promote the process of reusability, by developing recommended guidelines for how to select ontology design patterns. Ontologies are usually used to organize information about a domain. We want to extend the use of ontologies in the area of ontology reasoning, so that ontologies can be effectively used in organizing and directing processes. By using axioms, ontology reasoning can play a key role in answering queries. Also, the reasoning checks the consistency and finds the logical contradictions. We take product quality metrics in the software measurement domain as an example to create a correct and consistent ontology, which may be used to improve the interaction between metrics in the software development process. Architectural patterns describe how to organize an ontology. These types of patterns can be used in the conceptual modeling phase and at the beginning of the ontology design phase. We introduce a new architectural ontology design pattern to characterize the overall structure of a measurement program ontology in the software measurement domain, which may be used to implement an effective software measurement program for use during software development.


Ontology Engineering with Ontology Design Patterns: Foundations and Applications

Ontology Engineering with Ontology Design Patterns: Foundations and Applications
Author: P. Hitzler
Publisher: IOS Press
Total Pages: 388
Release: 2016-09-16
Genre: Computers
ISBN: 1614996768

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The use of ontologies for data and knowledge organization has become ubiquitous in many data-intensive and knowledge-driven application areas, in science, industry, and the humanities. At the same time, ontology engineering best practices continue to evolve. In particular, modular ontology modeling based on ontology design patterns is establishing itself as an approach for creating versatile and extendable ontologies for data management and integration. This book is the very first comprehensive treatment of Ontology Engineering with Ontology Design Patterns. It contains both advanced and introductory material accessible for readers with only a minimal background in ontology modeling. Some introductory material is written in the style of tutorials, and specific chapters are devoted to examples and to applications. Other chapters convey the state of the art in research regarding ontology design patterns. The editors and the contributing authors include the leading contributors to the development of ontology-design-pattern-driven ontology engineering.


Advances in Pattern-Based Ontology Engineering

Advances in Pattern-Based Ontology Engineering
Author: E. Blomqvist
Publisher: IOS Press
Total Pages: 406
Release: 2021-06-03
Genre: Computers
ISBN: 1643681753

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Ontologies are the corner stone of data modeling and knowledge representation, and engineering an ontology is a complex task in which domain knowledge, ontological accuracy and computational properties need to be carefully balanced. As with any engineering task, the identification and documentation of common patterns is important, and Ontology Design Patterns (ODPs) provide ontology designers with a strong connection to requirements and a better communication of their semantic content and intent. This book, Advances in Pattern-Based Ontology Engineering, contains 23 extended versions of selected papers presented at the annual Workshop on Ontology Design and Patterns (WOP) between 2017 and 2020. This yearly event, which attracts a large number of researchers and professionals in the field of ontology engineering and ontology design patterns, covers issues related to quality aspects of ontology engineering and ODPs for data and knowledge representation, and is usually co-located with the International Semantic Web Conference (ISWC), apart from WOP 2020, which was held virtually due to the COVID-19 pandemic. Topics covered by the papers collected here focus on recent advances in ontology design and patterns, and range from a method to instantiate content patterns, through a proposal on how to document a content pattern, to a number of patterns emerging in ontology modeling in various situations and applications. The book provides an overview of important advances in ontology engineering and ontology design patterns, and will be of interest to all those working in the field.


Content Ontology Design Patterns: Qualities, Methods, and Tools

Content Ontology Design Patterns: Qualities, Methods, and Tools
Author: Karl Hammar
Publisher: Linköping University Electronic Press
Total Pages: 238
Release: 2017-09-06
Genre:
ISBN: 917685454X

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Ontologies are formal knowledge models that describe concepts and relationships and enable data integration, information search, and reasoning. Ontology Design Patterns (ODPs) are reusable solutions intended to simplify ontology development and support the use of semantic technologies by ontology engineers. ODPs document and package good modelling practices for reuse, ideally enabling inexperienced ontologists to construct high-quality ontologies. Although ODPs are already used for development, there are still remaining challenges that have not been addressed in the literature. These research gaps include a lack of knowledge about (1) which ODP features are important for ontology engineering, (2) less experienced developers' preferences and barriers for employing ODP tooling, and (3) the suitability of the eXtreme Design (XD) ODP usage methodology in non-academic contexts. This dissertation aims to close these gaps by combining quantitative and qualitative methods, primarily based on five ontology engineering projects involving inexperienced ontologists. A series of ontology engineering workshops and surveys provided data about developer preferences regarding ODP features, ODP usage methodology, and ODP tooling needs. Other data sources are ontologies and ODPs published on the web, which have been studied in detail. To evaluate tooling improvements, experimental approaches provide data from comparison of new tools and techniques against established alternatives. The analysis of the gathered data resulted in a set of measurable quality indicators that cover aspects of ODP documentation, formal representation or axiomatisation, and usage by ontologists. These indicators highlight quality trade-offs: for instance, between ODP Learnability and Reusability, or between Functional Suitability and Performance Efficiency. Furthermore, the results demonstrate a need for ODP tools that support three novel property specialisation strategies, and highlight the preference of inexperienced developers for template-based ODP instantiation---neither of which are supported in prior tooling. The studies also resulted in improvements to ODP search engines based on ODP-specific attributes. Finally, the analysis shows that XD should include guidance for the developer roles and responsibilities in ontology engineering projects, suggestions on how to reuse existing ontology resources, and approaches for adapting XD to project-specific contexts.


Formalization of Design Patterns by Means of Ontologies

Formalization of Design Patterns by Means of Ontologies
Author: Holger Kampffmeyer
Publisher: GRIN Verlag
Total Pages: 111
Release: 2012-07-19
Genre: Computers
ISBN: 3656998728

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Diploma Thesis from the year 2007 in the subject Computer Science - Software, grade: 1, Dresden Technical University, language: English, abstract: Design patterns have proven to be important building blocks and means of reuse in software design. However, the mere number of available design patterns complicates the decision-making which design pattern to choose and demands tools assisting in this process. We hence propose a knowledge-based formal representation of design patterns, a representation that is accessible by tools. Existing approaches to formalizing design patterns generally cover solely the formal description of the structure of design patterns. However, an important part of a design pattern description is the intent section, because the intent describes what the design pattern does and which design problems a pattern addresses. In this work, we develop a novel approach of formalizing design patterns by their intent. The formal representation is based on OWL, the web ontology language. The developed ontology can serve as support for the decision-making of choosing the right design pattern. We furthermore develop a tool that uses the ontology as a knowledge-base. The tool allows the user to visually describe design problems and gives suggestions of design patterns that solve a given design problem.


Ontologies for Software Engineering and Software Technology

Ontologies for Software Engineering and Software Technology
Author: Coral Calero
Publisher: Springer Science & Business Media
Total Pages: 344
Release: 2006-10-12
Genre: Computers
ISBN: 3540345183

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This book covers two applications of ontologies in software engineering and software technology: sharing knowledge of the problem domain and using a common terminology among all stakeholders; and filtering the knowledge when defining models and metamodels. By presenting the advanced use of ontologies in software research and software projects, this book is of benefit to software engineering researchers in both academia and industry.


Ontology Representation

Ontology Representation
Author: Rinke Hoekstra
Publisher: IOS Press
Total Pages: 248
Release: 2009
Genre: Computers
ISBN: 1607500132

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Based on author's thesis from the Dutch Research School for Information and Knowledge Systems.


Handbook on Ontologies

Handbook on Ontologies
Author: Steffen Staab
Publisher: Springer Science & Business Media
Total Pages: 661
Release: 2013-04-17
Genre: Computers
ISBN: 3540247505

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An ontology is a description (like a formal specification of a program) of concepts and relationships that can exist for an agent or a community of agents. The concept is important for the purpose of enabling knowledge sharing and reuse. The Handbook on Ontologies provides a comprehensive overview of the current status and future prospectives of the field of ontologies. The handbook demonstrates standards that have been created recently, it surveys methods that have been developed and it shows how to bring both into practice of ontology infrastructures and applications that are the best of their kind.


Advances in Ontology Design and Patterns

Advances in Ontology Design and Patterns
Author: K. Hammar
Publisher: IOS Press
Total Pages: 162
Release: 2017-12-27
Genre: Computers
ISBN: 1614998264

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The study of patterns in the context of ontology engineering for the semantic web was pioneered more than a decade ago by Blomqvist, Sandkuhl and Gangemi. Since then, this line of research has flourished and led to the development of ontology design patterns, knowledge patterns, and linked data patterns: the patterns as they are known by ontology designers, knowledge engineers, and linked data publishers, respectively. A key characteristic of those patterns is that they are modular and reusable solutions to recurrent problems in ontology engineering and linked data publishing. This book contains recent contributions which advance the state of the art on theory and use of ontology design patterns. The papers collected in this book cover a range of topics, from a method to instantiate content patterns, a proposal on how to document a content pattern, to a number of patterns emerging in ontology modeling in various situations.


Applications and Practices in Ontology Design, Extraction, and Reasoning

Applications and Practices in Ontology Design, Extraction, and Reasoning
Author: G. Cota
Publisher: IOS Press
Total Pages: 244
Release: 2020-12-02
Genre: Computers
ISBN: 1643681435

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Semantic Web technologies enable people to create data stores on the Web, build vocabularies, and write rules for handling data. They have been in use for several years now, and knowledge extraction and knowledge discovery are two key aspects investigated in a number of research fields which can potentially benefit from the application of semantic web technologies, and specifically from the development and reuse of ontologies. This book, Applications and Practices in Ontology Design, Extraction, and Reasoning, has as its main goal the provision of an overview of application fields for semantic web technologies. In particular, it investigates how state-of-the-art formal languages, models, methods, and applications of semantic web technologies reframe research questions and approaches in a number of research fields. The book also aims to showcase practical tools and background knowledge for the building and querying of ontologies. The first part of the book presents the state-of-the-art of ontology design, applications and practices in a number of communities, and in doing so it provides an overview of the latest approaches and techniques for building and reusing ontologies according to domain-dependent and independent requirements. Once the data is represented according to ontologies, it is important to be able to query and reason about them, also in the presence of uncertainty, vagueness and probabilities. The second part of the book covers some of the latest advances in the fields of ontology, semantics and reasoning, without losing sight of the book’s practical goals.