Empirical Ontology Design Patterns

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Empirical Ontology Design Patterns

Author : V.A. Carriero
Publisher : IOS Press
Page : 154 pages
File Size : 42,6 Mb
Release : 2024-01-26
Category : Computers
ISBN : 9781643684796

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Empirical Ontology Design Patterns by V.A. Carriero Pdf

In recent years, knowledge graphs (KGs) and ontologies have been widely adopted for modeling many kinds of domain. They are frequently released openly, something which benefits those who are starting new projects, because it offers them a wide choice of ontology reuse and the possibility to link to existing data. Understanding the content of an ontology or a knowledge graph is far from straightforward, however, and existing methods address this issue only partially, while exploring and comparing multiple ontologies can be a tedious manual task. This book, Empirical Ontology Design Patterns, starts from the premise that identifying the Ontology Design Patterns (ODPs) used in an ontology or a knowledge graph will go some way to addressing this problem. Its main focus is to provide tools which will effectively support the task of automatically identifying ODPs in existing ontologies and knowledge graphs. The book analyses the role of ODPs in ontology engineering, placing this analysis in the wider context of existing approaches to ontology reuse and implementation. It introduces a novel method for extracting empirical ontology design patterns (EODPs) from ontologies, and another for extracting EODPs from knowledge graphs whose schemas are implicit. Both methods are applied to ontologies and knowledge graphs frequently adopted and reused, such as Wikidata. The book also offers an ontology which can be used as a basis for annotating ODPs in ontologies and knowledge graphs, whether manually or automatically. The book will be of interest to all those whose work involves the use or reuse of ontologies and knowledge graphs.

Ontology Engineering with Ontology Design Patterns: Foundations and Applications

Author : P. Hitzler,A. Gangemi,K. Janowicz
Publisher : IOS Press
Page : 388 pages
File Size : 48,7 Mb
Release : 2016-09-16
Category : Computers
ISBN : 9781614996767

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Ontology Engineering with Ontology Design Patterns: Foundations and Applications by P. Hitzler,A. Gangemi,K. Janowicz Pdf

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 Ontology Design and Patterns

Author : K. Hammar,P. Hitzler,A. Krisnadhi
Publisher : IOS Press
Page : 162 pages
File Size : 47,8 Mb
Release : 2017-12-27
Category : Computers
ISBN : 9781614998266

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Advances in Ontology Design and Patterns by K. Hammar,P. Hitzler,A. Krisnadhi Pdf

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.

Advances in Pattern-Based Ontology Engineering

Author : E. Blomqvist,T. Hahmann,K. Hammar
Publisher : IOS Press
Page : 406 pages
File Size : 41,7 Mb
Release : 2021-06-03
Category : Computers
ISBN : 9781643681757

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Advances in Pattern-Based Ontology Engineering by E. Blomqvist,T. Hahmann,K. Hammar Pdf

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

Author : Karl Hammar
Publisher : Linköping University Electronic Press
Page : 238 pages
File Size : 55,8 Mb
Release : 2017-09-06
Category : Electronic
ISBN : 9789176854549

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Content Ontology Design Patterns: Qualities, Methods, and Tools by Karl Hammar Pdf

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.

The Semantic Web – ISWC 2019

Author : Chiara Ghidini,Olaf Hartig,Maria Maleshkova,Vojtěch Svátek,Isabel Cruz,Aidan Hogan,Jie Song,Maxime Lefrançois,Fabien Gandon
Publisher : Springer Nature
Page : 754 pages
File Size : 52,6 Mb
Release : 2019-10-17
Category : Computers
ISBN : 9783030307936

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The Semantic Web – ISWC 2019 by Chiara Ghidini,Olaf Hartig,Maria Maleshkova,Vojtěch Svátek,Isabel Cruz,Aidan Hogan,Jie Song,Maxime Lefrançois,Fabien Gandon Pdf

The two-volume set of LNCS 11778 and 11779 constitutes the refereed proceedings of the 18th International Semantic Web Conference, ISWC 2019, held in Auckland, New Zealand, in October 2019. The ISWC conference is the premier international forum for the Semantic Web / Linked Data Community. The total of 74 full papers included in this volume was selected from 283 submissions. The conference is organized in three tracks: for the Research Track 42 full papers were selected from 194 submissions; the Resource Track contains 21 full papers, selected from 64 submissions; and the In-Use Track features 11 full papers which were selected from 25 submissions to this track.

Adaptive Information

Author : Jeffrey T. Pollock,Ralph Hodgson
Publisher : John Wiley & Sons
Page : 440 pages
File Size : 46,9 Mb
Release : 2004-11-11
Category : Technology & Engineering
ISBN : 9780471714200

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Adaptive Information by Jeffrey T. Pollock,Ralph Hodgson Pdf

New Paradigm for considering application integration and B2Bproblems Heightens the importance of conveying meaning betweensystems Addresses movement in the EAI space toward more data handlingcapabilities Offers a solution for the multitude of managers disconnectedwith the latest technologies Leverages the technical advances made in complex dataintegration over 15 years Shifts the focus from technology solutions to informationsolutions Relies heavily on the use of practical examples, tips,definitions, and soapbox excerpts throughout the main body oftext

Perspectives on Ontology Learning

Author : J. Lehmann,J. Völker
Publisher : IOS Press
Page : 299 pages
File Size : 43,8 Mb
Release : 2014-04-03
Category : Computers
ISBN : 9781614993797

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Perspectives on Ontology Learning by J. Lehmann,J. Völker Pdf

Perspectives on Ontology Learning brings together researchers and practitioners from different communities − natural language processing, machine learning, and the semantic web − in order to give an interdisciplinary overview of recent advances in ontology learning. Starting with a comprehensive introduction to the theoretical foundations of ontology learning methods, the edited volume presents the state-of-the-start in automated knowledge acquisition and maintenance. It outlines future challenges in this area with a special focus on technologies suitable for pushing the boundaries beyond the creation of simple taxonomical structures, as well as on problems specifically related to knowledge modeling and representation using the Web Ontology Language. Perspectives on Ontology Learning is designed for researchers in the field of semantic technologies and developers of knowledge-based applications. It covers various aspects of ontology learning including ontology quality, user interaction, scalability, knowledge acquisition from heterogeneous sources, as well as the integration with ontology engineering methodologies.

Semantic Data Mining

Author : A. Ławrynowicz
Publisher : IOS Press
Page : 210 pages
File Size : 55,9 Mb
Release : 2017-04-18
Category : Computers
ISBN : 9781614997467

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Semantic Data Mining by A. Ławrynowicz Pdf

Ontologies are now increasingly used to integrate, and organize data and knowledge, particularly in data and knowledge-intensive applications in both research and industry. The book is devoted to semantic data mining – a data mining approach where domain ontologies are used as background knowledge, and where the new challenge is to mine knowledge encoded in domain ontologies and knowledge graphs, rather than only purely empirical data. The introductory chapters of the book provide theoretical foundations of both data mining and ontology representation. Taking a unified perspective, the book then covers several methods for semantic data mining, addressing tasks such as pattern mining, classification and similarity-based approaches. It attempts to provide state-of-the-art answers to specific challenges and peculiarities of data mining with use of ontologies, in particular: How to deal with incompleteness of knowledge and the so-called Open World Assumption? What is a truly “semantic” similarity measure? The book contains several chapters with examples of applications of semantic data mining. The examples start from a scenario with moderate use of lightweight ontologies for knowledge graph enrichment and end with a full-fledged scenario of an intelligent knowledge discovery assistant using complex domain ontologies for meta-mining, i.e., an ontology-based meta-learning approach to full data mining processes. The book is intended for researchers in the fields of semantic technologies, knowledge engineering, data science, and data mining, and developers of knowledge-based systems and applications.

Formalization of Design Patterns by Means of Ontologies

Author : Holger Kampffmeyer
Publisher : GRIN Verlag
Page : 108 pages
File Size : 42,6 Mb
Release : 2012-07-19
Category : Computers
ISBN : 9783656998723

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Formalization of Design Patterns by Means of Ontologies by Holger Kampffmeyer Pdf

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.

Applications and Practices in Ontology Design, Extraction, and Reasoning

Author : G. Cota,M. Daquino,G.L. Pozzato
Publisher : IOS Press
Page : 244 pages
File Size : 44,5 Mb
Release : 2020-12-02
Category : Computers
ISBN : 9781643681436

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Applications and Practices in Ontology Design, Extraction, and Reasoning by G. Cota,M. Daquino,G.L. Pozzato Pdf

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.

Knowledge Engineering and Knowledge Management

Author : Krzysztof Janowicz,Stefan Schlobach,Patrick Lambrix,Eero Hyvönen
Publisher : Springer
Page : 620 pages
File Size : 40,5 Mb
Release : 2014-11-01
Category : Computers
ISBN : 9783319137049

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Knowledge Engineering and Knowledge Management by Krzysztof Janowicz,Stefan Schlobach,Patrick Lambrix,Eero Hyvönen Pdf

This book constitutes the refereed proceedings of the 19th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2014, held in Linköping, Sweden, in November 2014. The 24 full papers and 21 short papers presented were carefully reviewed and selected from 138 submissions. The papers cover all aspects of eliciting, acquiring, modeling, and managing knowledge, the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing, intelligent information integration, personal digital assistance systems, and a variety of other related topics.

Exploiting Semantic Web Knowledge Graphs in Data Mining

Author : P. Ristoski
Publisher : IOS Press
Page : 246 pages
File Size : 42,5 Mb
Release : 2019-06-28
Category : Computers
ISBN : 9781614999812

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Exploiting Semantic Web Knowledge Graphs in Data Mining by P. Ristoski Pdf

Data Mining and Knowledge Discovery in Databases (KDD) is a research field concerned with deriving higher-level insights from data. The tasks performed in this field are knowledge intensive and can benefit from additional knowledge from various sources, so many approaches have been proposed that combine Semantic Web data with the data mining and knowledge discovery process. This book, Exploiting Semantic Web Knowledge Graphs in Data Mining, aims to show that Semantic Web knowledge graphs are useful for generating valuable data mining features that can be used in various data mining tasks. In Part I, Mining Semantic Web Knowledge Graphs, the author evaluates unsupervised feature generation strategies from types and relations in knowledge graphs used in different data mining tasks such as classification, regression, and outlier detection. Part II, Semantic Web Knowledge Graphs Embeddings, proposes an approach that circumvents the shortcomings introduced with the approaches in Part I, developing an approach that is able to embed complete Semantic Web knowledge graphs in a low dimensional feature space where each entity and relation in the knowledge graph is represented as a numerical vector. Finally, Part III, Applications of Semantic Web Knowledge Graphs, describes a list of applications that exploit Semantic Web knowledge graphs like classification and regression, showing that the approaches developed in Part I and Part II can be used in applications in various domains. The book will be of interest to all those working in the field of data mining and KDD.

Handbook on Ontologies

Author : Steffen Staab,Rudi Studer
Publisher : Springer Science & Business Media
Page : 661 pages
File Size : 55,6 Mb
Release : 2013-04-17
Category : Computers
ISBN : 9783540247500

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Handbook on Ontologies by Steffen Staab,Rudi Studer Pdf

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.

Modular Ontologies

Author : Oliver Kutz
Publisher : IOS Press
Page : 116 pages
File Size : 52,8 Mb
Release : 2010
Category : Computers
ISBN : 9781607505433

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Modular Ontologies by Oliver Kutz Pdf

Title page; Preface; Contents; Towards Ontology Use, Re-Use and Abuse in a Computational Creativity Collective; Ontology Modularity, Information Flow, and Interaction-Situated Semantics; The Modular Structure of an Ontology: An Empirical Study; Extracting and Merging Contextualized Ontology Modules; A Metric Suite for Evaluating Cohesion and Coupling in Modular Ontologies; Towards a Functional Approach to Modular Ontologies Using Institutions; Introducing Ontology Best Practices and Design Patterns into Robotics: USAREnv; Modular Upper-Level Ontologies for Semantic Complex Event Processing.