Download or read book Modular Ontology Modeling Meets Upper Ontologies written by Abhilekha Dalal and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Ontology modeling has become a primary approach to schema generation for data integration and knowledge graphs in many application areas. The quest for efficient approaches to model useful and re-useable ontologies has led to different ontology creation proposals over the years. The project focuses on two major approaches, modeling using a top-level ontology, and the other is modular ontology modeling. The traditional approach is based on top-level ontology, and the strategy is to utilize ontology that is comprehensive enough to cover a broad spectrum of domains through their universal terminologies. In this way, all domain ontologies share a common top-level formal ontology in which their respective root nodes can be defined, and hence consistency is assured across the knowledge graph. Nevertheless, the most recent approach is quite different and is a refinement of the eXtreme Ontology Design methodology based on the ontology design patterns. Whole ontology is viewed as a collection of interconnected modules, and modules are developed around the classified fundamental notions according to experts' terminology or the use-case. Having developed modules in a fashion of divide and conquer, these modules are shareable and reusable among some other ontology if needed, and consequently, the ontology being FAIR is justified (findable, accessible, interoperable, and reusable). Although, it has been argued that there are advantages to either paradigm, it is possible to have a combination of both approaches mentioned earlier, depending upon the use-case or the preferences of the ontology engineers. We provide an extension to the Protégé - based modular ontology engineering tool CoModIDE, in order to make it possible for ontology engineers to follow traditional, ad-hoc ontology modeling approach, alongside more modern paradigms such as modular ontology engineering. The project focuses on domain-level ontology developers or organizations dealing with ontology development, which may get help through the plugin in minimizing the tooling gap to unite paradigms and develop robust, flexible ontologies suitable to their needs. As a bridge between the more recently proposed modular ontology modeling approach and more classical ones based on foundational ontologies, it enables a best-of-both-worlds approach for ontology engineering.
Download or read book Modular Ontologies written by Heiner Stuckenschmidt and published by Springer. This book was released on 2009-05-17 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes a collection of research achievements mature enough to provide a firm and reliable basis on modular ontologies. It discusses the recent concepts, theories and techniques for knowledge modularization.
Download or read book Ontology Engineering with Ontology Design Patterns Foundations and Applications written by P. Hitzler and published by IOS Press. This book was released on 2016-09-16 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Modular Ontologies written by Oliver Kutz and published by IOS Press. This book was released on 2010 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Formal Ontologies Meet Industry written by R. Ferrario and published by IOS Press. This book was released on 2009-08-21 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of papers addressing the multi-shaped character of knowledge, new studies and applications in the field of ontology and semantic technology. The semantic dimension of information plays an increasingly central role in a networked, knowledge-centred economy and the need to encode information into computer systems has led to a bias towards Knowledge Engineering (KE) solutions as opposed to Knowledge Management (KM). Although the intersection between KE and KM has led to a general improvement of information systems, the overlap between these two fields has tended to eclipse interest in genuine knowledge processes. For this reason, the fourth FOMI workshop was held to coincide with the 10th European Conference of Knowledge Management (ECKM), with the explicit aim of bringing together KR and KM (sub)-communities, providing a platform for discussion of these topics. Subjects covered include: the evolution of ontologies in accordance with the evolution of the domain they are designed for; the study of the notions of functional composition and decomposition; modular ontologies for architecture; ontology infrastructure for electromagnetics; ontology of beliefs; enterprise modelling; the application of ontology-based methodologies and techniques to knowledge management issues; ontologies for standards and domain ontologies for biomedicine. The double focus on methodological and applicative issues represents the main feature of these FOMI 2009 articles. This comprehensive perspective will advance progress towards new frontiers in information systems and knowledge management, where research and development in formal ontology will play a leading role.
Download or read book OntoCAPE written by Wolfgang Marquardt and published by Springer Science & Business Media. This book was released on 2009-12-16 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Motivation for this Book Ontologies have received increasing attention over the last two decades. Their roots can be traced back to the ancient philosophers, who were interested in a c- ceptualization of the world. In the more recent past, ontologies and ontological engineering have evolved in computer science, building on various roots such as logics, knowledge representation, information modeling and management, and (knowledge-based) information systems. Most recently, largely driven by the next generation internet, the so-called Semantic Web, ontological software engineering has developed into a scientific field of its own, which puts particular emphasis on the theoretical foundations of representation and reasoning, and on the methods and tools required for building ontology-based software applications in diverse domains. Though this field is largely dominated by computer science, close re- tionships have been established with its diverse areas of application, where - searchers are interested in exploiting the results of ontological software engine- ing, particularly to build large knowledge-intensive applications at high productivity and low maintenance effort. Consequently, a large number of scientific papers and monographs have been p- lished in the very recent past dealing with the theory and practice of ontological software engineering. So far, the majority of those books are dedicated to the th- retical foundations of ontologies, including philosophical treatises and their re- tionships to established methods in information systems and ontological software engineering.
Download or read book Formal Ontologies Meet Industry written by Roberta Cuel and published by Springer. This book was released on 2015-07-24 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 7th International Formal Ontologies Meet Industries Workshop held in Berlin, Germany, in August 2015. The 11 full research papers accepted for FOMI 2015 were selected from 18 submissions. The papers focus on theoretical studies of formal ontologies committed to provide a sound basis for industrial applications and to allow formal representation of corporate knowledge, and on business experiences in case studies that single out concrete problems and possible solutions in the creation and deployment of formal ontologies. Overall, they provide valuable insights into the current state of progress in supporting industrial information and knowledge sharing through the development of formal ontologies.
Download or read book Knowledge Graphs and Semantic Web written by Boris Villazón-Terrazas and published by Springer Nature. This book was released on 2021-11-23 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the Third Iberoamerican Conference, KGSWC 2021, held in Kingsville, Texas, USA, in November 2021.* The 22 full and 2 short papers presented were carefully reviewed and selected from 85 submissions. The papers cover topics related to software and its engineering, information systems, software creation and management, World Wide Web, web data description languages, and others. *Due to the Covid-19 pandemic the conference was held virtually.
Download or read book Upper Ontology written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-29 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Upper Ontology In the field of information science, an upper ontology is defined as an ontology that is made up of extremely general terms that are shared by all different types of domains. An important role of an upper ontology is to support broad semantic interoperability among a large number of domain-specific ontologies by offering a common beginning point for the formation of definitions. This is accomplished by giving a starting point that is shared by all of the ontologies in question. The terms in the domain ontology are ranked lower than the terms in the upper ontology; for instance, the classes in the upper ontology are either superclasses or supersets of all of the classes in the domain ontologies. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Upper ontology Chapter 2: Ontology (computer science) Chapter 3: Knowledge representation and reasoning Chapter 4: Ontology language Chapter 5: Ontology engineering Chapter 6: Semantic interoperability Chapter 7: Ontology-based data integration Chapter 8: Formal ontology Chapter 9: General formal ontology Chapter 10: Information model (II) Answering the public top questions about upper ontology. (III) Real world examples for the usage of upper ontology in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of upper ontology' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of upper ontology.
Download or read book Semantic Technologies for Intelligent Industry 4 0 Applications written by Archana Patel and published by CRC Press. This book was released on 2023-10-06 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the world enters the era of big data, there is a serious need to give a semantic perspective to the data in order to find unseen patterns, derive meaningful information, and make intelligent decisions. Semantic technologies offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries. These technologies reduce the problem of large semantic loss in the process of modelling knowledge, and provide sharable, reusable knowledge,and a common understanding of the knowledge. As a result, the interoperability and interconnectivity of the model make it priceless for addressing the issues of querying data. These technologies work with the concepts and relations that are very lose to the working of the human brain. They provide a semantic representation of any data format: unstructured or semi-structured. As a consequence, data becomes real-world entity rather than a string of characters. For these reasons, semantic technologies are highly valuable tools to simplify the existing problems of the industry leading to new opportunities. However, there are some challenges that need to be addressed to make industrial applications and machines smarter. This book aims to provide a roadmap for semantic technologies and highlights the role of these technologies in industry. The book also explores the present and future prospects of these semantic technologies along with providing answers to various questions like: Are semantic technologies useful for the next era (industry 4.0)? Why are semantic technologies so popular and extensively used in the industry? Can semantic technologies make intelligent industrial applications? Which type of problem requires the immediate attention of researchers? Why are semantic technologies very helpful in people’s future lives? This book will potentially serve as an important guide towards the latest industrial applications of semantic technologies for the upcoming generation, and thus becomes a unique resource for scholars, researchers, professionals and practitioners in the field.
Download or read book Modular Ontologies for Spatial Information written by Joana Hois and published by Logos Verlag Berlin GmbH. This book was released on 2013 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial information describes types, relations, and various different aspects of space. This PhD thesis investigates how modular ontologies can model spatial information. Particularly, different perspectives on space are analyzed. A perspectival framework for spatial ontology modules is presented that allows the integration and combination of different facets of spatial information. This work discusses perspectives on space by distinguishing and categorizing quantitative, qualitative, abstract, domain-specific, and modal types of spatial information. Application examples are presented for spatial natural language interpretation, image recognition, and architectural design. The results are achieved by theoretical analyses of spatial domains as well as empirical and experimental findings from different disciplines related to the spatial domain. Technically, methods from formal ontology and ontological engineering are applied.
Download or read book Ontology Epistemology and Teleology for Modeling and Simulation written by Andreas Tolk and published by Springer Science & Business Media. This book was released on 2012-08-10 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, internationally recognized experts in philosophy of science, computer science, and modeling and simulation are contributing to the discussion on how ontology, epistemology, and teleology will contribute to enable the next generation of intelligent modeling and simulation applications. It is well understood that a simulation can provide the technical means to display the behavior of a system over time, including following observed trends to predict future possible states, but how reliable and trustworthy are such predictions? The questions about what we can know (ontology), how we gain new knowledge (epistemology), and what we do with this knowledge (teleology) are therefore illuminated from these very different perspectives, as each experts uses a different facet to look at these challenges. The result of bringing these perspectives into one book is a challenging compendium that gives room for a spectrum of challenges: from general philosophy questions, such as can we use modeling and simulation and other computational means at all to discover new knowledge, down to computational methods to improve semantic interoperability between systems or methods addressing how to apply the recent insights of service oriented approaches to support distributed artificial intelligence. As such, this book has been compiled as an entry point to new domains for students, scholars, and practitioners and to raise the curiosity in them to learn more to fully address the topics of ontology, epistemology, and teleology from philosophical, computational, and conceptual viewpoints.
Download or read book Ontology Modeling in Physical Asset Integrity Management written by Vahid Ebrahimipour and published by Springer. This book was released on 2015-04-20 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting-edge applications of, and up-to-date research on, ontology engineering techniques in the physical asset integrity domain. Though a survey of state-of-the-art theory and methods on ontology engineering, the authors emphasize essential topics including data integration modeling, knowledge representation, and semantic interpretation. The book also reflects novel topics dealing with the advanced problems of physical asset integrity applications such as heterogeneity, data inconsistency, and interoperability existing in design and utilization. With a distinctive focus on applications relevant in heavy industry, Ontology Modeling in Physical Asset Integrity Management is ideal for practicing industrial and mechanical engineers working in the field, as well as researchers and graduate concerned with ontology engineering in physical systems life cycles.
Download or read book Formal Ontologies Meet Industry written by Roberta Ferrario and published by IOS Press. This book was released on 2009 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of papers addressing the multi-shaped character of knowledge, studies and applications in the field of ontology and semantic technology.
Download or read book Ontological Engineering Approach of Developing Ontology of Information Science written by Ahlam F. Sawsaa and published by Anchor Academic Publishing. This book was released on 2015-08 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ontology has been a subject of many studies carried out in artificial intelligence (AI) and information system communities. Ontology has become an important component of the semantic web, covering a variety of knowledge domains. Although building domain ontologies still remains a big challenge with regard to its designing and implementation, there are still many areas that need to create ontologies. Information Science (IS) is one of these areas that need a unified ontology model to facilitate information access among the heterogeneous data resources and share a common understanding of the domain knowledge. Recently, the development of domain ontologies has become increasingly important for knowledge level interoperation and information integration. They provide functional features for AI and knowledge representation. Domain Ontology is a central foundation of growth for the semantic web that provides a general knowledge for correspondence and communication among heterogeneous systems. Particularly with a rise of ontology in the artificial intelligence (AI) domain, it can be seen as an almost inevitable development in computer science and AI in general.
Download or read book Knowledge Seeker Ontology Modelling for Information Search and Management written by Edward H. Y. Lim and published by Springer Science & Business Media. This book was released on 2011-01-31 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Knowledge Seeker is a useful system to develop various intelligent applications such as ontology-based search engine, ontology-based text classification system, ontological agent system, and semantic web system etc. The Knowledge Seeker contains four different ontological components. First, it defines the knowledge representation model ¡V Ontology Graph. Second, an ontology learning process that based on chi-square statistics is proposed for automatic learning an Ontology Graph from texts for different domains. Third, it defines an ontology generation method that transforms the learning outcome to the Ontology Graph format for machine processing and also can be visualized for human validation. Fourth, it defines different ontological operations (such as similarity measurement and text classification) that can be carried out with the use of generated Ontology Graphs. The final goal of the KnowledgeSeeker system framework is that it can improve the traditional information system with higher efficiency. In particular, it can increase the accuracy of a text classification system, and also enhance the search intelligence in a search engine. This can be done by enhancing the system with machine processable ontology.
Download or read book Advances in Modular Ontology Engineering written by Cogan Matthew Shimizu and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Modular ontology engineering is a methodology for producing highly reusable knowledge graph schema. Over the course of this dissertation, we outline a number of contributions that have improved the process to what we see today. These contributions fall within four categories: conveying meaning through schema diagrams, the composition of a modular ontology, the modular ontology engineering methodology, and modular graphical modeling. First, we created an improved method and tool for generating schema diagrams similar to those manually generated by humans and show that most of OWL, as it is used in real world ontologies, are expressible in this format. Next, we examined and improved the ontology design pattern development process. This was accomplished through the development of both patterns and modules, extensions to the ontology design pattern representation language, and a tool that significantly improves the usability of these annotations. This work culminated in MODL: a modular ontology design library, which is a distributable set of curated, well-documented ODPs, both novel and drawn from the ontology design pattern portal. These advances were combined, and building upon the state of the art, to create the Comprehensive Modular Ontology Design IDE (CoModIDE), which is a plugin for the industry-standard ontology editor, Protégé. Finally, as a culmination of the tool and the methodology, we evaluated CoModIDE, where it was shown to significantly improve outcomes for experienced and new ontology developers when developing modular ontologies. Altogether, these research topics, resulted in a methodology, that when executed, produced actually reusable, extendable, and adaptable ontologies.
