Ontology Engineering in a Networked World

Ontology Engineering in a Networked World

This book by Suárez-Figueroa et al. provides the necessary methodological and technological support for the development and use of ontology networks, which ontology developers need in this distributed environment.

Author: Mari Carmen Suárez-Figueroa

Publisher: Springer Science & Business Media

ISBN: 9783642247934

Category: Computers

Page: 444

View: 557

The Semantic Web is characterized by the existence of a very large number of distributed semantic resources, which together define a network of ontologies. These ontologies in turn are interlinked through a variety of different meta-relationships such as versioning, inclusion, and many more. This scenario is radically different from the relatively narrow contexts in which ontologies have been traditionally developed and applied, and thus calls for new methods and tools to effectively support the development of novel network-oriented semantic applications. This book by Suárez-Figueroa et al. provides the necessary methodological and technological support for the development and use of ontology networks, which ontology developers need in this distributed environment. After an introduction, in its second part the authors describe the NeOn Methodology framework. The book’s third part details the key activities relevant to the ontology engineering life cycle. For each activity, a general introduction, methodological guidelines, and practical examples are provided. The fourth part then presents a detailed overview of the NeOn Toolkit and its plug-ins. Lastly, case studies from the pharmaceutical and the fishery domain round out the work. The book primarily addresses two main audiences: students (and their lecturers) who need a textbook for advanced undergraduate or graduate courses on ontology engineering, and practitioners who need to develop ontologies in particular or Semantic Web-based applications in general. Its educational value is maximized by its structured approach to explaining guidelines and combining them with case studies and numerous examples. The description of the open source NeOn Toolkit provides an additional asset, as it allows readers to easily evaluate and apply the ideas presented.
Categories: Computers

Ontology Engineering

Ontology Engineering

This book is designed to provide the foundations for ontology engineering.

Author: Elisa F. Kendall

Publisher: Morgan & Claypool Publishers

ISBN: 9781681733098

Category: Computers

Page: 120

View: 959

Ontologies have become increasingly important as the use of knowledge graphs, machine learning, natural language processing (NLP), and the amount of data generated on a daily basis has exploded. As of 2014, 90% of the data in the digital universe was generated in the two years prior, and the volume of data was projected to grow from 3.2 zettabytes to 40 zettabytes in the next six years. The very real issues that government, research, and commercial organizations are facing in order to sift through this amount of information to support decision-making alone mandate increasing automation. Yet, the data profiling, NLP, and learning algorithms that are ground-zero for data integration, manipulation, and search provide less than satisfactory results unless they utilize terms with unambiguous semantics, such as those found in ontologies and well-formed rule sets. Ontologies can provide a rich "schema" for the knowledge graphs underlying these technologies as well as the terminological and semantic basis for dramatic improvements in results. Many ontology projects fail, however, due at least in part to a lack of discipline in the development process. This book, motivated by the Ontology 101 tutorial given for many years at what was originally the Semantic Technology Conference (SemTech) and then later from a semester-long university class, is designed to provide the foundations for ontology engineering. The book can serve as a course textbook or a primer for all those interested in ontologies.
Categories: Computers

Ontology Engineering

Ontology Engineering

Ontology Engineering: From an Art to a Craft The Case of the Data Mining
Ontologies Larisa Soldatova1, Pance Panov2(B) ... on a set of key issues that we
think are important and need to be addressed by the ontology engineering
community.

Author: Valentina Tamma

Publisher: Springer

ISBN: 9783319332451

Category: Computers

Page: 183

View: 493

This book constitutes the thoroughly refereed post-workshop proceedings of the 12th OWL: Experiences and Directions Workshop, OWLED 2015, held in Bethlehem, PA, USA, in October 2015, co-located with ISWC 2015, the International Semantic Web Conference. The 18 revised papers presented were carefully reviewed and selected from 35 initial submissions. Bridging the gap between ontology engineering practices and software engineering, the papers describe reuse methods employed throughout the ontology development cycle; modeling / terminological decisions, alignment and comparison between ontologies, how ontologies are stored, versioned, distributed, and consumed over the Web.
Categories: Computers

Ontological Engineering

Ontological Engineering

Primary goals of this book are to acquaint students, researchers and developers of information systems with the basic concepts and major issues of Ontological Engineering, as well as to make ontologies more understandable to those computer ...

Author: Asunción Gómez-Pérez

Publisher: Springer Science & Business Media

ISBN: 9781852338404

Category: Computers

Page: 404

View: 557

Ontological Engineering refers to the set of activities that concern the ontology development process, the ontology life cycle, the methods and methodologies for building ontologies, and the tool suites and languages that support them. During the last decade, increasing attention has been focused on ontologies and Ontological Engineering. Ontologies are now widely used in Knowledge Engineering, Artificial Intelligence and Computer Science; in applications related to knowledge management, natural language processing, e-commerce, intelligent integration information, information retrieval, integration of databases, b- informatics, and education; and in new emerging fields like the Semantic Web. Primary goals of this book are to acquaint students, researchers and developers of information systems with the basic concepts and major issues of Ontological Engineering, as well as to make ontologies more understandable to those computer science engineers that integrate ontologies into their information systems. We have paid special attention to the influence that ontologies have on the Semantic Web. Pointers to the Semantic Web appear in all the chapters, but specially in the chapter on ontology languages and tools.
Categories: Computers

Legal Ontology Engineering

Legal Ontology Engineering

Methodologies, Modelling Trends, and the Ontology of Professional Judicial
Knowledge Núria Casellas ... In The Sixth Summer School on Ontological
Engineering and the Semantic Web (SSSW'08), July 6, 2008–July 12, 2008,
Cercedilla, ...

Author: Núria Casellas

Publisher: Springer Science & Business Media

ISBN: 9400714971

Category: Law

Page: 298

View: 985

Enabling information interoperability, fostering legal knowledge usability and reuse, enhancing legal information search, in short, formalizing the complexity of legal knowledge to enhance legal knowledge management are challenging tasks, for which different solutions and lines of research have been proposed. During the last decade, research and applications based on the use of legal ontologies as a technique to represent legal knowledge has raised a very interesting debate about their capacity and limitations to represent conceptual structures in the legal domain. Making conceptual legal knowledge explicit would support the development of a web of legal knowledge, improve communication, create trust and enable and support open data, e-government and e-democracy activities. Moreover, this explicit knowledge is also relevant to the formalization of software agents and the shaping of virtual institutions and multi-agent systems or environments. This book explores the use of ontologism in legal knowledge representation for semantically-enhanced legal knowledge systems or web-based applications. In it, current methodologies, tools and languages used for ontology development are revised, and the book includes an exhaustive revision of existing ontologies in the legal domain. The development of the Ontology of Professional Judicial Knowledge (OPJK) is presented as a case study.
Categories: Law

Ontology Engineering

Ontology Engineering

This book, motivated by the Ontology 101 tutorial given for many years at what was originally the Semantic Technology Conference (SemTech) and then later from a semester-long university class, is designed to provide the foundations for ...

Author: Elisa F. Kendall

Publisher: Synthesis Lectures on the Sema

ISBN: 1681733080

Category: Computers

Page: 120

View: 923

Ontologies have become increasingly important as the use of knowledge graphs, machine learning, natural language processing (NLP), and the amount of data generated on a daily basis has exploded. As of 2014, 90% of the data in the digital universe was generated in the two years prior, and the volume of data was projected to grow from 3.2 zettabytes to 40 zettabytes in the next six years. The very real issues that government, research, and commercial organizations are facing in order to sift through this amount of information to support decision-making alone mandate increasing automation. Yet, the data profiling, NLP, and learning algorithms that are ground-zero for data integration, manipulation, and search provide less than satisfactory results unless they utilize terms with unambiguous semantics, such as those found in ontologies and well-formed rule sets. Ontologies can provide a rich "schema" for the knowledge graphs underlying these technologies as well as the terminological and semantic basis for dramatic improvements in results. Many ontology projects fail, however, due at least in part to a lack of discipline in the development process. This book, motivated by the Ontology 101 tutorial given for many years at what was originally the Semantic Technology Conference (SemTech) and then later from a semester-long university class, is designed to provide the foundations for ontology engineering. The book can serve as a course textbook or a primer for all those interested in ontologies.
Categories: Computers

Ontology Engineering with Ontology Design Patterns Foundations and Applications

Ontology Engineering with Ontology Design Patterns  Foundations and Applications

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.

Author: P. Hitzler

Publisher: IOS Press

ISBN: 9781614996767

Category: Computers

Page: 388

View: 519

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.
Categories: Computers

Ontology Engineering

Ontology Engineering

This book constitutes the thoroughly refereed post-workshop proceedings of the 12th OWL: Experiences and Directions Workshop, OWLED 2015, held in Bethlehem, PA, USA, in October 2015, co-located with ISWC 2015, the International Semantic Web ...

Author: Valentina Tamma

Publisher: Springer

ISBN: 3319332449

Category: Computers

Page: 183

View: 200

This book constitutes the thoroughly refereed post-workshop proceedings of the 12th OWL: Experiences and Directions Workshop, OWLED 2015, held in Bethlehem, PA, USA, in October 2015, co-located with ISWC 2015, the International Semantic Web Conference. The 18 revised papers presented were carefully reviewed and selected from 35 initial submissions. Bridging the gap between ontology engineering practices and software engineering, the papers describe reuse methods employed throughout the ontology development cycle; modeling / terminological decisions, alignment and comparison between ontologies, how ontologies are stored, versioned, distributed, and consumed over the Web.
Categories: Computers

Applied Ontology Engineering in Cloud Services Networks and Management Systems

Applied Ontology Engineering in Cloud Services  Networks and Management Systems

This book will help them respond creatively to what is sure to be a period of rapid development.

Author: Martin Serrano

Publisher: Springer Science & Business Media

ISBN: 9781461422358

Category: Technology & Engineering

Page: 190

View: 134

Metadata standards in today’s ICT sector are proliferating at unprecedented levels, while automated information management systems collect and process exponentially increasing quantities of data. With interoperability and knowledge exchange identified as a core challenge in the sector, this book examines the role ontology engineering can play in providing solutions to the problems of information interoperability and linked data. At the same time as introducing basic concepts of ontology engineering, the book discusses methodological approaches to formal representation of data and information models, thus facilitating information interoperability between heterogeneous, complex and distributed communication systems. In doing so, the text advocates the advantages of using ontology engineering in telecommunications systems. In addition, it offers a wealth of guidance and best-practice techniques for instances in which ontology engineering is applied in cloud services, computer networks and management systems. Engineering and computer science professionals (infrastructure architects, software developers, service designers, infrastructure operators, engineers, etc.) are today confronted as never before with the challenge of convergence in software solutions and technology. This book will help them respond creatively to what is sure to be a period of rapid development.
Categories: Technology & Engineering

An Introduction to Ontology Engineering

An Introduction to Ontology Engineering

An Introduction to Ontology Engineering introduces the student to a comprehensive overview of ontology engineering, and offers hands-on experience that illustrate the theory.

Author: C. Maria Keet

Publisher:

ISBN: 1848902956

Category: Computer software

Page: 344

View: 296

An Introduction to Ontology Engineering introduces the student to a comprehensive overview of ontology engineering, and offers hands-on experience that illustrate the theory. The topics covered include: logic foundations for ontologies with languages and automated reasoning, developing good ontologies with methods and methodologies, the top-down approach with foundational ontologies, and the bottomup approach to extract content from legacy material, and a selection of advanced topics that includes Ontology-Based Data Access, the interaction between ontologies and natural languages, and advanced modelling with fuzzy and temporal ontologies. Each chapter contains review questions and exercises, and descriptions of two group assignments are provided as well. The textbook is aimed at advanced undergraduate/postgraduate level in computer science and could fi t a semester course in ontology engineering or a 2-week intensive course. Domain experts and philosophers may fi nd a subset of the chapters of interest, or work through the chapters in a different order. Maria Keet is an Associate Professor with the Department of Computer Science, University of Cape Town, South Africa. She received her PhD in Computer Science in 2008 at the KRDB Research Centre, Free University of Bozen-Bolzano, Italy. Her research focus is on knowledge engineering with ontologies and Ontology, and their interaction with natural language and conceptual data modelling, which has resulted in over 100 peer-reviewed publications. She has developed and taught multiple courses on ontology engineering and related courses at various universities since 2009.
Categories: Computer software

Semi automatic ontology engineering and ontology supported document indexing in a multilingual environment

Semi automatic ontology engineering and ontology supported document indexing in a multilingual environment

Third, document specific representations no longer affect the search. This is extremely important in the case of multilingual representations.

Author: Boris Lauser

Publisher: diplom.de

ISBN: 9783832469054

Category: Computers

Page: 130

View: 360

Inhaltsangabe:Introduction: The management of large amounts of information and knowledge is of ever increasing importance in today s large organisations. With the ongoing ease of supplying information online, especially in corporate intranets and knowledge bases, finding the right information becomes an increasingly difficult task. Today s search tools perform rather poorly in the sense that information access is mostly based on keyword searching or even mere browsing of topic areas. This unfocused approach often leads to undesired results. The following example illustrates the problem more clearly: An agriculture scientist would like to find out which organisation established the Agreement on Agriculture. A simple search for establish Agreement on Agriculture might result in a huge list of documents containing these words, but actually none of them containing the desired result: WTO or World Trade Organisation. The problem becomes even worse if the result searched for only appears in a foreign language document. Semantically annotated documents, i.e. documents that are indexed with ontological terms and concepts instead of simple keywords, provide several advantages. First, the ontological abstraction provides robustness against changes in the document. In the above example, the document representation might change using the term Agricultural Agreement instead of Agreement on Agriculture . However, since the document has been annotated with the ontological semantics, this will not affect the search results. Second, since the ontology used for annotating the document in this example is domain-specific, the semantic meanings and interpretations of keywords are bound to that domain and therefore the retrieval is likely to be more efficient. A term can have several meanings in different domains. By first mapping the keyword to its semantic representation in a specific ontology and using the ontology s linked knowledge structure, a much more focused search approach can be taken. Third, document specific representations no longer affect the search. This is extremely important in the case of multilingual representations. Keywords of several languages are mapped to the same concept in an ontology and are therefore given the same meaning. Multilingual search portals can be established to produce the same results, no matter which language is used for retrieval. An important task in knowledge management facilitating above described search scenario id [...]
Categories: Computers

Advances in Engineering Design and Optimization

Advances in Engineering Design and Optimization

Ontology-based approaches were successfully applied to establish a common
understanding, thereby enhancing communication ... Ontology engineering
comprises all activities for systematic development of such a representation,
including a ...

Author: Yi Min Deng

Publisher: Trans Tech Publications Ltd

ISBN: 9783038133841

Category: Technology & Engineering

Page: 1716

View: 518

Engineering design and optimization are important tasks, and activities which are essential for the success of product development and application. Volume is indexed by Thomson Reuters CPCI-S (WoS). This two-volume book is a collection of 349 peer-reviewed papers that present state-of-the-art research results in the broad areas of engineering design and optimization; including those that are directly related to the design and optimization of engineered products, and those that are related to the design and optimization of engineering processes where the latter are essential to the manufacturing process.
Categories: Technology & Engineering

Ontology Engineering for Imprecise Knowledge Management

Ontology Engineering for Imprecise Knowledge Management

This book also accommodates the needs of graduate-level students in knowledge engineering and management course.

Author: Muhammad Abulaish

Publisher: LAP Lambert Academic Publishing

ISBN: 3838306120

Category:

Page: 224

View: 479

Currently, knowledge engineering is strongly related to the construction of shared knowledge bases or conceptual frameworks, often designated as ontologies. Ontologies play an active role in the realization of Semantic Web by providing the basis for inter-operability of heterogeneous systems. However, use of ontology in processing information embedded in text documents is still restricted as it is very difficult to predefine an unambiguous and exhaustive ontology for any domain. The context- dependent nature of natural language makes reasoning with text information even more complicated. This book, therefore, provides the theoretical foundations of ontological engineering and covers the practical aspects of ontology learning and enhancement into a fuzzy ontology structure to accommodate uncertainties of natural language. This book can serves as a valuable resource for practicing professionals and applied researchers who are working on building search engines, ontology engineering, text mining, and knowledge-based applications. This book also accommodates the needs of graduate-level students in knowledge engineering and management course.
Categories:

Ontology Modeling in Physical Asset Integrity Management

Ontology Modeling in Physical Asset Integrity Management

This book presents cutting-edge applications of, and up-to-date research on, ontology engineering techniques in the physical asset integrity domain.

Author: Vahid Ebrahimipour

Publisher: Springer

ISBN: 9783319153261

Category: Technology & Engineering

Page: 264

View: 238

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.
Categories: Technology & Engineering

Sentiment Analysis and Ontology Engineering

Sentiment Analysis and Ontology Engineering

The volume involves studies devoted to key issues of sentiment analysis, sentiment models, and ontology engineering. The book is structured into three main parts.

Author: Witold Pedrycz

Publisher: Springer

ISBN: 9783319303192

Category: Computers

Page: 456

View: 558

This edited volume provides the reader with a fully updated, in-depth treatise on the emerging principles, conceptual underpinnings, algorithms and practice of Computational Intelligence in the realization of concepts and implementation of models of sentiment analysis and ontology –oriented engineering. The volume involves studies devoted to key issues of sentiment analysis, sentiment models, and ontology engineering. The book is structured into three main parts. The first part offers a comprehensive and prudently structured exposure to the fundamentals of sentiment analysis and natural language processing. The second part consists of studies devoted to the concepts, methodologies, and algorithmic developments elaborating on fuzzy linguistic aggregation to emotion analysis, carrying out interpretability of computational sentiment models, emotion classification, sentiment-oriented information retrieval, a methodology of adaptive dynamics in knowledge acquisition. The third part includes a plethora of applications showing how sentiment analysis and ontologies becomes successfully applied to investment strategies, customer experience management, disaster relief, monitoring in social media, customer review rating prediction, and ontology learning. This book is aimed at a broad audience of researchers and practitioners. Readers involved in intelligent systems, data analysis, Internet engineering, Computational Intelligence, and knowledge-based systems will benefit from the exposure to the subject matter. The book may also serve as a highly useful reference material for graduate students and senior undergraduate students.
Categories: Computers

Proceedings of the International Conference on Knowledge Capture

Proceedings of the     International Conference on Knowledge Capture

Combining Ontology Engineering Subprocesses to Build a Time Ontology
Evaluating Expert - Authored Rules for Military Reasoning Mike Pool. H . Sofia
Pinto Dep . Eng . Informática , Instituto Superior Técnico , Lisboa , Portugal sofia .
pinto ...

Author:

Publisher:

ISBN: UOM:39015058886220

Category: Artificial intelligence

Page:

View: 326

Categories: Artificial intelligence

Ontological Engineering approach of developing Ontology of Information Science

Ontological Engineering approach of developing Ontology of Information Science

Ontology has been a subject of many studies carried out in artificial intelligence (AI) and information system communities.

Author: Ahlam F. Sawsaa

Publisher: Anchor Academic Publishing

ISBN: 9783954899487

Category: Computers

Page: 297

View: 236

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.
Categories: Computers

Memoirs of the Institute of Scientific and Industrial Research Osaka University

Memoirs of the Institute of Scientific and Industrial Research  Osaka University

The major topic includes an investigation of Ontological Engineering to establish
basic theories and technologies for the next - generation knowledge science .
The current research projects include : methodology for ontology development
and ...

Author: Ōsaka Daigaku. Sangyō Kagaku Kenkyūjo

Publisher:

ISBN: UCBK:C105013399

Category: Research

Page:

View: 228

Categories: Research

Ontology Engineering Applications in Healthcare and Workforce Management Systems

Ontology Engineering Applications in Healthcare and Workforce Management Systems

Looking beyond the communications technology horizon and projecting future competency-specific employment demand, this book presents an evaluation of desirable information systems enhancements by integrating two disparate-domain computer ...

Author: David E Forbes

Publisher: Springer

ISBN: 9783319650128

Category: Technology & Engineering

Page: 103

View: 176

Looking beyond the communications technology horizon and projecting future competency-specific employment demand, this book presents an evaluation of desirable information systems enhancements by integrating two disparate-domain computer ontologies. It provides readers a fresh solutions approach based on dynamic modeling and methodological contributions to philosophical and assistive communications system development in healthcare, addressing the need for both demand intelligence and practical work environment support. The pace of change in redefining occupation-specific employee resourcing needs is unrelenting and continues to accelerate. And the exponential growth in the demand for healthcare service delivery is correspondingly daunting. As such, the public and private sectors are faced with the challenge of sustaining credible relevant demand intelligence and recruitment practices, while integration, expansion and enrichment of ostensibly unconnected ontologies represent key R&D issues.
Categories: Technology & Engineering

On Using Graphical Notation In Ontology Engineering

On Using Graphical Notation In Ontology Engineering

This creates a framework that allows one to engineer OWL ontologies graphically using ORM. This book will provide the needed knowledge for interested field persons of ontology engineering.

Author: Rami Hodrob

Publisher: LAP Lambert Academic Publishing

ISBN: 3659305650

Category:

Page: 136

View: 939

The enormous need for well engineered ontologies is growing rapidly, as the need for ontologies is increasing in many application areas. Due to the central role ontologies are playing, the World Wide Web Consortium (W3C) developed the Web Ontology Language (OWL) as a language to author ontologies. For an ontology language to be easily understood by domain experts it must be close to the natural language they speak and the 'logic' they use. Also, it should have a graphical notation to enable simple and conceptual modeling. The expressive, methodological, and graphical capabilities of Object-Role Modeling (ORM) make it a good candidate for use in ontology engineering. In this book, we (i) map the ORM constructs to OWL 2 using SROIQ Description Logic and, on the other hand, we (ii) extend the ORM notation to cover all OWL 2 constructs not currently covered by ORM. By doing so, we combine the strengths of both ORM and the W3C-recommended Web Ontology Language (OWL). This creates a framework that allows one to engineer OWL ontologies graphically using ORM. This book will provide the needed knowledge for interested field persons of ontology engineering.
Categories: