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Author: C. Maria Keet
Publisher: Springer Nature
ISBN: 3031396952
Category : Business & Economics
Languages : en
Pages : 184
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Book Description
The main aim of this book is to introduce a group of models and modelling of information and knowledge comprehensibly. Such models and the processes for how to create them help to improve the skills to analyse and structure thoughts and ideas, to become more precise, to gain a deeper understanding of the matter being modelled, and to assist with specific tasks where modelling helps, such as reading comprehension and summarisation of text. The book draws ideas and transferrable approaches from the plethora of types of models and the methods, techniques, tools, procedures, and methodologies to create them in computer science. This book covers five principal declarative modelling approaches to model information and knowledge for different, yet related, purposes. It starts with entry-level mind mapping, to proceed to biological models and diagrams, onward to conceptual data models in software development, and from there to ontologies in artificial intelligence and all the way to ontology in philosophy. Each successive chapter about a type of model solves limitations of the preceding one and turns up the analytical skills a notch. These what-and-how for each type of model is followed by an integrative chapter that ties them together, comparing their strengths and key characteristics, ethics in modelling, and how to design a modelling language. In so doing, we’ll address key questions such as: what type of models are there? How do you build one? What can you do with a model? Which type of model is best for what purpose? Why do all that modelling? The intended audience for this book is professionals, students, and academics in disciplines where systematic information modelling and knowledge representation is much less common than in computing, such as in commerce, biology, law, and humanities. And if a computer science student or a software developer needs a quick refresher on conceptual data models or a short solid overview of ontologies, then this book will serve them well.
Author: C. Maria Keet
Publisher: Springer Nature
ISBN: 3031396952
Category : Business & Economics
Languages : en
Pages : 184
Get Book Here
Book Description
The main aim of this book is to introduce a group of models and modelling of information and knowledge comprehensibly. Such models and the processes for how to create them help to improve the skills to analyse and structure thoughts and ideas, to become more precise, to gain a deeper understanding of the matter being modelled, and to assist with specific tasks where modelling helps, such as reading comprehension and summarisation of text. The book draws ideas and transferrable approaches from the plethora of types of models and the methods, techniques, tools, procedures, and methodologies to create them in computer science. This book covers five principal declarative modelling approaches to model information and knowledge for different, yet related, purposes. It starts with entry-level mind mapping, to proceed to biological models and diagrams, onward to conceptual data models in software development, and from there to ontologies in artificial intelligence and all the way to ontology in philosophy. Each successive chapter about a type of model solves limitations of the preceding one and turns up the analytical skills a notch. These what-and-how for each type of model is followed by an integrative chapter that ties them together, comparing their strengths and key characteristics, ethics in modelling, and how to design a modelling language. In so doing, we’ll address key questions such as: what type of models are there? How do you build one? What can you do with a model? Which type of model is best for what purpose? Why do all that modelling? The intended audience for this book is professionals, students, and academics in disciplines where systematic information modelling and knowledge representation is much less common than in computing, such as in commerce, biology, law, and humanities. And if a computer science student or a software developer needs a quick refresher on conceptual data models or a short solid overview of ontologies, then this book will serve them well.
Author: Setsuo Ohsuga
Publisher: IOS Press
ISBN: 9789051990737
Category : Artificial intelligence
Languages : en
Pages : 726
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Book Description
Papers direct the focus of interest to the development and use of conceptual models in information systems of various kinds and aim at improving awareness about general or specific problems and solutions in conceptual modelling.
Author: A. Dahanayake
Publisher: IOS Press
ISBN: 1643680455
Category : Computers
Languages : en
Pages : 562
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Book Description
Information modeling and knowledge bases have become an important area of academic and industry research in the 21st century, addressing complexities of modeling that reach beyond the traditional borders of information systems and academic computer science research. This book presents 32 reviewed, selected and updated papers delivered at the 29th International Conference on Information Modeling and Knowledge Bases (EJC2019), held in Lappeenranta, Finland, from 3 to 7 June 2019. In addition, two papers based on the keynote presentations and one paper edited from the discussion of the panel session are included in the book. The conference provided a forum to exchange scientific results and experience, and attracted academics and practitioners working with information and knowledge. The papers cover a wide range of topics, ranging from knowledge discovery through conceptual and linguistic modeling, knowledge and information modeling and discovery, cross-cultural communication and social computing, environmental modeling and engineering, and multimedia data modeling and systems to complex scientific problem-solving. The conference presentation sessions: Learning and Linguistics; Systems and Processes; Data and Knowledge Representation; Models and Interface; Formalizations and Reasoning; Models and Modeling; Machine Learning; Models and Programming; Environment and Predictions; and Emotion Modeling and Social Networks reflect the main themes of the conference. The book also includes 2 extended publications of keynote addresses: ‘Philosophical Foundations of Conceptual Modeling’ and ́Sustainable Solid Waste Management using Life Cycle Modeling for Environmental Impact Assessment’, as well as additional material covering the discussion and findings of the panel session. Providing an overview of current research in the field, the book will be of interest to all those working with information systems, information modeling and knowledge bases.
Author: V. Sornlertlamvanich
Publisher: IOS Press
ISBN: 1614998345
Category : Computers
Languages : en
Pages : 456
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Book Description
Information modelling and knowledge bases have become ever more essential in recent years because of the need to handle and process the vast amounts of data which now form part of everyday life. The machine to machine communication of the Internet of Things (IoT), in particular, can generate unexpectedly large amounts of raw data. This book presents the proceedings of the 27th International Conference on Information Modelling and Knowledge Bases (EJC2017), held in Krabi, Thailand, in June 2017. The EJC conferences originally began in 1982 as a co-operative initiative between Japan and Finland, but have since become a world-wide research forum bringing together researchers and practitioners in information modelling and knowledge bases for the exchange of scientific results and achievements. Of the 42 papers submitted, 29 were selected for publication here, and these cover a wide range of information-modelling topics, including the theory of concepts, semantic computing, data mining, context-based information retrieval, ontological technology, image databases, temporal and spatial databases, document data management, software engineering, cross-cultural computing, environmental analysis, social networks, and WWW information. The book will be of interest to all those whose work involves dealing with large amounts of data.
Author: Georgios Miaoulis
Publisher: Springer
ISBN: 3540929029
Category : Technology & Engineering
Languages : en
Pages : 221
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Book Description
Scene modeling is a very important part in Computer Graphics because it allows c- ating more or less complex models to be rendered, coming from the real world or from the designer’s imagination. However, scene modeling is a very difficult task, as there is a need of more and more complex scenes and traditional geometric modelers are not well adapted to computer aided design. Even if traditional scene modelers offer very interesting tools to facilitate the designer’s work, they suffer from a very important drawback, the lack of flexibility, which does not authorize the designer to use incomplete or imprecise descriptions, in order to express his (her) mental image of the scene to be designed. Thus, with most of the current geometric modelers the user must have a quite precise idea of the scene to design before using the modeler to achieve the modeling task. This kind of design is not really a computer aided one, because the main creative ideas have been elaborated without any help of the modeler. Declarative scene modeling could be an interesting alternative to traditional g- metric modeling. Indeed, declarative scene modeling tries to give intuitive solutions to the scene modeling problem by using Artificial Intelligence techniques which allow the user to describe high level properties of a scene and the modeler to give all the solutions corresponding to imprecise properties.
Author: T. Endrjukaite
Publisher: IOS Press
ISBN: 1614999333
Category : Computers
Languages : en
Pages : 570
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Book Description
Information modeling and knowledge bases have become essential subjects in the last three decades, not only in academic communities related to information systems and computer science, but also in the areas of business where information technology is applied. This book presents the proceedings of the 28th International Conference on Information Modelling and Knowledge Bases (EJC2018), held in Riga, Latvia from 4–8 June 2018. The aim of the conference was to bring together experts with a common interest in the understanding and solving of problems on information modelling and knowledge bases, as well as those from different areas of computer science and other disciplines who apply the results of research to practice. The 39 accepted papers collected here cover a variety of topics, including: conceptual modeling; knowledge and information modeling and discovery; linguistic modeling; cross-cultural communication and social computing; multimedia data modeling and systems; and environmental modeling and engineering. The book will be of interest to researchers and practitioners alike, and to anyone wanting a better understanding of current advances in information technology.
Author: Edward H. Y. Lim
Publisher: Springer Science & Business Media
ISBN: 3642179169
Category : Technology & Engineering
Languages : en
Pages : 252
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Book Description
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.
Author: Hannu Jaakkola
Publisher: IOS Press
ISBN: 9789051994537
Category : Computers
Languages : en
Pages : 366
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Book Description
LISTENING TO MUSIC is designed to help develop and refine the listening skills of your students and inspire a lifelong appreciation of music. Author and award-winning scholar-teacher Craig Wright, who has taught Music Appreciation courses for more than 35 years, is consistently praised by reviewers and other professors for his unparalleled accuracy and his clear, direct, conversational style. Throughout the book, Wright connects with today's students by incorporating comparisons between pop and classical music and by using examples from popular artists to illustrate core concepts. This chronological text succinctly covers traditional Western music from medieval to modern, discussing examples from each historical period within their social contexts and the construction of each piece. Later chapters cover popular music, its impact on musical globalization, and comparisons between Western and non-Western music. LISTENING TO MUSIC is the only text that provides Craig Wright's own Listening Exercises, in the book and online, which help students focus on important musical elements and episodes. A free CD, packaged with each printed copy of the text, includes all of the musical examples for the Part 1 listening exercises. A full set of optional online student resources includes Active Listening Guides, streaming music, an interactive eBook, quizzing, and more--all to challenge your students. All of the music discussed in the text is also available on CD and on Sony Music download cards. Available with InfoTrac Student Collections http://gocengage.com/infotrac.
Author: M. Tropmann-Frick
Publisher: IOS Press
ISBN: 1643681419
Category : Computers
Languages : en
Pages : 370
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Book Description
Information modeling and knowledge bases are important technologies for academic and industrial research that goes beyond the traditional borders of information systems and computer science. The amount and complexity of information to be dealt with grows continually, as do the levels of abstraction and the size of databases. This book presents the proceedings of the 30th International Conference on Information Modelling and Knowledge Bases (EJC2020), due to be held in Hamburg, Germany on 8 and 9 June 2020, but instead held as a virtual conference on the same dates due to the Corona-virus pandemic restrictions. The conference provides a research forum for the exchange of scientific results and experiences, and brings together experts from different areas of computer science and other disciplines with a common interest in information modeling and knowledge bases. The subject touches on many disciplines, with philosophy and logic, cognitive science, knowledge management, linguistics and management science, as well as the emerging fields of data science and machine learning, all being relevant areas. The 23 reviewed, selected, and upgraded contributions included here are the result of presentations, comments, and discussions from the conference, and reflect the themes of the conference sessions: learning and linguistics; systems and processes; data and knowledge representation; models and interfaces; formalizations and reasoning; models and modeling; machine learning; models and programming; environment and predictions; modeling emotion; and social networks. The book provides an overview of current research and applications, and will be of interest to all those working in the field.
Author: John Krogstie
Publisher: Springer Science & Business Media
ISBN: 3540726772
Category : Computers
Languages : en
Pages : 356
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Book Description
This book compiles contributions from renowned researchers covering all aspects of conceptual modeling, on the occasion of Arne Sølvberg’s 67th birthday. Friends of this pioneer in information systems modeling contribute their latest research results from such fields as data modeling, goal-oriented modeling, agent-oriented modeling, and process-oriented modeling. The book reflects the most important recent developments and application areas of conceptual modeling, and highlights trends in conceptual modeling for the next decade.
