Rule Technologies Foundations Tools And Applications PDF Download
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| Author | : Nick Bassiliades |
| Publisher | : |
| Total Pages | : |
| Release | : 2015 |
| Genre | : |
| ISBN | : 9783319215433 |
Download Rule Technologies: Foundations, Tools, and Applications Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 9th International RuleML Symposium, RuleML 2015, held in Berlin, Germany, in August 2015. The 25 full papers, 4 short papers, 2 full keynote papers, 2 invited research track overview papers, 1 invited paper, 1 invited abstracts presented were carefully reviewed and selected from 63 submissions. The papers cover the following topics: general RuleML track; complex event processing track, existential rules and datalog+/- track; legal rules and reasoning track; rule learning track; industry track.
| Author | : Nick Bassiliades |
| Publisher | : Springer |
| Total Pages | : 482 |
| Release | : 2015-07-11 |
| Genre | : Computers |
| ISBN | : 3319215426 |
Download Rule Technologies: Foundations, Tools, and Applications Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 9th International RuleML Symposium, RuleML 2015, held in Berlin, Germany, in August 2015. The 25 full papers, 4 short papers, 2 full keynote papers, 2 invited research track overview papers, 1 invited paper, 1 invited abstracts presented were carefully reviewed and selected from 63 submissions. The papers cover the following topics: general RuleML track; complex event processing track, existential rules and datalog+/- track; legal rules and reasoning track; rule learning track; industry track.
| Author | : Archana Patel |
| Publisher | : CRC Press |
| Total Pages | : 395 |
| Release | : 2023-10-06 |
| Genre | : Computers |
| ISBN | : 1000964108 |
Download Semantic Technologies for Intelligent Industry 4.0 Applications Book in PDF, ePub and Kindle
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.
| Author | : Mohamed Ridda Laouar |
| Publisher | : Springer Nature |
| Total Pages | : 252 |
| Release | : |
| Genre | : |
| ISBN | : 3031605918 |
Download 13th International Conference on Information Systems and Advanced Technologies “ICISAT 2023” Book in PDF, ePub and Kindle
| Author | : Wolfgang Faber |
| Publisher | : Springer |
| Total Pages | : 342 |
| Release | : 2015-07-17 |
| Genre | : Computers |
| ISBN | : 3319217682 |
Download Reasoning Web. Web Logic Rules Book in PDF, ePub and Kindle
This volume contains the lecture notes of the 11th Reasoning Web Summer School 2015, held in Berlin, Germany, in July/August 2015. In 2015, the theme of the school was Web Logic Rules. This Summer School is devoted to this perspective, and provides insight into the semantic Web, linked data, ontologies, rules, and logic.
| Author | : Daniel Gall |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 272 |
| Release | : 2021-10-11 |
| Genre | : Computers |
| ISBN | : 3754396781 |
Download Analysis of Cognitive Models in Constraint Handling Rules Book in PDF, ePub and Kindle
Computational cognitive modeling explores cognition by building computational models for cognitive processes, mechanisms and representations. Currently, implementations of cognitive models lack a formal foundation. This inhibits analysis. In this thesis, the cognitive architecture Adaptive Control of Thought - Rational (ACT-R) is formalized and embedded into the rule-based programming language Constraint Handling Rules (CHR). The powerful analytical methods of CHR, particularly confluence analysis, are extended by reasoning modulo equivalence relations. The results are applied to the domain of cognitive modeling.
| Author | : Diego Miranda-Saavedra |
| Publisher | : CRC Press |
| Total Pages | : 300 |
| Release | : 2022-12-23 |
| Genre | : Computers |
| ISBN | : 1000885674 |
Download How to Think about Data Science Book in PDF, ePub and Kindle
This book is a timely and critical introduction for those interested in what data science is (and isn’t), and how it should be applied. The language is conversational and the content is accessible for readers without a quantitative or computational background; but, at the same time, it is also a practical overview of the field for the more technical readers. The overarching goal is to demystify the field and teach the reader how to develop an analytical mindset instead of following recipes. The book takes the scientist’s approach of focusing on asking the right question at every step as this is the single most important factor contributing to the success of a data science project. Upon finishing this book, the reader should be asking more questions than I have answered. This book is, therefore, a practising scientist’s approach to explaining data science through questions and examples.
| Author | : A. Ławrynowicz |
| Publisher | : IOS Press |
| Total Pages | : 210 |
| Release | : 2017-04-18 |
| Genre | : Computers |
| ISBN | : 1614997462 |
Download Semantic Data Mining Book in PDF, ePub and Kindle
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.
| Author | : Thomas Barton |
| Publisher | : Springer Nature |
| Total Pages | : 234 |
| Release | : 2023-01-01 |
| Genre | : Computers |
| ISBN | : 365838798X |
Download Apply Data Science Book in PDF, ePub and Kindle
This book offers an introduction to the topic of data science based on the visual processing of data. It deals with ethical considerations in the digital transformation and presents a process framework for the evaluation of technologies. It also explains special features and findings on the failure of data science projects and presents recommendation systems in consideration of current developments. Machine learning functionality in business analytics tools is compared and the use of a process model for data science is shown.The integration of renewable energies using the example of photovoltaic systems, more efficient use of thermal energy, scientific literature evaluation, customer satisfaction in the automotive industry and a framework for the analysis of vehicle data serve as application examples for the concrete use of data science. The book offers important information that is just as relevant for practitioners as for students and teachers.
| Author | : Jan Rauch |
| Publisher | : CRC Press |
| Total Pages | : 362 |
| Release | : 2022-10-20 |
| Genre | : Business & Economics |
| ISBN | : 100077774X |
Download Mechanizing Hypothesis Formation Book in PDF, ePub and Kindle
Mechanizing hypothesis formation is an approach to exploratory data analysis. Its development started in the 1960s inspired by the question “can computers formulate and verify scientific hypotheses?”. The development resulted in a general theory of logic of discovery. It comprises theoretical calculi dealing with theoretical statements as well as observational calculi dealing with observational statements concerning finite results of observation. Both calculi are related through statistical hypotheses tests. A GUHA method is a tool of the logic of discovery. It uses a one-to-one relation between theoretical and observational statements to get all interesting theoretical statements. A GUHA procedure generates all interesting observational statements and verifies them in a given observational data. Output of the procedure consists of all observational statements true in the given data. Several GUHA procedures dealing with association rules, couples of association rules, action rules, histograms, couples of histograms, and patterns based on general contingency tables are involved in the LISp-Miner system developed at the Prague University of Economics and Business. Various results about observational calculi were achieved and applied together with the LISp-Miner system. The book covers a brief overview of logic of discovery. Many examples of applications of the GUHA procedures to solve real problems relevant to data mining and business intelligence are presented. An overview of recent research results relevant to dealing with domain knowledge in data mining and its automation is provided. Firsthand experiences with implementation of the GUHA method in the Python language are presented.
