Download or read book A Semantic Data Model for Methodology Engineering written by Michael Heym and published by . This book was released on 1992 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Semantic Data Model for Methodology Engineering written by M. Heym and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book How to Engineer Software written by Steve Tockey and published by John Wiley & Sons. This book was released on 2019-09-10 with total page 1147 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to the application of the theory and practice of computing to develop and maintain software that economically solves real-world problem How to Engineer Software is a practical, how-to guide that explores the concepts and techniques of model-based software engineering using the Unified Modeling Language. The author—a noted expert on the topic—demonstrates how software can be developed and maintained under a true engineering discipline. He describes the relevant software engineering practices that are grounded in Computer Science and Discrete Mathematics. Model-based software engineering uses semantic modeling to reveal as many precise requirements as possible. This approach separates business complexities from technology complexities, and gives developers the most freedom in finding optimal designs and code. The book promotes development scalability through domain partitioning and subdomain partitioning. It also explores software documentation that specifically and intentionally adds value for development and maintenance. This important book: Contains many illustrative examples of model-based software engineering, from semantic model all the way to executable code Explains how to derive verification (acceptance) test cases from a semantic model Describes project estimation, along with alternative software development and maintenance processes Shows how to develop and maintain cost-effective software that solves real-world problems Written for graduate and undergraduate students in software engineering and professionals in the field, How to Engineer Software offers an introduction to applying the theory of computing with practice and judgment in order to economically develop and maintain software.
Download or read book Semantic Modeling for Data written by Panos Alexopoulos and published by "O'Reilly Media, Inc.". This book was released on 2020-08-19 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: What value does semantic data modeling offer? As an information architect or data science professional, let’s say you have an abundance of the right data and the technology to extract business gold—but you still fail. The reason? Bad data semantics. In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. You’ll learn how to master this craft to increase the usability and value of your data and applications. You’ll also explore the pitfalls to avoid and dilemmas to overcome for building high-quality and valuable semantic representations of data. Understand the fundamental concepts, phenomena, and processes related to semantic data modeling Examine the quirks and challenges of semantic data modeling and learn how to effectively leverage the available frameworks and tools Avoid mistakes and bad practices that can undermine your efforts to create good data models Learn about model development dilemmas, including representation, expressiveness and content, development, and governance Organize and execute semantic data initiatives in your organization, tackling technical, strategic, and organizational challenges
Download or read book Semantic Modeling and Interoperability in Product and Process Engineering written by Yongsheng Ma and published by Springer Science & Business Media. This book was released on 2013-06-06 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past decade, feature-based design and manufacturing has gained some momentum in various engineering domains to represent and reuse semantic patterns with effective applicability. However, the actual scope of feature application is still very limited. Semantic Modeling and Interoperability in Product and Process Engineering provides a systematic solution for the challenging engineering informatics field aiming at the enhancement of sustainable knowledge representation, implementation and reuse in an open and yet practically manageable scale. This semantic modeling technology supports uniform, multi-facet and multi-level collaborative system engineering with heterogeneous computer-aided tools, such as CADCAM, CAE, and ERP. This presented unified feature model can be applied to product and process representation, development, implementation and management. Practical case studies and test samples are provided to illustrate applications which can be implemented by the readers in real-world scenarios. By expanding on well-known feature-based design and manufacturing approach, Semantic Modeling and Interoperability in Product and Process Engineering provides a valuable reference for researchers, practitioners and students from both academia and engineering field.
Download or read book Data Modeling 152 Success Secrets 152 Most Asked Questions on Data Modeling What You Need to Know written by Charles Golden and published by Emereo Publishing. This book was released on 2014-10-15 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Definitive Book On Data Modeling. Data depicting in code designing and building is the procedure of generating a information type for an data configuration by submitting official information depicting methods. There has never been a Data Modeling Guide like this. It contains 152 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Data Modeling. A quick look inside of some of the subjects covered: Query language, System Architect (software) - Overview, SEMMA - Phases of SEMMA, CIDOC Conceptual Reference Model - Aims, Software development methodology - Computer-aided software engineering, Data model Semantic data model, Data analysis, Metamodeling - Types of metamodels, View model - Three schema approach, Unified Modeling Language - Overview, NASA X-43 - Testing, Database Late-1970s SQL DBMS, Information design - Etymology, Structured data, Metamodeling - Types of metamodels, Data structure diagram - Overview, Zachman Framework - Extended and modified frameworks, Entity relationship model, Business analytics - Basic domains within analytics, Structured data - Data Structure Diagram, Metadata registry - Metadata registry roles, Entity-relationship model, Kalido - History, MySQL Workbench - Features, Outline of information science - General information science concepts, Relational Model/Tasmania - RM/T Today, Data modeling Further reading, Semantic data model - History, Data modeling Overview, Structured data - Data modeling, Total least squares, Data modeling Semantic data modeling, e-Science, Database - Late 1970s, SQL DBMS, Borland Together, Cognos Reportnet - Components, Structured data - History, Metadata modeling, Ecole centrale de Lyon - LIRIS, and much more...
Download or read book Semantic Web Information Management written by Roberto de Virgilio and published by Springer Science & Business Media. This book was released on 2010-01-08 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: Databases have been designed to store large volumes of data and to provide efficient query interfaces. Semantic Web formats are geared towards capturing domain knowledge, interlinking annotations, and offering a high-level, machine-processable view of information. However, the gigantic amount of such useful information makes efficient management of it increasingly difficult, undermining the possibility of transforming it into useful knowledge. The research presented by De Virgilio, Giunchiglia and Tanca tries to bridge the two worlds in order to leverage the efficiency and scalability of database-oriented technologies to support an ontological high-level view of data and metadata. The contributions present and analyze techniques for semantic information management, by taking advantage of the synergies between the logical basis of the Semantic Web and the logical foundations of data management. The book’s leitmotif is to propose models and methods especially tailored to represent and manage data that is appropriately structured for easier machine processing on the Web. After two introductory chapters on data management and the Semantic Web in general, the remaining contributions are grouped into five parts on Semantic Web Data Storage, Reasoning in the Semantic Web, Semantic Web Data Querying, Semantic Web Applications, and Engineering Semantic Web Systems. The handbook-like presentation makes this volume an important reference on current work and a source of inspiration for future development, targeting academic and industrial researchers as well as graduate students in Semantic Web technologies or database design.
Download or read book Applying a Semantic Structural Model for Engineering Design written by Kincho H. Law and published by . This book was released on 1989 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Journal on Data Semantics XI written by Jeff Z. Pan and published by Springer. This book was released on 2008-12-05 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers were invited based on their quality, relevance and significance, and the - ability of extending their results. Extended versions prepared by authors were subject to the traditional two-round scholarly review process, and the authors were required to respond to all concerns expressed by the reviewers before papers were accepted. Eight papers were eventually accepted for publication in this issue. The selection of SWESE best papers eventually resulted in the acceptance of two papers. The first paper “Experiences in the Design of Semantic Services Using Web En- neering Methods and Tools,” by Brambilla, Ceri, Celino, Cerizza, Della Valle, Facca, Turati, and Tzviskou, shows how classical software engineering methods (such as formal business process development and automatic code generation) combine with semantic methods and tools (i.e., ontology engineering, semantic service annotation and discovery) to forge a new approach to software development for the Semantic Web. In the paper, the authors present their experience in the participation to the - mantic Web Service Challenge 2006, where the proposed approach achieved very good results in solving the proposed problems. The second paper “Automatically Generated Model Transformations Using Ont- ogy Engineering Space,” by Roser and Bauer, presents an approach to using the - mantic technologies to improve cross-organizational modeling by automated gene- tion of model transformations. By automated generation of mappings it offers new possibilities for the integration of domain specific languages and ‘legacy’ models in a plug&play manner, making it easier for new organizations to join collaborations.
Download or read book Semantic Modeling for Data written by Panos Alexopoulos and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perhaps you're an information architect on a mission to make your organization's data more understandable and usable across applications. Or a knowledge engineer working to infuse domain knowledge into the next Alexa or Siri. Or a machine learning expert having difficulty obtaining the right data for your models. If you pursue these or similar tasks, this is your book. Author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. You'll learn how to master this craft and increase the usability and value of your data and applications. With this practical and comprehensive field guide, you'll understand the pitfalls to avoid and dilemmas to overcome to build high-quality and valuable semantic representations of data. Examine the quirks and challenges of semantic data modeling and learn how to effectively leverage available frameworks and tools Avoid mistakes and bad practices that can undermine your efforts to create good data models Learn about model development dilemmas, including representation, expressiveness and content, development, and governance Organize and execute semantic data initiatives in your organization, tackling technical, strategic, and organizational challenges.
Download or read book Semantic Web Engineering in the Knowledge Society written by Cardoso, Jorge and published by IGI Global. This book was released on 2008-10-31 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book lays the foundations for understanding the concepts and technologies behind the Semantic Web"--Provided by publisher.
Download or read book Applications and Developments in Semantic Process Mining written by Okoye, Kingsley and published by IGI Global. This book was released on 2020-04-10 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology becomes increasingly intelligent, various factors within the field of data science are seeing significant transformation. Process analysis is one area that is undergoing substantial development due to the implementation of semantic reasoning and web technologies. The congruence of these two systems has created various applications and developments in data processing and analysis across several professional fields. Applications and Developments in Semantic Process Mining is an essential reference source that discusses the improvement of process mining algorithms through the implementation of semantic modeling and representation. Featuring research on topics such as domain ontologies, fuzzy modeling, and information extraction, the book takes into account the different stages of process mining and its application in real time and then expounds the classical process mining techniques to semantical preparation of the extracted models for further analysis and querying at a more abstract level. The book provides a wide-ranging idea of the application and development of semantic process mining that is expected to be beneficial and used by professionals, software and data engineers, software developers, IT experts, business owners and entrepreneurs, and process analysts.
Download or read book Intelligent Systems Concepts Methodologies Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2018-06-04 with total page 2390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ongoing advancements in modern technology have led to significant developments in intelligent systems. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Intelligent Systems: Concepts, Methodologies, Tools, and Applications contains a compendium of the latest academic material on the latest breakthroughs and recent progress in intelligent systems. Including innovative studies on information retrieval, artificial intelligence, and software engineering, this multi-volume book is an ideal source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of intelligent systems.
Download or read book Conceptual Modeling Foundations and Applications written by Alex T. Borgida and published by Springer Science & Business Media. This book was released on 2009-07-06 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Festschrift volume, published in honor of John Mylopoulos on the occasion of his retirement from the University of Toronto, contains 25 high-quality papers, written by leading scientists in the field of conceptual modeling. The volume has been divided into six sections. The first section focuses on the foundations of conceptual modeling and contains material on ontologies and knowledge representation. The four sections on software and requirements engineering, information systems, information integration, and web and services, represent the chief current application domains of conceptual modeling. Finally, the section on implementations concentrates on projects that build tools to support conceptual modeling. With its in-depth coverage of diverse topics, this book could be a useful companion to a course on conceptual modeling.
Download or read book Data Mining and Reverse Engineering written by Stefano Spaccapietra and published by Springer. This book was released on 2013-03-14 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database semantics research has turned sharply from a highly theoretical domain to one with more focus on practical aspects. The DS- 7 Working Conference held in October 1997 in Leysin, Switzerland, demon strated the more pragmatic orientation of the current generation of leading researchers. The papers presented at the meeting emphasized the two major areas: the discovery of semantics and semantic data modeling. The work in the latter category indicates that although object-oriented database management systems have emerged as commercially viable prod ucts, many fundamental modeling issues require further investigation. Today's object-oriented systems provide the capability to describe complex objects and include techniques for mapping from a relational database to objects. However, we must further explore the expression of information regarding the dimensions of time and space. Semantic models possess the richness to describe systems containing spatial and temporal data. The challenge of in corporating these features in a manner that promotes efficient manipulation by the subject specialist still requires extensive development.
Download or read book Semantic Data Model A Complete Guide 2020 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2020-02-07 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Among the Semantic data model product and service cost to be estimated, which is considered hardest to estimate? What are the revised rough estimates of the financial savings/opportunity for Semantic data model improvements? How do you assess your Semantic data model workforce capability and capacity needs, including skills, competencies, and staffing levels? Risk factors: what are the characteristics of Semantic data model that make it risky? How do you recognize an Semantic data model objection? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Semantic Data Model investments work better. This Semantic Data Model All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Semantic Data Model Self-Assessment. Featuring 945 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Semantic Data Model improvements can be made. In using the questions you will be better able to: - diagnose Semantic Data Model projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Semantic Data Model and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Semantic Data Model Scorecard, you will develop a clear picture of which Semantic Data Model areas need attention. Your purchase includes access details to the Semantic Data Model self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Semantic Data Model Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
