Entity-Relationship Modeling: Historical Events, Future Trends, and Lessons Learned
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Defining Business Rules ~ What Are They Really? the Business Rules Group formerly, known as the GUIDE Business Rules Project Final Report revision 1.3 July, 2000 Prepared by: Project Manager: David Hay Allan Kolber Group R, Inc. Butler Technology Solutions, Inc. Keri Anderson Healy Model Systems Consultants, Inc. Example by: John Hall Model Systems, Ltd. Project team: Charles Bachman David McBride Bachman Information Systems, Inc. Viasoft Joseph Breal Richard McKee IBM The Travelers Brian Carroll Terry Moriarty Intersolv Spectrum Technologies Group, Inc. E.F. Codd Linda Nadeau E.F. Codd & Associates A.D. Experts Michael Eulenberg Bonnie O’Neil Owl Mountain MIACO Corporation James Funk Stephanie Quarles S.C. Johnson & Son, Inc. Galaxy Technology Corporation J. Carlos Goti Jerry Rosenbaum IBM USF&G Gavin Gray Stuart Rosenthal Coldwell Banker Dyna Systems John Hall Ronald Ross Model Systems, Ltd. Ronald G. Ross Associates Terry Halpin Warren Selkow Asymetrix Corporation CGI/IBM David Hay Dan Tasker Group R, Inc. Dan Tasker John Healy Barbara von Halle The Automated Reasoning Corporation Spectrum Technologies Group, Inc. Keri Anderson Healy John Zachman Model Systems Consultants, Inc. Zachman International, Inc. Allan Kolber Dick Zakrzewski Butler Technology Solutions, Inc. Northwestern Mutual Life - ii - GUIDE Business Rules Project Final Report Table of Contents 1. Introduction 1 Project Scope And Objectives 1 Overview Of The Paper 2 The Rationale 2 A Context for Business Rules 4 Definition Of A Business Rule 4 Categories of Business Rule 6 2. Formalizing Business Rules 7 The Business Rules Conceptual Model 8 3. Formulating Business Rules 9 The Origins Of Business Rules — The Model 10 Types of Business Rule 13 Definitions 14 4. -
Infrastructure) IMS > J
NE DO-IT-O 0 16 <i#^^0%'IW#^#^#(Hyper-Intellectual-IT Infrastructure) IMS > J TO 1 3 ¥ 3 M NEDD H»* r— • ^ ’V^^ m) 010018981-0 (Hyper-Intellectual-IT fr9, (Hyper IT) i-6Z 6 & g 1% ^ L/bo i2 NEDO-IT-0016 < (Hyper-Intel lectual-IT Infrastructure) 9H3E>J 1 3 # 3 ^ lT5fe (%) B^f-r^'a'W^ZPJf (Summary) -f — t 7-j'<7)7*0- K/O- % -y f-7-? ±K*EL/--:#<<7)->5a.v-j'^T*-j'^-7OTSmiLr1 Eft • Skit • tWs§ (Otis ti® o T S T V' £ „ Ltf' U - 7- L*{Hffi,»ftffiIBIS<7)'> 5 a. V- -> 3 >^x- ? ^-Xfijfflic-7V>TI±#<<7)*®»:C0E@»S»6L, -en<b»sili*5tL^itn(i\ *7h Ty — t’ 4-^hLfcE&tt>fc1SSSeF% • Eft • KS& k" f> $ $ & b ttv>, (1) 3>ti- (2) f -^ (3) $-y t-7-7 (4) ->i ( 5 ) 7 7 t 73H7ft#-9— fxwilttas Sti:, ±EP$t t k ic, KSUWSSiaBF^ ■ Elt ■ # ## k T-<7)FB1«6 4-$v>tti u iirn *iiM LrtlSS-S k a6* 0 (1) Hyper-IT 4 7 —-y OEE$l&teH k $l!$ (2 ) Hyper-IT -f7-y*k##<7)tbK (3) KS<7)i5tv^k (4) #@<7)SEE • IISE<7)#S (5) Hwif^silftftkn-KvyT ’tt Summary In recently years, we have broad band network and The Internet environment , using these infrastructure, we will develop knowledge co-operate manufacturing support system, which can be use various kinds of simulators and databases. But knowledge co-operate manufacturing support system has a lot of problems, such as data format, legal problems, software support system and so no. -
Multiple-Aspect Analysis of Semantic Trajectories
Konstantinos Tserpes Chiara Renso Stan Matwin (Eds.) Multiple-Aspect Analysis LNAI 11889 of Semantic Trajectories First International Workshop, MASTER 2019 Held in Conjunction with ECML-PKDD 2019 Würzburg, Germany, September 16, 2019 Proceedings Lecture Notes in Artificial Intelligence 11889 Subseries of Lecture Notes in Computer Science Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany Founding Editor Jörg Siekmann DFKI and Saarland University, Saarbrücken, Germany More information about this series at http://www.springer.com/series/1244 Konstantinos Tserpes • Chiara Renso • Stan Matwin (Eds.) Multiple-Aspect Analysis of Semantic Trajectories First International Workshop, MASTER 2019 Held in Conjunction with ECML-PKDD 2019 Würzburg, Germany, September 16, 2019 Proceedings Editors Konstantinos Tserpes Chiara Renso Harokopio University ISTI-CNR Athens, Greece Pisa, Italy Stan Matwin Dalhousie University Halifax, NS, Canada ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-030-38080-9 ISBN 978-3-030-38081-6 (eBook) https://doi.org/10.1007/978-3-030-38081-6 LNCS Sublibrary: SL7 – Artificial Intelligence © The Editor(s) (if applicable) and The Author(s) 2020. This book is an open access publication. Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. -
Charles Bachman
Charles Bachman Born December 11, 1924, Manhattan, Kan.; Proposer of a network approach to storing data as in the Integrated Data Store (IDS) and developer of the OSI Reference Model. Education: BS, mechanical engineering, Michigan State University, 1948; MS, mechanical engineering, University of Pennsylvania, 1950. Professional Experience: Dow Chemical Corporation, 1950-1960; General Electric Company, 1960-1970; Honeywell Information Systems, 1970-1981; Cullinet, 1981- 1983; founder and chairman, BACHMAN Information Systems, 1983-present. Honors and Awards: ACM Turing Award, 1973; distinguished fellow, British Computer Society, 1978. Bachman began his service to the computer industry in 1958 by chairing the SHARE Data processing Committee that developed the IBM 709 Data Processing Package (9PAC), and which preceded the development of the programming language Cobol. He continued this development work through the American National Standards Institute SPARC Study Group on Data Base Management Systems (ANSI/ SPARC/DBMS) that created the layer architecture and conceptual schema for database systems. This work led to the development of the international “Reference Model for Open Systems Integration,” which included the basic idea of a seven- layer architecture, the basis of the OSI networking standard. Bachman received the 1973 ACM Turing Award for his development of the Integrated Data Store, which lifted database work from the status of a specialty to first-class citizenship in computing. IDS provided an elegant logical framework for organizing large on-line collections of variously interrelated data. The system had pragmatic significance also in taking into account advice on expected usage patterns, to improve physical data layouts. The facilities of IDS were fully integrated into the Cobol language and so became available for full-scale practical use. -
Best Practices in Business Instruction. INSTITUTION Delta Pi Epsilon Society, Little Rock, AR
DOCUMENT RESUME ED 477 251 CE 085 038 AUTHOR Briggs, Dianna, Ed. TITLE Best Practices in Business Instruction. INSTITUTION Delta Pi Epsilon Society, Little Rock, AR. PUB DATE 2001-00-00 NOTE 97p. AVAILABLE FROM Delta Pi Epsilon, P.O. Box 4340, Little Rock, AR 72214 ($15). Web site: http://www.dpe.org/ . PUB TYPE Collected Works General (020) Guides Classroom Teacher (052) EDRS PRICE EDRS Price MF01/PC04 Plus Postage. DESCRIPTORS Accounting; *Business Education; Career Education; *Classroom Techniques; Computer Literacy; Computer Uses in Education; *Educational Practices; *Educational Strategies; Group Instruction; Keyboarding (Data Entry); *Learning Activities; Postsecondary Education; Secondary Education; Skill Development; *Teaching Methods; Technology Education; Vocational Adjustment; Web Based Instruction IDENTIFIERS *Best Practices; Electronic Commerce; Intranets ABSTRACT This document is intended to give business teachers a few best practice ideas. Section 1 presents an overview of best practice and a chart detailing the instructional levels, curricular areas, and main competencies addressed in the 26 papers in Section 2. The titles and authors of the papers included in Section 2 are as follows: "A Software Tool to Generate Realistic Business Data for Teaching" (Catherine S. Chen); "Alternatives to Traditional Assessment of Student Learning" (Nancy Csapo); "Applying the Principles of Developmental Learning to Accounting Instruction" (Burt Kaliski); "Collaborative Teamwork in the Classroom" (Shelia Tucker); "Communicating Statistics Measures of Central Tendency" (Carol Blaszczynski); "Creating a Global Business Plan for Exporting" (Les Dlabay); "Creating a Supportive Learning Environment" (Rose Chinn); "Developing Job Survival Skills"(R. Neil Dortch); "Engaging Students in Personal Finance and Career Awareness Instruction: 'Welcome to the Real World!'" (Thomas Haynes); "Enticing Students to Prepare for and to Stay 'Engaged' during Class Presentations/Discussions" (Zane K. -
Integration Definition for Function Modeling (IDEF0)
NIST U.S. DEPARTMENT OF COMMERCE PUBLICATIONS £ Technology Administration National Institute of Standards and Technology FIPS PUB 183 FEDERAL INFORMATION PROCESSING STANDARDS PUBLICATION INTEGRATION DEFINITION FOR FUNCTION MODELING (IDEFO) » Category: Software Standard SUBCATEGORY: MODELING TECHNIQUES 1993 December 21 183 PUB FIPS JK- 45C .AS A3 //I S3 IS 93 FIPS PUB 183 FEDERAL INFORMATION PROCESSING STANDARDS PUBLICATION INTEGRATION DEFINITION FOR FUNCTION MODELING (IDEFO) Category: Software Standard Subcategory: Modeling Techniques Computer Systems Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899 Issued December 21, 1993 U.S. Department of Commerce Ronald H. Brown, Secretary Technology Administration Mary L. Good, Under Secretary for Technology National Institute of Standards and Technology Arati Prabhakar, Director Foreword The Federal Information Processing Standards Publication Series of the National Institute of Standards and Technology (NIST) is the official publication relating to standards and guidelines adopted and promulgated under the provisions of Section 111 (d) of the Federal Property and Administrative Services Act of 1949 as amended by the Computer Security Act of 1987, Public Law 100-235. These mandates have given the Secretary of Commerce and NIST important responsibilities for improving the utilization and management of computer and related telecommunications systems in the Federal Government. The NIST, through its Computer Systems Laboratory, provides leadership, technical guidance, -
Graph Databases – Are They Really So New
International Journal of Advances in Science Engineering and Technology, ISSN: 2321-9009 Volume- 4, Issue-4, Oct.-2016 GRAPH DATABASES – ARE THEY REALLY SO NEW 1MIRKO MALEKOVIC, 2KORNELIJE RABUZIN, 3MARTINA SESTAK 1,2,3Faculty of Organization and Informatics Varaždin, University of Zagreb, Croatia E-mail: [email protected], [email protected], [email protected] Abstract- Even though relational databases have been (and still are) the most widely used database solutions for many years, there were other database solutions in use before the era of relational databases. One of those solutions were network databases with the underlying network model, whose characteristics will be presented in detail in this paper. The network model will be compared to the graph data model used by graph databases, the relatively new category of NoSQL databases with a growing share in the database market. The similarities and differences will be shown through the implementation of a simple database using network and graph data model. Keywords- Network data model, graph data model, nodes, relationships, records, sets. I. INTRODUCTION ● Hierarchical databases This type of databases is based on the hierarchical The relational databases were introduced by E. G. data model, whose structure can be represented as a Codd in his research papers in 1970s. In those papers layered tree in which one data table represents the he discussed relational model as the underlying data root of that tree (top layer), and the others represent model for the relational databases, which was based tree branches (nodes) emerging from the root of the on relational algebra and first-order predicate logic. -
Fielder Elected
• ——— •—- •^ »!• m«g -mmiMMa&rr »• t-^ •iwiiiiiiiwum I*T The Leading and Most Widely Circulated Weekly Newspaper in Union County WESTFIELD, NEW JERSEY, WEDNESDAY, NOVEMBEB, 5, 1913, FOURTEEN PAGKS—2 CENTS NOVEMBER 5, 1913 Money deposited in our Savings Department on or before the above date, will draw interest at 4 per cent, from NOVEMBER FIRST. Check Accounts—largo or small- ? A FEW DID The Two Clark's ore Re-elected in Westfield with Many received on liberal terms. Votes to the Good—Casey Polls Big Vote in the COUNTY DEMOGRATiO ASSETS OVER $1,000,000.00 T l/OTE YESTERDAY Fourth and is Returned to the Council ASSEMBLYCANDIDATES The Early Returns Showed Traynor Running Strong for The Oldest Banking Institution in Westfield sgistsrcd Men Were Goif- Assessor, but Denman Receives Majority Elected by About Six Hundred inp or Motoring in ' of Over Two Hundred Votes Majority and Run Far Other Placos Behind Ticket MITCHELL AND ENTIRE FOSION TICKET WINS IN NEW YORE VOTES THE TOTAL CAST MAYOR EVANS WAS DEFEATED Fielder Elected "v ivory 1.308 volt's uasi in ilnyir Kvans proved his jni|m- !<i ui tiis vlcctinn nnii 17 litritv in Westiiold by luimiup •IN liii' noxt. Governor ul" New di'i-scy. 1 rejected. There were 'J2S iiliciid of l'.'.s uriiiTSl opjuMi- voters in Wcsl- cnt but imt'oHuiiiiU'ly went down Kledcd becmise of failhfu! and cfllcionl Rcrvice it tiiis t lection which prows with liis tiok«t fur tin1 Di'inncrntic in tile past. i did not avail Uiomselvcs AsKi'inlily in llio county won out right or sufTrap-d. -
A Study on Process Description Method for DFM Using Ontology
Invited Paper A Study on Process Description Method for DFM Using Ontology K. Hiekata1 and H. Yamato2 1Department of Systems Innovation, Graduate School of Engineering, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-city, Chiba 277-8563, Japan 2Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-city, Chiba 277-8563, Japan [email protected], [email protected] Abstract A method to describe process and knowledge based on RDF which is an ontology description language and IDEF0 which is a formal process description format is proposed. Once knowledge of experienced engineers is embedded into the system the knowledge will be lost in the future. A production process is described in a proposed format similar to BOM and the process can be retrieved as a flow diagram to make the engineers to understand the product and process. Proposed method is applied to a simple production process of common sub-assembly of ships for evaluation. Keywords: Production process, DFM, Ontology, Computer system 1 INTRODUCTION (Unified Resource Identifier) is assigned to all the objects, There are many research and computer program for and metadata is defined for all objects using the URI. supporting optimization of production process in Metadata is defined as a statement with subject, shipyards. And knowledge of experienced engineers is predicate and object. The statement is called triple in embedded into the system. Once the knowledge is RDF. Two kinds of elements, Literal or Resource, can be embedded into computer system, the knowledge is not a component of a statement. -
Using Telelogic DOORS and Microsoft Visio to Model and Visualize
Using DOORS & Visio to Model and Visualize Complex Business Processes Bob Sherman - [email protected] [email protected] Using Telelogic DOORS and Microsoft Visio to Model and Visualize Complex Business Processes - v1.0 © 2005 Galactic Solutions Group LLC – Authors: Bob Sherman ([email protected]), [email protected] 1 © Telelogic AB Agenda • The Unmet Need • The Solution – Strategy: Business Driven Application Lifecycle – Tactics: Business Modeling via DOORS & VISIO – Tactics: DOORS/VISIO Integration • Case Study Results Using Telelogic DOORS and Microsoft Visio to Model and Visualize Complex Business Processes - v1.0 © 2005 Galactic Solutions Group LLC – Authors: Bob Sherman ([email protected]), [email protected] 2 © Telelogic AB Chronic IT Project Problems Top IT Project Problems • User/Stakeholder Engagement Outages • Unclear Objectives • Incomplete or Changing Requirements *Standish Group Chaos Studies Using Telelogic DOORS and Microsoft Visio to Model and Visualize Complex Business Processes - v1.0 © 2005 Galactic Solutions Group LLC – Authors: Bob Sherman ([email protected]), [email protected] 3 © Telelogic AB Chronic IT Project Problems Rework • 35-65% of project budget *Standish Group spent on rework. • ~50% of rework is due to requirements errors * IEEE & University of Southern California Using Telelogic DOORS and Microsoft Visio to Model and Visualize Complex Business Processes - v1.0 © 2005 Galactic Solutions Group LLC – Authors: -
Modelling, Analysis and Design of Computer Integrated Manueactur1ng Systems
MODELLING, ANALYSIS AND DESIGN OF COMPUTER INTEGRATED MANUEACTUR1NG SYSTEMS Volume I of II ABDULRAHMAN MUSLLABAB ABDULLAH AL-AILMARJ October-1998 A thesis submitted for the DEGREE OP DOCTOR OF.PHILOSOPHY MECHANICAL ENGINEERING DEPARTMENT, THE UNIVERSITY OF SHEFFIELD 3n ti]S 5íamc of Allai]. ¿Hoot (gractouo. iHHoßt ¿Merciful. ACKNOWLEDGEMENTS I would like to express my appreciation and thanks to my supervisor Professor Keith Ridgway for devoting freely of his time to read, discuss, and guide this research, and for his assistance in selecting the research topic, obtaining special reference materials, and contacting industrial collaborations. His advice has been much appreciated and I am very grateful. I would like to thank Mr Bruce Lake at Brook Hansen Motors who has patiently answered my questions during the case study. Finally, I would like to thank my family for their constant understanding, support and patience. l To my parents, my wife and my son. ABSTRACT In the present climate of global competition, manufacturing organisations consider and seek strategies, means and tools to assist them to stay competitive. Computer Integrated Manufacturing (CIM) offers a number of potential opportunities for improving manufacturing systems. However, a number of researchers have reported the difficulties which arise during the analysis, design and implementation of CIM due to a lack of effective modelling methodologies and techniques and the complexity of the systems. The work reported in this thesis is related to the development of an integrated modelling method to support the analysis and design of advanced manufacturing systems. A survey of various modelling methods and techniques is carried out. The methods SSADM, IDEFO, IDEF1X, IDEF3, IDEF4, OOM, SADT, GRAI, PN, 10A MERISE, GIM and SIMULATION are reviewed. -
Appendix E: an Overview of the Network Data Model
Elmasri_APPC Page 1 Monday, April 3, 2006 3:40 PM An Overview of the APPENDIXE Network Data Model This appendix provides an overview of the network data model.1 The original network model and language were presented in the CODASYL Data Base Task Group’s 1971 report; hence it is sometimes called the DBTG model. Revised reports in 1978 and 1981 incorporated more recent concepts. In this appendix, rather than concentrating on the details of a particular CODASYL report, we present the general concepts behind net- work-type databases and use the term network model rather than CODASYL model or DBTG model. The original CODASYL/DBTG report used COBOL as the host language. Regardless of the host programming language, the basic database manipulation commands of the net- work model remain the same. Although the network model and the object-oriented data model are both navigational in nature, the data structuring capability of the network model is much more elaborate and allows for explicit insertion/deletion/modification semantic specification. However, it lacks some of the desirable features of the object mod- els that we discussed in Chapter 11, such as inheritance and encapsulation of structure and behavior. 1. The complete chapter on the network data model and about the IDMS system from the second edition of this book is available at http://www.awl.com/cseng/titles/0-8053-1755-4. This appendix is an edited excerpt of that chapter. E–1 Elmasri_APPC Page 2 Monday, April 3, 2006 3:40 PM E–2 Appendix E / An Overview of the Network Data Model E.1 Network Data Modeling Concepts There are two basic data structures in the network model: records and sets.