DOCSLIB.ORG

Federal Information Processing Standards Publication

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Federal Information Processing Standards Publication U.S. DEPARTMENT OF COMMERCE Technology Administration National Institute of Standards and Technology NAT L INST, OF STAND & TECH R.I.C. FIPS PUB 184 FEDERAL INFORMATION PROCESSING STANDARDS PUBLICATION INTEGRATION DEFINITION FOR INFORMATION MODELING (IDEF1X) Category; Software Standard SUBCATEGORY: MODELING TECHNIQUES 1993 December 21 184 PUB FIPS 1995 FiPS PUB 184 FEDERAL INFORMATION PROCESSING STANDARDS PUBLICATION INTEGRATION DEFINITION FOR INFORMATION MODELING (IDEF1X) 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, and coordination of Government efforts in the development of standards and guidelines in these areas. Comments concerning Federal Information Processing Standards Publications are welcomed and should be addressed to the Director, Computer Systems Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899. James H. Burrows, Director Computer Systems Laboratory Abstract The Integration Definition for Information Modeling (IDEF1X) is based on the Inte¬ gration Information Support System (MSS), Volume V-Common Data Model Subsys¬ tem, Part 4-Information Modeling Manual-IDEF1 Extended, 1 (IDEF1X) November 1985. This standard describes the IDEF1X modeling language (semantics and syntax) and associated rules and techniques, for developing a logical model of data. IDEF1X is used to produce a graphical information model which represents the structure and semantics of information within an environment or system. Use of this standard per¬ mits the construction of semantic data models which may serve to support the man¬ agement of data as a resource, the integration of information systems, and the building of computer databases. Key words; Federal Information Processing Standard (FIPS); graphical language; IDEF1X; information model; logical; model; semantic data model; system information. National Institute of Standards U.S. Government Printing Office For sale by the National and Technology Washington: 1993 Technical Information FIPS PUB 184 Service 161 pages (Dec. 21, 1993) U.S. Department of Commerce CODEN: FIPPAT Springfield, VA 22161 FIPS PUB 184 Federal Information Processing Standards Publication 184 1993 December 21 Announcing the Standard for INTEGRATION DEFINITION FOR INFORMATION MODELING (IDEF1X) Federal Information Processing Standards Publications (FIPS PUBS) are issued by the National Institute of Standards and Technology (NIST) after approval by the Secretary of Commerce pursuant to Section 111 (d) of the Federal Property and Administra¬ tive Services Act of 1949 as amended by the Computer Security Act of 1987, Public Law 100-235. 1. Name of Standard. Integration Definition for Information Modeling (IDEF1X). 2. Category of Standard. Software Standard, Modeling Techniques. 3. Explanation. This publication announces the adoption of the Integration Definition for Information Modeling (IDEF1X) as a Federal Information Processing Standard (FIPS). This standard is based on the Integration Information Support System (lISS), Volume V—Common Data Model Subsystem, Part 4- Information Modeling Manual-IDEF1 Extended, 1 (IDEF1X) November 1985. This standard describes the IDEF1X modeling language (semantics and syntax) and associated rules and techniques, for developing a logical model of data. IDEF1X is used to produce a graphical information model which represents the structure and semantics of information within an environment or system. Use of this standard permits the construction of semantic data models which may serve to support the manage¬ ment of data as a resource, the integration of information systems, and the building of computer databases. This standard is the reference authority for use by information modelers required to utilize the IDEF1X modeling technique, implementors in developing tools for implementing this technique, and other com¬ puter professionals in understanding the precise syntactic and semantic rules of the standard. 4. Approving Authority. Secretary of Commerce. 5. Maintenance Agency. Department of Commerce, National Institute of Standards and Technology, Computer Systems Laboratory. 6. Cross Index. a. Integration Information Support System (lISS), Volume V-Common Data Model Subsystem, Part 4-Information Modeling Manual —IDEF1 Extended. 7. Related Documents. a. Federal Information Resources Management Regulations Subpart 201.20.303, Standards, and Subpart 201.39.1002, Federal Standards. b. ICAM Architecture Part II, Volume V—Information Modeling Manual (IDEF1), AFWAL-TR-81-4023, Materials Laboratory, Air Force Wright Aeronautical Laboratories, Air Force Systems Command, Wright- Patterson Air Force Base, Ohio 45433, June 1981. c. ICAM Architecture Part II, Volume IV-Function Modeling Manual (IDEFO), AFWAL-TR-81-4023, Materials Laboratory, Air Force Wright Aeronautical Laboratories, Air Force Systems Command, Wright- Patterson Air Force Base, Ohio 45433, June 1981. d. ICAM Configuration Management, Volume II - ICAM Documentation Standards for Systems Devel¬ opment Methodology (SDM), AFWAL-TR-82-4157, Air Force Systems Command, Wright-Patterson Air Force Base, Ohio 45433, October 1983. 1 FIPS PUB 184 8. Objectives. The primary objectives of this standard are: a. To provide a means for completely understanding and analyzing an organization’s data resources: b. To provide a common means of representing and communicating the complexity of data; c. To provide a technique for presenting an overall view of the data required to run an enterprise; d. To provide a means for defining an application-independent view of data which can be validated by users and transformed into a physical database design; e. To provide a technique for deriving an integrated data definition from existing data resources. 9. Applicability. An information modeling technique is used to model data in a standard, consistent, predictable manner in order to manage it as a resource. The use of this standard is strongly recommended for all projects requiring a standard means of defin¬ ing and analyzing the data resources within an organization. Such projects include: a. incorporating a data modeling technique into a methodology: b. using a data modeling technique to manage data as a resource; c. using a data modeling technique for the integration of information systems; d. using a data modeling technique for designing computer databases. The specifications of this standard are applicable when a data modeling technique is applied to the following: a. projects requiring IDEF1X as the modeling technique; b. development of automated software tools implementing the IDEF1X modeling technique. The specification of this standard are not applicable to those projects requiring data modeling tech¬ nique other than IDEF1X. Nonstandard features of the IDEF1X technique should be used only when the needed operation or function cannot reasonably be implemented with the standard features alone. Although nonstandard fea¬ tures can be very useful, it should be recognized that the use of these or any other nonstandard elements may make the integration of data models more difficult and costly. 10. Specifications. This standard adopts the Integration Definition Method for Information Modeling (IDEF1X) as a Federal Information Processing Standard (FIPS). 11. implementation. The implementation of this standard involves two areas of consideration; acquisi¬ tion of implementations and interpretation of the standard. 11.1 Acquisition of IDEF1X Implementations. This publication (FIPS 184) is effective June 30, 1994. Projects utilizing the IDEF1X data modeling technique, or software implementing the IDEF1X data modeling technique, acquired for Federal use after this date should conform to FIPS 184. Conformance to this standard should be considered whether the project utilizing the IDEF1X data modeling technique is acquired as part of an ADP system procurement, acquired by separate procurement, used under an ADP leasing arrangement, or specified for use in contracts for programming services. A transition period provides time for industry to develop products conforming to this standard. The transition period begins on the effective date and continues for one (1) year thereafter. The provisions of this publication apply to orders placed after the date of this publication; however, utilizing an IDEF1X infor¬ mation modeling technique that does not conform to this standard may be permitted during the transition period. 2 FIPS PUB 184 11.2 Interpretation of this FIPS. NIST provides for the resolution of questions regarding
Load more

Recommended publications
  • Data Warehouse: an Integrated Decision Support Database Whose Content Is Derived from the Various Operational Databases
    1 www.onlineeducation.bharatsevaksamaj.net www.bssskillmission.in DATABASE MANAGEMENT Topic Objective: At the end of this topic student will be able to: Understand the Contrasting basic concepts Understand the Database Server and Database Specified Understand the USER Clause Definition/Overview: Data: Stored representations of objects and events that have meaning and importance in the users environment. Information: Data that have been processed in such a way that they can increase the knowledge of the person who uses it. Metadata: Data that describes the properties or characteristics of end-user data and the context of that data. Database application: An application program (or set of related programs) that is used to perform a series of database activities (create, read, update, and delete) on behalf of database users. WWW.BSSVE.IN Data warehouse: An integrated decision support database whose content is derived from the various operational databases. Constraint: A rule that cannot be violated by database users. Database: An organized collection of logically related data. Entity: A person, place, object, event, or concept in the user environment about which the organization wishes to maintain data. Database management system: A software system that is used to create, maintain, and provide controlled access to user databases. www.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in 2 www.onlineeducation.bharatsevaksamaj.net www.bssskillmission.in Data dependence; data independence: With data dependence, data descriptions are included with the application programs that use the data, while with data independence the data descriptions are separated from the application programs. Data warehouse; data mining: A data warehouse is an integrated decision support database, while data mining (described in the topic introduction) is the process of extracting useful information from databases.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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,
    [Show full text]
  • Chapter 2: Database System Concepts and Architecture Define
    Chapter 2: Database System Concepts and Architecture define: data model - set of concepts that can be used to describe the structure of a database data types, relationships and constraints set of basic operations - retrievals and updates specify behavior - set of valid user-defined operations categories: high-level (conceptual data model) - provides concepts the way a user perceives data - entity - real world object or concept to be represented in db - attribute - some property of the entity - relationship - represents and interaction among entities representational (implementation data model) - hide some details of how data is stored, but can be implemented directly - record-based models like relational are representational low-level (physical data model) - provides details of how data is stored - record formats - record orderings - access path (for efficient search) schemas and instances: database schema - description of the data (meta-data) defined at design time each object in schema is a schema construct EX: look at TOY example - top notation represents schema schema constructs: cust ID; order #; etc. database state - the data in the database at any particular time - also called set of instances an instance of data is filled when database is populated/updated EX: cust name is a schema construct; George Grant is an instance of cust name difference between schema and state - at design time, schema is defined and state is the empty state - state changes each time data is inserted or updated, schema remains the same Three-schema architecture
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • Data Models for Home Services
    __________________________________________PROCEEDING OF THE 13TH CONFERENCE OF FRUCT ASSOCIATION Data Models for Home Services Vadym Kramar, Markku Korhonen, Yury Sergeev Oulu University of Applied Sciences, School of Engineering Raahe, Finland {vadym.kramar, markku.korhonen, yury.sergeev}@oamk.fi Abstract An ultimate penetration of communication technologies allowing web access has enriched a conception of smart homes with new paradigms of home services. Modern home services range far beyond such notions as Home Automation or Use of Internet. The services expose their ubiquitous nature by being integrated into smart environments, and provisioned through a variety of end-user devices. Computational intelligence require a use of knowledge technologies, and within a given domain, such requirement as a compliance with modern web architecture is essential. This is where Semantic Web technologies excel. A given work presents an overview of important terms, vocabularies, and data models that may be utilised in data and knowledge engineering with respect to home services. Index Terms: Context, Data engineering, Data models, Knowledge engineering, Semantic Web, Smart homes, Ubiquitous computing. I. INTRODUCTION In recent years, a use of Semantic Web technologies to build a giant information space has shown certain benefits. Rapid development of Web 3.0 and a use of its principle in web applications is the best evidence of such benefits. A traditional database design in still and will be widely used in web applications. One of the most important reason for that is a vast number of databases developed over years and used in a variety of applications varying from simple web services to enterprise portals. In accordance to Forrester Research though a growing number of document, or knowledge bases, such as NoSQL is not a hype anymore [1].
    [Show full text]
  • 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.
    [Show full text]
  • Ontology Transformation: from Requirements to Conceptual Model*
    Justas Trinkunas, Olegas Vasilecas Ontology Transformation: from Requirements to .. SCIeNTIfIC PAPeRS, UNIVeRSITy of Latvia, 2009. Vol. 751 COMPUTER SCIENCE AND Information TECHNOLOGIES 52–64 P. Ontology Transformation: from Requirements to Conceptual Model* Justas Trinkunas1 and Olegas Vasilecas2, 3 1 Information Systems Research Laboratory, Faculty of Fundamental Sciences, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius-40, Lithuania, [email protected] 2 Information Systems Research Laboratory, Faculty of Fundamental Sciences, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius-40, Lithuania, [email protected] 3 Department of Computer Science, Faculty of Natural Sciences, Klaipeda University, Herkaus Manto 84, LT-92294 Klaipeda, [email protected] Information systems are increasingly complex, especially in the enormous growth of the volume of data, different structures, different technologies, and the evolving requirements of the users. Consequently, current applications require an enormous effort of design and development. The fast-changing requirements are the main problem in creating and/or modifying conceptual data models. To improve this process, we proposed to reuse already existing knowledge for conceptual modelling. In the paper, we have analysed reusable knowledge models. We present our method for creating conceptual models from various knowledge models. Keywords: transformation, ontology, data modelling. 1 Introduction Most of information systems analysts have at least once considered how many times they have to analyse the same problems, create and design the same things. Most of them ask, is it possible to reuse already existing knowledge? Our answer is yes. We believe that knowledge can and should be reused for information systems development.
    [Show full text]
  • Enterprise Data Modeling Using the Entity-Relationship Model
    Database Systems Session 3 – Main Theme Enterprise Data Modeling Using The Entity/Relationship Model Dr. Jean-Claude Franchitti New York University Computer Science Department Courant Institute of Mathematical Sciences Presentation material partially based on textbook slides Fundamentals of Database Systems (6th Edition) by Ramez Elmasri and Shamkant Navathe Slides copyright © 2011 1 Agenda 11 SessionSession OverviewOverview 22 EnterpriseEnterprise DataData ModelingModeling UsingUsing thethe ERER ModelModel 33 UsingUsing thethe EnhancedEnhanced Entity-RelationshipEntity-Relationship ModelModel 44 CaseCase StudyStudy 55 SummarySummary andand ConclusionConclusion 2 Session Agenda Session Overview Enterprise Data Modeling Using the ER Model Using the Extended ER Model Case Study Summary & Conclusion 3 What is the class about? Course description and syllabus: » http://www.nyu.edu/classes/jcf/CSCI-GA.2433-001 » http://cs.nyu.edu/courses/fall11/CSCI-GA.2433-001/ Textbooks: » Fundamentals of Database Systems (6th Edition) Ramez Elmasri and Shamkant Navathe Addition Wesley ISBN-10: 0-1360-8620-9, ISBN-13: 978-0136086208 6th Edition (04/10) 4 Icons / Metaphors Information Common Realization Knowledge/Competency Pattern Governance Alignment Solution Approach 55 Agenda 11 SessionSession OverviewOverview 22 EnterpriseEnterprise DataData ModelingModeling UsingUsing thethe ERER ModelModel 33 UsingUsing thethe EnhancedEnhanced Entity-RelationshipEntity-Relationship ModelModel 44 CaseCase StudyStudy 55 SummarySummary andand ConclusionConclusion
    [Show full text]
  • International Standard Iso/Iec/ Ieee 31320-2
    This is a previewINTERNATIONAL - click here to buy the full publication ISO/IEC/ STANDARD IEEE 31320-2 First edition 2012-09-15 Information technology — Modeling Languages — Part 2: Syntax and Semantics for IDEF1X97 (IDEFobject) Technologies de l'information — Langages de modélisation — Partie 2: Syntaxe et sémantique pour IDEF1X97 (IDEFobject) Reference number ISO/IEC/IEEE 31320-2:2012(E) © IEEE 1999 ISO/IEC/IEEE 31320-2:2012(E)This is a preview - click here to buy the full publication COPYRIGHT PROTECTED DOCUMENT © IEEE 1999 All rights reserved. Unless otherwise specified, no part of this publication may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying and microfilm, without permission in writing from ISO, IEC or IEEE at the respective address below. ISO copyright office IEC Central Office Institute of Electrical and Electronics Engineers, Inc. Case postale 56 3, rue de Varembé 3 Park Avenue, New York CH-1211 Geneva 20 CH-1211 Geneva 20 NY 10016-5997, USA Tel. + 41 22 749 01 11 Switzerland E-mail [email protected] Fax + 41 22 749 09 47 E-mail [email protected] Web www.ieee.org E-mail [email protected] Web www.iec.ch Web www.iso.org Published in Switzerland ii © IEEE 1999 – All rights reserved This is a preview - click here to buy the full publicationISO/IEC/IEEE 31320-2:2012(E) Foreword ISO (the International Organization for Standardization) and IEC (the International Electrotechnical Commission) form the specialized system for worldwide standardization. National bodies that are members of ISO or IEC participate in the development of International Standards through technical committees established by the respective organization to deal with particular fields of technical activity.
    [Show full text]