OOER '95 Object-Oriented and Entity-Relationship Modeling: 14th International Conference, Gold Coast, Australia, December 13 - 15, 1995. Proceedings

by Michael Papazoglou (Editor)

Overview

This volume constitutes the refereed proceedings of the 14th International Conference on Object-Oriented and Entity-Relationship Modelling, OOER '95, held in Gold Coast, Australia in December 1995.

The 36 papers presented together with an invited presentation by Gio Wiederhold were selected from a total of 120 submissions. The papers are organized in sections on object design and modelling, models and languages, reverse engineering and schema transformation, behavioral modelling, non-traditional modelling, theoretical foundations, business re-engineering, integrated approaches, cooperative work modelling, temporal data modelling, federated systems design, and industrial stream papers

Product Details

ISBN-13:	9783540606727
Publisher:	Springer Berlin Heidelberg
Publication date:	12/13/1995
Series:	Lecture Notes in Computer Science , #1021
Edition description:	1995
Pages:	459
Product dimensions:	6.10(w) x 9.25(h) x 0.04(d)

Table of Contents

Modeling and system maintenance.- Adaptive schema design and evaluation in an object-oriented information system.- Assertion of consistency within a complex object database using a relationship construct.- A cryptographic mechanism for object-instance-based authorization in object-oriented database systems.- Unifying modeling and programming through an active, object-oriented, model-equivalent programming language.- A declarative query approach to object identification.- Versatile querying facilities for a dynamic object clustering model.- Reverse engineering of relational database applications.- A rigorous approach to schema restructuring.- Managing schema changes in object-relationship databases.- Behavioural constraints: Why using events instead of states.- Behavior consistent extension of object life cycles.- Color-X Event Model: Integrated specification of the dynamics of individual objects.- Database design with behavior and views using parameterized Petri nets.- SEER: Security enhanced entity-relationship model for secure relational databases.- Neural network technology to support view integration.- Database schema transformation and optimization.- Mapping an extended entity-relationship schema into a schema of complex objects.- Binary representation of ternary relationships in ER conceptual modeling.- Variable sets and functions framework for conceptual modeling: Integrating ER and OO via sketches with dynamic markers.- A logic framework for a semantics of object oriented data modelling.- Object-oriented meta modelling.- A conceptual model for business re-engineering methods and tools.- Data model evolution as a basis of business process management.- Reengineering processes in public administrations.- Uniqueness conditions for ER representations.- Rapid prototyping: An integrated CASE based approach.- Integrating and supporting Entity Relationship and Object Role Models.- From object specification towards agent design.- Conceptual modeling of workflows.- An object oriented approach for CSCW system design.- Semantics of time-varying attributes and their use for temporal database design.- Handling change management using temporal active repositories.- A graphical query language for temporal databases.- Managing object identity in federated database systems.- Management of inconsistent information in federated systems.- Resolving structural conflicts in the integration of Entity-Relationship schemas.- Use and control of data models: A repository approach.- The seven habits of highly effective data modellers (and object modellers?).- Object responsibility categories in support of top-down object discovery.- Denormalisation as an OO extension.- Development of a financial markets analytical product: A MOSES casestudy.- The practice of nuclear integrated design and engineering database establishment using object-oriented DBMS.- Application of “consistent dependency” to corporate and project information models.- The use of agglomerative categorisation to build a conceptual view of statistical data.