Difference between revisions of "APCCM 2019"

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|Has host organization=Macquarie University, Australia
 
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|has program chair=Matt Selway, Junhu Wang
 
|has program chair=Matt Selway, Junhu Wang
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|has Proceedings Link=https://dl.acm.org/doi/proceedings/10.1145/3290688#heading6
 
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Aims
 
Aims

Revision as of 17:55, 15 April 2020

APCCM 2019
15th Asia-Pacific Conference on Conceptual Modelling
Event in series APCCM
Subevent of Australasian Computer Science Week (ASCW 2019)
Dates 2019/01/29 (iCal) - 2019/01/31
Homepage: http://www.ict.griffith.edu.au/conferences/apccm2019/index.html
Location
Location: Sydney, Australia
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Committees
PC chairs: Matt Selway, Junhu Wang
Table of Contents


Aims

The Asia-Pacific Conference on Conceptual Modelling provides an annual forum for disseminating the results of innovative research in information modelling and related areas. The fifteenth conference of the series will be held from January 29 to 31 as a track of the Australasian Computer Science Week (ACSW 2019), hosted at Macquarie University, Australia. Registration will enable delegates to attend sessions in any conference participating in the Australasian Computer Science Week. A full list of conferences and further details of ACSW can be accessed at http://www.acsw.org.au/

The amount, complexity and diversity of data held in computer systems is constantly on the increase, and so are the requirements and challenges that need to be met to ensure useful access and manipulation of this information. Conceptual modelling is fundamental to the development of up-to-date information and knowledge-based systems. The conference series aims at bringing together experts from all areas of computer science and information systems with a common interest in the subject.

Conference Topics

APCCM invites contributions addressing current research in conceptual modelling as well as experiences, novel applications and future challenges. Topics of interest include, but are not restricted to:


* Business, enterprise, process and services modelling;
*     Big data modelling
*     Concepts, concept theories and ontologies;
*     Conceptual modelling and user participation;
*     Conceptual modelling for
*         Decision support and expert systems;
*         Digital libraries;
*         E-business, e-commerce and e-banking systems;
*         Health care systems;
*         Knowledge management systems;
*         Mobile information systems;
*         User interfaces; and
*         Web-based systems; 
*     Conceptual modelling of semi-structured data and XML;
*     NoSQL and NewSQL Databases
*     Conceptual modelling of spatial, temporal and biological data;
*     Conceptual modelling quality;
*     Conceptual models for cloud computing applications;
*     Conceptual models for supporting requirement engineering;
*     Conceptual models in management science;
*     Design patterns and object-oriented design;
*     Evolution and change in conceptual models;
*     Implementations of information systems;
*     Data Semantics and Integrity Constraints
*     Information and schema integration;
*     Information customisation and user profiles;
*     Information recognition and information modelling;
*     Information retrieval, analysis, visualisation and prediction;
*     Information systems design methodologies;
*     Knowledge discovery, knowledge representation and knowledge management;
*     Methods for developing, validating and communicating conceptual models;
*     Models for the Semantic Web;
*     Philosophical, mathematical and linguistic foundations of conceptual models;
*     Reuse, reverse engineering and reengineering; and
*     Software engineering and tools for information systems development.