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Authors: Junpeng Bao 1 ; Bin Tao 1 ; Jie Su 2 and Hui He 1

Affiliations: 1 Xi’an Jiaotong University, China ; 2 Xi'an Jiaotong University, China

Keyword(s): Software as a Service (Saas), Self-organizing Software (SOS), Data Mining, Service Composition, Service Oriented Architecture (SOA).

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Paradigm Trends ; Principles of SOC/SOA, Service Science ; Service Technology and Infrastructure Issues ; Services ; Services Applications ; Software Engineering

Abstract: Software as a Service (SaaS) becomes a very important trend in software engineering. In order to practice the principles of SasS and Service Oriented Architecture (SOA), we introduce a concept of Self-Organizing Software (SOS) and a simple prototype implementation, called Data Mining Service Architecture (DMS Arc) in the paper. SOS implies that the software will automatically build and accomplish the executive entity according to the user requirements. The DMS Arc is a knowledge based service composition system that aims to encapsulate basic Data Mining functions into meta services and automatically combine those services according to the stored knowledge models to fulfil a specific Data Mining requirement. We present some key issues that place in the SOS service cycle. The DMS Arc project is still on developing, and will be published as a public facility in a Cloud Computing environment.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Bao, J.; Tao, B.; Su, J. and He, H. (2012). Data Mining Service Architecture - An Exploration on Self-organizing Software. In Proceedings of the 7th International Conference on Software Paradigm Trends - ICSOFT; ISBN 978-989-8565-19-8; ISSN 2184-2833, SciTePress, pages 463-467. DOI: 10.5220/0004126504630467

@conference{icsoft12,
author={Junpeng Bao. and Bin Tao. and Jie Su. and Hui He.},
title={Data Mining Service Architecture - An Exploration on Self-organizing Software},
booktitle={Proceedings of the 7th International Conference on Software Paradigm Trends - ICSOFT},
year={2012},
pages={463-467},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004126504630467},
isbn={978-989-8565-19-8},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Software Paradigm Trends - ICSOFT
TI - Data Mining Service Architecture - An Exploration on Self-organizing Software
SN - 978-989-8565-19-8
IS - 2184-2833
AU - Bao, J.
AU - Tao, B.
AU - Su, J.
AU - He, H.
PY - 2012
SP - 463
EP - 467
DO - 10.5220/0004126504630467
PB - SciTePress