Ontology-Based Construction of Grid Data Mining Workflows

Ontology-Based Construction of Grid Data Mining Workflows

Peter Brezany (University of Vienna, Austria), Ivan Janciak (University of Vienna, Austria) and A Min Tjoa (Vienna University of Technology, Austria)
DOI: 10.4018/978-1-60566-370-8.ch021
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Abstract

This chapter introduces an ontology-based framework for automated construction of complex interactive data mining workflows as a means of improving productivity of Grid-enabled data exploration systems. The authors first characterize existing manual and automated workflow composition approaches and then present their solution called GridMiner Assistant (GMA), which addresses the whole life cycle of the knowledge discovery process. GMA is specified in the OWL language and is being developed around a novel data mining ontology, which is based on concepts of industry standards like the predictive model markup language, cross industry standard process for data mining, and Java data mining API. The ontology introduces basic data mining concepts like data mining elements, tasks, services, and so forth. In addition, conceptual and implementation architectures of the framework are presented and its application to an example taken from the medical domain is illustrated. The authors hope that the further research and development of this framework can lead to productivity improvements, which can have significant impact on many real-life spheres. For example, it can be a crucial factor in achievement of scientific discoveries, optimal treatment of patients, productive decision making, cutting costs, and so forth.
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Background

In the context of modern service-oriented Grid architectures, the data mining workflow can be seen as a collection of Grid services that are processed on distributed resources in a well-defined order to accomplish a larger and sophisticated data exploration goal. At the highest level, functions of Grid workflow management systems could be characterized into build-time functions and run-time functions. The build-time functions are concerned with defining and modeling workflow tasks and their dependencies while the run-time functions are concerned with managing the workflow execution and interactions with Grid resources for processing workflow applications. Users interact with workflow modeling tools to generate a workflow specification, which is submitted for execution to a run-time service called workflow enactment service, or workflow engine. Many languages, mostly based on XML, were defined for workflow description, like XLANG (Thatte, 2001), WSFL (Leymann, 2001), DSCL (Kickinger et al., 2003) and BPML (Arkin, 2002). Eventually the WSBPEL (Arkin et al., 2005) and BPEL4WS (BEA et al., 2003) specifications emerged as the de facto standard.

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Editorial Advisory Board
Table of Contents
Acknowledgment
Chapter 1
Fangpeng Dong, Selim G. Akl
Over the past decade, Grid Computing has earned its reputation by facilitating resource sharing in larger communities and providing non-trivial... Sample PDF
Two Approaches of Workflow Scheduling with QoS in the Grid
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Chapter 2
Francesco Palmieri, Ugo Fiore
In the past decade there has been a remarkable change from mainframe-based centralized computing to a distributed client/server approach. In the... Sample PDF
Dynamic Network Optimization for Effective Qos Support in Large Grid Infrastructures
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Chapter 3
Junwei Cao, Fan Zhang, Ke Xu, Lianchen Liu
Grid workflows are becoming a mainstream paradigm for implementing complex grid applications. In addition to existing grid enabling techniques... Sample PDF
From Enabling to Ensuring Grid Workflows
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Chapter 4
Chuliang Weng, Jian Cao, Minglu Li
In the grid context, the scheduling can be grouped into two categories: offline scheduling and online scheduling. In the offline scheduling... Sample PDF
The Cost-Based Resource Management in Combination with Qos For Grid Computing
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Chapter 5
Yijun Lu, Hong Jiang, Ying Lu
Consistency control is important in replication-based-Grid systems because it provides QoS guarantee. However, conventional consistency control... Sample PDF
Providing Quantitative Scalability Improvement of Consistency Control for Large-Scale, Replication-Based Grid Systems
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Chapter 6
Kuo-Chan Huang, Po-Chi Shih, Yeh-Ching Chung
This chapter elaborates the quality of service (QoS) aspect of load sharing activities in a computational grid environment. Load sharing is achieved... Sample PDF
QoS-based Job Scheduling and Resource Management Strategies for Grid Computing
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Chapter 7
Dimosthenis Kyriazis, Andreas Menychtas, Theodora Varvarigou
This chapter focuses on presenting and describing an approach that allows the mapping of workflow processes to Grid provided services by not only... Sample PDF
Grid Workflows with Encompassed Business Relationship: An Approach Establishing Quality of Service Guarantees
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Chapter 8
Justin M. Wozniak, Aaron Striegel
Opportunistic techniques have been widely used to create economical computation infrastructures and have demonstrated an ability to deliver... Sample PDF
Investigating Deadline-Driven Scheduling Policy via Simulation with East
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Chapter 9
Antonios Litke
Grids can form the basis for pervasive computing due to their ability of being open, scalable, and flexible to various changes (from topology... Sample PDF
Achieving QoS in Highly Unreliable Grid Environments
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Chapter 10
Fang Huang
With the development of grid technology, the spatial information grid researches are also in progress. In China, the spatial information grid... Sample PDF
Implementation and QoS for High-performance GIServices in Special Information Grid
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Chapter 11
Xiangfeng Luo, Jie Yu
Web Knowledge Flow provides a technique and theoretical support for the effective discovery of knowledge innovation, intelligent browsing... Sample PDF
The Interactive Computing of Web Knowledge Flow - from Web to Knowledge Web
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Chapter 12
Guanfeng Liu
This chapter mainly introduces some recent researches of reputation evaluation methods in Grid economy. The GRACE (Grid Architecture for... Sample PDF
Reputation Evaluation Framework Based on QoS in Grid Economy Environments
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Chapter 13
Cheng Fu, Bang Wang
A major design challenge in wireless sensor network application development is to provide appropriate middleware service protocols to control the... Sample PDF
Distributed Scheduling Protocols for Energy Efficient Large-Scale Wireless Sensor Networks
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Chapter 14
Kaijun Ren, Jinjun Chen, Nong Xiao, Weimin Zhang
In scientific computing environments such as service grid environments, services are becoming basic collaboration components which can be used to... Sample PDF
A QSQL-Based Service Collaboration Method for Automatic Service Composition, and Optimized Execution
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Chapter 15
Xiaoyu Yang, Gen-Tao Chiang
It will become increasingly popular that scientists in research institutes will make use of Grid computing resources for running computer... Sample PDF
Hands on Experience on Building Institutional Grid Infrastructure
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Chapter 16
Dan Chen
The emergence of Grid technologies provide exciting new opportunities for large scale simulation over Internet, enabling collaboration and the use... Sample PDF
A Grid Aware Large Scale Agent-based Simulation System
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Chapter 17
Guy Gouardères, Emilie Conté
In Vocational and Educational Training (VET), new trends are toward social learning and, more precisely, toward informal learning. In such settings... Sample PDF
E-Portfolio to Promote Virtual Learning Group Communities on the Grid
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Chapter 18
Chen Zhou, Liang-Tien Chia, Bu-Sung Lee
Web services’ discovery mechanism is one of the most important research areas in Web services because of the dynamic nature of Web services. In... Sample PDF
QoS-Aware Web Services Discovery with Federated Support for UDDI
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Chapter 19
Mirghani Mohamed, Michael Stankosky, Vincent Ribière
The purpose of this article is to investigate the requirements of knowledge management (KM) services deployment in a Semantic Grid environment. A... Sample PDF
The Key Requirements for deploying Knowledge Management Services in a Semantic Grid Environment
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Chapter 20
Yogesh L. Simmhan, Beth Plale, Dennis Gannon
The increasing ability for the sciences to sense the world around us is resulting in a growing need for datadriven e-Science applications that are... Sample PDF
Karma2: Provenance Management for Data-Driven Workflows
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Chapter 21
Peter Brezany, Ivan Janciak, A Min Tjoa
This chapter introduces an ontology-based framework for automated construction of complex interactive data mining workflows as a means of improving... Sample PDF
Ontology-Based Construction of Grid Data Mining Workflows
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Chapter 22
Muzhou Xiong, Hai Jin
In this chapter, two algorithms have been presented for supporting efficient data transfer in the Grid environment. From a node’s perspective, a... Sample PDF
Optimization Algorithms for Data Transfer in the Grid Environment
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About the Contributors