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: 10.4018/978-1-59904-618-1.ch010
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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, etc. 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, etc.

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Table of Contents
Hector Oscar Nigro, Sandra Elizabeth Gonzalez Cisaro, Daniel Hugo Xodo
Chapter 1
Sofia Stamou, Alexandros Ntoulas, Dimitris Christodoulakis
In this paper we study how we can organize the continuously proliferating Web content into topical cate-gories, also known as Web directories. In... Sample PDF
TODE: An Ontology-Based Model for the Dynamic Population of Web Directories
Chapter 2
Xuan Zhou, James Geller
This chapter introduces Raising as an operation which is used as a pre-processing step for Data Mining. In the Web Marketing Project, people’s... Sample PDF
Raising, to Enhance Rule Mining in Web Marketing with the Use of an Ontology
Chapter 3
Brigitte Trousse, Marie-Aude Aufaure, Bénédicte Le Grand, Yves Lechevallier, Florent Masseglia
This chapter proposes an original approach for ontology management in the context of Web-based information systems. Our approach relies on the usage... Sample PDF
Web Usage Mining for Ontology Management
Chapter 4
Minh Hai Pham, Delphine Bernhard, Gayo Diallo, Radja Messai, Michel Simonet
Clustering similar documents is a difficult task for text data mining. Difficulties stem especially from the way documents are translated into... Sample PDF
SOM-Based Clustering of Multilingual Documents Using an Ontology
Chapter 5
Ana Isabel Canhoto
The use of automated systems to collect, process and analyse vast amounts of data is now integral to the operations of many corporations and... Sample PDF
Ontology-Based Interpretation and Validation of Mined Knowledge: Normative and Cognitive Factors in Data Mining
Chapter 6
Amandeep S. Sidhu, Tharam S. Dillon, Elizabeth Chang
Traditional approaches to integrate protein data generally involved keyword searches, which immediately excludes unannotated or poorly annotated... Sample PDF
Data Integration Through Protein Ontology
Chapter 7
Josiane Mothe, Nathalie Hernandez
This chapter introduces a method re-using a thesaurus built for a given domain, in order to create new resources of a higher semantic level in the... Sample PDF
TtoO: Mining a Thesaurus and Texts to Build and Update a Domain Ontology
Chapter 8
Stanley Loh, Daniel Lichtnow, Thyago Borges, Gustavo Piltcher
This chapter investigates different aspects in the construction of a domain ontology to a content-based recommender system. The recommender systems... Sample PDF
Evaluating the Construction of Domain Ontologies for Recommender Systems Based on Texts
Chapter 9
Vania Bogorny, Paulo Martins Engel, Luis Otavio Alavares
This chapter introduces the problem of mining frequent geographic patterns and spatial association rules from geographic databases. In the... Sample PDF
Enhancing the Process of Knowledge Discovery in Geographic Databases Using Geo-Ontologies
Chapter 10
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
Chapter 11
Shastri L. Nimmagadda, Heinz Dreher
Several issues of database organization of petroleum industries have been highlighted. Complex geo-spatial heterogeneous data structures complicate... Sample PDF
Ontology-Based Data Warehousing and Mining Approaches in Petroleum Industries
Chapter 12
Evangelos Kotsifakos, Gerasimos Marketos, Yannis Theodoridis
Pattern Base Management Systems (PBMS) have been introduced as an effective way to manage the high volume of patterns available nowadays. PBMS... Sample PDF
A Framework for Integrating Ontologies and Pattern-Bases
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