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Automatic multi-partite graph generation from arbitrary data

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10.1016/j.jss.2014.03.022
 
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hdl:2117/26446

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Álvarez García, Sandra
Baeza Yates, Ricardo
Brisaboa, Nieves R.
Larriba Pey, JosepMés informacióMés informacióMés informació
Pedreira, Oscar
Document typeArticle
Defense date2014-08-22
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
In this paper we present a generic model for automatic generation of basic multi-partite graphs obtained from collections of arbitrary input data following user indications. The paper also presents GraphGen, a tool that implements this model. The input data is a collection of complex objects composed by a set or list of heterogeneous elements. Our tool provides a simple interface for the user to specify the types of nodes that are relevant for the application domain in each case. The nodes and the relationships between them are derived from the input data through the application of a set of derivation rules specified by the user. The resulting graph can be exported in the standard GraphML format so that it can be further processed with other graph management and mining systems. We end by giving some examples in real scenarios that show the usefulness of this model.
CitationÁlvarez, S. [et al.]. Automatic multi-partite graph generation from arbitrary data. "Journal of systems and software", 22 Agost 2014, vol. 94, p. 72-86. 
URIhttp://hdl.handle.net/2117/26446
DOI10.1016/j.jss.2014.03.022
ISSN0164-1212
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  • DAMA-UPC - Data Management Group de la Universitat Politècnica de Catalunya - Articles de revista [14]
  • Departament d'Arquitectura de Computadors - Articles de revista [957]
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