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Ingeniare. Revista chilena de ingeniería

versión On-line ISSN 0718-3305

Resumen

HENRIQUEZ MIRANDA, Carlos  y  GUZMAN, Jaime. Information extraction from the web to identify actions of an automated planning domain model. Ingeniare. Rev. chil. ing. [online]. 2015, vol.23, n.3, pp.439-448. ISSN 0718-3305.  http://dx.doi.org/10.4067/S0718-33052015000300013.

Automated Planning (AP) is the discipline of Artificial Intelligence whose aim is to produce a sequence of actions in order to achieve a specific goal and requires the inflow of a pre-defined action model. However, to start the construction of this model is a difficult task even for experts. This paper proposes the extraction of information from the Web, in order to identify those elements that correspond to the action model for AP tasks, by analyzing a number of Web pages that contain data of already existing programs and extracting from them a set of tools which would allow to solve any given problem. The data obtained will be processed using Natural Language Processing (NLP) tools, in order to identify a set of actions that are part of an AP domain model. The proposed system reached an average accuracy of89.87% and save all actions taken on ontology to form a Knowledge Base (BC), which allows later use for other domains of PA. This article presents the results of a partial research about the uses of extraction tools, pre-processing, identification of components and storage in the ontology.

Palabras clave : Information extraction; automated planning; ontology; Web; NLP; PDDL.

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