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2015 | OriginalPaper | Buchkapitel

On Extracting Information from Semi-structured Deep Web Documents

verfasst von : Patricia Jiménez, Rafael Corchuelo

Erschienen in: Business Information Systems

Verlag: Springer International Publishing

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Abstract

Some software agents need information that is provided by some web sites, which is difficult if they lack a query API. Information extractors are intended to extract the information of interest automatically and offer it in a structured format. Unfortunately, most of them rely on ad-hoc techniques, which make them fade away as the Web evolves. In this paper, we present a proposal that relies on an open catalogue of features that allows to adapt it easily; we have also devised an optimisation that allows it to be very efficient. Our experimental results prove that our proposal outperforms other state-of-the-art proposals.

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Vorheriges Kapitel Dynamic Reconfiguration of Composite Convergent Services Supported by Multimodal Search

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Titel: On Extracting Information from Semi-structured Deep Web Documents
verfasst von: Patricia Jiménez
Rafael Corchuelo
Verlag: Springer International Publishing
Buch: Business Information Systems
Print ISBN: 978-3-319-19026-6

Electronic ISBN: 978-3-319-19027-3

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-19027-3_12

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