Library Automation and Digital Archive
LONTAR
Fakultas Ilmu Komputer
Universitas Indonesia

Pencarian Sederhana

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Tipe Koleksi Indeks Artikel Jurnal
Nama Jurnal BUSINESS SCIENCE REFERENCE
Volume []
Judul Artikel Models and approaches for web information extraction and web page understanding, pages 25-50
Penulis Ruslan R. Fayzrakhmanov
Penerbit Jurnal IGI Global book series advances in E-business Research (AEBR)
Lokasi : Perpustakaan Fakultas Ilmu Komputer
Nomor Panggil ID Koleksi Status
TERSEDIA
Tidak ada review pada koleksi ini: 42729
This chapter discusses the main challenges addressed within the fields of Web information extraction and Web page understanding and considers different utilized Web page representations. A configurable Java-based framework for implementing effective methods for Web Page Processing (WPP) called WPPS is presented as the result of this analysis. WPPS leverages a Unified Ontological Model (UOM) of Web pages that describes their different aspects, such as layout, visual features, interface, DOM tree, and the logical structure in the form of one consistent model. The UOM is a formalization of certain layers of a Web page conceptualization defined in the chapter. A WPPS API provided for the development of WPP methods makes it possible to combine the declarative approach, represented by the set of inference rules and SPARQL queries, with the object-oriented approach. The framework is illustrated with one example scenario related to the identification of a Web page navigation menu.