A Framework for Extracting Information from Semi-Structured Web Data Sources

Shaker, Mahmoud; Ibrahim, Hamidah; Nurliyana, Lili

doi:10.5772/9629

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…• Transforming XML documents into ontology; Techniques of artificial intelligence are always adopted to discover knowledge from XML documents, such as pattern discovery [1], text mining [2], classify [3] [4], and fuzzy computing [5]. Those extracting sematic information are just a little part of meaning in XML documents, and are not enough to provide semantic web applications with ontology data.…”

Section: Imentioning

confidence: 99%

Derivation of OWL Ontology from XML Documents by Formal Semantic Modeling

Yang¹,

Wu²,

He³

et al. 2013

JCP

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The extensible markup language (XML), a standard format of web information, has a clear syntax but unfortunately an ambiguous formal semantics, which results in being not used directly in semantic web applications. So it is tough job to reuse XML-based data intelligently in the semantic web. To address this problem, a new formal technique of obtaining ontology data automatically from XML documents is proposed. We provide the XML a semantical interpretation by developing a graph-based formal language, which then can be automatically mapped into web ontology language OWL with semantics preserved. The semantic validity and entailment problem are also concerned. The automatical mapping tool has also been developed.

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Section: Imentioning

confidence: 99%

Derivation of OWL Ontology from XML Documents by Formal Semantic Modeling

Yang¹,

Wu²,

He³

et al. 2013

JCP

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show abstract

“…Unstructured data is data that does not have a formal structure and it does not mean the data is not displayed neatly but may be a way how establishing data / coding of the data is done in a way that is difficult to be implemented by computer, such as plain text. [5]. Unstructured data extraction is done to facilitate the use of these data for further processing, so that the results of this extraction can be combined with the other data.…”

Section: Introductionmentioning

confidence: 99%

Approach for Unwrapping the Unstructured to Structured Data the Case of Classified Ads in HTML Format

Banowosari¹,

Purnamasari²

2016

adv sci lett

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A Framework for Extracting Information from Semi-Structured Web Data Sources

Cited by 2 publications

References 11 publications

Derivation of OWL Ontology from XML Documents by Formal Semantic Modeling

Derivation of OWL Ontology from XML Documents by Formal Semantic Modeling

Approach for Unwrapping the Unstructured to Structured Data the Case of Classified Ads in HTML Format

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