NDLI: Abstract Study of Design Issues on an Automated Semantic Annotation System

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Abstract Study of Design Issues on an Automated Semantic Annotation System

Content Provider	CiteSeerX
Author	Ding, Yihong
Abstract	The semantic annotation process turns ordinary HTML web pages into machine-understandable semantic web pages. We have proposed a semantic annotation system to automate annotation of web pages by ontologies. In this paper, we present a study of five design issues on this system, which include: (1) the covering of web pages; (2) the general paradigm of annotation process; (3) the measurements of annotation performance; (4) the compatibility to semantic web standards; and (5) the resolution for lack of ontologies. To address these issues, our proposed system intends to automate annotation for data-rich web pages; simply the annotation process and improve the degree of automation by adapting the ontology-based data recognizer; measure to obtain accurate annotations, to run fast, and to be resilient to page layouts through a two-layer annotation process; be compatible to the semantic web standards by using OWL ontologies; and benefit an interactive ontology creation process by automatically choosing relevant ontology components according to an annotation task from an ontology knowledge base. 1.
File Format	PDF
Access Restriction	Open
Subject Keyword	Design Issue Abstract Study Automated Semantic Annotation System Web Page Annotation Process Semantic Web Standard Machine-understandable Semantic Web Page Semantic Annotation Process Two-layer Annotation Process Interactive Ontology Creation Process Data-rich Web Page Accurate Annotation Annotation Task Ontology Knowledge Base Relevant Ontology Component Ontology-based Data Recognizer Ordinary Html Web Page Annotation Performance Owl Ontology General Paradigm Semantic Annotation System
Content Type	Text

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