L/O/G/O

報告者：陳宜樺 報告日期： 2015/08/26

Research on Semantic Web MiningResearch on Semantic Web Mining

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Introduction

Web mining

Semantic Web

Semantic Web Mining Model4

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Introduction(1/2)Introduction(1/2)

since the majority of Web data is

unstructured, which lead to the traditional

data mining results will be unsatisfactory

Improve Web service levels and address the

existing Web services which is supported by

the lack of semantic problem

Introduction(2/2)Introduction(2/2)

Semantic-based Web data mining =Semantic Web + Web mining

Web mining Web mining

Extract interested, useful patterns and implicit information from theWWW resources and behavior

方 法

類 別

Web Mining Types : ContentWeb Mining Types : Content

Web Content Mining is a form of text mining

The primary Web resource that is being mined is

an individual page

Web content mining can take advantage of the

semi-structured nature of Web page text

Web content mining can be used to detect

co-occurrences of terms in texts

Web Mining Types : StructureWeb Mining Types : Structure

Usually operates on the hyperlink structure of Web

pages

The primary Web resource that is being mined is a set

of pages, ranging from a single Web site to the Web

as a whole

Exploits the additional information that is (often

implicitly) contained in the structure of hypertext.

Web Mining Types : UsageWeb Mining Types : Usage

The primary Web resource that is being mined is a

record of the requests made by visitors to a Web site,

most often collected in a Web server log.

It is useful to combine Web usage mining with

content and structure analysis in order to “make

sense” of observed frequent paths and the pages on

these paths

It is also used for static site improvement by

identifying navigational pattern of the user inside a

Website.

Semantic WebSemantic Web

that embed machine-readable, on behalf of certain types of knowledgemark in the Web message

Semantic Web Mining ModelSemantic Web Mining Model

建立初始本體( 取得核心概念 )

WSMO is a conceptual model for describing(SWS)s. It consists of four components, describing semantic aspects of (WS)s:

透過 Ontology Agent處理，整理新的資料數據

RDF clustering module實現本體的資料來源

將 RDF database 提供給Semantic web Mining module

再由 Ontology Agent過濾和處理群組，得出結果

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Thank You!Thank You!