Presentation is loading. Please wait.

Presentation is loading. Please wait.

L/O/G/O 報告者:陳宜樺 報告日期: 2015/08/26 Research on Semantic Web Mining.

Similar presentations


Presentation on theme: "L/O/G/O 報告者:陳宜樺 報告日期: 2015/08/26 Research on Semantic Web Mining."— Presentation transcript:

1 L/O/G/O 報告者:陳宜樺 報告日期: 2015/08/26 Research on Semantic Web Mining

2 outline Introduction Web mining Semantic Web Semantic Web Mining Model 4 1 2 3

3 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

4 Introduction(2/2)  Semantic-based Web data mining =Semantic Web + Web mining

5 Web mining Extract interested, useful patterns and implicit information from the WWW resources and behavior 方 法方 法 類 別

6 Web 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

7 Web 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.

8 Web 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.

9 Semantic Web that embed machine-readable, on behalf of certain types of knowledge mark in the Web message

10 Semantic 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

11 L/O/G/O Thank You!


Download ppt "L/O/G/O 報告者:陳宜樺 報告日期: 2015/08/26 Research on Semantic Web Mining."

Similar presentations


Ads by Google