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Semantic-Synaptic Web Mining: A Novel Model for Improving the Web Mining 報告者:陳宜樺 報告日期:2015/9/25.

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Presentation on theme: "Semantic-Synaptic Web Mining: A Novel Model for Improving the Web Mining 報告者:陳宜樺 報告日期:2015/9/25."— Presentation transcript:

1 Semantic-Synaptic Web Mining: A Novel Model for Improving the Web Mining
報告者:陳宜樺 報告日期:2015/9/25

2 outline Introduction Semantic web Synaptic web Entropy
Semantic-Synaptic web mining architecture

3 Introduction The enormous amount of unstructured information available on the web, results in inaccuracy and irrelevant information while user extract desired information from the web 大量的非結構化資訊可在網路上取得,當使用者要從網路上截取他們需要的資訊,造成不正確和不相關的資訊 為了解決此問題,所已提出這篇paper ,利用三種技術來改善當搜尋資料時多又不精確,導致找到不相關又浪費時間的困境

4 Semantic web Semantic web, a technique to manage content and process with creation and use of semantic metadata 主要管理內容和處理,同時也創作和使用語意資料相關聯的技術

5 Synaptic web Synaptic web, it is the connection between different neurons in the brain the synaptic connections between objects (Content/ Information) are more important than the object themselves makes the smarter web. Synaptic web 是一種生物學的術語,就像大腦的不同神經元相互連結, 重點不是內容或資訊,主要是每個資料中相關聯的結果

6 Entropy(1/2) Information Theory
Entropy(熵),is a measurement of uncertainty and inconsistency in random variable, which evaluate the information content in a message. Mostly, the information content is the uncertainty of each event. 熵是種熱力學的概念,主要用來測量不確定性和隨機多變的方法,未知的消息越多不確定性越大,熵也就越大 當對問題越不清楚,所要搜尋的資料也就越多

7 Entropy(2/2) Semantic-Synaptic Web Noisy-Unorganized Web
Semantic-Unorganized Web Noisy-Synaptic Web 最具有效率且相關而有效率的資訊 多數內容非結構化且不相關需要用關鍵字索引或搜尋無組織的網站 內容是有結構的但相對的連結出許多複雜且沒組織 像部落格 內容不相關且非結構化,但網站是有標籤且有過濾過值得推薦的資料

8 Semantic-Synaptic web mining architecture
the nodes are to be distributed at a hierarchical range of entropy which results in relevant and accurate data 主要節點具有分散在每個層級的 在整理過後的少量資訊,每個結果具有相互關聯且相關且準確的

9 Thank You!


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