semanticweb最新書籤
1170 天前 
分類：
標籤：
1260 天前 
語意網、詞網與知識本體：淺談未來網路上的知識運籌（上) 
語意網、詞網與知識本體：淺談未來網路上的知識運籌（上)
hjwu 收藏於 2008/12/17
編按：本文為「佛教知識組織管理研討會」專題演講稿。演講內容主要介紹語意網的概念與發展，其次從語意網的發展談到需要本體論，再由本體論談到外相，需要用語言來表達，以及論述語言如何表達知識。本文乃由本國家型計畫之語言座標計畫主持人黃居仁提供... ...
編按：本文為「佛教知識組織管理研討會」專題演講稿。演講內容主要介紹語意網的概念與發展，其次從語意網的發展談到需要本體論，再由本體論談到外相，需要用語言來表達，以及論述語言如何表達知識。本文乃由本國家型計畫之語言座標計畫主持人黃居仁提供...
分類：其他
標籤：語意網semanticweb
群組：圖資世界
1676 天前 
wiki.dbpedia.org : About
wiki.dbpedia.org : About
charlesc 收藏於 2007/10/28
DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia and to link other datasets on the Web to Wikipedia data.
from http://dbpedia.org/
- 分類：web2.0
- 標籤：wikipediasemanticweb
1721 天前 
Redland RDF Libraries
Redland RDF Libraries
Night 收藏於 2007/09/13
Redland is a set of free software libraries that provide support for the Resource Description Framework (RDF).
A set of free software libraries that provide support for the Resource Description Framework (RDF). Language Binding... ...
A set of free software libraries that provide support for the Resource Description Framework (RDF).
Language Binding...
- 分類：其他
- 標籤：semanticwebsdkrdf
ROCLING-2005.pdf (application/pdf 物件)
ROCLING-2005.pdf (application/pdf 物件)
Night 收藏於 2007/09/13
Web Information Extraction for the Creation of Metadata in
Semantic Web
Web Information Extraction for the Creation of Metadata in Semantic Web ...
Web Information Extraction for the Creation of Metadata in
Semantic Web
- 分類：其他
- 標籤：semanticweb中文資訊處理
1738 天前 
分類：
標籤：
1740 天前 
1815 天前 
ProtegeWiki: Wiki Home Page
ProtegeWiki: Wiki Home Page
Night 收藏於 2007/06/10
Protege Community of Practice (CoP) is a community of users, researchers, and developers who are using the Protege ontology-development environment.
Protege Wiki Home ...
Protege Wiki Home
1908 天前 
Freebase : Sign In 
Freebase : Sign In
charlesc 收藏於 2007/03/10
It's about film, sports, politics, music, science and everything else all connected together. Our contributors are collecting data from all over the internet to build a massive, collaboratively-edited database of cross-linked data. Its a big job and we're just getting started.
3470 天前 
訂閱