1. 第1åLODãã£ã¬ã³ã¸ãã¼ in å¤§éª 2011å¹´12æ3æ¥ï¼åï¼ Semantic  Web  Conferenceã«è¦ã Linked  Open  Dataã®å½éåå å¤å´ æå¸ å¤§éªå¤§å¦ç£æ¥ç§å¦ç 究æ 2011/12/03 第1åLODãã£ã¬ã³ã¸ãã¼inå¤§éª 1 2. èªå·±ç´¹ä»ï¼å¤å´æå¸ nï®â¯ ç¥æ´ nï®â¯ 2002年大éªå¤§å¦å¤§å¦é¢ãå·¥å¦ç 究ç§å士å¾æ課ç¨ãä¿®äº nï®â¯ å士è«æï¼ãã¼ã«ã»é¢ä¿æ¦å¿µçè«ã«åºã¥ããªã³ããã¸ã¼è¨è¿°ç°å¢ã®éçºã¨å©ç¨ã«é¢ããç 究 nï®â¯ ç 究å¡ï¼å©æãçµã¦ï¼2008å¹´ããï¼å¤§éªå¤§å¦ç£æ¥ç§å¦ç 究æãåææ nï®â¯ å°éåé nï®â¯ ãªã³ããã¸ã¼å·¥å¦ nï®â¯ 主ãªç 究ãã¼ã nï®â¯ ãªã³ããã¸ã¼å·¥å¦ã®åºç¤çè« nï®â¯ ãªã³ããã¸ã¼æ§ç¯ãã¼ã«ãæ³é ãã®éçº nï®â¯ å種é åã§ã®ãªã³ããã¸ã¼æ§ç¯ã»å¿ç¨ã·ã¹ãã éçº nï®â¯ ãªã³ããã¸ã¼æ§ç¯å©ç¨ç°å¢ãæ³é ããï¼
Kouji KOZAKI @koujikozaki Second International Workshop on Consuming Linked Data (COLD2011)@ISWC2011 æ稿æ°25ã§æ¡æçãï¼å²ãããï¼ çµæ§ï¼WSã«ãã¦ã¯ã¬ãã«ãé«ããï¼ 2011-10-23 16:10:35 Kouji KOZAKI @koujikozaki Keynote: Removing the Potholes in the Road to the Semantic Web ( Daniel P. Miranker, The University of Texas at Austin, USA) 2011-10-23 16:13:08
Second International Workshop on Consuming Linked Data (COLD2011) Abstract The quantity of published Linked Data is increasing dramatically. However, applications that consume Linked Data are not yet widespread. Current approaches lack methods for seamless integration of Linked Data from multiple sources, dynamic discovery of available data and data sources, provenance and information quality asse
Olaf Hartig @olafhartig #cold2011 Keynote: Dan Miranker (UT, Austin) about "Removing the Potholes in the Road to the Semantic Web" http://t.co/rsOBn426 #iswc2011 2011-10-18 14:30:41 Juan Sequeda @juansequeda RT @olafhartig: #cold2011 Keynote: Dan Miranker (UT, Austin) about "Removing the Potholes in the Road to the Semantic Web" http://t.co/rsOBn426 #iswc2011 2011-10-18 14:31:21
Which Linked Data facetted browsing functionality do we provide? Multiple classifications to an object, here a ISWC paper, enable paper classifications to be ordered in multiple ways, rather than in a single, predetermined, taxonomic order. With the help of these automatically generated facets, you can not only browse the papers of your colleagues/friends, but filter the relevant papers according
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