%0 Journal Article %J Applied Ontology %D 2014 %T Semantic Web and Big Data meets Applied Ontology - The Ontology Summit 2014 %A Leo Obrst %A Michael Grüninger %A Ken Baclawski %A Mike Bennett %A Dan Brickley %A Gary Berg-Cross %A Pascal Hitzler %A Krzysztof Janowicz %A Christine Kapp %A Oliver Kutz %A Christoph Lange %A Anatoly Levenchuk %A Francesca Quattri %A Alan Rector %A Todd Schneider %A Simon Spero %A Anne Thessen %A Marcela Vegetti %A Amanda Vizedom %A Andrea Westerinen %A Matthew West %A Peter Yim %B Applied Ontology %V 9 %P 155–170 %G eng %U http://dx.doi.org/10.3233/AO-140135 %R 10.3233/AO-140135 %0 Conference Paper %B Linked Data Meets Artificial Intelligence, Papers from the 2010 AAAI Spring Symposium %D 2010 %T Linked Data Is Merely More Data %A Prateek Jain %A Pascal Hitzler %A Peter Z. Yeh %A Kunal Verma %A Amit Sheth %E Dan Brickley %E Vinay K. Chaudhri %E Harry Halpin %E Deborah McGuinness %X

In this position paper, we argue that the Linked Open Data (LoD) Cloud, in its current form, is only of limited value for furthering the Semantic Web vision. Being merely a weakly linked “triple collection,” it will only be of very limited bene- fit for the AI or Semantic Web communities. We describe the corresponding problems with the LoD Cloud and give directions for research to remedy the situation.

%B Linked Data Meets Artificial Intelligence, Papers from the 2010 AAAI Spring Symposium %I AAAI %C Stanford, California, USA %G eng %U http://www.aaai.org/ocs/index.php/SSS/SSS10/paper/view/1130