Emphasizing explicit and implicit parallels and similarities between current development of Web and AI.
It seems nearly as distant as it was at the beginning of AI. SW mainstream promises given by TBL is how the Web may „reach its full potential“... by „giving well defined meaning to information, enabling computers and people to work in better cooperation“. This vision imlemented in KR, logic and ontologies is similar to the vision of AI Formalizing „common-sense“ by using FOL, Cyc... The first difference between SW and AI is that SW not pursuing „the human-level intelligence“, but rather the second fact... Machine intelligent behavior is not same as human intelligent behavior. Also, we can notice here the importance of thinking how to invove HCI into the sphere of social computing!
Reflection of AI to the LOD efforts, e.g. SW efforts are reviving of many of the claims that were given at the origins of AI. Linked Data and Artificial Intelligence, e.g. cognitive agents that exploit Linked Open Data; lightweight ontologies for specifying semantics in Linked Open Data; Ontology Design Patterns for Linked Open Data
LOD and sensors to help in human perception about the nature and green technologies
Linked AI LinkedDataCamp 2009, Vienna, Austria November 30 – December 01, 2009 Violeta Damjanovic Salzburg Research Forschungsgesellschaft m.b.H. Jakob Haringer Straße 5/3 | 5020 Salzburg, Austria T +43.662.2288-427 | F +43.662.2288-222 [email_address] www.salzburgresearch.at