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What does it mean to be semantic? On the effective use of semantics in the Semantic Web
Published on 2013-07-194680 Views
Twelve years after the publication of the seminal article by Tim Berners-Lee, James Hendler and Ora Lassila, which expounded the vision of a Semantic Web characterised by dynamic and large scale agent
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Presentation
What does it mean to be semantic?00:00
Main objective of the talk03:13
Motivation04:41
The SW as a teenager: time to reflect04:51
The original vision06:44
Where are all the intelligent agents?08:11
What’s the big deal?09:00
Rexplore - 109:35
Rexplore - 210:16
EventMediaLive –2012 SW Challenge Winner11:01
David Karger’spost about ISWC 201311:56
There is more to a SW app than triple stores…13:31
Semantic Web Challenge14:07
Discussing Rexplorewith Jim Hendler - 114:51
Discussing Rexplorewith Jim Hendler - 215:29
Discussing Rexplorewith Jim Hendler - 315:51
Discussing Rexplorewith Jim Hendler - 416:13
Bottom Line16:36
Disclaimer/Caveat #117:01
Disclaimer/Caveat #217:16
Disclaimer/Caveat #317:51
Frank’s talk at ISWC 201118:43
Knowledge-Based System Perspective19:19
Knowledge Representation Hypothesis in AI21:35
Task-centric view of Symbolic Intelligent Systems22:27
Criteria for recognising intelligent knowledge-based systems23:08
Intelligent Semantic Web Systems (?) - 124:01
Intelligent Semantic Web Systems (?) - 224:33
Key postulates26:01
Toward a New Generation27:29
Knowledge Engineering in the age of the SW27:59
Features of NGSW Systems (vs Classic KBS)28:36
Major shift in the type of reasoning29:22
Watson: A Gateway to the Semantic Web30:40
Watson-based Applications31:08
Folksonomy Tagspace Enrichment31:15
Using the SW as a source of background knowledge for Ontology Alignment31:34
Strategy31:44
Ontology Evolution using Background Knowledge32:33
Relation Discovery Examples32:41
NGSW Applications32:58
Rexplore - 334:41
Motivations for Rexplore35:42
Limitations of existing tools (lack of semantics!)37:05
My own page40:36
Semantic Analysis42:01
Identifying and linking research topics with Klink42:42
About 1500 topics45:06
ACM and other similar classifications45:53
Visualizing research trajectories46:43
Shared Research Trajectories47:28
Comparing publication trends48:42
Semantics as analytical engine49:13
Graphicon50:49
A different class of SW applications51:08
Carla Bruni51:43
Conclusions54:41