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The 5th International Semantic Web Conference

Where the Social Web Meets the Semantic Web

author: Tom Gruber

Description

The Semantic Web is an ecosystem of interaction among computer systems. The social web is an ecosystem of conversation among people. Both are enabled by conventions for layered services and data exchange. Both are driven by human-generated content and made scalable by machine-readable data. Yet there is a popular misconception that the two worlds are alternative, opposing ideologies about how the web ought to be. Folksonomy vs. ontology. Practical vs. formalistic. Humans vs. machines. This is nonsense, and it is time to embrace a unified view. I subscribe to the vision of the Semantic Web as a substrate for collective intelligence. The best shot we have of collective intelligence in our lifetimes is large, distributed human-computer systems. The best way to get there is to harness the "people power" of the Web with the techniques of the Semantic Web. In this presentation I will show several ways that this can be, and is, happening.

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Slides
0:00 Where the Social Web Meets the Semantic Web
1:31 Where the Social Web Meets the Semantic Web
3:20 Doug Engelbart, 1968
4:37 Tim Berners-Lee, 2001
5:15 Tim O’Reilly, 2006, on Web 2.0
6:39 Web 2.0 is about The Social Web
8:15 Tim Berners-Lee, 5 days ago
9:10 But what is “collective intelligence” in the social web sense?
10:13 the wisdom of clouds?
10:45 “Collective Knowledge” Systems
11:30 Collective Knowledge is Real
13:02 What about the Semantic Web?
13:16 Roles for Technology
14:01 Potential Roles for Semantic Net Technology: Two examples
14:50 “Ontology is overrated.” -- Clay Shirky
15:49 But...
16:53 Ontology of Folksonomy
18:48 Example: formal match, semantic mismatch
19:39 Engineering the tag ontology
20:29 Core concepts
20:56 Issues raised by ontological engineering
23:33 Volunteers Needed ?
24:55 Role 2: Creating aggregate value from structured data
26:15 Role 2: Creating aggregate value from structured data
26:30 Example: Collective Knowledge about Travel
27:07 TITLE
27:36 Pivot Browsing – surfing unstructured content along structured lines
29:40 Destination data is the backbone
31:29 TITLE
31:42 TITLE
31:56 Contextual Tagging
33:25 TITLE
33:53 TITLE
34:38 Problems that Semantic Web could have helped
37:17 Resources That Did Help
38:05 (Semantic Web) projects that could help collective knowledge systems
42:08 Activities already going
42:28 What will the future look like?

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