Semantic Web 2.0: Creating Social Semantic Information Spaces
1. Semantic Web 2.0: Creating Social Semantic Information Spaces John Breslin, Stefan Decker {john.breslin, stefan.decker}@deri.org http://sw.deri.org/~jbreslin/ http://www.stefandecker.org/ WWW2006 Tutorial Edinburgh, 26 th May 2006
2. 0. Overview of this tutorial Semantic Web 2.0: Creating Social Semantic Information Spaces
3.
4.
5.
6.
7.
8.
9.
10. 1. State of the Art in Semantic Web Semantic Web 2.0: Creating Social Semantic Information Spaces
11.
12. Where are we in the “Semantic Web layer cake”? You Are Here!
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.
24.
25.
26. 2. The Path Ahead for Social Semantic Information Spaces Semantic Web 2.0: Creating Social Semantic Information Spaces
27.
28.
29.
30. From Web 1.0 to 2.0 (updated from O’Reilly) Tagging, Folksonomies Directories, Taxonomies Knowledge Syndication Stickiness Referencing BitTorrent, P2P Akamai Content Upcoming.org Evite Events Wikipedia Britannica Online Encyclopedi æ Skype, Asterisk Netmeeting Talk Google Services, AJAX, Flock Netscape, Internet Explorer Platforms Wikis Content Management Systems Portals Blogs Personal Websites Web Pages Web 2.0 Web 1.0
36. From Web 1.0 to Semantic Web 2.0 Semantic Social Networks Online Social Networks Buddy Lists, Address Books Semantic Social Information Spaces … … Semantic Digital Libraries Google Scholar, Book Search CiteSeer, Project Gutenberg Semantic Forums and Community Portals Community Portals Message Boards Semantic Blogs Blogs Personal Websites Semantic Search Google Personalised, DumbFind Altavista, Google Semantic Wikis Wikis Content Management Systems Semantic Web 2.0 Web 2.0 Web 1.0
65. Releasing your data to the Web scenario Ina John Ina‘s Computer John‘s Computer Blog Post Blog Post Blog Post Blog Post Metadata Metadata Metadata writes Post annotates Post publishes Post reads Post imports metadata Web
66.
67.
68.
69.
70. Creating a semantic blog post with semiBlog Annotating a blog entry with an address book entry. < foaf:Person rdf:ID="andreas"> < foaf:homepage > http://sw.bla.org/~aharth/</ foaf:homepage > < foaf:surname >Harth</ foaf:surname > < foaf:firstName >Andreas</ foaf:firstName > <!-- ... more properties ... --> < rdf:value >Andreas Harth</ rdf:value > </ foaf:Person >
94. Platypus semantic wiki A page per resource Current resource as object Current resource as subject Metadata is explicitly added separately from the text content (using N3 or RDF/XML)
114. Step 1: Getting started (Scenario by Stephen J. Garland & Mick Bass) 3 OCW courses Let’s start by clicking here Facets for browsing 787 OCW resources 2384 ARTstor resources
115. Step 2: Exploring one collection Let’s click to focus on an early abstract artist 137 images on island
116. Step 3: Pausing to think Narrow focus raises questions: What else did Gorky do? Who was doing similar work? Let’s click to find out more about Gorky by removing a restriction
117. Step 4: Redirecting the search Two islands in view now, linked by Gorky bridge Let’s click to cross bridge
147. 8. Realising the Memex and NLS: From the Desktop and Web to Social Semantic Information Spaces Semantic Web 2.0: Creating Social Semantic Information Spaces
148.
149.
150. Reali sing social semantic information spaces: The f irst s ociety- s cale s emantic w eb a pplication Ontology-Driven Distributed Social Networking Ontology-Driven Social Networking Semantic Desktop Social Semantic Information Spaces P2P Networks Semantic Web Semantic P2P Social Networking Phase 1 Phase 2 Phase 3 Memex (Vannevar Bush) A memex is “a device in which an individual stores all his books, records, and communications.” Open Hypertext System (Doug Engelbart) “The open hyperdocument system (OHS) is a standards-based, open source framework for developing collaborative, knowledge management applications.” WWW (Tim Berners-Lee) “There was a second part of the dream […] we could then use computers to help us analyse it, make sense of what we re doing, where we individually fit in, and how we can better work together.” Today necessary technologies & communities exist: Standardised metadata: Semantic Web Scalable distributed infrastructure: P2P Computing Knowledge articulation and interaction: Desktop Technology Processing of unstructured and legacy information: NLP Human centric information exchange: Online Social Networks Driven by today's needs, in the spirit of seminal visions Challenge: Extension & merging of research streams NLP Desktop / Web Inspired by sociological perspectives: On group forming: Viral c ommunication (Reed) On innovative IT-based interaction and feedback: Social translucent systems (Erickson and Kellogg) Smart Mobs (Rheingold) On network modeling and algorithms: Social network research Small world properties Power law distribution (Barabasi and Huberman) Link-based authority algorithms, recommender algorithms (Perugini)