Tomáš Obšívač 11/2010
DTEDI
Topic: Web for robots and human society.
Big Picture
Big Picture | Semantic Web | Social Web | My work
 Intl. Information Infrastructure
→ World Wide Web
→ Giant Global Graph
 Sir Tim Berners-Lee (2007)
 http://dig.csail.mit.edu/breadcrumbs/node/215
 GGG
 ~ Semantic Web
• W3C
 And Social Web?
• Sociology ~ Social Media
 Methods and technologies to allow machines to
understand the meaning of information on the Web.
 Questionable feasibility of W3C approach; microformats
 Common framework that allows data to be shared and
reused across applications.
 Documents such as HTML page are readable by humans. Data
are readable by machines.
 Autonomous agents, metadata, relations
 smarter than common web browsers or thermostat ;-)
 RDF, ontologies, SPARQL, reasoning, …
 Where are the people? And social dynamics?
Semantic Web
Big Picture | Semantic Web | Social Web | My work
 DBpedia
 A community effort to extract structured information from
Wikipedia.
 One of Linked Open Data's datasets
 Friend of a Friend
 FooF describe persons, their activities and
their relations to other people and objects.
Examples
Big Picture | Semantic Web | Social Web | My work
 Media = channel or tool to deliver data.
 One-to-one, one-to-many (mass media), many-to-many
 User-generated content
 Prosumer (A. Toffler, 1980, M. McLuhan 1972)
 E.g. player generated content (common in RPG)
 Value given by not so many to many
• Participation inequality (aka 90–9–1 rule),
e.g. Wikipedia: 99.8–0.2–0.003
J. Nielsen: http://www.useit.com/alertbox/participation_inequality.html
• Membership Lifecycle (Amy Jo Kim, 2000)
Web as a Kind of Social Media
Big Picture | Semantic Web | Social Web | My work
 Information Retrieval: Access Rights in Enterprise Full-text Search
 Kasprzak, J. - Brandejs, M. - Čuhel, M. - Obšívač, T. In ICEIS 2010: Proceedings of the 12th International
Conference on Enterprise Information Systems, Volume 1: Databases and Information Systems Integration.
2010. vyd. Funchal, Portugal : INSTICC – Institute for Systems and Technologies of Information, Control
and Communication, 2010. od s. 32-39, 8 s. ISBN 978-989-8425-04-1.
 → So-called virtual tokens are suitable for social metadata too
 Data mining & e-learning
 CELDA 2009, Rome: Advantages of Versatile E-learning Tools
 ECEL 2010, Porto: Towards text mining in technology-enhanced learning
Papers
Big Picture | Semantic Web | Social Web | My Work
 Social software and user attributes identification
 Identity, Reputation, Presence, Relationships, Groups,
Conversations, Sharing, Participation inequality, …
 Critical Mass, Network Effect and other sociodynamics terms
• Roots of Net's and Web's Success (?)
 Described by informatics terms
 Mainly from graph theory: node centrality, topology, bridge, reach, …
 Data Warehouse for Data Mining & Social Network Analysis
 Which metrics we are in need to store for aforementioned?
 Data which hlep us to understand what is happening “at the
bottom” of MU (and IS MU).
TODO
Big Picture | Semantic Web | Social Web | My Work
 Let's network. :-)
 http://cz.linkedin.com/in/obsivac
 https://is.muni.cz/osoba/obsivac
 http://twitter.com/obsivac
 …
 Wikinomics Forum 2010, sobota 4. 12., UISK FF UK
• wikinomie.cz
T. O.
Big Picture | Semantic Web | Social Web | My Work
 Knowledge sharing
 Crowdsourcing (J. Howe, Wired Mag, 2006)
 Outsourcing tasks to community
 The Wisdom of Crowds (J. Surowiecki, 2004)
 Network society (M. Castells, since 1996)
 Step further from information (aka postindustrial) society
 Attention Economy, Economy of Free, Link
Economy, Wikinomics
How web influenced society?
Big Picture | Semantic Web | Social Web | My work