This workshop will concentrate on various aspects of human-centered computing with particular emphasis on semantic methods for knowledge discovery and its further dissemination for increased innovativeness. Rogers and Shoemaker (1971) define innovativeness as “the degree to which an individual is relatively earlier in adopting an innovation than other members of his social system.” Hirschman (1980) extends the concept of innovativeness to two other categories—use innovativeness and vicarious innovativeness. The next generation computing should be about anticipatory users involvement that should be human-centered and based on human-based models.

Two main subjects areas of the workshop are:

Knowledge Discovery
Knowledge discovery is the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data (Fayyad et al., 1996). Therefore, it is worthwhile to apply human-centered computing in various domains to find out the useful knowledge.

Knowledge Communication
Semantic methods for knowledge communication (including natural languages) as well as human-machine interaction are necessary to ensure effective and proper communication of newly extracted knowledge to human-end users. Semantic methods in communication are also needed in applications and systems involving both human and artificial agents.

The list of workshop topics covers (but is not limited to):

General topics:
1. Innovativeness model for knowledge discovery
2. Cross-cultural exchanges and teaching opportunity
3. Grounded theory in knowledge discovery

Semantic methods for knowledge discovery:
4. Pattern identification and knowledge discovery
5. Discovery of teaching and learning opportunity
6. Text mining and trend detection

Semantic methods for knowledge communication:
7. Cultural elements in writing
8. Natural-language interfaces
9. Chance discovery

Application domains:
10. Curriculum development and design
11. Market opportunity
12. Technology opportunity
13. Semantic methods and patent analysis
14. Concept map and strategy analysis