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Navigating the Structures of Everyday Life. Bruce R. Schatz CANIS Laboratory Graduate School of Library & Information Science University of Illinois at Urbana-Champaign schatz@uiuc.edu , www.canis.uiuc.edu. Graduate School of Informatics Kyoto University Kyoto, Japan June 30, 2003.
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Navigating the Structures of Everyday Life Bruce R. Schatz CANIS LaboratoryGraduate School of Library & Information ScienceUniversity of Illinois at Urbana-Champaign schatz@uiuc.edu , www.canis.uiuc.edu Graduate School of Informatics Kyoto University Kyoto, Japan June 30, 2003
Trends in the Net • Distributed Community Repositories • Traditional collection is large archive • Distributed Peer to Peer changes style • Special collections for small groups • Generic Knowledge Management • Traditional knowledge is narrow expert • Statistical Concept Switching changes style • Generic representation across collections
Social Metaphors Social Science used for Social Informatics • Psychology • Eleanor Rosch, Basic Categories • Chair vs Rocking Chair, Horse vs Farm Horse • Anthropology • George Murdock, HRAF (Human Relations Area Files) • Fundamental categories across many cultures • History • Fernand Braudel, Structures of Everyday Life • Details of ordinary people in fundamental activities
The Structures of Everyday Life • Bodies (individuals) • Food and Clothes • Buildings (groups) • Houses and Cities • Transportation (physical interactions) • Rails (trains) and Roads (cars) • Communication (logical interactions) • Phones (talking) and Computers (retrieving)
Global Cultural Memory • Enable Everyone to understand • How They Have Lived and • How They Will Live • The Structures of Everyday Life • recorded over space and time • correlated in a global information space • Appreciate the Past and Predict the Future
Evolutionary System Model • Getty project using commercial technology • Museum-style Web collection • curators to classify from big sources • Champaign County Historical information • county-level community repository • 5000 Historical Societies in US
Revolutionary System Model • A planet for every kid’s local environment • Federating the planets into a universe • Ordering all planets from kid’s POV • Flying through the Kids Universe • Finding similar kids from different POVs • Connecting historically through museums
Structures of Everyday Life • Group (via Rituals & Festivals) • Food, Clothes • Family, Home • Village (via Art & Beauty) • Healthcare, Government • Education, Memory • Nation (via Religion & Spirituality) • Transportation, Communication • Energy, Banking
A Scientific Experiment • Goals Digital Cultural Heritage via Universal Knowledge Representation • Results Inter-Generational Cross-Cultural Universals • Components Generations, Universals, Experiments
Experimental Methods • Generations • 9 years old - Elementary school students • 29 years old - Graduate school students • 49 years old - Professional Adults • Universals • 10 Fundamental Categories • 10 Detailed Categories • 10 Everyday Images • Experiments • 60 persons (3 generations, 2 countries, 10 each) • 1000 images per person (fundamental, detailed, each) • Compare Similarity across Generations & Countries • Answer Questions via Information Retrieval
Plan of Action • Subjects • Japan: Kyoto University, Shugakuin • America: University of Illinois, Urbana • Universals • Establish Categories from Braudel and Murdock • Collect Images via Digital Cameras • Experiments • Ask each Generation to judge other Generations • Ask each Country to judge other Countries • Develop Questions from Guidebooks • Baseline across Human Experts and Expert Systems