1. Contextual Intelligence: Scalability Issues in Personal Semantic Networks Oliver Brdiczka

2. Contextual Intelligence 85-95% of digital content is human readable but “unstructured” = untyped, untagged, ambiguous to a computer Context disambiguates meaning –Context helps interpret words in a sentence, just as it helps interpret information in situations Content and context analytics convert the ocean of unstructured information, into a Personal Semantic Network

3. Information and people always linked to each other thru context Information self-organizes for faster, everywhere retrieval New Context-Enabled Applications Sensed Activity/Task Location Proximity to other devices People Inferred from activity Author Task, activity Relation to other documents Relation to people Explicit Social tagging Comments Bookmarks Extracted from content Topic Author Document type People, places, and things Key concepts Project Shared Images People Content Tasks Events Places Topics Contextual Intelligence: Harness Content and Context

4. Challenges Silos of Information Relevance Latency Bootstrapping and Longevity Reasoning Intelligence Human-Human Interaction / Sharing Interfacing PARC | 4