Contextual Intelligence: Scalability Issues in Personal Semantic NetworksOliver Brdiczka

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

People

Content

Tasks

Events Places

Topics

email

web

plain text

images

audio

office documents

video

social

Information andpeople alwayslinked to each

other thrucontext

Informationself-organizes

for faster, everywhere

retrieval

New Context-EnabledApplications

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

PeoplePeople

ContentContent

TasksTasks

EventsEvents PlacesPlaces

TopicsTopics

Contextual Intelligence: Harness Content and Context

Challenges

• Silos of Information• Relevance• Latency• Bootstrapping and Longevity• Reasoning Intelligence• Human-Human Interaction / Sharing • Interfacing

PARC | 4

People

Content

Tasks

Events Places

Topics People

Content

Tasks

Events Places

Topics