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Mobile devices have very limited input/output
functionality |
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Mobile users face time-critical, goal-driven
tasks |
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Looking for a nearby gas station |
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Getting battlefield status updates |
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Mobile users are subject to more distractions |
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Driving through busy intersections |
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Talking to colleagues |
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Facing enemy fire |
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… All this argues for the development of context-aware
semantic web solutions |
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A collection of easily customizable,
context-sensitive agents |
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Capable of leveraging any Web service |
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…with the proper semantic markup… |
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Capable of leveraging contextual ontologies |
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Capable of eliciting, learning and re-using user
preferences to |
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Tailor outgoing requests (“pull”) and carry out
tasks in a (semi)autonomous manner |
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“Launch and forget” |
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Anticipate future user needs/filter incoming
information (“push”) |
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…and, above all, doing in so in a useful,
unobtrusive manner |
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Technology has to be invisible |
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Extend Semantic Web tools and ontologies in
support of: |
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Civilian mobile Internet scenarios: |
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Approaching 1 billion mobile phone users
worldwide |
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Ideal to promote the broad uptake of Semantic
Web technologies |
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In house expertise and ideal evaluation
environment – CMU’s campus |
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Campus as “everyday life microcosm” |
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Military mobile context-aware scenarios |
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DoD scenarios to be identified in the context of
the 2002 DAML Experiment |
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Campus-based Semantic Web demonstrator that
leverages CMU’s Wireless LAN and location-tracking technology |
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Ideal for rapid prototyping and early evaluation |
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Contextual attributes: Location, calendar
activities, weather, social context, etc. |
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Context-sensitive preferences |
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Work: |
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DAML-S service descriptions and editing tool (in
collaboration with others) |
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Specialized context-aware agents |
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Both push and pull functionality |
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Reusable rule-based preferences |
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2002 DAML Experiment |
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Extensions of DAML+OIL ontologies and DAML-S
service descriptions |
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Capturing contextual attributes |
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Capturing context-sensitive preferences |
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Mobile service descriptions and specialized
service editing & publishing tool(s) |
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Demonstration and evaluation of Semantic Web
context-aware applications on CMU’s campus |
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Contribution to 2002 DAML Experiment |
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e.g. Context-aware message filtering |
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Usability as the ultimate success criterion |
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How difficult/easy is it to edit and publish new services? |
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How difficult/easy is to customize the agents? |
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Are the ontologies capable of properly capturing
user preferences? |
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Are the resulting services actually helpful…or
are they just annoying? |
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Scalability |
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Ability to interface with new mobile Internet
services |
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Interactions with other DAML groups |
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DAML-S, rules, other relevant ontologies |
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Participation in DAML experiment |
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Notes