Profiling information sources and services for discovery Mathieu d’Aquin - @mdaquin Insight Centre - NUI Galway
Profiling information sources and services for discoveryMathieu d’Aquin - @mdaquinInsight Centre - NUI Galway
Let’s start with a quote
“access billions of heterogeneous data sources, stored or real-time, locally or globally, from personal and public terminals, mobile, wearable, Internet of Things, and cyber-physical systems [...] present relevant information services in a meaningful and personalised way”
-- Fahim Kawsar, Christophe Diot, Carles Sierra and Nozha Boujemaa, Discovery & Identification Technologies for the Next Generation Internet
Let’s start with a quote
“access billions of heterogeneous data sources, stored or real-time, locally or globally, from personal and public terminals, mobile, wearable, Internet of Things, and cyber-physical systems [...] present relevant information services in a meaningful and personalised way”
-- Fahim Kawsar, Christophe Diot, Carles Sierra and Nozha Boujemaa, Discovery & Identification Technologies for the Next Generation Internet
More concretely: A scenario
Let’s think about an autonomous, physical mobile agents, a robot, coming into a new environment (building, city, organisation, event) where data sources are available:
1. How does it find the data sources relevant to its task?
2. How does it use the data sources relevant to its task?
3. How does it contribute to data sources relevant to its task?
Metadata and content
Discovery currently handled through data cataloguing.
Should focus on the content of data: In which context is it valid, and what can be done with it?
Example: What question can it answer?
Example: What question can it answer?
Service code
Area
Restaurant
Organisation
isa
population
deprivation
locatedIn
rating
employee
The population of Walnut Tree is 4096
What is the population of Walnut Tree?
Example: How good is it? Does it fit what I know?
Consensus(agreement)
Controversy
Disagreement (negative consensus)
Example: Do I actually have the right to use it?
Conclusion
With information sources expanding in all directions, we need mechanisms by which their consumption and use can emerge dynamically through autonomous agents being able to make sense of new data spaces.
Requires profiling which is based on the “meta-analysis” of data, to extract:
- Scope, validity (in time, space, rights, etc.)- Competence, inter-relatedness- Views, biases, quality issues- Exploitability
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