miKrow presentation at ESWC2011
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Víctor PenelaGuillermo Álvaro Rey
Carlos RuizCarmen Córdoba
Francesco CarboneMichelangelo Castagnone
José Manuel Gómez-PérezJesús Contreras
miKrow:Semantic Intra-Enterprise Micro-Knowledge
Management System
June 1st, 2011 | Heraklion, Greece8th Extended Semantic Web Conference (ESWC 2011)
Agenda • The miKrow concept• The miKrow approach
– Semantic Indexing – Semantic Search
• miKrow enrichments– Linked Data consumption– ACTIVated miKrow– Contextual miKrow– User collaboration and feedback
• Evaluation / Summary
miKrow:Micro-Knowledge
Management
In a nutshell…
Semantic Intra-EnterpriseMicro-Knowledge Management System
Collaboration
Interoperability and Access to Information
Semantic Web
Web 3.0Enterprise 3.0
Web 1.0
-
-
+
+
Enterprise 3.0: Collaborative aspects of Web 2.0 + Semantic Technologies applied to the enterprise
Web 2.0Enterprise 2.0
Agenda • The miKrow concept• The miKrow approach
– Semantic Indexing – Semantic Search
• miKrow enrichments– Linked Data consumption– ACTIVated miKrow– Contextual miKrow– User collaboration and feedback
• Evaluation / Summary
The miKrow approach
We take something existing
Microblogging Engine
+
Semantic Engine
We add value here
Microblogging engine: Jaiku
Runs on Google App Engine
Semantic engine
Via REST API
Supported by domain ontologies
Using a semantic index
SemanticIndexing and Search
Performed for every micropost
messages +experts
Message Indexing
Expert Indexing
Message Search
• Morphological variations and ortographic corrections • Mapping to ontology terms + thesauri• Close terms in the ontology• Expanded query with original terms and
(weighted) related terms
Query built from user input by:
Expert Search
In Use… Before posting
In Use…
Related messages
New suggestions stream
Related experts
Terms found
Agenda • The miKrow concept• The miKrow approach
– Semantic Indexing – Semantic Search
• miKrow enrichments– Linked Data consumption– ACTIVated miKrow– Contextual miKrow– User collaboration and feedback
• Evaluation / Summary
Enriching the basic prototype
• Linked Data consumption
• ACTIVated miKrow
• Contextual miKrow
• User Collaboration and Feedback
Linked Data consumption
Linking Open Data cloud diagramby Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/
Entity recognition
It helps keeping knowledge base up to date…
Using a external service
Consuming Linked Data
In Use…
Linked Data Entity Recognition
ACTIVated miKrow
It helps tackling the cold-start problem…
• Working Context• Resource• Knowledge Process
ACTIVating miKrow
Using a external service
In Use…
Related working contexts, processes and resources…
In Use…
…connected to the ACTIVE system
Contextual miKrow
Context data(e.g., location)
Improving the index with contextual information
miKrow in context
Using a external service
In Use…
Location used as contextual information
User (I): Collaboration Spheres
Future Work!
Finding the ad-hoc relationships within the system
(Result from )
(Result from )
User (II): Feedback
Future Work!
Leveraging User Feedback to improve the suggestions
Ratings in a semantic format through API with LUF
Agenda • The miKrow concept• The miKrow approach
– Semantic Indexing – Semantic Search
• miKrow enrichments– Linked Data consumption– ACTIVated miKrow– Contextual miKrow– User collaboration and feedback
• Evaluation / Summary
Evaluation• In-house (iSOCO, SME ~100 people, 4 locations)• ACTIVated version (dummy ontology and examples)
• Microblogging has its own rules and syntax (no straight reuse of a knowledge model)• Microposts may have temporal relevance• User feedback to be considered• Explanations are important (show intelligence)
Summary
• miKrow = microblogging + KM• Intra-Enterprise (domain ontology)• Semantic index, ontology + thesauri queries• Simple approach + Extensions• Two prototypes• Future work: User Collaboration and Feedback
Easy to use Semantically powered
http://mikrow.isoco.net/aboutmikrow@isoco.com
Thanks!
Víctor PenelaGuillermo Álvaro ReyCarlos RuizCarmen CórdobaFrancesco CarboneMichelangelo CastagnoneJosé Manuel Gómez-PérezJesús Contreras
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