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Víctor Penela Guillermo Álvaro Rey Carlos Ruiz Carmen Córdoba Francesco Carbone Michelangelo Castagnone José Manuel Gómez-Pérez Jesús Contreras miKrow: Semantic Intra-Enterprise Micro-Knowledge Management System June 1st, 2011 | Heraklion, Greece 8th Extended Semantic Web Conference (ESWC 2011)

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Agenda <ul><li>The miKrow concept </li></ul><ul><li>The miKrow approach </li></ul><ul><ul><li>Semantic Indexing </li></ul></ul><ul><ul><li>Semantic Search </li></ul></ul><ul><li>miKrow enrichments </li></ul><ul><ul><li>Linked Data consumption </li></ul></ul><ul><ul><li>ACTIVated miKrow </li></ul></ul><ul><ul><li>Contextual miKrow </li></ul></ul><ul><ul><li>User collaboration and feedback </li></ul></ul><ul><li>Evaluation / Summary </li></ul>

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miKrow: Micro-Knowledge Management In a nutshell… Semantic Intra-Enterprise Micro-Knowledge Management System

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Collaboration Interoperability and Access to Information Semantic Web Web 3.0 Enterprise 3.0 Web 1.0 - - + + Enterprise 3.0: Collaborative aspects of Web 2.0 + Semantic Technologies applied to the enterprise Web 2.0 Enterprise 2.0

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Agenda <ul><li>The miKrow concept </li></ul><ul><li>The miKrow approach </li></ul><ul><ul><li>Semantic Indexing </li></ul></ul><ul><ul><li>Semantic Search </li></ul></ul><ul><li>miKrow enrichments </li></ul><ul><ul><li>Linked Data consumption </li></ul></ul><ul><ul><li>ACTIVated miKrow </li></ul></ul><ul><ul><li>Contextual miKrow </li></ul></ul><ul><ul><li>User collaboration and feedback </li></ul></ul><ul><li>Evaluation / Summary </li></ul>

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The miKrow approach We take something existing Microblogging Engine + Semantic Engine We add value here

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Microblogging engine: Jaiku Runs on Google App Engine

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Semantic engine Via REST API Supported by domain ontologies Using a semantic index

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Semantic Indexing and Search Performed for every micropost messages + experts

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Message Indexing

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Expert Indexing

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Message Search <ul><li>Morphological variations and ortographic corrections </li></ul><ul><li>Mapping to ontology terms + thesauri </li></ul><ul><li>Close terms in the ontology </li></ul><ul><li>Expanded query with original terms and (weighted) related terms </li></ul>Query built from user input by:

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Expert Search

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In Use… Before posting

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In Use… Related messages New suggestions stream Related experts Terms found

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Agenda <ul><li>The miKrow concept </li></ul><ul><li>The miKrow approach </li></ul><ul><ul><li>Semantic Indexing </li></ul></ul><ul><ul><li>Semantic Search </li></ul></ul><ul><li>miKrow enrichments </li></ul><ul><ul><li>Linked Data consumption </li></ul></ul><ul><ul><li>ACTIVated miKrow </li></ul></ul><ul><ul><li>Contextual miKrow </li></ul></ul><ul><ul><li>User collaboration and feedback </li></ul></ul><ul><li>Evaluation / Summary </li></ul>

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Enriching the basic prototype <ul><li>Linked Data consumption </li></ul><ul><li>ACTIVated miKrow </li></ul><ul><li>Contextual miKrow </li></ul><ul><li>User Collaboration and Feedback </li></ul>

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Linked Data consumption Linking Open Data cloud diagram by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/ Entity recognition It helps keeping knowledge base up to date…

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Using a external service Consuming Linked Data

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In Use… Linked Data Entity Recognition

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ACTIVated miKrow It helps tackling the cold-start problem… <ul><li>Working Context </li></ul><ul><li>Resource </li></ul><ul><li>Knowledge Process </li></ul>

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ACTIVating miKrow Using a external service

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In Use… Related working contexts, processes and resources…

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In Use… … connected to the ACTIVE system

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Contextual miKrow Context data (e.g., location) Improving the index with contextual information

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miKrow in context Using a external service

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In Use… Location used as contextual information

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User (I): Collaboration Spheres Future Work! Finding the ad-hoc relationships within the system (Result from )

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(Result from ) User (II): Feedback Future Work! Leveraging User Feedback to improve the suggestions Ratings in a semantic format through API with LUF

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Agenda <ul><li>The miKrow concept </li></ul><ul><li>The miKrow approach </li></ul><ul><ul><li>Semantic Indexing </li></ul></ul><ul><ul><li>Semantic Search </li></ul></ul><ul><li>miKrow enrichments </li></ul><ul><ul><li>Linked Data consumption </li></ul></ul><ul><ul><li>ACTIVated miKrow </li></ul></ul><ul><ul><li>Contextual miKrow </li></ul></ul><ul><ul><li>User collaboration and feedback </li></ul></ul><ul><li>Evaluation / Summary </li></ul>

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Evaluation <ul><li>In-house (iSOCO, SME ~100 people, 4 locations) </li></ul><ul><li>ACTIVated version (dummy ontology and examples) </li></ul><ul><li>Microblogging has its own rules and syntax (no straight reuse of a knowledge model) </li></ul><ul><li>Microposts may have temporal relevance </li></ul><ul><li>User feedback to be considered </li></ul><ul><li>Explanations are important (show intelligence ) </li></ul>

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Summary <ul><li>miKrow = microblogging + KM </li></ul><ul><li>Intra-Enterprise (domain ontology) </li></ul><ul><li>Semantic index, ontology + thesauri queries </li></ul><ul><li>Simple approach + Extensions </li></ul><ul><li>Two prototypes </li></ul><ul><li>Future work: User Collaboration and Feedback </li></ul>Easy to use Semantically powered

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http://mikrow.isoco.net/about [email_address] Thanks! Víctor Penela Guillermo Álvaro Rey Carlos Ruiz Carmen Córdoba Francesco Carbone Michelangelo Castagnone José Manuel Gómez-Pérez Jesús Contreras