Linked Data-Driven Smart Spaces

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1 Oscar Rodriguez Rocha Cristhian Figueroa Iacopo Vagliano Boris Moltchanov Linked Data-Driven Smart Spaces

description

RUsmart 2014 Presentation

Transcript of Linked Data-Driven Smart Spaces

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Oscar Rodriguez RochaCristhian FigueroaIacopo Vagliano

Boris Moltchanov

Linked Data-Driven Smart Spaces

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Outline

1. Introduction

2. Reference platform and use case

3. Evaluation

4. Conclusion

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Linked Data Cloud

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Context

● Information about Smart Space components in Linked Data Cloud

● Increasing number of mobile devices and their capabilities

● Improvements in content generation on-the-go (mobile UGC)

● Critical to provide to end user right information in the right moment

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Aims

1. Linked Data based approach for

a) Enabling interactions among Smart Space components

b) Enabling interactions Smart Space component – end user

c) Retrieving and enriching information about Smart Space components

2. Practical application of the approach

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Architecture

RecommenderSystem

UGCManager

SemanticAnnotator

Reference platform

DBpedia

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Linked Data-Driven Recommender Systems

● Suggest items to users

– Linked Data-based similarity– Three types

● Hierarchical● Transversal● Hybrid

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Recommendation Algorithm

Ranked set of items (classified by categories)

Item (URI)

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Recommendation Algorithm

CategoryExtraction

Ranked set of items (classified by categories)

Item (URI)

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Recommendation Algorithm

CategoryExtraction

SubcategoryExtraction

Ranked set of items (classified by categories)

Item (URI)

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Recommendation Algorithm

CategoryExtraction

SubcategoryExtraction

ItemExtraction

Ranked set of items (classified by categories)

Item (URI)

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Recommendation Algorithm

CategoryExtraction

SubcategoryExtraction

Item Extraction

Item -category Mapping

Ranked set of items (classified by categories)

Item (URI)

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Recommendation Algorithm

CategoryExtraction

SubcategoryExtraction

Item Extraction

Item -category Mapping

TransversalSimilarity

Calculation

Ranked set of items (classified by categories)

Item (URI)

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Recommendation Algorithm

CategoryExtraction

SubcategoryExtraction

Item Extraction

Item -category Mapping

TransversalSimilarity

Calculation

Categorizationand

Ranking

Ranked set of items (classified by categories)

Item (URI)

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Use Case

Peter and Paul fortress

Hermitage Museum

St. Isaac's Cathedral

St. Petersburg Smart Space

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Use Case

Peter and Paul fortress

Hermitage Museum

St. Isaac's Cathedral

St. Petersburg Smart Space

DBpedia information +

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Use Case

Peter and Paul fortress

Hermitage Museum

St. Isaac's Cathedral

St. Petersburg Smart Space

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Execution Time

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Candidate Items

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Conclusion

1. Linked Data based approach to manage Smart Space components information

2. Enrich information about Smart Space components

3. eToursim use case implemented with Telecom Italia

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большое спасибо

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Future Works

● Accuracy evaluation ● Integration of FI-WARE Context Management

GE (context broker)● Addition of smart space components in Linked

Data cloud● Additional use cases (museum)

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Accuracy Evaluation

● Goal

– Method to use– Recommender system to use for comparison

● Method

– Systematic review– 69 papers included

● Result

– User studies most used

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Semantic Annotator

Text

ProcessorSemantic

Broker Resolvers

SemanticFilterAggragator

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UGC Manager

RESTAPI

SPARQLEndpoint

SQL

RDF