linked data-driven smart spaces

Post on 05-Dec-2014

202 Views

Category:

Software

1 Downloads

Preview:

Click to see full reader

DESCRIPTION

RUsmart 2014 Presentation

TRANSCRIPT

1

Oscar Rodriguez RochaCristhian FigueroaIacopo Vagliano

Boris Moltchanov

Linked Data-Driven Smart Spaces

2

Outline

1. Introduction

2. Reference platform and use case

3. Evaluation

4. Conclusion

3

Linked Data Cloud

4

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

5

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

6

Architecture

RecommenderSystem

UGCManager

SemanticAnnotator

Reference platform

DBpedia

7

Linked Data-Driven Recommender Systems

● Suggest items to users

– Linked Data-based similarity– Three types

● Hierarchical● Transversal● Hybrid

8

Recommendation Algorithm

Ranked set of items (classified by categories)

Item (URI)

9

Recommendation Algorithm

CategoryExtraction

Ranked set of items (classified by categories)

Item (URI)

10

Recommendation Algorithm

CategoryExtraction

SubcategoryExtraction

Ranked set of items (classified by categories)

Item (URI)

11

Recommendation Algorithm

CategoryExtraction

SubcategoryExtraction

ItemExtraction

Ranked set of items (classified by categories)

Item (URI)

12

Recommendation Algorithm

CategoryExtraction

SubcategoryExtraction

Item Extraction

Item -category Mapping

Ranked set of items (classified by categories)

Item (URI)

13

Recommendation Algorithm

CategoryExtraction

SubcategoryExtraction

Item Extraction

Item -category Mapping

TransversalSimilarity

Calculation

Ranked set of items (classified by categories)

Item (URI)

14

Recommendation Algorithm

CategoryExtraction

SubcategoryExtraction

Item Extraction

Item -category Mapping

TransversalSimilarity

Calculation

Categorizationand

Ranking

Ranked set of items (classified by categories)

Item (URI)

15

Use Case

Peter and Paul fortress

Hermitage Museum

St. Isaac's Cathedral

St. Petersburg Smart Space

16

Use Case

Peter and Paul fortress

Hermitage Museum

St. Isaac's Cathedral

St. Petersburg Smart Space

DBpedia information +

17

Use Case

Peter and Paul fortress

Hermitage Museum

St. Isaac's Cathedral

St. Petersburg Smart Space

18

Execution Time

19

Candidate Items

20

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

21

большое спасибо

22

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)

23

Accuracy Evaluation

● Goal

– Method to use– Recommender system to use for comparison

● Method

– Systematic review– 69 papers included

● Result

– User studies most used

24

Semantic Annotator

Text

ProcessorSemantic

Broker Resolvers

SemanticFilterAggragator

25

UGC Manager

RESTAPI

SPARQLEndpoint

SQL

RDF

top related