This document describes a framework for implementing semantic queries in online social networks. The framework uses Semantic Web technologies to represent relationships between users in social networks as semantic triples. It extracts data from Facebook, converts it to an RDF representation using ontologies like FOAF and SIOC, and stores it in a semantic repository. This allows complex semantic queries to be run over the social network data to discover hidden relationships between users.

1. Rio de Janeiro, Brazil, 5-8 November 2011
IMPLEMENTING SEMANTIC QUERIES IN
ONLINE SOCIAL NETWORKS
Jair Abú Bechir Láscar Alarcón
jairabu@gmail.com
Otávio Calaça Xavier
otaviocx@gmail.com
Cedric Luiz de Carvalho
cedric@inf.ufg.br

2. Summary
Introduction
Foundations
Airetama
Implementing Semantic Queries
Conclusions

3. Introduction
The Web is a great technological achievement
Access, extraction, interpretation and maintenance
information is done manually
Web Systems are often isolated applications.
They are designed for human beings and are not suitable
to be automatically accessed by software tools
There is a need for software agents that help users in
finding, processing and organizing this information
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4. Introduction
This article presents the implementation
of semantic queries in online social networks
For this implementation we created a framework that
uses Semantic Web to make relationships in such networks
The experiment used in this article was to create a ranking
of affinity between users based on common interests
This work was done because of the clear need for more
sophisticated queries, which would enable the computer
to interpret these relationships semantically
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5. Foundations
Web 1.0: Internet + Hiperlinks
Web 2.0: Collaborative Web
Web 3.0: Semantic Web
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6. Foundations
Multi-Agent Systems
Online Social Networks
Web Services
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7. Airetama
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8. Airetama
FOAF is an ontology that is SIOC provides the main
used to describe people, the concepts and properties required
things they create and do, to describe information from
and how they are connected online communities
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9. Implementing Semantic Queries
Accessing Facebook Data:
Tool Agents
Member Controller Facebook Semantic
Agents Agents Integrator Repository
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10. Implementing Semantic Queries
Converting Data from Facebook to Airetama:
Facebook Airetama
Table/Field Class/Property Domain Range
User foaf:Person - -
User.name foaf:name owl:Thing rdfs:Literal
User.first_name foaf:firstName foaf:Person rdfs:Literal
User.last_name foaf:lastName foaf:Person rdfs:Literal
User.email foaf:mbox foaf:Agent owl:Thing
User.birthday foaf:birthday foaf:Agent rdfs:Literal
User.sex foaf:gender foaf:Agent rdfs:Literal
Page owl:Thing - -
Page_fan(page_id, uid) foaf:topic_interest foaf:Agent owl:Thing
Page.page_url foaf:homepage owl:Thing foaf:Document
Page.name foaf:name owl:Thing rdfs:Literal
Friend (uid1, uid2) foaf:knows foaf:Person foaf:Person
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11. Implementing Semantic Queries
Executing SPARQL from RDF Data:
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12. Conclusions
The biggest advantage found in this work is the ability to
perform semantic queries on the pre-existing data from
social network users
Another contribution was the conversion of data from
Facebook users to triples in RDF
It was also relevant to show that it is possible to create
semantic-based social applications
Can be done an approach of potential relationships
among strangers and not just a search for people you know
in real life, as is done in most social networks online today
The inclusion of semantic in the current Web aims at
allowing agents software to use their pages more
intelligently, thus offering better services
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13. Questions?
THANKS!