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Browsing Linked Data Graphs PUC-Rio – DI Aluno: Jeronimo Eichler 12014OWL - Jeronimo Eichler.

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Linked Open Data Opportunities  Make information public;  Discover related datasets;  Integrate datasets;  Reuse knowledge;  Discover new knowledge; 2014OWL - Jeronimo Eichler
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Browsing Linked Data Graphs PUC-Rio – DI Aluno: Jeronimo Eichler 1 2014 OWL - Jeronimo Eichler
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Page 1: Browsing Linked Data Graphs PUC-Rio – DI Aluno: Jeronimo Eichler 12014OWL - Jeronimo Eichler.

Browsing Linked Data Graphs

PUC-Rio – DI

Aluno: Jeronimo Eichler

1 2014OWL - Jeronimo Eichler

Page 2: Browsing Linked Data Graphs PUC-Rio – DI Aluno: Jeronimo Eichler 12014OWL - Jeronimo Eichler.

Sumary Motivation Problems Approaches Mashpoint References

OWL - Jeronimo Eichler 2 2014

Page 3: Browsing Linked Data Graphs PUC-Rio – DI Aluno: Jeronimo Eichler 12014OWL - Jeronimo Eichler.

Linked Open Data Opportunities

Make information public; Discover related datasets;Integrate datasets;Reuse knowledge;Discover new knowledge;

2014OWL - Jeronimo Eichler

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Web of Data

2014OWL - Jeronimo Eichler

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ProblemAlthough a huge quantity of information is available on the Web, it is hard to end users to access Linked Data in a broader scenario.Users are generally confined in islands of information.Despite the Linked Data principles it is still a challenge to create simple interations to allow users to easily navigate beyond the current dataset.

2014OWL - Jeronimo Eichler

Page 6: Browsing Linked Data Graphs PUC-Rio – DI Aluno: Jeronimo Eichler 12014OWL - Jeronimo Eichler.

ApproachesCurrently, two approaches emerge to address this goal:(1)Using data-mapping approaches to allow

congureable interfaces to be quickly deployed over pre-selected aggregations of Linked Data:

Once deployed they create their own data silo.

2014OWL - Jeronimo Eichler

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ApproachesCurrently, two approaches emerge to address this goal:(2) Using generic data browsers leting users explore

and navigate on arbitrary data. Generic representations - a one size ts all interface for data. Closely associated with the underlying RDF model

often is too ne grained for the casual user . requires transformations for finding suitable

representations.2014OWL - Jeronimo Eichler

Page 8: Browsing Linked Data Graphs PUC-Rio – DI Aluno: Jeronimo Eichler 12014OWL - Jeronimo Eichler.

ApproachesCurrently, two approaches emerge to address this goal:(2) Using generic data browsers leting users explore

and navigate on arbitrary data. Generic representations - a one size ts all interface for data. Closely associated with the underlying RDF model

often is too ne grained for the casual user . requires transformations for finding suitable

representations.2014OWL - Jeronimo Eichler

Page 9: Browsing Linked Data Graphs PUC-Rio – DI Aluno: Jeronimo Eichler 12014OWL - Jeronimo Eichler.

MashpointMashpoint is defined as a framework that allows

data-centric interfaces to be linked based on equivalent identifiers in their respective data sources, enable them to express their state based on these identifiers, and allow these identifiers to be passed as input from one application to another as a way of enabling navigation.

Mashpoint sees applications as a higher level lenses or views over graphs of data on the Web.

2014OWL - Jeronimo Eichler

Page 10: Browsing Linked Data Graphs PUC-Rio – DI Aluno: Jeronimo Eichler 12014OWL - Jeronimo Eichler.

Mashpoint - PrinciplesData-centric applications is seen as lens over some

data because it provides data viewed in a specific context. An specific view about some data.

If different applications have information about a specific set of objects, the user can go from one application to another in order to find new objects.

Thus, the framework must be aware of what applications know to suggest related ones.

2014OWL - Jeronimo Eichler

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Mashpoint

2014OWL - Jeronimo Eichler

I have information about Earth, Saturn and

Jupiter

I know Earth and

Venus.

I know nothing!!

Page 12: Browsing Linked Data Graphs PUC-Rio – DI Aluno: Jeronimo Eichler 12014OWL - Jeronimo Eichler.

Mashpoint – Implem.The Mashpoint implementation consists of following

three parts: 1. The applications providing data-centric

information;2. A discovery service allowing applications to look

up other applications;

2014OWL - Jeronimo Eichler

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ApplicationsAn application must address the following goals to

be integrated in Mashpoint: Use URIs; Provide data-centric features; Be able to receive multiple resources as input; Be able to select and represent multiple

resources as output;

2014OWL - Jeronimo Eichler

Page 14: Browsing Linked Data Graphs PUC-Rio – DI Aluno: Jeronimo Eichler 12014OWL - Jeronimo Eichler.

Discovery ServiceThe discovery service keeps a record about which

URI identifiers can be represented in which applications. Thus, applications therefore need to register themselves in the discovery service and "subscribe" their URI identiers.

Once registered, the application can request another applications that can take the current selection to the discovery.

2014OWL - Jeronimo Eichler

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Thank you

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References

Popov, I.; Schraefel, MC; Correndo, G.; Hall, W.; Shadbolt, N. Interacting with the Web of Data through a Web of Inter-connected Lenses (2012).

Popov, I.; Schraefel, MC; Hall, W.; Shadbolt, N. Connecting the Dots: A Multi-pivot Approach to Data Exploration, ISWC-11 (2011).

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