towards the integration of research group website into the web of data

Towards the Integration of a Research GroupWebsite into the Web of Data

Mikel Emaldi David Bujan Diego Lopez de Ipina{m.emaldi, dbujan, dipina}@deusto.es

Deusto Institute of Technology - DeustoTech

November 2011

Motivation Our Solution Linked Data Extension Conclusions Future Work

1 Motivation

2 Our SolutionFirst ApproachSolution OverviewData ExtractionSystem Architecture

3 Linked Data Extension

4 Conclusions

5 Future Work

Mikel Emaldi, David Bujan, Diego Lopez de Ipina DeustoTech - Internet

Towards the Integration of a Research Group Website into the Web of Data

Table of Contents

1 Motivation



4 Conclusions

5 Future Work


Motivation

The desire of offering our research group website’s(http://www.morelab.deusto.es) data as Linked Data

Our web is supported by Joomla! CMS

The data is unstructured

We chose our publications section as first attempt

Almost 100 publicationsPossibility to link them to external datasetsWe saw the oportunity of centralize group’s FOAF files



http://www.morelab.deusto.es

Table of Contents

1 Motivation



4 Conclusions

5 Future Work


First Approach

First Approach

A solution based on Python web-script (mod python)

The core code of Joomla! was to be modified

Here there was a major problem:

When a security update was installed, Joomla! used to destroyour custom code




Solution Overview

Joomla! Extension

A solution based on an Extension for Joomla!




Solution Overview

Joomla! Extension


Component




Solution Overview

Joomla! Extension


Plugin




Solution Overview

Joomla! Extension


It offers a feasible solution for analyze published publicationsand to generate correspondent Linked Data




Data Extraction

Joomla! Content Example

TALISMAN+: Intelligent System for Follow-Up andPromotion of Personal AutonomyDavid Ausın, Diego Lopez-de-Ipina, Jose Bravo, Miguel Angel Valero, Francisco Florez. TALISMAN+:Intelligent System for Follow-Up and Promotion of Personal Autonomy. III International Workshop onAmbient Assisted Living - IWAAL 2011. Malaga, Spain. June 2011.

The TALISMAN+ project, financed by the Spanish Ministry of Science and Innovation, aims to researchand demonstrate innovative solutions transferable to society which offer services and products based oninformation and communication technologies in order to promote personal autonomy in prevention andmonitoring scenarios. It will solve critical interoperability problems among systems and emergingtechnologies in a context where heterogeneity brings about accessibility barriers not yet overcome anddemanded by the scientific, technological or social-health settings.

Download




Data Extraction

Overview

Data is extracted throught three ways:

User defined Regular ExpressionDBLP SPARQL EndpointGoogle Scholar search engine




Data Extraction

Overview


User defined Regular Expression

DBLP SPARQL EndpointGoogle Scholar search engine




Data Extraction

Overview


User defined Regular ExpressionDBLP SPARQL Endpoint

Google Scholar search engine




Data Extraction

Overview


User defined Regular ExpressionDBLP SPARQL EndpointGoogle Scholar search engine




Data Extraction

Regex I

User defines a regular expression to parse its content

User has to define used ontologies and their prefixes into theadmin control panel

The regex tags are clearly understandable

The ontology properties to be mapped are tagged between {}Every delimiter (also the {}) is identified by a \The term {dummy} can be used to ignore content




Data Extraction

Regex II

David Ausın, Diego Lopez-de-Ipina, Jose Bravo, Miguel Angel Valero, Francisco Florez. TALISMAN+:Intelligent System for Follow-Up and Promotion of Personal Autonomy. III International Workshop onAmbient Assisted Living - IWAAL 2011. Malaga, Spain. June 2011.

The TALISMAN+ project, financed by the Spanish Ministry of Science and Innovation, aims to researchand demonstrate innovative solutions transferable to society which offer services and products based oninformation and communication technologies in order to promote personal autonomy in prevention andmonitoring scenarios. It will solve critical interoperability problems among systems and emergingtechnologies in a context where heterogeneity brings about accessibility barriers not yet overcome anddemanded by the scientific, technological or social-health settings.

Download

{dc : c r e a t o r , sep ( , )}\ . \{dc : t i t l e }\.\{swrc : s e r i e s }\. \{swrc : l o c a t i o n }\.\{dc : d a t e }\. \{b i b o : a b s t r a c t} \Download\$




Data Extraction

DBLP I

Digital Bibliography & Library Project

> 1.3 million articles

SPARQL endpoint at:

http://dblp.l3s.de/d2r/sparql/

http://dblp.l3s.de/d2r/snorql/



http://dblp.l3s.de/d2r/sparql/

http://dblp.l3s.de/d2r/snorql/


Data Extraction

DBLP II

DBLP SPARQL endpoint is used to search data aboutpublications

SELECT DISTINCT ?uri ?p ?o WHERE {?uri dc:title“title-of-article”ˆˆ<http://www.w3.org/2001/XMLSchema#string>}

Data is enriched with our own data and saved into the RDFstore

We also link members FOAF’s to DBLP authors data<http://www.morelab.deusto.es/resource/dipina> owl:sameAs<http://dblp.l3s.de/d2r/resource/authors/Diego Lopez-de-Ipina> ;




Data Extraction

Google Scholar I

A simple way to broadly search for scholarly literature

http://scholar.google.com

It exports data in diferent formats

BibTeXEndNoteRefManRefWorksWenXiangWang



http://scholar.google.com


Data Extraction

Google Scholar II

The data from GS is extracted via BibTeX scrapping




Data Extraction

Google Scholar II


An HTTP request using an specific cookie to retrieve BibTeXdata




Data Extraction

Google Scholar II


BibTeX data is retrieved




Data Extraction

Google Scholar II


Mapping from BibTeX data to RDF




Data Extraction

FOAF

Every member of our group has its own FOAF file

http://www.morelab.deusto.es/resource/member-alias

Every publication is linked to its author’s URI<http://www.morelab.deusto.es/resource/imhotep-an-approach-to-user-and-device-conscious-mobile-applications> dc:creator<http://www.morelab.deusto.es/resource/dipina>

This is done automatically looking for author’s nicknames



http://www.morelab.deusto.es/resource/member-alias


Data Extraction

Flowchart




System Architecture

Overview




System Architecture

Joseki + SDB

Joseki

A SPARQL server for JenaStorage into RDF files and relational databasesIt allows SPARQL UpdatesIt is private for our system

SDB

A component of JenaIt provides:

Scalable storageQuery of RDF datasets using conventional SQL databases




System Architecture

Pubby

Pubby adds Linked Data interfaces to SPARQL endpointsIt allows content negotiation among these formats:

HTMLRDF/XMLN3




System Architecture

Snorql

An AJAXy front-end for exploring RDF SPARQL endpoints

More usable than Joseki

It is MoreLab’s public SPARQL endpoint



Table of Contents

1 Motivation



4 Conclusions

5 Future Work


Admin Overview

Dataset Creation:




Admin Overview

Ontology Prefix Definition:

Regex Definition:




User Overview



Table of Contents

1 Motivation



4 Conclusions

5 Future Work


Conclusions

This solution integrates our data into Web of Data easily

Provides a reusable solution

Opens the door to more extendable solutions



Table of Contents

1 Motivation



4 Conclusions

5 Future Work


Future Work

Link our datasets with more external datasets

DBPediaGeonames

RDF and SPARQL search form

Externalize linked data sources

Building the Extension modularly



Towards the Integration of a Research GroupWebsite into the Web of Data

Mikel Emaldi David Bujan Diego Lopez de Ipina{m.emaldi, dbujan, dipina}@deusto.es

Deusto Institute of Technology - DeustoTech

November 2011

towards the integration of research group website into the web of data

Technology

cmsthe data

linked dataour web

web of datamotivation

extensiona solution

research group websiteshttp

web of datatable

componentmikel emaldi

pluginmikel emaldi