• Aucun résultat trouvé

Linked Data for Building a Map of Researchers

N/A
N/A
Protected

Academic year: 2022

Partager "Linked Data for Building a Map of Researchers"

Copied!
2
0
0

Texte intégral

(1)

Linked Data for Building a Map of Researchers

Olaf Hartig, Hannes M¨uhleisen, and Johann-Christoph Freytag

Humboldt-Universit¨at zu Berlin Department of Computer Science

(hartig|muehleis|freytag)@informatik.hu-berlin.de

Researchers Map1 is a simple mash-up application that provides a map of professors of the German database community, or more precisely, of the pro- fessors’ workplaces (cf. Figure 1). The list of professors represented in the map can be filtered by research interests such as query optimization or data ware- housing. Selecting a professor opens a list of her/his publications. We developed Researchers Map to showcase the potential of Linked Data for mash-up applica- tions. For this reason, Researchers Map is solely based on data that is published following the Linked Data principles [1].

Fig. 1.Screenshot of Researchers Map

Researchers Map is a prototype for a new kind of applications which enable users to retain full control over their data. To appear on the Researchers Map the professors do not have to enter their data (e.g. workplace address and re- search interests) in a form which is used to collect data for a database. Instead, each professor manages and publishes her data with her own content manage- ment system (CMS). Researchers Map only needs a URI that represents the

1 http://researchersmap.informatik.hu-berlin.de

(2)

professor and that links to the data provided by her. Professors who do not have access to a CMS may, alternatively, use a public data hosting service that can publish Linked Data. In any case, the professors do not have to give up owner- ship of the data they provide about themselves. Instead, each professor retains complete control over the authoritative source of data provided by her. This ap- proach brings the additional advantage that the data is immediately accessible for other applications. Thus, ideally, there is no need for the users to perform the cumbersome process of entering the same data in different Web forms over and over again.

Managing personal data might become a laborious task for the users. How- ever, due to the Linked Data principles users may benefit from the work done by other data publishers. For instance, instead of managing the data about their publications on their own the professors may simply refer to the data that is available in the Linked Data version of the DBLP bibliography database2. This option, however, does not deter a professor from providing additional publication data in her own dataset.

We realize Researchers Map using SQUIN3which is a Web application devel- opment component that allows consuming Linked Data in a very easy manner.

SQUIN provides a query interface to the Web of Linked Data which hides the complexity of querying Linked Data sources; developers issue SPARQL queries over a single, virtual RDF graph that basically comprises all datasets interlinked on the Web. For our application we provide queries such as the sample query in Figure 2 which are simply passed to the SQUIN component. Researchers Map needs only to process and to visualize the query results retrieved from SQUIN.

This approach allows additional flexibility by using query templates, i.e., queries that may contain place holders. Before issuing these queries the place holders are substituted with URIs or literals.

Researchers Map is Free Software; the source code is available in the Subver- sion repository of SQUIN4.

1 SELECT DISTINCT ? i ? l a b e l WHERE {

2 ? p r o f r d f : t y p e <h t t p : / / r e s . . . d a t a / d b p r o f s#D B P r o f e s s o r> ;

3 f o a f : t o p i c i n t e r e s t ? i .

4 OPTIONAL { ? i r d f s : l a b e l ? l a b e l

5 FILTER( LANG( ? l a b e l )=” en ” | | LANG( ? l a b e l )=” ” ) }

6 } ORDER BY ? l a b e l

Fig. 2.Query that collects information about the research interests of all professors in order to initialize the filter widget of Researchers Map (prefix declarations omitted)

References

1. Berners-Lee, T.: Design Issues: Linked Data. Online, Retrieved May 5, 2009, from http://www.w3.org/DesignIssues/LinkedData.html

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

3 http://squin.org

4 https://squin.svn.sourceforge.net/svnroot/squin/ResearchersMap/

Références

Documents relatifs

Based on analyzing several existing Linked Data-driven user interfaces supporting data exploration and querying, we present a novel user visual interface which enables

LD-R aims to apply the idea of component-based application development into RDF data model hence enhancing current user interfaces to view, browse and edit Linked Data..

belong to the data space, while visual abstraction stage, view stage and visual mapping transformation belong to the visual space.. These two main blocks are connected by

In this context, the system should be able to automatically retrieve and integrate information from different sources and to registry educational information about the tools

For relevance assessments and evaluation of the results, the runs were again required to be in the familiar TREC format, however containing one row of target entities (denoted by

Together with the fact that both bottom-up and top-down processes can be ob- served, where the deployed data influences the schema, we can see that there is a co-evolution of

In the current design, the platform offers six different types of basic data operations for which Web APIs have been designed: DB-RDFization (for mapping data from re- lational

Nevertheless, since in our case the BTC datasets are used as representative samples of the full Web of Linked Data, this decrease can be related to the fact that in 2012 and 2011