• Aucun résultat trouvé

FOAFMap: Web 2.0 meets the Semantic Web

N/A
N/A
Protected

Academic year: 2022

Partager "FOAFMap: Web 2.0 meets the Semantic Web"

Copied!
2
0
0

Texte intégral

(1)

FOAFMap: Web2.0 meets the Semantic Web

Alexandre Passant

Laboratoire LaLICC Universit´e Paris IV, France

[email protected]

Abstract. FOAFMap -http://foafmap.net- is an online service pro- viding geolocation with a FOAF and Google Maps mashup, as a mix of both Semantic Web and Web 2.0 technologies.

1 Motivations

Web 2.0 geolocation services such as Frappr!1 allow users to create, or subscribe to, groups and related maps.

FOAFMap’s idea is to provide an equivalent service using decentralized pro- file and data management, thanks to Semantic Web principles and FOAF[1] vo- cabulary. Thus, people manage themselves their data while the tool just reads, understands and displays it in an appropriate way.

2 Overview and Implementation

FOAFMap users don’t need to register, but just have to provide a FOAF file URL, which could point to either a personal profile or a group document.

After identifying the document type (personal profile or group), the service retrieves people referenced in the file. For each people found, the script parses his personal FOAF file - if any - and extracts geolocation information that he may have provided with Geo Vocabulary2. Then, it displays these people on a Google Map, with other personal information: name, weblog or email, and even a resized picture if available on the profile.

As parsing the profile and retrieving files can be really long when there is a lot of people referenced in it, FOAFMap allows users to cache the created map in its filesystem, so that it can then be displayed faster.

Since tagging became a common practice in Web2.0 services, FOAMap also allows people to tag their maps, but once again, tags are not created locally but extracted from FOAF files. Actually, the retrieved tags arefoaf:interest properties of the user or group mentioned in the file. Tags are identified with their URL, and FOAFMap provides a way to see aliases of the same tag, as anyone can provide the title he wants using dc:title. Like most of the tools using folksonomies, FOAFMap allows people to see who shares common tags,

1 http://frappr.com

2 http://w3.org/2003/01/geo

(2)

so that you can find people with the same interests as you3. It also provides an RSS 1.0 feed of the latest created and updated maps.

FOAFMap’s source code strongly depends on PHOAF4, a PHP5 API based on RAP[2] providing a set of classes and methods for easy information extraction from FOAF files without any knowledge of FOAF and RDF. FOAFMap and PHOAF handle FOAF and RELATIONSHIP[3] vocabularies to identify relations between people - RAP inference engine is used so that relations can be retrieved either they are defined byfoaf:knowsorrel:xxx. Finally, FOAFMap also uses MySQL to store some data as users and tags, and runs on LAMP.

3 Conclusion and Future Work

FOAFMap certainly won’t evolve a lot in the future, as the goal was mainly to develop a basic prototype that could show connections between Semantic Web and user-oriented model of Web 2.0. Yet, I hope that such services can help end-users to see what FOAF and Semantic Web can bring us.

Fig. 1.My personal FOAF profile towards FOAFMap

References

1. Brickley, D., Miller, L.: FOAF Vocabulary Specification.Technical report, FOAF Project, 2003.http://xmlns.com/foaf/0.1

2. Oldakowski, R., Bizer R., Westphal D.: RAP: RDF API for PHP. InScripting for the Semantic Web, May 2005.

3. David, I., Vitiello, E.: RELATIONSHIP: A vocabulary for describing relationships between peoplehttp://vocab.org/relationship/

3http://foafmap.net/tag/3

4http://gna.org/projects/phoaf

Références

Documents relatifs

It provides a UI layer on top of the Open PHACTS linked data cache and also provides a javascript library to facili- tate easy access to the Open PHACTS API.. 1.1

Static content (e.g., an SVG world map) will be referenced as Datasource and composed with dynamic content built from RDF Datasources (e.g., the FAO Geopolitical Ontology) using

The first one is based on using an IPA agent to assist the user in the information retrieval process, and the second one treats distributed knowledge bases located at different servers

Finally, when a retrieved answer is to be inserted in the user edited docu- ment ((rich) text area), in order to preserve the semantic markup, since the user produced content is

A través de Objetos de Aprendizaje y de sus respectivos repositorios, los contenidos serían más accesibles para las personas, pero además, la Web Semántica,

Third, as a complementary measure to the proposed semi-automated tagging, we have shortly described an algorithm for automatically merging misspelled or similar tags and have shown

In this paper we first analyzed how negative statements can at all be ex- pressed in current Semantic Web languages and came to the conclusion these languages do not properly

The concept of OntoSearch is to facilitate knowledge reuse by allowing the huge number of ontology files available on the Semantic Web to be quickly and effectively searched using an