• Corpus ID: 35154999

Un nouveau méta-modèle pour rapprocher la folksonomie et l'ontologie d'OSM

@inproceedings{Hombiat2015UnNM,
  title={Un nouveau m{\'e}ta-mod{\`e}le pour rapprocher la folksonomie et l'ontologie d'OSM},
  author={Anthony Hombiat and Marl{\`e}ne Villanova-Oliver and J{\'e}r{\^o}me Gensel},
  booktitle={conf{\'e}rence internationale annuelle Spatial Analysis and GEOmatics},
  year={2015}
}
RESUME. Depuis les annees 2000, les technologies du Web permettent aux utilisateurs de prendre part a la production de donnees : les internautes du Web 2.0 sont les nouveaux capteurs de l’information. Du cote de l’Information Geographique affluent de nombreux jeux de donnees en provenance de plates-formes de cartographie participative telles qu’OpenStreetMap (OSM) qui a largement impulse le phenomene de la Geographique Participative (VGI). La communaute OSM represente aujourd’hui plus de deux… 

Figures from this paper

OF4OSM : un méta-modèle pour structurer la folksonomie d'OpenStreetMap en une nouvelle ontologie

Depuis les annees 2000, les technologies du Web permettent aux utilisateurs de prendre part a la production de donnees : les internautes du Web 2.0 sont les nouveaux capteurs de l’information. Du

Enrichment of ontology by exploiting collaborative tagging systems: A contextual semantic approach

This article represents a folks-Ontology semantic enrichment approach based on a contextual mapping between tags and concepts of the ontology that leads to new challenges for future research to enhance recommender systems.

Open source tools for locomotion and apprehension of space by visually impaired persons: some propositions to build a prototype based on Arduino, speech recognition and OpenStreetMap

A simple prototype using OpenStreetMap data combined to physical environment data measured from sensors connected to a Arduino board through Speech recognition is proposed.

References

SHOWING 1-10 OF 31 REFERENCES

Geographic knowledge extraction and semantic similarity in OpenStreetMap

Devising a mechanism for computing the semantic similarity of the OSM geographic classes can help alleviate this semantic gap, and empirical evidence supports the usage of co-citation algorithms—SimRank showing the highest plausibility—to compute concept similarity in a crowdsourced semantic network.

Matching Formal and Informal Geospatial Ontologies

This work proposes a new semi-automatic method to match formal and informal real life geospatial ontologies, at both terminology level and instance level, ensuring that overall information is logically coherent and consistent.

Volunteered Geographic Information: the nature and motivation of produsers

Advances in positioning, Web mapping, cellular communications and wiki technologies have surpassed the original visions of GSDI programs around the world. By tapping the distributed knowledge,

LinkedGeoData: Adding a Spatial Dimension to the Web of Data

This paper elaborates on how the collaboratively collected OpenStreetMap data can be transformed and represented adhering to the RDF data model and describes how it can be made accessible for machines according to the linked data paradigm and for humans by means of a faceted geo-data browser.

MUTO: the modular unified tagging ontology

This paper critically reviews available tagging ontologies and presents a unified vocabulary that combines the 'best of' these ontologies in one consistent schema.

ASSESSING VOLUNTEERED GEOGRAPHIC INFORMATION (VGI) QUALITY BASED ON CONTRIBUTORS' MAPPING BEHAVIOURS

VGI changed the mapping landscape by allowing people that are not professional cartographers to contribute to large mapping projects, resulting at the same time in concerns about the quality of the

The Street Network Evolution of Crowdsourced Maps: OpenStreetMap in Germany 2007-2011

It is shown that the difference between the OSM street network for car navigation in Germany and a comparable proprietary dataset was only 9% in June 2011, and that OSM even exceeds the information provided by the proprietary dataset by 27%.

Semantifying OpenStreetMap

A middle layer approach for bridging the gap between the bottom-up tags of the users and the top level Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) is proposed and the idea of “games with a purpose” is utilized to assists non-expert users in aligning their tags to DOLCE.

How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information

This paper describes three studies that were carried out to evaluate the hypothesis that as the number of contributors increases so does the quality of the data, showing that this rule indeed applies in the case of positional accuracy.

A Conceptual Model for Analyzing Contribution Patterns in the Context of VGI

The chapter proposes a conceptual model as foundation for analyzing user contributions in the context of VGI, based on a set of action and domain concepts combined to a task-model describing typical tasks of volunteered geographic information contribution.