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- 130 creator dimitrios-skoutas.
- 130 creator giorgos-giannopoulos.
- 130 creator nikos-karagiannakis.
- 130 creator spiros-athanasiou.
- 130 type InProceedings.
- 130 label "Learning to Classify Spatiotextual Entities in Maps".
- 130 sameAs 130.
- 130 abstract "In this paper, we present an approach for automatically recommending categories for geospatial entities, based on already existing annotated entities. Our goal is to facilitate the annotation process in crowdsourcing map initiatives such as OpenStreetMap, so that more accurate annotations are produced for the newly created spatial entities, while at the same time increasing the reuse of already existing tags. We select and construct a set of training features to represent the attributes of the geospatial entities and to capture their relation with the categories they are annotated with. These features include spatial, textual and semantic properties of the entities. We evaluate four different approaches, namely SVM, kNN, clustering+SVM and clustering+kNN, on several combinations of the defined training features and we examine which configurations of the algorithms achieve the best results. The presented work is deployed in OSMRec, a plugin for the JOSM tool that is commonly used for editing content in OpenStreetMap.".
- 130 hasAuthorList authorList.
- 130 isPartOf proceedings.
- 130 title "Learning to Classify Spatiotextual Entities in Maps".