Abstract | ||
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The novel mobile application csxPOI (short for: collaborative, semantic, and context-aware points-of-interest) enables its users to collaboratively create, share, and modify semantic points of interest (POI). Semantic POIs describe geographic places with explicit semantic properties of a collaboratively created ontology. As the ontology includes multiple subclassifications and instantiations and as it links to DBpedia, the richness of annotation goes far beyond mere textual annotations such as tags. Users can search for POIs through the subclass hierarchy of the collaboratively created ontology. For example, a POI annotated as bakery can be found through the search string shop as it is a superclass of bakery. Data mining techniques are employed to cluster and thus improve the quality of the collaboratively created POIs. |
Year | DOI | Venue |
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2010 | 10.1007/978-3-642-13489-0_25 | ESWC (2) |
Keywords | Field | DocType |
semantic point,explicit semantic property,collaborative semantic point,mere textual,semantic pois,multiple subclassifications,geographic place,search string shop,novel mobile application csxpoi,context-aware points-of-interest,data mining technique,point of interest,data mining | String searching algorithm,Ontology,Data mining,Superclass,Computer science,Semantic property,Hierarchy,World Wide Web,Annotation,Information retrieval,Semantic search,Point of interest,Database | Conference |
Volume | ISSN | ISBN |
6089 | 0302-9743 | 3-642-13488-2 |
Citations | PageRank | References |
5 | 0.66 | 6 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Max Braun | 1 | 12 | 1.97 |
Ansgar Scherp | 2 | 673 | 80.74 |
Steffen Staab | 3 | 6658 | 593.89 |