Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Simon Overell"'
Autor:
Simon Overell, Stefan Rüger
Publikováno v:
Journal of Computational Science. 2:193-197
Saul Steinberg's most famous cartoon "View of the world from 9th Avenue" depicts the world as seen by self-absorbed New Yorkers. By analysing wikipediae of a range of different languages, we find that this particular fish-eye world view is ubiquitous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a29c9b95caea17d055cbcaa32de4130d
https://doi.org/10.1016/j.jocs.2011.05.006
https://doi.org/10.1016/j.jocs.2011.05.006
Autor:
Simon Overell
Publikováno v:
SIGSPATIAL Special. 3:12-15
Place name ambiguity is a sub-task of the more general problem of word sense disambiguation. Ide and Véronis [6] concisely define the problem of disambiguation as " matching the context of the instance of the word to be disambiguated with either inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::472965e6d75a674605c2168106630cad
https://doi.org/10.1145/2047296.2047299
https://doi.org/10.1145/2047296.2047299
Autor:
Simon Overell, Stefan Rüger
Publikováno v:
International Journal of Geographical Information Science. 22:265-287
This paper describes the generation of a model capturing information on how placenames co-occur together. The advantages of the co-occurrence model over traditional gazetteers are discussed and the problem of placename disambiguation is presented as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecb65791187667b840146851bdfc11d4
https://doi.org/10.1080/13658810701626236
https://doi.org/10.1080/13658810701626236
Publikováno v:
WSDM
Tagging has emerged as a popular means to annotate on-line objects such as bookmarks, photos and videos. Tags vary in semantic meaning and can describe different aspects of a media object. Tags describe the content of the media as well as locations,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab489086238d0de75e7cc50eaef0d4c3
https://doi.org/10.1145/1498759.1498810
https://doi.org/10.1145/1498759.1498810
Autor:
Simon Overell, Dawei Song, Adam Rae, Stefan Rüger, Rui Hu, Ainhoa Llorente, Haiming Liu, Jianhan Zhu
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642044465
CLEF
CLEF
This paper describes an application of statistical co-occurrence techniques that built on top of a probabilistic image annotation framework is able to increase the precision of an image annotation system. We observe that probabilistic image analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ad1cf480424bc3bccc29af66055fde1
https://doi.org/10.1007/978-3-642-04447-2_79
https://doi.org/10.1007/978-3-642-04447-2_79
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642044465
CLEF
CLEF
In this paper we provide some analysis of data fusion techniques employed at GeoCLEF 2008 to merge textual and geographic relevance. These methods are compared to our own experiments, where using our GIR system, Forostar, we show that an aggressive f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5beec20766252f29d4039b962486789
https://doi.org/10.1007/978-3-642-04447-2_109
https://doi.org/10.1007/978-3-642-04447-2_109
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540857594
CLEF
CLEF
In this paper we present Forostar, our GIR system. Forostar augments a traditional IR VSM approach with geographic information. We detail our placename disambiguation and geographic relevance ranking methods, as well as how textual and geographic rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9545afd9d00654bcbb2d70668db3f365
https://doi.org/10.1007/978-3-540-85760-0_110
https://doi.org/10.1007/978-3-540-85760-0_110
Autor:
Simon Overell, Stefan Rüger
Publikováno v:
GIR
In this paper we describe the development of a geographic co-occurrence model and how it can be applied to geographic information retrieval. The model consists of mining co-occurrences of placenames from Wikipedia, and then mapping these placenames t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::831a32e97cefd946ccdea544c2a9de22
https://doi.org/10.1145/1316948.1316968
https://doi.org/10.1145/1316948.1316968
Publikováno v:
Evaluation of Multilingual and Multi-modal Information Retrieval ISBN: 9783540749981
CLEF
CLEF
We detail our methods for generating and applying co-occurrence models for the purpose of placename disambiguation. We explain in detail our use of co-occurrence models for placename disambiguation using a model generated from Wikipedia. The presente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7338b33cf5e03e5de9128fc306c9e44d
https://doi.org/10.1007/978-3-540-74999-8_119
https://doi.org/10.1007/978-3-540-74999-8_119