A folksonomy-ontology-based digital gazetteer service

Peng, Xiaobo; Chen, Rongguo; Cheng, Changxiu; Yan, Xiu‐Ping

doi:10.1109/geoinformatics.2010.5567595

Cited by 3 publications

(2 citation statements)

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“…4 Others' approach: gazetteer creation and merge Beard [2] outlines characteristics of a gazetteer based on Volunteered Geographic Information. Peng et al [24] describe an architecture for a digital gazetteer that accepts place names from Web 2.0 sources. Kessler, Janowicz, Bishr et al [18] proposed that the next generation gazetteer be built on a "wiki" model so that all entries are user-generated.…”

Section: Our Research Questionsmentioning

confidence: 99%

Automatic gazetteer enrichment with user-geocoded data

Gelernter

Ganesh

Krishnakumar

et al. 2013

Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information

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Geographical knowledge resources or gazetteers that are enriched with local information have the potential to add geographic precision to information retrieval. We have identified sources of novel local gazetteer entries in crowd-sourced OpenStreetMap and Wikimapia geotags that include geo-coordinates. We created a fuzzy match algorithm using machine learning (SVM) that checks both for approximate spelling and approximate geocoding in order to find duplicates between the crowd-sourced tags and the gazetteer in effort to absorb those tags that are novel. For each crowd-sourced tag, our algorithm generates candidate matches from the gazetteer and then ranks those candidates based on word form or geographical relations between each tag and gazetteer candidate. We compared a baseline of edit distance for candidate ranking to an SVM-trained candidate ranking model on a city level location tag match task. Experiment results show that the SVM greatly outperforms the baseline.

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Section: Our Research Questionsmentioning

confidence: 99%

Automatic gazetteer enrichment with user-geocoded data

Gelernter

Ganesh

Krishnakumar

et al. 2013

Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information

View full text Add to dashboard Cite

show abstract

“…• The FODGS Gazetteer [14] uses a particular folksonomy, RDF and ontologies to describe place names using tags. FODGS was developed to disambiguate and search place names from China.…”

Section: Related Workmentioning

confidence: 99%