Feature selection, perceptron learning, and a usability case study for text categorization
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Scaling question answering to the web
ACM Transactions on Information Systems (TOIS)
Mean Shift, Mode Seeking, and Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the algorithmic implementation of multiclass kernel-based vector machines
The Journal of Machine Learning Research
World explorer: visualizing aggregate data from unstructured text in geo-referenced collections
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Towards automatic extraction of event and place semantics from flickr tags
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Autonomously semantifying wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Automatically refining the wikipedia infobox ontology
Proceedings of the 17th international conference on World Wide Web
Gazetiki: automatic creation of a geographical gazetteer
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
Evaluating similarity measures for emergent semantics of social tagging
Proceedings of the 18th international conference on World wide web
Proceedings of the 18th international conference on World wide web
Exploiting Flickr Tags and Groups for Finding Landmark Photos
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Placing flickr photos on a map
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Unsupervised named-entity extraction from the Web: An experimental study
Artificial Intelligence
LinkedGeoData: Adding a Spatial Dimension to the Web of Data
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Is it really about me?: message content in social awareness streams
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
Antourage: mining distance-constrained trips from flickr
Proceedings of the 19th international conference on World wide web
Automatic construction of travel itineraries using social breadcrumbs
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Using flickr geotags to predict user travel behaviour
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
BabelNet: building a very large multilingual semantic network
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Finding locations of flickr resources using language models and similarity search
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Ontology-based recommendation for points of interest retrieved from multiple data sources
Proceedings of the International Workshop on Semantic Web Information Management
Your mileage may vary: on the limits of social media
SIGSPATIAL Special
YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia
Artificial Intelligence
Using social media to find places of interest: a case study
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
Detecting Places of Interest Using Social Media
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Georeferencing Flickr resources based on textual meta-data
Information Sciences: an International Journal
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Databases of places have become increasingly popular to identify places of a given type that are close to a user-specified location. As it is important for these systems to use an up-to-date database with a broad coverage, there is a need for techniques that are capable of expanding place databases in an automated way. In this paper the authors discuss how geographically annotated information obtained from social media can be used to discover new places. In particular, the authors first determine potential places of interest by clustering the locations where Flickr photos have been taken. The tags from the Flickr photos and the terms of the Twitter messages posted in the vicinity of the obtained candidate places of interest are then used to rank them based on the likelihood that they belong to a given type. For several place types, their methodology finds places that are not yet contained in the databases used by Foursquare, Google, LinkedGeoData and Geonames. Furthermore, the authors' experimental results show that the proposed method can successfully identify errors in existing place databases such as Foursquare.