Results 1 - 10 of 1,848

OSMonto -- An Ontology of OpenStreetMap Tags

by Mihai Codescu, Gregor Horsinka, Oliver Kutz, Till Mossakowski, Rafaela Rau
"... We provide an ontology for OpenStreetMap tags, called OSMonto, which can be used in different ways: (1) browsing of the hierarchy of tags is eased, (2) tags can be related with other ontologies, let it be tool-specific ontologies or more general ontologies like the recent Schema.org ontology support ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
We provide an ontology for OpenStreetMap tags, called OSMonto, which can be used in different ways: (1) browsing of the hierarchy of tags is eased, (2) tags can be related with other ontologies, let it be tool-specific ontologies or more general ontologies like the recent Schema.org ontology

Storing semistructured data with STORED

by Alin Deutsch, Mary Fernandez, Dan Suciu
"... Systems for managing and querying semistructured-data sources often store data in proprietary object repositories or in a tagged-text format. We describe a technique that can use relational database management systems to store and manage semistructured data. Our technique relies on a mapping between ..."
Abstract - Cited by 249 (10 self) - Add to MetaCart
Systems for managing and querying semistructured-data sources often store data in proprietary object repositories or in a tagged-text format. We describe a technique that can use relational database management systems to store and manage semistructured data. Our technique relies on a mapping

Mapping the World’s Photos

by David Crandall, Lars Backstrom, Daniel Huttenlocher, Jon Kleinberg , 2009
"... We investigate how to organize a large collection of geotagged photos, working with a dataset of about 35 million images collected from Flickr. Our approach combines content analysis based on text tags and image data with structural analysis based on geospatial data. We use the spatial distribution ..."
Abstract - Cited by 179 (4 self) - Add to MetaCart
We investigate how to organize a large collection of geotagged photos, working with a dataset of about 35 million images collected from Flickr. Our approach combines content analysis based on text tags and image data with structural analysis based on geospatial data. We use the spatial distribution

Geographic location tags on digital images

by Kentaro Toyama , Ron Logan , Asta Roseway , P Anandan - In MULTIMEDIA ’03: Proceedings of the eleventh ACM international conference on Multimedia, ACM
"... ABSTRACT We describe an end-to-end system that capitalizes on geographic location tags for digital photographs. The World Wide Media eXchange (WWMX) database indexes large collections of image media by several pieces of metadata including timestamp, owner, and critically, location stamp. The locati ..."
Abstract - Cited by 101 (0 self) - Add to MetaCart
media, and an intuitive UI for browsing a massive location-tagged image database. We end by describing an application built on top of the WWMX, a lightweight travelogue-authoring tool that automatically creates appropriate context maps for a slideshow of location-tagged photographs.

Semantic tagging on historical maps

by Bernhard Haslhofer, Werner Robitza, Carl Lagoze, Francois Guimbretiere - In Proceedings of the 5th Annual ACM Web Science Conference, WebSci ’13 , 2013
"... Tags assigned by users to shared content can be ambiguous. As a possible solution, we propose semantic tagging as a collaborative process in which a user selects and associates Web resources drawn from a knowledge context. We applied this general technique in the specific context of online his-toric ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
-torical maps and allowed users to annotate and tag them. To study the effects of semantic tagging on tag production, the types and categories of obtained tags, and user task load, we conducted an in-lab within-subject experiment with 24 par-ticipants who annotated and tagged two distinct maps. We found

TagMe! – Enhancing Social Tagging with Spatial Context

by Fabian Abel, Nicola Henze, Ricardo Kawase, Daniel Krause, Patrick Siehndel
"... Abstract. TagMe! is a tagging and exploration front-end for Flickr images, which enables users to annotate specific areas of an image, i.e. users can attach tag assignments to a specific area within an image and further categorize the tag assignments. Additionally, TagMe! automatically maps tags and ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Abstract. TagMe! is a tagging and exploration front-end for Flickr images, which enables users to annotate specific areas of an image, i.e. users can attach tag assignments to a specific area within an image and further categorize the tag assignments. Additionally, TagMe! automatically maps tags

TagMe!: Enhancing Social Tagging with Spatial Context

by Ricardo Kawase, Forschungszentrum Ls, Patrick Siehndel, Forschungszentrum Ls, Fabian Abel, Nicola Henze, Ricardo Kawase, Daniel Krause, Patrick Siehndel , 2010
"... Abstract. TagMe! is a tagging and exploration front-end for Flickr images, which enables users to annotate specific areas of an image, i.e. users can attach tag assignments to a specific area within an image and further categorize the tag assignments. Additionally, TagMe! automatically maps tags and ..."
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Abstract. TagMe! is a tagging and exploration front-end for Flickr images, which enables users to annotate specific areas of an image, i.e. users can attach tag assignments to a specific area within an image and further categorize the tag assignments. Additionally, TagMe! automatically maps tags

Semantic grounding of tag relatedness in social bookmarking systems

by Ciro Cattuto, Dominik Benz, Andreas Hotho, Gerd Stumme - In The Semantic Web – ISWC 2008, Proc.Intl. Semantic Web Conference 2008, volume 5318 of LNAI , 2008
"... Abstract. Collaborative tagging systems have nowadays become important data sources for populating semantic web applications. For tasks like synonym detection and discovery of concept hierarchies, many researchers introduced measures of tag similarity. Even though most of these measures appear very ..."
Abstract - Cited by 61 (10 self) - Add to MetaCart
and analyze several measures of tag similarity: Each measure is computed on data from the social bookmarking system del.icio.us and a semantic grounding is provided by mapping pairs of similar tags in the folksonomy to pairs of synsets in Wordnet, where we use validated measures of semantic distance

Mapping and localization with rfid technology

by Dirk Hähnel, Wolfram Burgard - In Proceedings of ICRA’05 , 2004
"... Fig. 1. Typical RFID tags used to label objects. The size of the tag depicted in the center is 11 × 5 cm. Abstract — In this paper we analyze whether recent Radio Frequency Identification (RFID) technology can be used to improve the localization of mobile robots and persons in their environment. In ..."
Abstract - Cited by 111 (2 self) - Add to MetaCart
. In particular we study the problem of localizing RFID tags with a mobile platform that is equipped with a pair of RFID antennas. We present a probabilistic measurement model for RFID readers that allow us to accurately localize RFID tags in the environment. We also demonstrate how such maps can be used

The Impact of Multifaceted Tagging on Learning Tag Relations and Search

by Fabian Abel, Nicola Henze, Ricardo Kawase, Daniel Krause
"... Abstract. In this paper we present a model for multifaceted tagging, i.e. tagging enriched with contextual information. We present TagMe!, a social tagging front-end for Flickr images, that provides multifaceted tagging functionality: It enables users to attach tag assignments to a specific area wit ..."
Abstract - Cited by 5 (5 self) - Add to MetaCart
within an image and to categorize tag assignments. Moreover, TagMe! maps tags and categories to DBpedia URIs to clearly define the meaning of freely-chosen words. Our experiments reveal the benefits of these additional tagging facets. For example, the exploitation of the facets significantly improves
Results 1 - 10 of 1,848