Results 1 - 10 of 114

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 ..."
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the performance of FolkRank-based search. Further, we demonstrate the benefits of TagMe! tagging facets for learning semantics within folksonomies. 1

MBT: A Memory-Based Part of Speech Tagger-Generator

by Walter Daelemans , Jakub Zavrel, Peter Berck, Steven Gillis - PROC. OF FOURTH WORKSHOP ON VERY LARGE CORPORA , 1996
"... We introduce a memory-based approach to part of speech tagging. Memory-based learning is a form of supervised learning based on similarity-based reasoning. The part of speech tag of a word in a particular context is extrapolated from the most similar cases held in memory. Supervised learning approac ..."
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-based tagging shares this advantage with other statistical or machine learning approaches. Additional advantages specific to a memory-based approach include (i) the relatively small tagged corpus size sufficient for training, (ii) incremental learning, (iii) explanation capabilities, (iv) flexible integration

Tag Completion for Image Retrieval

by Lei Wu Member, Rong Jin, Anil K. Jain
"... Abstract—Many social image search engines are based on keyword/tag matching. This is because tag based image retrieval (TBIR) is not only efficient but also effective. The performance of TBIR is highly dependent on the availability and quality of manual tags. Recent studies have shown that manual ta ..."
Abstract - Cited by 18 (1 self) - Add to MetaCart
of TBIR. To address this challenge, we study the problem of tag completion where the goal is to automatically fill in the missing tags as well as correct noisy tags for given images. We represent the image-tag relation by a tag matrix, and search for the optimal tag matrix consistent with both

Evaluating Similarity Measures for Emergent Semantics of Social Tagging

by Benjamin Markines, Ciro Cattuto, Dominik Benz, Andreas Hotho, Gerd Stumme
"... Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications. A key question for harvesting semantics from these systems is how to extend and adapt traditional notions of similarity to folksonomies, ..."
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, and which measures are best suited for applications such as navigation support, semantic search, and ontology learning. Here we build an evaluation framework to compare various general folksonomy-based similarity measures derived from established information-theoretic, statistical, and practical measures

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 ..."
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and categories to DBpedia URIs to clearly define the meaning. In this work we discuss the differences between tags and categories and show how both facets can be applied to learn semantic relations between concepts referenced by tags and categories. We also expose the benefits of the visual (spatial) context

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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and categories to DBpedia URIs to clearly define the meaning. In this work we discuss the dif-ferences between tags and categories and show how both facets can be applied to learn semantic relations between concepts referenced by tags and categories. We also expose the benefits of the visual (spatial) context

Chapter 11 Evaluation of Structured Collaborative Tagging

by For Web Service Matchmaking, Maciej Gawinecki, Giacomo Cabri, Marcin Paprzycki, Maria Ganzha, M. Gawinecki, G. Cabri, M. Paprzycki, M. Ganzha
"... Abstract Turning Web services into Semantic Web Services (SWS) can be pro-hibitively expensive for large repositories. In such cases collecting community descriptions in forms of structured tags can be a more affordable approach to describe Web services. However, little is understood about how taggi ..."
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explain relations between description schema (SWS, tags, flat document) and matchmaking heuristics, and performance of retrieval in different search scenarios. We also analyze reliability of tagging system performance as related to taggers’/searchers ’ autonomy. Finally, we identify threats to results

Enhanced Topic Distillation using Text, Markup Tags, and Hyperlinks

by Soumen Chakrabarti, Mukul M. Joshi, Vivek B. Tawde - In Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval , ACM , 2001
"... Topic distillation is the analysis of hyperlink graph structure to identify mutually reinforcing authorities (popular pages) and hubs (comprehensive lists of links to authorities). Topic distillation is becoming common in Web search engines, but the best-known algorithms model the Web graph at a coa ..."
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coarse grain, with whole pages as single nodes. Such models may lose vital details in the markup tag structure of the pages, and thus lead to a tightly linked irrelevant subgraph winning over a relatively sparse relevant subgraph, a phenomenon called topic drift or contamination. The problem gets

Rich Tags: Cross-Repository Browsing

by Daniel Alex, Er Smith, Joe Lambert, Mc Schraefel
"... We present RichTags, a system for cross-site browsing and exploration of digital repositories. Categorical and faceted search across repositories is poorly supported, especially compared to the support of keyword search through internet search engines. We combine a variety of information retrieval t ..."
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We present RichTags, a system for cross-site browsing and exploration of digital repositories. Categorical and faceted search across repositories is poorly supported, especially compared to the support of keyword search through internet search engines. We combine a variety of information retrieval

How Tagging Pragmatics Influence Tag Sense Discovery in Social Annotation Systems

by Thomas Niebler, Dominik Benz, Christian Körner, Markus Strohmaier, Andreas Hotho
"... Abstract. The presence of emergent semantics in social annotation systems has been reported in numerous studies. Two important problems in this context are the induction of semantic relations among tags and the discovery of different senses of a given tag. While a number of approaches for discoverin ..."
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Abstract. The presence of emergent semantics in social annotation systems has been reported in numerous studies. Two important problems in this context are the induction of semantic relations among tags and the discovery of different senses of a given tag. While a number of approaches
Results 1 - 10 of 114