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Assistive tagging
2012
ACM Computing Surveys
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tag refinement. ...
Therefore, a set of new techniques has been developed by combining humans and computers for more accurate and efficient multimedia tagging, such as batch tagging, active tagging, tag recommendation, and ...
For example, many tag refinement methods are proposed for improving the accuracy and completeness of tags, and some other methods analyze the relevance, saliency, and other characteristics of tags. ...
doi:10.1145/2333112.2333120
fatcat:cvlxcazimvdjxigdvchjinnewe
Content-based tag processing for Internet social images
2010
Multimedia tools and applications
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This paper provides a comprehensive survey of the technical achievements in the research area of content-based tag processing for social images, covering the research aspects on tag ranking, tag refinement ...
Online social media services such as Flickr and Zooomr allow users to share their images with the others for social interaction. ...
Acknowledgements The authors would like to thank Xirong Li, Xiaobai Liu, and Dr. Guangyu Zhu who contribute the figures illustrating their works introduced in this paper. ...
doi:10.1007/s11042-010-0647-3
fatcat:7djlumhk6ncu5jymyae7ufp5ze
A music information system automatically generated via Web content mining techniques
2011
Information Processing & Management
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This article deals with the problem of mining music-related information from the Web and representing this information via a music information system. ...
Novel techniques have been developed as well as existing ones refined in order to automatically gather information about music artists and bands. ...
The authors would further like to thank Julien Carcenac from exalead for his support in the querying process. ...
doi:10.1016/j.ipm.2010.09.002
fatcat:qob5c7wc2rffpibuimjbnfvlxy
Semantics-Based Automated Service Discovery
2012
IEEE Transactions on Services Computing
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Our experimental results validate the effectiveness and feasibility of the proposed approach. Index Terms-Web services publishing, web services discovery, services discovery process and methodology. ...
Additionally, we utilize clustering for accurately classifying the web services based on service functionality. ...
ACKNOWLEDGMENTS This work was supported in part by the US National Science Foundation under grant IIS-0306838 and SAP Labs, LLC. ...
doi:10.1109/tsc.2011.19
fatcat:g3pnujbmubdsrczkjlxgq7dvbe
Describing and contextualizing events in TV news show
2014
Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion
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Describing multimedia content in general and TV programs in particular is a hard problem. ...
However, this approach is limited to what is being said in a program and written in a subtitle, therefore lacking a broader context. ...
Acknowledgments The authors would like to thank Michiel Hildebrand and Lilia Pérez Romero from CWI Amsterdam for providing us with ideas and use cases for illustrating the approach described in this paper ...
doi:10.1145/2567948.2579326
dblp:conf/www/GarciaVTMW14
fatcat:bebwzydxfvdtvm6rro5pkyraau
Clustering and Association Rules for Web Service Discovery and Recommendation: A Systematic Literature Review
2019
SN Computer Science
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The synthesis resulted in knowledge of currently proposed methods for web service discovery and recommendation based on clustering and association rule techniques. ...
The purpose of this study is to identify, summarize, and systematically compare various clustering and association rule techniques for web service discovery and recommendation, identify the most common ...
Finding a complete solution for web service discovery and recommendation starting with user query to matching and retrieving the requested web service and finally selecting and ranking web service is rare ...
doi:10.1007/s42979-019-0026-8
fatcat:zxtfyluvhjcexohiskvwtdr2jq
WT-LDA: User Tagging Augmented LDA for Web Service Clustering
[chapter]
2013
Lecture Notes in Computer Science
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Clustering Web services that groups together services with similar functionalities helps improve both the accuracy and efficiency of the Web service search engines. ...
Nonetheless, these approaches fail to complete leverage the information carried by the tagging data and hence only trivially improve the clustering performance. ...
For each Web service, we get the data of service name, WSDL document, tags, and the name of service provider. We publicize the crawled dataset via http://www.zjujason.com. ...
doi:10.1007/978-3-642-45005-1_12
fatcat:hu64dewppravnpasbnzgmirsnm
A survey in semantic search technologies
2008
2008 2nd IEEE International Conference on Digital Ecosystems and Technologies
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In addition, the issues within the reviewed semantic search methods and engines are analysed and concluded based on four perspectives. ...
An expression matrix, composed of expression vectors and movies, is designed to analyse the relationship between them and thus used for semantic rank. ...
The authors adopt Universal Description, Discovery and Integration which is a web service standard to register and search e-services. ...
doi:10.1109/dest.2008.4635202
fatcat:afo7yyyeqbffnenhdryclq4fu4
Towards a Unifying View of QoS-Enhanced Web Service Description and Discovery Approaches
2009
Electronic Proceedings in Theoretical Computer Science
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2009 pre-print arXiv:0906.3930v1 fatcat:oguuhhpifra5nlk3hhubvn4cn4
This motivated us to research current approaches presenting complete solutions for QoS enabled web service description, publication and discovery. ...
Various providers offer web services with the same functionality, so for web service consumers it is getting more complicated to select the web service, which best fits their requirements. ...
[2] propose a collaborative tagging-based environment for Web service discovery, allowing users to tag or annotate a Web service using keyword or free-text. ...
doi:10.4204/eptcs.2.8
fatcat:3vvawuh5trctzkdszh62lxiseu
Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization
2012
2012 IEEE 12th International Conference on Data Mining
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The standard low-rank matrix completion methods relax the rank minimization problem by the trace norm minimization. ...
The low-rank matrix completion problem is a fundamental machine learning problem with many important applications. ...
The matrix completion methods assume that the values in the data matrix (graph) are correlated and the rank of the data matrix is low. ...
doi:10.1109/icdm.2012.160
dblp:conf/icdm/NieWCHD12
fatcat:5qiwfx4eorfx7ktcgty4e7sxqa
Collaborative filtering in social tagging systems based on joint item-tag recommendations
2010
Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10
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Tapping into the wisdom of the crowd, social tagging can be considered an alternative mechanism -as opposed to Web search -for organizing and discovering information on the Web. ...
These joint recommendations are then refined by the wisdom from the crowd and projected to the item (or tag) space for final item (or tag) recommendations. ...
(Symeonidis et al. 2010) proposed a low-rank user-item-tag tensor reconstruction method to predict the missing entries in tagging data. ...
doi:10.1145/1871437.1871541
dblp:conf/cikm/PengZZW10
fatcat:aw2txylqxvb6hln2fofqdj2rdy
Crowd-annotation and LoD-based semantic indexing of content in multi-disciplinary web repositories to improve search results
2017
Proceedings of the Australasian Computer Science Week Multiconference on - ACSW '17
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We present our findings based on the annotation and tagging data on top of LoD-based annotations and the overall modus operandi. ...
Searching for relevant information in multi-disciplinary web repositories is becoming a topic of increasing interest among the computer science research community. ...
services for knowledge discovery and data exploration. ...
doi:10.1145/3014812.3014867
dblp:conf/acsw/KhanTM17
fatcat:wbtxxwbwq5bw5hqnkvivozko6u
Learning to Recommend Descriptive Tags for Questions in Social Forums
2014
ACM Transactions on Information Systems
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The incompleteness of question tags severely hinders all the tag-based manipulations, such as feeds for topic-followers, ontological knowledge organization, and other basic statistics. ...
This article presents a novel scheme that is able to comprehensively learn descriptive tags for each question. ...
The lists of candidate tags are then used as input for tag aggregation and ranking, which ultimately produces the ranked list of n recommended tags. ...
doi:10.1145/2559157
fatcat:xnvxabh2yjan5blypnid67ozb4
Self-Repairing Computers
2003
Scientific American
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In this article, we review several of our activities in these areas: service architectures for Chemical Informatics; Web 2.0 approaches for managing real-time data from online experiments; management and ...
federation of digital entities and their metadata obtained from multiple services; and the use of tagging and social bookmarking to foster scientific networking at minority serving institutions. ...
Widgets, gadgets, and badges: The content and metadata of Web 2.0 services such as Flickr and del.icio.us may be accessed through their Web sites, via RSS feeds, and via REST API calls. ...
doi:10.1038/scientificamerican0603-54
fatcat:vaanc2oiyjc2tc7bus6wkfoine
Visual topic model for web image annotation
2010
Proceedings of the Second International Conference on Internet Multimedia Computing and Service - ICIMCS '10
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The framework aims at analyzing image semantics fusing both content and context, by considering tag correlations and ambiguities. ...
In fact, the tags highly correlated in context may vary greatly in visual content and thus represent different semantics. ...
In this paper, we focus on keyword selection and image tag refinement based on the selected keywords. ...
doi:10.1145/1937728.1937758
dblp:conf/icimcs/LiuYJXST10
fatcat:deu7gz4xzndxppasmaxgzygt6y
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