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Leveraging multi-faceted tagging to improve search in folksonomy systems

Fabian Abel, Ricardo Kawase, Daniel Krause
2010 Proceedings of the 21st ACM conference on Hypertext and hypermedia - HT '10  
In this paper we present ranking algorithms for folksonomy systems that exploit additional contextual information attached to tag assignments available. We evaluate the algorithms in the TagMe!  ...  system, a tagging front-end for Flickr, and show that our algorithms, which exploit categories, spatial information, and URIs describing the semantics of tag assignments, perform significantly better than  ...  In our evaluation we examine how the different context facets can be exploited to improve search. TAGME! SYSTEM TagMe!  ... 
doi:10.1145/1810617.1810684 dblp:conf/ht/AbelKK10 fatcat:m3niimk5a5b3bnc2s45w2pxnlm

Social Semantic Web at Work: Annotating and Grouping Social Media Content [chapter]

Fabian Abel, Nicola Henze, Daniel Krause
2009 Lecture Notes in Business Information Processing  
Lecture Notes in Business Information Processing, volume 45 (2) , Springer, 2010 [23] . • Leveraging multi-faceted tagging to improve search in folksonomy systems. By F. Abel, R. Kawase, and D.  ...  • Multi-faceted Tagging in TagMe!. By F. Abel, R. Kawase, D. Krause, and P. Siehndel. In 8th International Semantic Web Conference (ISWC '09), Springer, 2009 [32] .  ... 
doi:10.1007/978-3-642-01344-7_15 fatcat:sjq4fgj4qzbwjipbyrvi32zxri

The Impact of Multifaceted Tagging on Learning Tag Relations and Search [chapter]

Fabian Abel, Nicola Henze, Ricardo Kawase, Daniel Krause
2010 Lecture Notes in Computer Science  
tagging facets for learning semantics within folksonomies.  ...  For example, the exploitation of the facets significantly improves the performance of FolkRank-based search. Further, we demonstrate the benefits of TagMe!  ...  In our evaluation we examine the impact of the additional context generated by the multi-faceted tagging on search and mining tag relations.  ... 
doi:10.1007/978-3-642-13489-0_7 fatcat:2rrmct63c5hhdppcffk65e3fny

Leveraging search and content exploration by exploiting context in folksonomy systems

Fabian Abel, Matteo Baldoni, Cristina Baroglio, Nicola Henze, Ricardo Kawase, Daniel Krause, Viviana Patti
2010 New Review of Hypermedia and Multimedia  
In our corresponding evaluation we show that those additional facets of tag assignments gain valuable semantics, which can be applied to improve existing search and ranking algorithms significantly.  ...  In this article we present context-aware approaches for learning semantics and improve personalized information retrieval in tagging systems.  ...  context embedded in the folksonomy can help to improve search.  ... 
doi:10.1080/13614568.2010.497193 fatcat:7ngasnz2hrccxmttcjvaywylga

TaxoFolk: a hybrid taxonomy–folksonomy classification for enhanced knowledge navigation

Ching-Chieh Kiu, Eric Tsui
2010 Knowledge Management Research & Practice  
The emergence and increasing adoption of collaborative tagging (social bookmarking) tools have provided lightweight and informal conceptual structures called folksonomies for knowledge retrieval.  ...  Hence, integrating folksonomies into a taxonomy combines the best of the two schemes as the resultant structure enhances taxonomy navigation with personsalisation for knowledge search and retrieval.  ...  This system is an automated multi-tagging system for weblog articles. For each weblog article, the system attaches multiple tags.  ... 
doi:10.1057/kmrp.2009.33 fatcat:rdi2ianb25gyvgb4llrfyqvosm

Folksonomy-Based Recommender Systems: A State-of-the-Art Review

Daniela Godoy, Alejandro Corbellini
2015 International Journal of Intelligent Systems  
J Collaborative tagging systems, also known as folksonomies, have grown in popularity over the Web on account of their simplicity to organize several types of content (e.g.  ...  In this context, tripartite relationships between users, resources and tags contained in folksonomies set new challenges for knowledge discovery approaches to be applied with recommendation purposes.  ...  In these systems tags previously associated with content are leveraged in order to recommend tags for new content.  ... 
doi:10.1002/int.21753 fatcat:ylf6d4a3ybdkpjrytblvgkvbuu

Social Tagging: Exploring the Image, the Tags, and the Game

Elena Konkova, Ayşe Göker, Richard Butterworth, and Andrew MacFarlane
2014 Knowledge organization  
Her work involves a strong user-centred approach to algorithm and search-system design, development and evaluation. Prof.  ...  She has an MSc Degree in information systems and technology with a dissertation project on social participation in image collection management.  ...  and, -Can imposing restrictions on a game along with the provision of guidelines improve the semantic description of images? To address these questions, a multi-faceted methodology was used.  ... 
doi:10.5771/0943-7444-2014-1-57 fatcat:cyj4oafmjnho7fga4zwg45gd3e

Social Tagging Recommender Systems [chapter]

Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme, Robert Jäschke, Andreas Hotho, Gerd Stumme, Panagiotis Symeonidis
2010 Recommender Systems Handbook  
In this chapter, we survey the most recent and state-of-the-art work about a whole new generation of recommender systems built to serve STS.  ...  Systems deployed in real world STS.  ...  al. employed the same underlying principle for Googlelike search and ranking in folksonomies.  ... 
doi:10.1007/978-0-387-85820-3_19 fatcat:sjgutsgwpzcdpc7ttl3tof3hpi

HOMER: A semantically enhanced knowledge management approach in the domain of homemade explosives intelligence

Dimitrios Pappas, Iraklis Paraskakis
2017 Social Network Analysis and Mining  
any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ...  distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in  ...  It offers intuitive and multi-faceted knowledge retrieval that manages to adapt to the domain of the organisation and aspires to tackle the problems of user inconsistency and result precision.  ... 
doi:10.1007/s13278-017-0451-4 fatcat:cg47mfvpdneehmzo6zodkfq5ri

CiteData

Abhay Harpale, Yiming Yang, Siddharth Gopal, Daqing He, Zhen Yue
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
Personalized search systems have evolved to utilize heterogeneous features including document hyperlinks, category labels in various taxonomies and social tags in addition to free-text of the documents  ...  We also observe that a meta personalized search engine that leverages information from multiple sources of features performs better than algorithms that use only one of the constituent source of features  ...  In Section 2, we present the idea of a multi-faceted wholesome benchmark dataset for comparing complex personalized search systems.  ... 
doi:10.1145/1871437.1871509 dblp:conf/cikm/HarpaleYGHY10 fatcat:m2kiamybm5amnhypaul2saioqy

Social search and discovery using a unified approach

Einat Amitay, David Carmel, Nadav Har'El, Shila Ofek-Koifman, Aya Soffer, Sivan Yogev, Nadav Golbandi
2009 Proceedings of the 18th international conference on World wide web - WWW '09  
In this approach, the search space is expanded to represent heterogeneous information objects that are interrelated by several relation types.  ...  Our goal is to allow searching for all object types such as documents, persons and tags, while also retrieving related objects of all types.  ...  This system leverages the information gathered from existing Web 2.0 applications in IBM to improve enterprise search.  ... 
doi:10.1145/1526709.1526933 dblp:conf/www/AmitayCHOSYG09 fatcat:frhbqwahqze6raminwqkc6jude

Social search and discovery using a unified approach

Einat Amitay, David Carmel, Nadav Har'El, Shila Ofek-Koifman, Aya Soffer, Sivan Yogev, Nadav Golbandi
2009 Proceedings of the 20th ACM conference on Hypertext and hypermedia - HT '09  
In this approach, the search space is expanded to represent heterogeneous information objects that are interrelated by several relation types.  ...  Our goal is to allow searching for all object types such as documents, persons and tags, while also retrieving related objects of all types.  ...  This system leverages the information gathered from existing Web 2.0 applications in IBM to improve enterprise search.  ... 
doi:10.1145/1557914.1557950 dblp:conf/ht/AmitayCHOSYG09 fatcat:a42jmjttvvgxtey6w24ypu6qym

Hypertext 2009

Markus Strohmaier
2009 ACM SIGWEB Newsletter  
________________________________________________________________________ The 2009 ACM Hypertext Conference was held in Torino, Italy, from June 29 th to July 1 st .  ...  An increase of 70% in submissions and 150 registered participants reflected the strong interest of the community in the conference, and in advancing and discussing the state of hypertext research.  ...  Exemplary methods presented in this track included statistical approaches for leveraging usage data to improve applications such as search in folksonomies or modeling search behavior on the web.  ... 
doi:10.1145/1592394.1592395 fatcat:lbrt72dipzelrilbesqargtbha

Scalable Faceted Ranking in Tagging Systems [chapter]

José I. Orlicki, J. Ignacio Alvarez-Hamelin, Pablo I. Fierens
2010 Lecture Notes in Business Information Processing  
in the facet.  ...  In this paper we analyze the problem of computing a ranking of users with respect to a facet described as a set of tags.  ...  Introduction In collaborative tagging systems, users assign keywords or tags to their uploaded content or bookmarks, in order to improve future navigation, filtering or searching, see, e.g., Marlow et  ... 
doi:10.1007/978-3-642-12436-5_21 fatcat:my4ffljzh5gkfotr4oyfwkeboy

Web Page Classification Using Social Tags

Sadegh Aliakbary, Hassan Abolhassani, Hossein Rahmani, Behrooz Nobakht
2009 2009 International Conference on Computational Science and Engineering  
Social tagging is a process in which many users add metadata to a shared content. Through the past few years, the popularity of social tagging has grown on the web.  ...  In this paper we investigated the use of social tags for web page classification: adding new web pages to an existing web directory. A web directory is a general human-edited directory of web pages.  ...  [28] experimented with an exploratory system using folksonomy tags to enhance searching.  ... 
doi:10.1109/cse.2009.411 dblp:conf/cse/AliakbaryARN09 fatcat:55qmayjah5b5ldcq7hcnup3dbi
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