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Mining Large Query Induced Graphs towards a Hierarchical Query Folksonomy
[chapter]
2010
Lecture Notes in Computer Science
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Our approach consists on efficiently obtaining a hierarchical clustering for such graphs and, then, a hierarchical query folksonomy. ...
In this paper we present and discuss results on mining large query log induced graphs, and how they contribute to query classification and to understand user intent and interest. ...
Graph Clustering and Induced Query Folksonomy One of the hardest problems in graph mining is finding graph community structure or graph clustering. ...
doi:10.1007/978-3-642-16321-0_24
fatcat:mq2r7uuv4bba7m42zo6d535kyy
Mining query log graphs towards a query folksonomy
2011
Concurrency and Computation
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Our results rely on the analysis of large query log induced graphs, namely click induced graphs. ...
We tackle the problem of clustering click induced graphs, namely we discuss an efficient hierarchical clustering method for these large weighted graphs. ...
In this paper we discuss how to infer a query folksonomy through the efficient analysis of large query logs and, in particular, of click induced graphs. ...
doi:10.1002/cpe.1773
fatcat:47gh2ch5unbe3naicqrnogpb6y
Social Bookmarking or Tagging
[chapter]
2018
Encyclopedia of Social Network Analysis and Mining
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[18] propose a method to personalize a user's experience within a folksonomy using unsupervised clustering of social tags as intermediaries between a query and and a set of items. ...
Mika [29] uses a graph-based approach to construct a network of related tags, projected from either a user-tag or object-tag association graphs. ...
doi:10.1007/978-1-4939-7131-2_91
fatcat:5rruddljwfd53n6c64mc5hgoga
Social Bookmarking or Tagging
[chapter]
2016
Encyclopedia of Social Network Analysis and Mining
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[18] propose a method to personalize a user's experience within a folksonomy using unsupervised clustering of social tags as intermediaries between a query and and a set of items. ...
Mika [29] uses a graph-based approach to construct a network of related tags, projected from either a user-tag or object-tag association graphs. ...
doi:10.1007/978-1-4614-7163-9_91-1
fatcat:shagyhxwkbekhowkrnz3bruhue
A Literature Survey on Ranking Tagged Web Documents in Social Bookmarking Systems
2013
IOSR Journal of Computer Engineering
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A lot of research works have already been published to tickle the problem by exploiting different features of folksonomy structure. ...
This survey provides a brief review of state-ofthe-art, challenges and solutions towards recommending and ranking tagged web documents in Social Bookmarking Systems (SBS). ...
. , . ( ) ∈ ( ) With ← + ∀ ∈ , ∀ ∈ (2)
S-BITS: Social Bookmarking Induced Topic Search The idea of HITS (Hypertext Induced Topic Search) is followed in the S-BITS [51] approach toward ranking search ...
doi:10.9790/0661-1155669
fatcat:m5iewfyp7beppccacjprusvdhu
An Overview of Social Tagging and Applications
[chapter]
2011
Social Network Data Analytics
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Social tagging on online portals has become a trend now. It has emerged as one of the best ways of associating metadata with web objects. ...
This popularity has led to a vast literature on social tagging. In this survey paper, we would like to summarize different techniques employed to study various aspects of tagging. ...
Their greedy algorithm extracts a hierarchical taxonomy using graph centrality in a tag similarity graph. ...
doi:10.1007/978-1-4419-8462-3_16
fatcat:czs2um2xvrd6vnfpefzae2ftwq
Evaluating similarity measures for emergent semantics of social tagging
2009
Proceedings of the 18th international conference on World wide web - WWW '09
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A key question for harvesting semantics from these systems is how to extend and adapt traditional notions of similarity to folksonomies, and which measures are best suited for applications such as navigation ...
Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications. ...
The usage of folksonomy induced information and the combination with Semantic Web technology is seen as the next transition towards the "Web 3.0." ...
doi:10.1145/1526709.1526796
dblp:conf/www/MarkinesCMBHS09
fatcat:g7jq3yidhbe7lnr2ffeprqchqq
Extracting semantic relations from query logs
2007
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '07
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We first propose a novel way to represent queries in a vector space based on a graph derived from the query-click bipartite graph. ...
In this paper we study a large query log of more than twenty million queries with the goal of extracting the semantic relations that are implicitly captured in the actions of users submitting queries and ...
The collaborative tagging work on sites like Flickr has created non-hierarchical categories called folksonomies. ...
doi:10.1145/1281192.1281204
dblp:conf/kdd/Baeza-YatesT07
fatcat:zu3hqfvkgrbczl4qtcblvmfxom
Automatic image semantic interpretation using social action and tagging data
2010
Multimedia tools and applications
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The plethora of social actions and annotations (tags, comments, ratings) from online media sharing Websites and collaborative games have induced a paradigm shift in the research on image semantic interpretation ...
Social inputs with their added context represent a strong substitute for expert annotations. ...
graph [119] . ...
doi:10.1007/s11042-010-0650-8
fatcat:kqu6kyess5f3re554jsueuuzem
Survey on social tagging techniques
2010
SIGKDD Explorations
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Social tagging on online portals has become a trend now. It has emerged as one of the best ways of associating metadata with web objects. ...
This popularity has led to a vast literature on social tagging. In this survey paper, we would like to summarize different techniques employed to study various aspects of tagging. ...
First, tag clouds obscure useful information by being skewed towards what is popular. Second, answering a question using the tag cloud required more queries per question than the search box. ...
doi:10.1145/1882471.1882480
fatcat:bj55ymqcerfu5jd3cqd7n6d6am
Folksonomy-Based Recommender Systems: A State-of-the-Art Review
2015
International Journal of Intelligent Systems
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This review aims at providing a comprehensive overview of the literature in the eld of folksonomy-based recommender 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. ...
[33] automatically extends queries submitted to retrieve relevant resources with authoritative tags (i.e., tags having a high PageRank in a tag resource graph and/or in a user tag graph constructed ...
doi:10.1002/int.21753
fatcat:ylf6d4a3ybdkpjrytblvgkvbuu
Automatically structuring domain knowledge from text: An overview of current research
2012
Information Processing & Management
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Applications of domain models have a long history within knowledge engineering and artificial intelligence. ...
In the last couple of decades they have surfaced noticeably as a useful tool within natural language processing, information retrieval and semantic web technology. ...
database, and as a hierarchical or partially ordered graph comprising domain-relevant entities as nodes. ...
doi:10.1016/j.ipm.2011.07.002
fatcat:qmtwq3lqubf2dmulehnsey4cmm
Making sense of social media streams through semantics: A survey
2014
Semantic Web Journal
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Using semantic technologies for mining and intelligent information access to social media is a challenging, emerging research area. ...
Unlike carefully authored news text and longer web context, social media streams pose a number of new challenges, due to their large-scale, short, noisy, contextdependent, and dynamic nature. ...
The authors wish to thank Marta Sabou and Arno Scharl for the discussions on crowdsourcing and its role in semantic technologies research, as well as Diana Maynard for the discussions on opinion mining ...
doi:10.3233/sw-130110
fatcat:uytdbegs3ngcbpu62i4trrxjni
TiFi: Taxonomy Induction for Fictional Domains [Extended version]
[article]
2019
arXiv
pre-print
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A comprehensive evaluation shows that TiFi is able to construct taxonomies for a diverse range of fictional domains such as Lord of the Rings, The Simpsons or Greek Mythology with very high precision and ...
that it outperforms state-of-the-art baselines for taxonomy induction by a substantial margin. ...
Taxonomies are a core piece of large knowledge graphs (KGs) such as DBpedia, Wikidata, Yago and industrial KGs at Google, Microsoft Bing, Amazon, etc. ...
arXiv:1901.10263v1
fatcat:rhgd5i6qhvgonc42uaz7lsbuny
Social Networks and the Semantic Web
2015
Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion
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that induces a sense of social responsibility. ...
However, any other graph structure that can be defined through queries (views on the data) can be read into a graph. ...
The tropical storm continued to move towards Florida, and became a hurricane only two hours before it made landfall between Hallandale Beach and Aventura, Florida on the morning of August 25. ...
doi:10.1145/2740908.2742138
dblp:conf/www/Mika15
fatcat:ptyntdmnjrc4tcayyytykwlaba
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