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Mining Large Query Induced Graphs towards a Hierarchical Query Folksonomy [chapter]

Alexandre P. Francisco, Ricardo Baeza-Yates, Arlindo L. Oliveira
2010 Lecture Notes in Computer Science  
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

Alexandre P. Francisco, Ricardo Baeza-Yates, Arlindo L. Oliveira
2011 Concurrency and Computation  
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]

Johann Stan, Pierre Maret
2018 Encyclopedia of Social Network Analysis and Mining  
[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]

Johann Stan, Pierre Maret
2016 Encyclopedia of Social Network Analysis and Mining  
[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

Nisar Muhammad Nisar Muhammad
2013 IOSR Journal of Computer Engineering  
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]

Manish Gupta, Rui Li, Zhijun Yin, Jiawei Han
2011 Social Network Data Analytics  
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

Benjamin Markines, Ciro Cattuto, Filippo Menczer, Dominik Benz, Andreas Hotho, Gerd Stumme
2009 Proceedings of the 18th international conference on World wide web - WWW '09  
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

Ricardo Baeza-Yates, Alessandro Tiberi
2007 Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '07  
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

Neela Sawant, Jia Li, James Z. Wang
2010 Multimedia tools and applications  
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

Manish Gupta, Rui Li, Zhijun Yin, Jiawei Han
2010 SIGKDD Explorations  
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

Daniela Godoy, Alejandro Corbellini
2015 International Journal of Intelligent Systems  
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

Malcolm Clark, Yunhyong Kim, Udo Kruschwitz, Dawei Song, Dyaa Albakour, Stephen Dignum, Ulises Cerviño Beresi, Maria Fasli, Anne De Roeck
2012 Information Processing & Management  
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

Kalina Bontcheva, Dominic Rout
2014 Semantic Web Journal  
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]

Cuong Xuan Chu, Simon Razniewski, Gerhard Weikum
2019 arXiv   pre-print
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

Peter Mika
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion  
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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