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Semantic tagging on historical maps

Bernhard Haslhofer, Werner Robitza, Francois Guimbretiere, Carl Lagoze
2013 Proceedings of the 5th Annual ACM Web Science Conference on - WebSci '13  
To study the effects of semantic tagging on tag production, the types and categories of obtained tags, and user task load, we conducted an in-lab within-subject experiment with 24 participants who annotated  ...  We believe that our findings carry implications for designers who want to adopt semantic tagging in other contexts and systems on the Web.  ...  These issues are rooted in label-based nature of tags and important for system providers who want to exploit the semantics and contextual information associated with tags for resource discovery.  ... 
doi:10.1145/2464464.2464506 dblp:conf/websci/HaslhoferRGL13 fatcat:sddseszjxral3fdnqd2mm4hnry

Semantic Tagging on Historical Maps [article]

Bernhard Haslhofer, Werner Robitza, Carl Lagoze, Francois Guimbretiere
2013 arXiv   pre-print
To study the effects of semantic tagging on tag production, the types and categories of obtained tags, and user task load, we conducted an in-lab within-subject experiment with 24 participants who annotated  ...  We believe that our findings carry implications for designers who want to adopt semantic tagging in other contexts and systems on the Web.  ...  These issues are rooted in label-based nature of tags and important for system providers who want to exploit the semantics and contextual information associated with tags for resource discovery.  ... 
arXiv:1304.1636v1 fatcat:2y2ofwnv3jadle7amyytokb6fm

EachWiki: Suggest to Be an Easy-To-Edit Wiki Interface for Everyone

Huajie Zhang, Linyun Fu, Haofen Wang, Haiping Zhu, Yang Wang, Yong Yu
2007 International Semantic Web Conference  
We exploit the semantics of Wikipedia data and leverage the collective wisdom of web users to provide high quality annotation suggestions.  ...  It aims to facilitate the wiki authoring by recommending the following elements: links, categories, and properties.  ...  Third, we plan to exploit more semantics in (Semantic) Wikipedia for other suggestion modules. Figure 1 . 1 Figure 1. Editing interface of EachWiki with link suggestion view in it.  ... 
dblp:conf/semweb/ZhangFWZWY07 fatcat:u6doks652rbvdgggnles2mnzjm

Exploring the Knowledge in Semi Structured Data Sets with Rich Queries

Jürgen Umbrich, Sebastian Blohm
2008 Extended Semantic Web Conference  
We describe a system that incorporates both, semantic annotations of Wikipedia articles into the search process and allows for rich annotation search, enabling users to formulate queries based on their  ...  Semantics can be integrated in to search processing during both document analysis and querying stages.  ...  Acknowledgements This work has been supported by MFG Stiftung, Baden-Würrtemberg and by the X-Media project (www.x-media-project.org) sponsored by the European Commission as part of the Information Society  ... 
dblp:conf/esws/UmbrichB08 fatcat:gf6p4ba3ubg2le3niuuuah3oky

Community-Contributed Media Collections: Knowledge at Our Fingertips [chapter]

Tania Cerquitelli, Alessandro Fiori, Alberto Grand
2011 Community-Built Databases  
This chapter reviews different collections of user-contributed media, such as YouTube, Flickr, and Wikipedia, by presenting the main features of their online social networking sites.  ...  For example, social video-sharing communities like YouTube are incorporating ever-increasing amounts of user-contributed media, or photo-sharing communities like Flickr are managing a huge photographic  ...  The community provides a collection of templates for different categories (e.g., City, Company) to avoid ambiguous annotations and present information with a uniform layout.  ... 
doi:10.1007/978-3-642-19047-6_2 fatcat:pijcr2c3j5e5tjs73zbtuue6qa

Socially-aware video recommendation using users' profiles and crowdsourced annotations

Marco Bertini, Alberto Del Bimbo, Andrea Ferracani, Francesco Gelli, Daniele Maddaluno, Daniele Pezzatini
2013 Proceedings of the 2nd international workshop on Socially-aware multimedia - SAM '13  
We propose a sociallyaware framework for video commenting, sharing and interest discovery that combines recommendation algorithms, clustering techniques, tools for video tagging and evaluation of tag semantic  ...  In this paper we show how considering homophily in social networks can improve video recommendation, using inferred user profiles and modeling users' interests.  ...  The authors thank Daniele Daveri Niederwinkler for his contribution to the design of the graphical user interface, and Tiberio Uricchio for his technical help on Hadoop/Mahout.  ... 
doi:10.1145/2509916.2509924 dblp:conf/mm/BertiniBFGMP13a fatcat:rxohbf3cmjc6fb7egtzyt4m2ry

A novel framework for collaborative video recommendation, interest discovery and friendship suggestion based on semantic profiling

Marco Bertini, Alberto Del Bimbo, Andrea Ferracani, Francesco Gelli, Daniele Maddaluno, Daniele Pezzatini
2013 Proceedings of the 21st ACM international conference on Multimedia - MM '13  
In this demo we show a system for video commenting, sharing and interest discovery that combines recommendation algorithms, clustering techniques, tools for video tagging and evaluation of semantic resources  ...  Two important challenges for social networks are the creation of targeted and personalized content for their users, selecting the most interesting material from the huge amount of user-generated content  ...  Users' profiles are created taking into account information extracted from Facebook (e.g. page likes), InTime network users activity (comments and annotations), information provided manually (categories  ... 
doi:10.1145/2502081.2502264 dblp:conf/mm/BertiniBFGMP13 fatcat:ot5bda3k3jetbahfjoio5z2ucm

A social network for video annotation and discovery based on semantic profiling

Marco Bertini, Alberto Del Bimbo, Andrea Ferracani, Daniele Pezzatini
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
These annotations are used to semantically model the interests and the folksonomy of each user and resource in the network, and to suggest to users new resources, Facebook friends and videos whose content  ...  This paper presents a system for the social annotation and discovery of videos based on social networks and social knowledge.  ...  In this demo we suggest a method for semantic video annotation that exploits the dynamics of social networks and of user generated content: annotations are used as a mean that allows users to expand their  ... 
doi:10.1145/2187980.2188038 dblp:conf/www/BertiniBFP12 fatcat:rnor5bvcjnbhrijquonprjxdaa

Semantic Tag Cloud Generation via DBpedia [chapter]

Roberto Mirizzi, Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio
2010 Lecture Notes in Business Information Processing  
In this paper we concentrate on annotation and retrieval of web content, exploiting semantic tagging with DBpedia.  ...  Many current recommender systems exploit textual annotations (tags) provided by users to retrieve and suggest online contents.  ...  Introduction Many content-based recommender systems exploit textual annotation (e.g., tags) to recommend content to web users.  ... 
doi:10.1007/978-3-642-15208-5_4 fatcat:m76lukcuovgdnmgvt7loujcpvq

When entities meet query recommender systems

Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Raffale Perego
2013 Proceedings of the 28th Annual ACM Symposium on Applied Computing - SAC '13  
query recommendation algorithm to take into account the semantic information associated with the submitted queries.  ...  The manually annotated dataset used for performance comparisons has been made available to the research community to favor the repeatability of the experiments.  ...  Acknowledgements We acknowledge the Europeana Foundation for providing us the query logs used in our experimentation. This work was partially supported by the EU project InGeoCLOUDS (no. 297300).  ... 
doi:10.1145/2480362.2480540 dblp:conf/sac/CeccarelliGLNP13 fatcat:jxvzhv2kqzhzxd3vhokhlamnei

Recommender System Based on User-generated Content

Denis Turdakov
2007 Spring Young Researchers Colloquium on Databases and Information Systems  
In our approach we are planning to extract the semantics of such user-generated content and to use these semantics to make more useful recommendations.  ...  Recently certain communities of Internet users have engaged in creating high quality peer reviewed content for the Web.  ...  In every article of Wikipedia links guide users to associated articles, often with additional information, and lists of categories for each article organize Wikipedia articles in a taxonomic structure.  ... 
dblp:conf/syrcodis/Turdakov07 fatcat:es23mn5pvzgrlna4l7hgnsmiba

Categorising social tags to improve folksonomy-based recommendations

Iván Cantador, Ioannis Konstas, Joemon M. Jose
2011 Journal of Web Semantics  
Tags not only depict the content of the annotated items, for example by listing the objects that appear in a photo, or express contextual information about the items, for example by providing the location  ...  Our approach finds the underlying meanings (concepts) of the tags, mapping them to semantic entities belonging to external knowledge bases, namely WordNet and Wikipedia, through the exploitation of ontologies  ...  In Wikipedia, this kind of classification is given by its "Wiki categories" 7 . In the example, the semantic expansion is stopped at Locations class.  ... 
doi:10.1016/j.websem.2010.10.001 fatcat:7femyaox3rfxzgh7xds72ibmby

Categorising Social Tags to Improve Folksonomy-Based Recommendations

Ivan Cantador, Ioannis Konstas, Joemon M. Jose
2011 Social Science Research Network  
Tags not only depict the content of the annotated items, for example by listing the objects that appear in a photo, or express contextual information about the items, for example by providing the location  ...  Our approach finds the underlying meanings (concepts) of the tags, mapping them to semantic entities belonging to external knowledge bases, namely WordNet and Wikipedia, through the exploitation of ontologies  ...  In Wikipedia, this kind of classification is given by its "Wiki categories" 7 . In the example, the semantic expansion is stopped at Locations class.  ... 
doi:10.2139/ssrn.3199501 fatcat:obfkp4wqyvguvjtexnyuubo4ji

Entity Linking for the Semantic Annotation of Italian Tweets

Pierpaolo Basile, Giovanni Semeraro, Annalina Caputo
2016 Italian Journal of Computational Linguistics  
In order to make such information machine readable and enable the intelligent information access, tools for the extraction and annotation of concepts in tweets are required. 2 Named Entity Linking (NEL  ...  UNIBA: Exploiting a Distributional Semantic Model for Disambiguating and Linking Entities in Tweets.  ... 
doi:10.4000/ijcol.362 fatcat:nzd7vq75andyrnekuzuw6zsu5i

Excavating the mother lode of human-generated text: A systematic review of research that uses the wikipedia corpus

Mohamad Mehdi, Chitu Okoli, Mostafa Mesgari, Finn Årup Nielsen, Arto Lanamäki
2017 Information Processing & Management  
Information Extraction. In this sub-category of IR, studies used Wikipedia to extract structured information. Documents used for information extraction include text, HTML and XML pages.  ...  The semantic knowledge embedded within the structural components of Wikipedia makes it exploitable for both tasks. Text Classification.  ... 
doi:10.1016/j.ipm.2016.07.003 fatcat:qgjeatizfzbyjkbo4rsuxea76y
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