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From DBpedia and WordNet hierarchies to LinkedIn and Twitter

Aonghus McGovern, Alexander O'Connor, Vincent Wade
2015 Proceedings of the 4th Workshop on Linked Data in Linguistics: Resources and Applications  
These terms are ranked in order to generate separate representations of the user's interests and knowledge for LinkedIn and Twitter.  ...  This paper compares Extended WordNet Domains with DBpedia.  ...  The above analysis allows for items in a user's tweets and LinkedIn profile to be linked with entities in WordNet/DBpedia.  ... 
doi:10.18653/v1/w15-4201 dblp:conf/acl-ldl/McGovernOW15 fatcat:pzfw5puxq5ftjpwpfp3otvua2i

A Hierarchical Clustering Approach for DBpedia based Contextual Information of Tweets

Venkatesha Maravanthe, Prasanth Ganesh Rao, Anita Kanavalli, Deepa Shenoy Punjalkatte, Venugopal Kuppanna Rajuk
2020 Journal of Computer Science  
Ontologies from DBpedia are used for generating primary contexts and subsequently to find relevant extended contexts.  ...  We consider both twitter trend and stream data to demonstrate the application of these contextual parts of information appropriate in clustering.  ...  The technology shift has promoted the evolution of multiple social media platforms, prominent of which are Facebook, Twitter, Instagram, LinkedIn, etc.  ... 
doi:10.3844/jcssp.2020.330.343 fatcat:2uigdscbm5bddhuesb4vbbhb7e

Making sense of social media streams through semantics: A survey

Kalina Bontcheva, Dominic Rout
2014 Semantic Web Journal  
The survey includes key methods not just from the Semantic Web research field, but also from the related areas of natural language processing and user modelling.  ...  Using semantic technologies for mining and intelligent information access to social media is a challenging, emerging research area.  ...  of Twitter and Facebook messages and for proof-reading the paper.  ... 
doi:10.3233/sw-130110 fatcat:uytdbegs3ngcbpu62i4trrxjni

D3.1 TV programme annotation model

Raphael Troncy, Ismail Harrando, Benoit Huet, Jean Carrive, Steffen Lalande, Michael Stormbom, Tiina Lindh-Knuutila, Lauri Saarikoski, Kim Viljanen
2019 Zenodo  
A scientific publication is already appended to this report which describes a novel ensemble methods to extract and disambiguate entities from different kinds of text including timed text (subtitles of  ...  Furthermore, this deliverable describes two tools that enable to convert the legacy metadata coming from both INA and Yle into RDF, the W3C standard for representing knowledge graph on the web, following  ...  the European Union's Horizon 2020 research and innovation programme via the project MeMAD (GA 780069).  ... 
doi:10.5281/zenodo.4796668 fatcat:4yfr45rvojfzrha2lcgkmkpxtu

Semantics, Sensors, and the Social Web: The Live Social Semantics Experiments [chapter]

Martin Szomszor, Ciro Cattuto, Wouter Van den Broeck, Alain Barrat, Harith Alani
2010 Lecture Notes in Computer Science  
The application integrates data from the Semantic Web, online social networks, and a face-to-face contact sensing platform.  ...  It helps researchers to find like-minded and influential researchers, to identify and meet people in their community of practice, and to capture and later retrace their real-world networking activities  ...  Acknowledgement This research was supported by the TAGora project (Future and Emerging Technologies program of the European Commission, contract IST-34721) and WeGov (EU ICT-248512).  ... 
doi:10.1007/978-3-642-13489-0_14 fatcat:hzitwr54c5hxjoreykjgfsc6fe

Inferring user interests in microblogging social networks: a survey

Guangyuan Piao, John G. Breslin
2018 User modeling and user-adapted interaction  
In this survey, we review user modeling strategies with respect to inferring user interests from previous studies.  ...  With the growing popularity of microblogging services such as Twitter in recent years, an increasing number of users are using these services in their daily lives.  ...  Thanks for the anonymous reviewers and the editor for their constructive feedback to improve this work.  ... 
doi:10.1007/s11257-018-9207-8 fatcat:yyvertb3jfdhzc4oaxsgnimznu

Identifying Relevant Sources for Data Linking using a Semantic Web Index

Andriy Nikolov, Mathieu d'Aquin
2011 The Web Conference  
is often required to assess the relevance of datasets and the part of the dataset to link to.  ...  We further apply ontology schema matching techniques to rank these candidate datasets and extract the sub-dataset to use for linking, in the form of classes with instances more likely to match the ones  ...  CIDER utilises evidence defined at the level of ontological schema: string similarity between class labels, semantic relations defined in WordNet and positions of classes in class hierarchies. • Instance-based  ... 
dblp:conf/www/Nikolovd11 fatcat:rn77wizhmzgczmyrwcexb5kq3y

A Survey of User Modelling in Social Media Websites

Ahmad Abdel-Hafez, Yue Xu
2013 Computer and Information Science  
This survey aims to discuss the available user modelling techniques for social media websites, and to highlight the weakness and strength of these methods and to provide a vision for future work in user  ...  dramatically to become a necessity.  ...  Abel et al. (2011c) enrich user profile with metadata that denote the top-level categories for words extracted from WordNet. If the words are not contained in WordNet they use DBpedia.  ... 
doi:10.5539/cis.v6n4p59 fatcat:jtibpjul4bbize22c3xsprkqzi

What Should I Link to? Identifying Relevant Sources and Classes for Data Linking [chapter]

Andriy Nikolov, Mathieu d'Aquin, Enrico Motta
2012 Lecture Notes in Computer Science  
It is necessary to choose both the repositories to link to and the relevant subsets of these repositories, which contain potentially matching individuals.  ...  In order to do this, detailed information about the content and structure of semantic repositories is often required.  ...  + www.realpageslive.com - DBPedia + twitter.com - BBC + www.songkick.com + Freebase - Open EAN + LinkedIn - dblp.l3s.de - Yahoo!  ... 
doi:10.1007/978-3-642-29923-0_19 fatcat:b3im4rlwwzdjzklz7jtahwd7fu

Analyzing user behavior across social sharing environments

Pasquale de Meo, Emilio Ferrara, Fabian Abel, Lora Aroyo, Geert-Jan Houben
2013 ACM Transactions on Intelligent Systems and Technology  
We consider three popular platforms, Flickr, Delicious and StumbleUpon, and, by combining techniques from social network analysis with techniques from semantic analysis, we characterize the tagging behavior  ...  The aim of our investigation is to see if (and how) the features and goals of a given Social Sharing system reflect on the behavior of its users and, moreover, if there exists a correlation between the  ...  Variance of references to certain types of (a-c) WordNet categories and (d-f) DBpedia concepts. Table I .  ... 
doi:10.1145/2535526 fatcat:p2t4727xzrgoxmae5e74m5tgo4

A user-centered and group-based approach for social data filtering and sharing

Xuan Truong Vu, Marie-Hélène Abel, Pierre Morizet-Mahoudeaux
2015 Computers in Human Behavior  
Among others, social network sites such as Facebook, LinkedIn, Twitter and Google+ have recently exploded in popularity by attracting millions of users, who communicate with each other, share and publish  ...  This novel approach has a twofold purpose: (1) allow the users to aggregate their social data from different social network sites, and to extract from those data the contents of their interest, and (2)  ...  posts) aggregated for one month from the three social networks Facebook, Twitter and LinkedIn.  ... 
doi:10.1016/j.chb.2014.11.079 fatcat:2etut2mmxrhpdnhimqoiyottri

Live Social Semantics [chapter]

Harith Alani, Martin Szomszor, Ciro Cattuto, Wouter Van den Broeck, Gianluca Correndo, Alain Barrat
2009 Lecture Notes in Computer Science  
from wearable sensors.  ...  to explore and connect with other participants.  ...  The authors thank Milosch Meriac from Bitmanufaktur, and also Alexander Wahler from STI Int. for supporting our launch at ESWC09.  ... 
doi:10.1007/978-3-642-04930-9_44 fatcat:tw66julha5d7nijdatacutt7ge

Augmented Understanding and Automated Adaptation of Curation Rules [article]

Alireza Tabebordbar
2020 arXiv   pre-print
Data curation enables decision-makers and data analyst to extract value and derive insight from the raw data.  ...  Besides, deriving insight require analysts to spend a long period of time to scan and analyze the curation environments.  ...  The information in YAGO is obtained from Wikipedia, wordNet, GeoNames and linked to several ontologies including DBpedia and SUMO.  ... 
arXiv:2007.08710v1 fatcat:cw4ka6pzw5ev3hlfidpfllv5sy

Social Network-based Entity Extraction for People Ontology

Tian Tian, Soon Chun
unpublished
For a prototype of the OSWS system, we developed an ontology by mining person names and retrieving data from resources such as DBpedia. However, DBpedia is incomplete and often outdated.  ...  Specifically, personal profile attributes and their values of famous people are extracted from public social networks pages, cleaned and mapped to the ontology, resulting in a significant increase of the  ...  In the future, we plan to extend the People Ontology by mining knowledge from other social networks, such as Twitter, LinkedIn and MySpace.  ... 
fatcat:podtmnvaibbmhabvpupj2k4xiu

A SURVEY ON COMPREHENSIVE TRENDS IN RECOMMENDATION SYSTEMS & APPLICATIONS

Ssvr Kumar Addagarla
2019 International Journal of Electronic Commerce Studies  
Recommendation System (RS) gains considerable popularity from the past decade in E-Commerce and other allied fields.  ...  This paper wellelaborated for the past, present and future scope of the Recommendation System which would be useful for researchers to get familiarity with this domain.  ...  , web conferences, Facebook, Twitter, and LinkedIn.  ... 
doi:10.7903/ijecs.1705 fatcat:puqvc6uhd5dhppuatartqqq6ki
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