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Bias in Knowledge Graphs – an Empirical Study with Movie Recommendation and Different Language Editions of DBpedia [article]

Michael Matthias Voit, Heiko Paulheim
2021 arXiv   pre-print
Particularly, we use different language editions of DBpedia.  ...  We show that the usage of different knowledge graphs does not only lead to differently biased recommender systems, but also to recommender systems that differ in performance for particular fields of recommendations  ...  In a preliminary study, we looked at the ten largest language editions of DBpedia 3 , and analyzed the overlap with the 3,123 movies in our dataset linked to the English DBpedia.  ... 
arXiv:2105.00674v1 fatcat:phea5b6tc5gx3ltgr655h5y2h4

Bias in Knowledge Graphs - An Empirical Study with Movie Recommendation and Different Language Editions of DBpedia

Michael Matthias Voit, Heiko Paulheim, Dagmar Gromann, Gilles Sérasset, Thierry Declerck, John P. McCrae, Jorge Gracia, Julia Bosque-Gil, Fernando Bobillo, Barbara Heinisch
2021
Particularly, we use different language editions of DBpedia.  ...  We show that the usage of different knowledge graphs does not only lead to differently biased recommender systems, but also to recommender systems that differ in performance for particular fields of recommendations  ...  In a preliminary study, we looked at the ten largest language editions of DBpedia 3 , and analyzed the overlap with the 3,123 movies in our dataset linked to the English DBpedia.  ... 
doi:10.4230/oasics.ldk.2021.14 fatcat:ieeofqscfrbrdcrbcqpbqqcnu4

Aemoo: Linked Data exploration based on Knowledge Patterns

Andrea Giovanni Nuzzolese, Valentina Presutti, Aldo Gangemi, Silvio Peroni, Paolo Ciancarini, Aba-Sah Dadzie, Emmanuel Pietriga, Aba-Sah Dadzie, Emmanuel Pietriga
2016 Semantic Web Journal  
EKP are discovered by mining the linking structure of Wikipedia and evaluated by means of a user-based study, which shows that they are cognitively sound as models for building entity summarisations.  ...  Aemoo is evaluated by means of controlled, task-driven user experiments in order to assess its usability, and ability to provide relevant and serendipitous information as compared to two existing tools  ...  MORE [33] leverages DBpedia, Freebase and Linked-MDB in order to recommend movies. It computes sim-ilarities between movies thanks to an adaptation of the Vector Space Model (VSM).  ... 
doi:10.3233/sw-160222 fatcat:7jfqevtwv5dr5h5w6zokkkok2q

Learning Knowledge Using Frequent Subgraph Mining from Ontology Graph Data

Kwangyon Lee, Haemin Jung, June Seok Hong, Wooju Kim
2021 Applied Sciences  
In many areas, vast amounts of information are rapidly accumulating in the form of ontology-based knowledge graphs, and the use of information in these forms of knowledge graphs is becoming increasingly  ...  This study is meaningful in that it proposed an efficient method for extracting frequent subgraphs while maintaining semantic information and considering scalability in large-scale graphs.  ...  Using Linked Open Data (LOD) knowledge base such as "DBpedia", Recommender System with LOD (RS-LOD) model for cold start issue and Matrix Factorization model with LOD (MF-LOD) for data sparsity problem  ... 
doi:10.3390/app11030932 fatcat:bfvtqizsa5f37n3xpddfnqqsry

An Industry Evaluation of Embedding-based Entity Alignment [article]

Ziheng Zhang and Jiaoyan Chen and Xi Chen and Hualuo Liu and Yuejia Xiang and Bo Liu and Yefeng Zheng
2020 arXiv   pre-print
In this study, we evaluate those state-of-the-art methods in an industrial context, where the impact of seed mappings with different sizes and different biases is explored.  ...  Besides the popular benchmarks from DBpedia and Wikidata, we contribute and evaluate a new industrial benchmark that is extracted from two heterogeneous knowledge graphs (KGs) under deployment for medical  ...  AG, and the EPSRC projects AnaLOG (EP/P025943/1), OASIS (EP/S032347/1) and UK FIRES (EP/S019111/1).  ... 
arXiv:2010.11522v2 fatcat:idkqabg6ubeh3o6poji35pbdke

Knowledge Extraction And Representation Learning For Music Recommendation And Classification

Sergio Oramas, Xavier Serra
2017 Zenodo  
In this thesis, we address the problems of classifying and recommending music present in large collections.  ...  To this end, we first focus on the problem of linking music-related texts with online knowledge repositories and on the automated construction of music knowledge bases.  ...  Figure 7 . 1 : 71 Portion of the final knowledge graph enriched with WordNet and DBpedia Figure 7 . 2 : 72 An example of 3-hop item neighborhood graph for the item i.  ... 
doi:10.5281/zenodo.1048497 fatcat:kdh5jhvocbh3riwln6n2f756su

Knowledge Extraction And Representation Learning For Music Recommendation And Classification

Sergio Oramas, Xavier Serra
2017 Zenodo  
In this thesis, we address the problems of classifying and recommending music present in large collections.  ...  To this end, we first focus on the problem of linking music-related texts with online knowledge repositories and on the automated construction of music knowledge bases.  ...  Figure 7 . 1 : 71 Portion of the final knowledge graph enriched with WordNet and DBpedia Figure 7 . 2 : 72 An example of 3-hop item neighborhood graph for the item i.  ... 
doi:10.5281/zenodo.1100973 fatcat:yfpmc6qxbbakjp6qzvywyoaoci

Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO

Michael Färber, Frederic Bartscherer, Carsten Menne, Achim Rettinger, Amrapali Zaveri, Dimitris Kontokostas, Sebastian Hellmann, Jürgen Umbrich, Amrapali Zaveri, Dimitris Kontokostas, Sebastian Hellmann, Jürgen Umbrich
2017 Semantic Web Journal  
In recent years, several noteworthy large, cross-domain, and openly available knowledge graphs (KGs) have been created. These include DBpedia, Freebase, OpenCyc, Wikidata, and YAGO.  ...  Although extensively in use, these KGs have not been subject to an in-depth comparison so far.  ...  Conclusion Freely available knowledge graphs (KGs) have not been in the focus of any extensive comparative study so far.  ... 
doi:10.3233/sw-170275 fatcat:keib3qfklnhspabr4xtvauc3ve

Technology-Powered Strategies to Rethink the Pedagogy of History and Cultural Heritage through Symmetries and Narratives

Martín López-Nores, Omar Bravo-Quezada, Maddalena Bassani, Angeliki Antoniou, Ioanna Lykourentzou, Catherine Jones, Kalliopi Kontiza, Silvia González-Soutelo, Susana Reboreda-Morillo, Yannick Naudet, Andreas Vlachidis, Antonis Bikakis (+1 others)
2019 Symmetry  
Recent advances in semantic web and deep learning technologies enable new means for the computational analysis of vast amounts of information from the field of digital humanities.  ...  We discuss how some of the techniques can be used to identify historical and cultural symmetries between different characters, locations, events or venues, and how these can be harnessed to develop new  ...  Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/sym11030367 fatcat:37iiiwh4jrbe3hnzr6ndfzdmla

Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web (Dagstuhl Seminar 18371)

Piero Andrea Bonatti, Stefan Decker, Axel Polleres, Valentina Presutti, Michael Wagner
2019 Dagstuhl Reports  
The increasingly pervasive nature of the Web, expanding to devices and things in everyday life, along with new trends in Artificial Intelligence call for new paradigms and a new look on Knowledge Representation  ...  The emerging, but still to be concretely shaped concept of "Knowledge Graphs" provides an excellent unifying metaphor for this current status of Semantic Web research.  ...  Acknowledgements The editors are grateful to Michael Cochez for his valuable contributions to the planning and organization of this workshop. He was in all respects the fifth organizer.  ... 
doi:10.4230/dagrep.8.9.29 dblp:journals/dagstuhl-reports/BonattiDPP18 fatcat:z4lkmofnavf67c5v2sye2x2zle

Enhanced vector space models for content-based recommender systems

Cataldo Musto
2010 Proceedings of the fourth ACM conference on Recommender systems - RecSys '10  
[FGE03] George Forman, Isabelle Guyon, and André Elisseeff. An extensive empirical study of feature selection metrics for text classification.  ...  characteristics (e.g. an Italian and an English docu- mentary might refer to the same topic but their plots could be written in two different languages).  ... 
doi:10.1145/1864708.1864791 dblp:conf/recsys/Musto10 fatcat:btpepieksvdrtpgdihskllxc34

Wikiometrics: A Wikipedia Based Ranking System [article]

Gilad Katz, Lior Rokach
2016 arXiv   pre-print
We demonstrate an innovative mining methodology, where different elements of Wikipedia - content, structure, editorial actions and reader reviews - are used to rank items in a manner which is by no means  ...  Wikipedia provides an accurate representation of the real world due to its size, structure, editing policy and popularity.  ...  It should be noted that this bias exists despite the fact that DBpedia, which is used in this research, includes localized versions of Wikipedia in 111 languages.  ... 
arXiv:1601.01058v2 fatcat:2t75wgu3wzab5knkrw7ntwfxfq

Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases [article]

Gerhard Weikum, Luna Dong, Simon Razniewski, Fabian Suchanek
2021 arXiv   pre-print
Case studies on academic projects and industrial knowledge graphs complement the survey of concepts and methods.  ...  Equipping machines with comprehensive knowledge of the world's entities and their relationships has been a long-standing goal of AI.  ...  It is a great pleasure and honor to have such wonderful colleagues in our research community.  ... 
arXiv:2009.11564v2 fatcat:vh2lqfmhhbcwpf6dcsej3hhvgy

Computing controversy: Formal model and algorithms for detecting controversy on Wikipedia and in search queries

Kazimierz Zielinski, Radoslaw Nielek, Adam Wierzbicki, Adam Jatowt
2018 Information Processing & Management  
Our approach can be also applied in Wikipedia or other knowledge bases for supporting the detection of controversy and content maintenance.  ...  Finally, we believe that our results could be useful for social science researchers for understanding the complex nature of controversy and in fostering their studies.  ...  Study limitations Our study follows an empirical research methodology. In this section, we describe the limitations of our research methods, and possible ways of addressing them.  ... 
doi:10.1016/j.ipm.2017.08.005 fatcat:iu5qkr2w6fdzxne5eavjdvp3km

Building A User-Centric and Content-Driven Socialbot [article]

Hao Fang
2020 arXiv   pre-print
An important contribution of the system is the synergy between the knowledge base and the dialog management, i.e., the use of a graph structure to organize the knowledge base that makes dialog control  ...  Finally, observing that socialbots suffer from the issue of shallow conversations about topics associated with unstructured data, we study the problem of enabling extended socialbot conversations grounded  ...  For example, the movie discussion and the integration of movie knowledge into the social chat knowledge graph are primarily designed by Hao Cheng.  ... 
arXiv:2005.02623v1 fatcat:oxsgfakzbzb7njqgfileddlsry
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