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Entity Resolution (ER) is the problem of determining when two entities refer to the same underlying entity.
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On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices
Ravi Kiran Selvam and Mayank Kejriwal. 2020 · 2007
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Swoosh: a generic approach to entity resolution
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Discovering and maintaining links on the web of data. In International Semantic Web Conference . Springer, 650–665
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Entity resolution with iterative blocking. In Proceedings of the 2009 ACM SIGMOD International Conference on Management of data . 219–232
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Frameworks for entity matching: A comparison
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Evaluation of entity resolution approaches on real-world match problems
Hanna Köpcke, Andreas Thor, and Erhard Rahm. 2010 · 2010
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Evaluating entity resolution results
David Menestrina, Steven Euijong Whang, and Hector Garcia-Molina. 2010 · 2010
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Semantic web for the working ontologist: effective modeling in RDFS and OWL
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A survey of indexing techniques for scalable record linkage and deduplication
Peter Christen. 2011 · 2011
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Do Fine-tuned Commonsense Language Models Really Generalize?
Mayank Kejriwal and Ke Shen. 2020 · 2011
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Ontology matching: state of the art and future challenges
Pavel Shvaiko and Jérôme Euzenat. 2011 · 2011
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The data matching process
Peter Christen. 2012 · 2012
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Instance-based matching of large ontologies using locality-sensitive hashing. In International Semantic Web Conference . Springer, 49–64
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Unsupervised and transfer learning challenge: a deep learning approach. In Proceedings of ICML Workshop on Unsupervised and Transfer Learning . JMLR Workshop and Conference Proceedings, 97–110
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A blocking framework for entity resolution in highly heterogeneous information spaces
George Papadakis, Ekaterini Ioannou, Themis Palpanas, Claudia Niederée, and Wolfgang Nejdl. 2012 · 2012
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The Soundex phonetic algorithm revisited for SMS text representation. In International Conference on Text, Speech and Dialogue . Springer, 47–55
David Pinto, Darnes Vilariño, Yuridiana Alemán, Helena Gómez, Nahun Loya, and Héctor Jiménez-Salazar. 2012 · 2012
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A machine learning approach for instance matching based on similarity metrics. In International Semantic Web Conference . Springer, 460–475
Shu Rong, Xing Niu, Evan Wei Xiang, Haofen Wang, Qiang Yang, and Yong Yu. 2012 · 2012
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An unsupervised algorithm for learning blocking schemes. In 2013 IEEE 13th International Conference on Data Mining . IEEE, 340–349
Mayank Kejriwal and Daniel P Miranker. 2013 · 2013
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Typimatch: type-specific unsupervised learning of keys and key values for heterogeneous web data integration. In Proceedings of the sixth ACM international conference on Web search and data mining . 325–334
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Coala–correlation-aware active learning of link specifications. In Extended Semantic Web Conference . Springer, 442–456
Axel-Cyrille Ngonga Ngomo, Klaus Lyko, and Victor Christen. 2013 · 2013
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Ultrawrap: SPARQL execution on relational data
Juan F Sequeda and Daniel P Miranker. 2013 · 2013
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Populating Entity Name Systems for Big Data Integration. In The Semantic Web - ISWC 2014 - 13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part II (Lecture Notes in Computer Science, Vol. 8797) , Peter Mika, Tania Tudorache, Abraham Bernstein, Chris Welty, Craig A. Knoblock, Denny Vrandecic, Paul Groth, Natasha F. Noy, Krzysztof Janowicz, and Carole A. Goble (Eds.). Springer, 521–528
Mayank Kejriwal. 2014 · 2014
Cited alongside, same era.
On Linking Heterogeneous Dataset Collections. In Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference, ISWC 2014, Riva del Garda, Italy, October 21, 2014 (CEUR Workshop Proceedings, Vol. 1272) , Matthew Horridge, Marco Rospocher, and Jacco van Ossenbruggen (Eds.). CEUR-WS.org, 217–220
Mayank Kejriwal and Daniel P. Miranker. 2014a · 2014
Cited alongside, same era.
A two-step blocking scheme learner for scalable link discovery
Mayank Kejriwal and Daniel P Miranker. 2014b · 2014
Cited alongside, same era.
Network-theoretic information extraction quality assessment in the human trafficking domain
Mayank Kejriwal and Rahul Kapoor. 2019 · 2019
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Knowledge graphs: Construction, management and querying
Mayank Kejriwal, Juan F. Sequeda, and Vanessa Lopez. 2019a · 2019
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Expert-Guided Entity Extraction using Expressive Rules. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019 , Benjamin Piwowarski, Max Chevalier, Éric Gaussier, Yoelle Maarek, Jian-Yun Nie, and Falk Scholer (Eds.). ACM, 1353–1356
Mayank Kejriwal, Runqi Shao, and Pedro A. Szekely. 2019b · 2019
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Co-LOD: Continuous Space Linked Open Data. In Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 26-30, 2019 (CEUR Workshop Proceedings, Vol. 2456) , Mari Carmen Suárez-Figueroa, Gong Cheng, Anna Lisa Gentile, Christophe Guéret, C. Maria Keet, and Abraham Bernstein (Eds.). CEUR-WS.org, 333–337
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A comparison of supervised learning classifiers for link discovery. In Proceedings of the 10th international conference on semantic systems . 41–44
Tommaso Soru and Axel-Cyrille Ngonga Ngomo. 2014 · 2014
Cited alongside, same era.
Schema matching over relations, attributes, and data values. In Proceedings of the 26th International Conference on Scientific and Statistical Database Management . 1–12
Aibo Tian, Mayank Kejriwal, and Daniel P Miranker. 2014 · 2014
Cited alongside, same era.
Entity resolution in the web of data
Vassilis Christophides, Vasilis Efthymiou, and Kostas Stefanidis. 2015 · 2015
Cited alongside, same era.
Entity Resolution in a Big Data Framework. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA , Blai Bonet and Sven Koenig (Eds.). AAAI Press, 4243–4244
Mayank Kejriwal. 2015a · 2015
Cited alongside, same era.
Sorted Neighborhood for the Semantic Web. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA , Blai Bonet and Sven Koenig (Eds.). AAAI Press, 4174–4175
Mayank Kejriwal. 2015b · 2015
Cited alongside, same era.
A pipeline for extracting and deduplicating domain-specific knowledge bases. In 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29 - November 1, 2015 . IEEE Computer Society, 1144–1153
Mayank Kejriwal, Qiaoling Liu, Ferosh Jacob, and Faizan Javed. 2015 · 2015
Cited alongside, same era.
Decision-Making Bias in Instance Matching Model Selection. In The Semantic Web - ISWC 2015 - 14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part I (Lecture Notes in Computer Science, Vol. 9366) , Marcelo Arenas, Óscar Corcho, Elena Simperl, Markus Strohmaier, Mathieu d’Aquin, Kavitha Srinivas, Paul Groth, Michel Dumontier, Jeff Heflin, Krishnaprasad Thirunarayan, and Steffen Staab (Eds.). Springer, 392–407
Mayank Kejriwal and Daniel P. Miranker. 2015a · 2015
Cited alongside, same era.
A DNF Blocking Scheme Learner for Heterogeneous Datasets
Mayank Kejriwal and Daniel P. Miranker. 2015b · 2015
Cited alongside, same era.
Minimally Supervised Instance Matching: An Alternate Approach. In The Semantic Web: ESWC 2015 Satellite Events - ESWC 2015 Satellite Events Portorož, Slovenia, May 31 - June 4, 2015, Revised Selected Papers (Lecture Notes in Computer Science, Vol. 9341) , Fabien Gandon, Christophe Guéret, Serena Villata, John G. Breslin, Catherine Faron-Zucker, and Antoine Zimmermann (Eds.). Springer, 72–76
Mayank Kejriwal and Daniel P. Miranker. 2015c · 2015
Cited alongside, same era.
Mayank Kejriwal and Pedro A. Szekely. 2019a · 2019
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myDIG: Personalized Illicit Domain-Specific Knowledge Discovery with No Programming
Mayank Kejriwal and Pedro A. Szekely. 2019b · 2019
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Proceedings of the 10th International Conference on Knowledge Capture, K-CAP 2019, Marina Del Rey, CA, USA, November 19-21, 2019 . ACM
Mayank Kejriwal, Pedro A. Szekely, and Raphaël Troncy (Eds.). 2019c · 2019
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Low-supervision urgency detection and transfer in short crisis messages. In ASONAM ’19: International Conference on Advances in Social Networks Analysis and Mining, Vancouver, British Columbia, Canada, 27-30 August, 2019 , Francesca Spezzano, Wei Chen, and Xiaokui Xiao (Eds.). ACM, 353–356
Mayank Kejriwal and Peilin Zhou. 2019a · 2019
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SAVIZ: interactive exploration and visualization of situation labeling classifiers over crisis social media data. In ASONAM ’19: International Conference on Advances in Social Networks Analysis and Mining, Vancouver, British Columbia, Canada, 27-30 August, 2019 , Francesca Spezzano, Wei Chen, and Xiaokui Xiao (Eds.). ACM, 705–708
Mayank Kejriwal and Peilin Zhou. 2019b · 2019
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Concept drift in bias and sensationalism detection: an experimental study. In ASONAM ’19: International Conference on Advances in Social Networks Analysis and Mining, Vancouver, British Columbia, Canada, 27-30 August, 2019 , Francesca Spezzano, Wei Chen, and Xiaokui Xiao (Eds.). ACM, 601–604
Shuo Zhang and Mayank Kejriwal. 2019 · 2019
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A meta-engine for building domain-specific search engines
Mayank Kejriwal. 2021b · 2020
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Structural studies of the global networks exposed in the Panama papers
Mayank Kejriwal and Akarsh Dang. 2020 · 2020
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Network-theoretic modeling of complex activity using UK online sex advertisements
Mayank Kejriwal and Yao Gu. 2020 · 2020
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Locally Constructing Product Taxonomies from Scratch Using Representation Learning. In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020, The Hague, Netherlands, December 7-10, 2020 , Martin Atzmüller, Michele Coscia, and Rokia Missaoui (Eds.). IEEE, 507–514
Mayank Kejriwal, Ravi Kiran Selvam, Chien-Chun Ni, and Nicolas Torzec. 2020 · 2020
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On detecting urgency in short crisis messages using minimal supervision and transfer learning
Mayank Kejriwal and Peilin Zhou. 2020 · 2020
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Knowledge graph
Guilin Qi, Huajun Chen, Kang Liu, Haofen Wang, Qiu Ji, and Tianxing Wu. 2020 · 2020
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Anaphora and coreference resolution: A review
Rhea Sukthanker, Soujanya Poria, Erik Cambria, and Ramkumar Thirunavukarasu. 2020 · 2020
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Knowledge Graphs for Explainable Artificial Intelligence: Foundations, Applications and Challenges
Ilaria Tiddi, Freddy Lécué, and Pascal Hitzler. 2020 · 2020
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Marina Haliem, Trevor Bonjour, Aala Oqab Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Bharat K. Bhargava, and Mayank Kejriwal. 2021 · 2021
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Socioeconomic Correlates of Anti-Science Attitudes in the US
Minda Hu, Ashwin Rao, Mayank Kejriwal, and Kristina Lerman. 2021 · 2021
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Link Prediction Between Structured Geopolitical Events: Models and Experiments
Mayank Kejriwal. 2021a · 2021
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Unsupervised DNF Blocking for Efficient Linking of Knowledge Graphs and Tables
Mayank Kejriwal. 2021c · 2021
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A Feasibility Study of Open-Source Sentiment Analysis and Text Classification Systems on Disaster-Specific Social Media Data. In IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021 . IEEE, 1–8
Mayank Kejriwal, Ge Fang, and Ying Zhou. 2021a · 2021
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Empirical Best Practices On Using Product-Specific Schema.org. In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021 . AAAI Press, 15452–15457
Mayank Kejriwal, Ravi Kiran Selvam, Chien-Chun Ni, and Nicolas Torzec. 2021c · 2021
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An evaluation and annotation methodology for product category matching in e-commerce
Mayank Kejriwal, Ke Shen, Chien-Chun Ni, and Nicolas Torzec. 2021d · 2021
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Transfer-based taxonomy induction over concept labels
Mayank Kejriwal, Ke Shen, Chien-Chun Ni, and Nicolas Torzec. 2022b · 2021
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A multi-agent simulator for generating novelty in monopoly
Mayank Kejriwal and Shilpa Thomas. 2021 · 2021
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An empirical study of emoji usage on Twitter in linguistic and national contexts
Mayank Kejriwal, Qile Wang, Hongyu Li, and Lu Wang. 2021e · 2021
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Understanding COVID-19 Vaccine Reaction through Comparative Analysis on Twitter
Yuesheng Luo and Mayank Kejriwal. 2021 · 2021
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A Geo-Tagged COVID-19 Twitter Dataset for 10 North American Metropolitan Areas over a 255-Day Period
Sara Melotte and Mayank Kejriwal. 2021a · 2021
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Sara Melotte and Mayank Kejriwal. 2021b · 2021
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On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models. In Artificial Intelligence XXXVIII - 41st SGAI International Conference on Artificial Intelligence, AI 2021, Cambridge, UK, December 14-16, 2021, Proceedings (Lecture Notes in Computer Science, Vol. 13101) , Max Bramer and Richard Ellis (Eds.). Springer, 3–16
Ke Shen and Mayank Kejriwal. 2021 · 2021
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Knowledge Graphs: A Practical Review of the Research Landscape
Mayank Kejriwal. 2022 · 2022
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On the Empirical Association between Trade Network Complexity and Global Gross Domestic Product
Mayank Kejriwal and Yuesheng Luo. 2022 · 2022
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Designing a strong test for measuring true common-sense reasoning
Mayank Kejriwal, Henrique Santos, Alice M. Mulvehill, and Deborah L. McGuinness. 2022a · 2022
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Mayank Kejriwal and Ke Shen. 2022 · 2022
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Understanding COVID-19 Vaccine Reaction Through Comparative Analysis on Twitter. In Intelligent Computing - Proceedings of the 2022 Computing Conference, Volume 1, SAI 2022, Virtual Event, 14-15 July 2022 (Lecture Notes in Networks and Systems, Vol. 506) , Kohei Arai (Ed.). Springer, 846–864
Yuesheng Luo and Mayank Kejriwal. 2022 · 2022
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Ke Shen and Mayank Kejriwal. 2022a · 2022
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Understanding Substructures in Commonsense Relations in ConceptNet
Ke Shen and Mayank Kejriwal. 2022b · 2022
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Can Language Representation Models Think in Bets?
Zhisheng Tang and Mayank Kejriwal. 2022 · 2022
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Proceedings of the 1st International Workshop on Knowledge Graph Generation From Text and the 1st International Workshop on Modular Knowledge co-located with 19th Extended Semantic Conference (ESWC 2022), Hersonissos, Greece, May 30th, 2022 . CEUR Workshop Proceedings, Vol. 3184. CEUR-WS.org
Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D’Souza, Mayank Kejriwal, Loris Bozzato, Valentina Anita Carriero, Torsten Hahmann, and Antoine Zimmermann (Eds.). 2022 · 2022
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Artificial Intelligence for Industries of the Future - Beyond Facebook, Amazon, Microsoft and Google
Mayank Kejriwal. 2023 · 2023
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