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ORCIDPedro A. Szekely
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- affiliation: Amazon Alexa, CA, USA
- affiliation (former): University of Southern California, Information Sciences Institute, Los Angeles, USA
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2020 – today
- 2024
[j26]Filip Ilievski, Kartik Shenoy
, Hans Chalupsky, Nicholas Klein, Pedro A. Szekely:
A study of concept similarity in Wikidata. Semantic Web 15(3): 877-896 (2024)- [c130]Kexuan Sun, Nicolaas Paul Jedema, Karishma Sharma, Ruben Janssen, Jay Pujara, Pedro A. Szekely, Alessandro Moschitti:
Efficient and Accurate Contextual Re-Ranking for Knowledge Graph Question Answering. LREC/COLING 2024: 5585-5595 - 2023
- [j25]Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas, Andrés Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V. Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, K. S. M. Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A. Szekely, Michael D. Ward, Aram Galstyan:
Hybrid forecasting of geopolitical events†. AI Mag. 44(1): 112-128 (2023) - 2022
- [j24]Mayank Kejriwal, Pedro A. Szekely:
Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain. IEEE Trans. Big Data 8(3): 592-606 (2022) - [j23]Kartik Shenoy, Filip Ilievski, Daniel Garijo, Daniel Schwabe, Pedro A. Szekely:
A study of the quality of Wikidata. J. Web Semant. 72: 100679 (2022) - [c129]Ehsan Qasemi, Filip Ilievski, Muhao Chen, Pedro A. Szekely:
PaCo: Preconditions Attributed to Commonsense Knowledge. EMNLP (Findings) 2022: 6781-6796 - [c128]Renzo Angles, Aidan Hogan, Ora Lassila, Carlos Rojas, Daniel Schwabe, Pedro A. Szekely, Domagoj Vrgoc:
Multilayer graphs: a unified data model for graph databases. GRADES-NDA@SIGMOD 2022: 11:1-11:6 - [c127]Jiang Wang, Filip Ilievski, Pedro A. Szekely, Ke-Thia Yao:
Augmenting Knowledge Graphs for Better Link Prediction. IJCAI 2022: 2277-2283 - [c126]Fei Wang, Zhewei Xu, Pedro A. Szekely, Muhao Chen:
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning. NAACL-HLT 2022: 5037-5048 - [c125]Hans Chalupsky, Pedro A. Szekely:
Hybrid Structured and Similarity Queries over Wikidata plus Embeddings with Kypher-V. Wikidata@ISWC 2022 - [c124]Nicholas Klein, Filip Ilievski, Hayden Freedman, Pedro A. Szekely:
Identifying Surprising Facts in Wikidata. Wikidata@ISWC 2022 - [c123]Bohui Zhang, Filip Ilievski, Pedro A. Szekely:
Enriching Wikidata with Linked Open Data. Wikidata@ISWC 2022 - [c122]Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [e9]Paul Groth, Maria-Esther Vidal, Fabian M. Suchanek, Pedro A. Szekely, Pavan Kapanipathi, Catia Pesquita, Hala Skaf-Molli, Minna Tamper:
The Semantic Web - 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 - June 2, 2022, Proceedings. Lecture Notes in Computer Science 13261, Springer 2022, ISBN 978-3-031-06980-2 [contents] - [i29]Ehsan Qasemi, Lee Kezar, Jay Pujara, Pedro A. Szekely:
Evaluating Machine Common Sense via Cloze Testing. CoRR abs/2201.07902 (2022) - [i28]Jiang Wang, Filip Ilievski, Pedro A. Szekely, Ke-Thia Yao:
Augmenting Knowledge Graphs for Better Link Prediction. CoRR abs/2203.13965 (2022) - [i27]Fei Wang, Zhewei Xu, Pedro A. Szekely, Muhao Chen:
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning. CoRR abs/2205.03972 (2022) - [i26]Bohui Zhang, Filip Ilievski, Pedro A. Szekely:
Enriching Wikidata with Linked Open Data. CoRR abs/2207.00143 (2022) - [i25]Tanmay Ghai, Yixiang Yao, Srivatsan Ravi, Pedro A. Szekely:
Evaluating the Feasibility of a Provably Secure Privacy-Preserving Entity Resolution Adaptation of PPJoin using Homomorphic Encryption. CoRR abs/2208.07999 (2022) - 2021
- [j22]Juan C. Roldán, Patricia Jiménez, Pedro A. Szekely, Rafael Corchuelo:
TOMATE: A heuristic-based approach to extract data from HTML tables. Inf. Sci. 577: 49-68 (2021) - [j21]Majid Ghasemi-Gol, Jay Pujara, Pedro A. Szekely:
Learning cell embeddings for understanding table layouts. Knowl. Inf. Syst. 63(1): 39-64 (2021) - [j20]Filip Ilievski, Alessandro Oltramari, Kaixin Ma, Bin Zhang, Deborah L. McGuinness, Pedro A. Szekely:
Dimensions of commonsense knowledge. Knowl. Based Syst. 229: 107347 (2021) - [c121]Yixiang Yao, Tanmay Ghai, Srivatsan Ravi, Pedro A. Szekely:
AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation. CIKM 2021: 2394-2403 - [c120]Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen:
Table-based Fact Verification With Salience-aware Learning. EMNLP (Findings) 2021: 4025-4036 - [c119]Filip Ilievski, Pedro A. Szekely, Bin Zhang:
CSKG: The CommonSense Knowledge Graph. ESWC 2021: 680-696 - [c118]Nicholas Klein, Filip Ilievski, Pedro A. Szekely:
Generating Explainable Abstractions for Wikidata Entities. K-CAP 2021: 89-96 - [c117]Jay Pujara, Pedro A. Szekely, Huan Sun, Muhao Chen:
From Tables to Knowledge: Recent Advances in Table Understanding. KDD 2021: 4060-4061 - [c116]Avijit Thawani, Jay Pujara, Filip Ilievski, Pedro A. Szekely:
Representing Numbers in NLP: a Survey and a Vision. NAACL-HLT 2021: 644-656 - [c115]Hans Chalupsky, Pedro A. Szekely, Filip Ilievski, Daniel Garijo, Kartik Shenoy:
Creating and Querying Personalized Versions of Wikidata on a Laptop. Wikidata@ISWC 2021 - [c114]Filip Ilievski, Pedro A. Szekely, Gleb Satyukov, Amandeep Singh:
User-friendly Comparison of Similarity Algorithms on Wikidata. Wikidata@ISWC 2021 - [c113]Binh Vu, Craig A. Knoblock, Pedro A. Szekely, Minh Pham, Jay Pujara:
A Graph-Based Approach for Inferring Semantic Descriptions of Wikipedia Tables. ISWC 2021: 304-320 - [c112]Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely:
Retrieving Complex Tables with Multi-Granular Graph Representation Learning. SIGIR 2021: 1472-1482 - [i24]Filip Ilievski, Alessandro Oltramari, Kaixin Ma, Bin Zhang, Deborah L. McGuinness, Pedro A. Szekely:
Dimensions of Commonsense Knowledge. CoRR abs/2101.04640 (2021) - [i23]Avijit Thawani, Jay Pujara, Pedro A. Szekely, Filip Ilievski:
Representing Numbers in NLP: a Survey and a Vision. CoRR abs/2103.13136 (2021) - [i22]Ehsan Qasemi, Filip Ilievski, Muhao Chen, Pedro A. Szekely:
CoreQuisite: Circumstantial Preconditions of Common Sense Knowledge. CoRR abs/2104.08712 (2021) - [i21]Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely:
Retrieving Complex Tables with Multi-Granular Graph Representation Learning. CoRR abs/2105.01736 (2021) - [i20]Kartik Shenoy, Filip Ilievski, Daniel Garijo, Daniel Schwabe, Pedro A. Szekely:
A Study of the Quality of Wikidata. CoRR abs/2107.00156 (2021) - [i19]Filip Ilievski, Pedro A. Szekely, Gleb Satyukov, Amandeep Singh:
User-friendly Comparison of Similarity Algorithms on Wikidata. CoRR abs/2108.05410 (2021) - [i18]Hans Chalupsky, Pedro A. Szekely, Filip Ilievski, Daniel Garijo, Kartik Shenoy:
Creating and Querying Personalized Versions of Wikidata on a Laptop. CoRR abs/2108.07119 (2021) - [i17]Yixiang Yao, Tanmay Ghai, Srivatsan Ravi, Pedro A. Szekely:
AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation. CoRR abs/2108.09879 (2021) - [i16]Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen:
Table-based Fact Verification with Salience-aware Learning. CoRR abs/2109.04053 (2021) - 2020
- [c111]Peifeng Wang, Nanyun Peng, Filip Ilievski, Pedro A. Szekely, Xiang Ren:
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering. EMNLP (Findings) 2020: 4129-4140 - [c110]Daniel Garijo, Ke-Thia Yao, Amandeep Singh, Pedro A. Szekely:
A Template-Based Approach for Annotating Long-Tail Datasets. ASLD@ISWC 2020: 97-102 - [c109]Filip Ilievski, Daniel Garijo, Hans Chalupsky, Naren Teja Divvala, Yixiang Yao, Craig Milo Rogers, Ronpeng Li, Jun Liu, Amandeep Singh, Daniel Schwabe, Pedro A. Szekely:
KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis. ISWC (2) 2020: 278-293 - [c108]Filip Ilievski, Pedro A. Szekely, Daniel Schwabe:
Commonsense Knowledge in Wikidata. Wikidata@ISWC 2020 - [i15]Peifeng Wang, Nanyun Peng, Pedro A. Szekely, Xiang Ren:
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering. CoRR abs/2005.00691 (2020) - [i14]Filip Ilievski, Daniel Garijo, Hans Chalupsky, Naren Teja Divvala, Yixiang Yao, Craig Milo Rogers, Ronpeng Li, Jun Liu, Amandeep Singh, Daniel Schwabe, Pedro A. Szekely:
KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis. CoRR abs/2006.00088 (2020) - [i13]Filip Ilievski, Pedro A. Szekely, Jingwei Cheng, Fu Zhang, Ehsan Qasemi:
Consolidating Commonsense Knowledge. CoRR abs/2006.06114 (2020) - [i12]Filip Ilievski, Pedro A. Szekely, Daniel Schwabe:
Commonsense Knowledge in Wikidata. CoRR abs/2008.08114 (2020) - [i11]Filip Ilievski, Pedro A. Szekely, Bin Zhang:
CSKG: The CommonSense Knowledge Graph. CoRR abs/2012.11490 (2020)
2010 – 2019
- 2019
- [j19]Mayank Kejriwal, Pedro A. Szekely:
myDIG: Personalized Illicit Domain-Specific Knowledge Discovery with No Programming. Future Internet 11(3): 59 (2019) - [c107]Majid Ghasemi-Gol, Jay Pujara, Pedro A. Szekely:
Tabular Cell Classification Using Pre-Trained Cell Embeddings. ICDM 2019: 230-239 - [c106]Fred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin, Andrés Abeliuk, Mehrnoosh Mirtaheri, K. S. M. Tozammel Hossain, Pedro A. Szekely, Emilio Ferrara, Akira Matsui, Mark Steyvers, Stephen Bennett, David V. Budescu, Mark Himmelstein, Michael D. Ward, Andreas Beger, Michele Catasta, Rok Sosic, Jure Leskovec, Pavel Atanasov, Regina Joseph, Rajiv Sethi, Ali E. Abbas:
SAGE: A Hybrid Geopolitical Event Forecasting System. IJCAI 2019: 6557-6559 - [c105]Daniel Garijo, Pedro A. Szekely:
WDPlus: Leveraging Wikidata to Link and Extend Tabular Data (short paper). SciKnow@K-CAP 2019: 37-39 - [c104]Pedro A. Szekely, Daniel Garijo, Divij Bhatia, Jiasheng Wu, Yixiang Yao, Jay Pujara:
T2WML: Table To Wikidata Mapping Language. K-CAP 2019: 267-270 - [c103]Yike Liu, Linhong Zhu, Pedro A. Szekely, Aram Galstyan, Danai Koutra:
Coupled Clustering of Time-Series and Networks. SDM 2019: 531-539 - [c102]Avijit Thawani, Minda Hu, Erdong Hu, Husain Zafar, Naren Teja Divvala, Amandeep Singh, Ehsan Qasemi, Pedro A. Szekely, Jay Pujara:
Entity Linking to Knowledge Graphs to Infer Column Types and Properties. SemTab@ISWC 2019: 25-32 - [c101]Pedro A. Szekely, Daniel Garijo, Jay Pujara, Divij Bhatia, Jiasheng Wu:
T2WML: A Cell-Based Language to Map Tables into Wikidata Records. ISWC (Satellites) 2019: 45-48 - [c100]Constantine Lignos, Chester Palen-Michel, Oskar Singer, Pedro A. Szekely, Elizabeth Boschee:
Real-World Causal Relationship Discovery from Text. ISWC (Satellites) 2019: 101-104 - [c99]Jay Pujara, Arunkumar Rajendran, Majid Ghasemi-Gol, Pedro A. Szekely:
A Common Framework for Developing Table Understanding Models. ISWC (Satellites) 2019: 133-136 - [c98]Mayank Kejriwal, Pedro A. Szekely:
Co-LOD: Continuous Space Linked Open Data. ISWC (Satellites) 2019: 333-337 - [c97]Mayank Kejriwal, Runqi Shao, Pedro A. Szekely:
Expert-Guided Entity Extraction using Expressive Rules. SIGIR 2019: 1353-1356 - [c96]Yixiang Yao, Pedro A. Szekely, Jay Pujara:
Extensible and Scalable Entity Resolution for Financial Datasets Using RLTK. DSMM@SIGMOD 2019: 11:1 - [e8]Mayank Kejriwal, Pedro A. Szekely, Raphaël Troncy:
Proceedings of the 10th International Conference on Knowledge Capture, K-CAP 2019, Marina Del Rey, CA, USA, November 19-21, 2019. ACM 2019, ISBN 978-1-4503-7008-0 [contents] - [i10]Manling Li, Ying Lin, Ananya Subburathinam, Spencer Whitehead, Xiaoman Pan, Di Lu, Qingyun Wang, Tongtao Zhang, Lifu Huang, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Bo Wu, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Yixiang Yao, Jennifer Chen, Eric Berquist, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro A. Szekely, T. K. Satish Kumar, Arka Sadhu, Ram Nevatia, Miguel E. Rodríguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang:
GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC 2019 - [i9]Woojeong Jin, Changlin Zhang, Pedro A. Szekely, Xiang Ren:
Recurrent Event Network for Reasoning over Temporal Knowledge Graphs. CoRR abs/1904.05530 (2019) - 2018
- [j18]Mayank Kejriwal, Pedro A. Szekely, Craig A. Knoblock:
Investigative Knowledge Discovery for Combating Illicit Activities. IEEE Intell. Syst. 33(1): 53-63 (2018) - [c95]Mayank Kejriwal, Pedro A. Szekely:
Constructing Domain-Specific Search Engines With No Programming. AAAI 2018: 8204-8205 - [c94]Mayank Kejriwal, Pedro A. Szekely:
Technology-assisted Investigative Search: A Case Study from an Illicit Domain. CHI Extended Abstracts 2018 - [c93]Mayank Kejriwal, Jing Peng, Haotian Zhang, Pedro A. Szekely:
Structured Event Entity Resolution in Humanitarian Domains. ISWC (1) 2018: 233-249 - [c92]Mayank Kejriwal, Daniel Gilley, Pedro A. Szekely, Jill Crisman:
THOR: Text-enabled Analytics for Humanitarian Operations. WWW (Companion Volume) 2018: 147-150 - [c91]Pedro A. Szekely, Mayank Kejriwal:
Domain-specific Insight Graphs (DIG). WWW (Companion Volume) 2018: 433-434 - [i8]Tongtao Zhang, Ananya Subburathinam, Ge Shi, Lifu Huang, Di Lu, Xiaoman Pan, Manling Li, Boliang Zhang, Qingyun Wang, Spencer Whitehead, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Ruiqi Zhong, Steven Shao, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Dongyu Li, Xin Huang, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Mayank Kejriwal, Ram Nevatia, Pedro A. Szekely, T. K. Satish Kumar, Ali Sadeghian, Giacomo Bergami, Sourav Dutta, Miguel E. Rodríguez, Daisy Zhe Wang:
GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC 2018 - [i7]Majid Ghasemi-Gol, Pedro A. Szekely:
TabVec: Table Vectors for Classification of Web Tables. CoRR abs/1802.06290 (2018) - 2017
- [j17]Mayank Kejriwal, Pedro A. Szekely:
Scalable Generation of Type Embeddings Using the ABox. Open J. Semantic Web 4(1): 20-34 (2017) - [c90]Mayank Kejriwal, Pedro A. Szekely:
Neural Embeddings for Populated Geonames Locations. ISWC (2) 2017: 139-146 - [c89]Mayank Kejriwal, Pedro A. Szekely:
An Investigative Search Engine for the Human Trafficking Domain. ISWC (2) 2017: 247-262 - [c88]Mayank Kejriwal, Thomas Schellenberg, Pedro A. Szekely:
A Semantic Search Engine For Investigating Human Trafficking. ISWC (Posters, Demos & Industry Tracks) 2017 - [c87]Craig A. Knoblock, Pedro A. Szekely, Eleanor E. Fink, Duane Degler, David Newbury, Robert Sanderson, Kate Blanch, Sara Snyder, Nilay Chheda, Nimesh Jain, Ravi Raju Krishna, Nikhila Begur Sreekanth, Yixiang Yao:
Lessons Learned in Building Linked Data for the American Art Collaborative. ISWC (2) 2017: 263-279 - [c86]Craig A. Knoblock, Pedro A. Szekely, Eleanor E. Fink, Duane Degler, David Newbury, Robert Sanderson, Kate Blanch, Sara Snyder, Nilay Chheda, Nimesh Jain, Ravi Raju Krishna, Nikhila Begur Sreekanth, Yixiang Yao:
A Demonstration of Tools for Building Linked Data for the American Art Collaborative. ISWC (Posters, Demos & Industry Tracks) 2017 - [c85]Rahul Kapoor, Mayank Kejriwal, Pedro A. Szekely:
Using contexts and constraints for improved geotagging of human trafficking webpages. GeoRich@SIGMOD 2017: 3:1-3:6 - [c84]Mayank Kejriwal, Pedro A. Szekely:
Supervised typing of big graphs using semantic embeddings. SBD@SIGMOD 2017: 3:1-3:6 - [c83]Eric Heiden, Gerard Hoberg, Craig A. Knoblock, Palak Modi, Gordon Phillips, Gaurangi Raul, Pedro A. Szekely:
Web Text-based Network Industry Classifications: Preliminary Results. DSMM@SIGMOD 2017: 4:1-4:3 - [c82]Mayank Kejriwal, Pedro A. Szekely:
Information Extraction in Illicit Web Domains. WWW 2017: 997-1006 - [e7]Sarven Capadisli, Franck Cotton, Xin Luna Dong, Ramanathan V. Guha, Armin Haller, Pascal Hitzler, Evangelos Kalampokis, Mayank Kejriwal, Freddy Lécué, D. Sivakumar, Pedro A. Szekely, Raphaël Troncy, Michael Witbrock:
Joint Proceedings of the International Workshops on Hybrid Statistical Semantic Understanding and Emerging Semantics, and Semantic Statistics co-located with 16th International Semantic Web Conference, HybridSemStats@ISWC 2017, Vienna, Austria October 22nd, 2017. CEUR Workshop Proceedings, CEUR-WS.org 2017 [contents] - [i6]Mayank Kejriwal, Pedro A. Szekely:
Information Extraction in Illicit Domains. CoRR abs/1703.03097 (2017) - [i5]Mayank Kejriwal, Pedro A. Szekely:
Supervised Typing of Big Graphs using Semantic Embeddings. CoRR abs/1703.07805 (2017) - [i4]Rahul Kapoor, Mayank Kejriwal, Pedro A. Szekely:
Using Contexts and Constraints for Improved Geotagging of Human Trafficking Webpages. CoRR abs/1704.05569 (2017) - [i3]Mayank Kejriwal, Jiayuan Ding, Runqi Shao, Anoop Kumar, Pedro A. Szekely:
FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining. CoRR abs/1712.03086 (2017) - 2016
- [j16]Mohsen Taheriyan, Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite:
Learning the semantics of structured data sources. J. Web Semant. 37-38: 152-169 (2016) - [c81]Gleb Gawriljuk, Andreas Harth, Craig A. Knoblock, Pedro A. Szekely:
A Scalable Approach to Incrementally Building Knowledge Graphs. TPDL 2016: 188-199 - [c80]Johann Schaible, Pedro A. Szekely, Ansgar Scherp:
Comparing Vocabulary Term Recommendations Using Association Rules and Learning to Rank: A User Study. ESWC 2016: 214-230 - [c79]Christian Paul, Achim Rettinger, Aditya Mogadala, Craig A. Knoblock, Pedro A. Szekely:
Efficient Graph-Based Document Similarity. ESWC 2016: 334-349 - [c78]Minh Pham, Suresh Alse, Craig A. Knoblock, Pedro A. Szekely:
Semantic Labeling: A Domain-Independent Approach. ISWC (1) 2016: 446-462 - [c77]Mohsen Taheriyan, Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite:
Leveraging Linked Data to Discover Semantic Relations Within Data Sources. ISWC (1) 2016: 549-565 - [c76]Linhong Zhu, Majid Ghasemi-Gol, Pedro A. Szekely, Aram Galstyan, Craig A. Knoblock:
Unsupervised Entity Resolution on Multi-type Graphs. ISWC (1) 2016: 649-667 - [i2]Mohsen Taheriyan, Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite:
Learning the Semantics of Structured Data Sources. CoRR abs/1601.04105 (2016) - 2015
- [j15]Craig A. Knoblock, Pedro A. Szekely:
Exploiting Semantics for Big Data Integration. AI Mag. 36(1): 25-38 (2015) - [c75]S. K. Ramnandan, Amol Mittal, Craig A. Knoblock, Pedro A. Szekely:
Assigning Semantic Labels to Data Sources. ESWC 2015: 403-417 - [c74]Shaohan Hu, Shuochao Yao, Haiming Jin, Yiran Zhao, Yitao Hu, Xiaochen Liu, Nooreddin Naghibolhosseini, Shen Li, Akash Kapoor, William Dron, Lu Su, Amotz Bar-Noy, Pedro A. Szekely, Ramesh Govindan, Reginald L. Hobbs, Tarek F. Abdelzaher:
Data Acquisition for Real-Time Decision-Making under Freshness Constraints. RTSS 2015: 185-194 - [c73]Om Prasad Patri, Ketan Singh, Pedro A. Szekely, Anand V. Panangadan, Viktor K. Prasanna:
Personalized trip planning by integrating multimodal user-generated content. ICSC 2015: 381-388 - [c72]Jason Slepicka, Chengye Yin, Pedro A. Szekely, Craig A. Knoblock:
KR2RML: An Alternative Interpretation of R2RML for Heterogenous Sources. COLD 2015 - [c71]Pedro A. Szekely, Craig A. Knoblock, Jason Slepicka, Andrew Philpot, Amandeep Singh, Chengye Yin, Dipsy Kapoor, Prem Natarajan, Daniel Marcu, Kevin Knight, David Stallard, Subessware S. Karunamoorthy, Rajagopal Bojanapalli, Steven Minton, Brian Amanatullah, Todd Hughes, Mike Tamayo, David Flynt, Rachel Artiss, Shih-Fu Chang, Tao Chen, Gerald Hiebel, Lidia Silva Ferreira:
Building and Using a Knowledge Graph to Combat Human Trafficking. ISWC (2) 2015: 205-221 - [c70]Pedro A. Szekely, Craig A. Knoblock, Jason Slepicka, Chengye Yin, Andrew Philpot, Amandeep Singh, Dipsy Kapoor, Prem Natarajan, Daniel Marcu, Kevin Knight, David Stallard, Subessware S. Karunamoorthy, Rajagopal Bojanapalli, Steven Minton, Brian Amanatullah, Todd Hughes, Mike Tamayo, David Flynt, Rachel Artiss, Shih-Fu Chang, Tao Chen, Gerald Hiebel, Lidia Silva Ferreira:
Using a Knowledge Graph to Combat Human Trafficking. ISWC (Posters & Demos) 2015 - [c69]Mohsen Taheriyan, Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite, Yinyi Chen:
Leveraging Linked Data to Infer Semantic Relations within Structured Sources. COLD 2015 - 2014
- [j14]Pedro A. Szekely, Craig A. Knoblock, Fengyu Yang, Eleanor E. Fink, Shubham Gupta, Rachel Allen, Georgina Goodlander:
Publishing the Data of the Smithsonian American Art Museum to the Linked Data Cloud. Int. J. Humanit. Arts Comput. 8(supplement): 152-166 (2014) - [j13]Reza Nourjou, Stephen F. Smith, Michinori Hatayama, Pedro A. Szekely:
Intelligent Algorithm for Assignment of Agents to Human Strategy in Centralized Multi-agent Coordination. J. Softw. 9(10): 2586-2597 (2014) - [c68]Eleanor E. Fink, Pedro A. Szekely, Craig A. Knoblock:
How Linked Open Data Can Help in Locating Stolen or Looted Cultural Property. EuroMed 2014: 228-237 - [c67]Shrikanth S. Narayanan, Ayush Jaiswal, Yao-Yi Chiang, Yanhui Geng, Craig A. Knoblock, Pedro A. Szekely:
Integration and Automation of Data Preparation and Data Mining. ICDM Workshops 2014: 1076-1085 - [c66]Bo Wu, Pedro A. Szekely, Craig A. Knoblock:
Minimizing user effort in transforming data by example. IUI 2014: 317-322 - [c65]Anastasia Dimou, Miel Vander Sande, Jason Slepicka, Pedro A. Szekely, Erik Mannens, Craig A. Knoblock, Rik Van de Walle:
Mapping Hierarchical Sources into RDF Using the RML Mapping Language. ICSC 2014: 151-158 - [c64]Mohsen Taheriyan, Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite:
A Scalable Approach to Learn Semantic Models of Structured Sources. ICSC 2014: 183-190 - [c63]Jason Slepicka, Chengye Yin, Pedro A. Szekely, Craig A. Knoblock:
A Demonstration of Linked Data Source Discovery and Integration. ISWC (Posters & Demos) 2014: 165-168 - [e6]Maria Maleshkova, Ruben Verborgh, Steffen Stadtmüller, Pedro A. Szekely:
Proceedings of the Second Workshop on Services and Applications over Linked APIs and Data co-located with the 10th Extended Semantic Web Conference (ESWC 2014), Crete, Greece, May 26, 2014. CEUR Workshop Proceedings 1165, CEUR-WS.org 2014 [contents] - [i1]Reza Nourjou, Michinori Hatayama, Stephen F. Smith, Atabak Sadeghi, Pedro A. Szekely:
Design of a GIS-based Assistant Software Agent for the Incident Commander to Coordinate Emergency Response Operations. CoRR abs/1401.0282 (2014) - 2013
- [c62]Craig A. Knoblock, Pedro A. Szekely:
Semantics for Big Data Integration and Analysis. AAAI Fall Symposia 2013 - [c61]