publications

Premier conference publications¹

[23] Blerta Veselhi, Sneha Singhania, Simon Razniewski, Gerhard Weikum. Evaluating Language Models for Knowledge Base Completion, ESWC, 2023 – Acceptance rate: 19%
[22] Tuan-Phong Nguyen, Simon Razniewski, Aparna Varde, Gerhard Weikum. Extracting Cultural Commonsense Knowledge at Scale, WWW, 2023 – Acceptance rate: 19%
[21] Julien Romero and Simon Razniewski. Do Children Texts Hold The Key To Commonsense Knowledge?, EMNLP, 2022
[20] Hiba Arnaout, Simon Razniewski, Gerhard Weikum and Jeff Z. Pan. UnCommonSense: Informative Negative Knowledge about Everyday Concepts, CIKM, 2022 – Acceptance rate: 23%
[19] Shrestha Ghosh, Simon Razniewski, Gerhard Weikum. Answering Count Query with Explanatory Evidence , SIGIR, 2022 – Acceptance rate: 25%
[18] Vinh Thinh Ho, Koninika Pal, Simon Razniewski, Klaus Berberich and Gerhard Weikum. Extracting Contextualized Quantity Facts from Web Tables, WWW, 2021 – Acceptance rate: 21%
[17] Tuan-Phong Nguyen, Simon Razniewski and Gerhard Weikum. Advanced Semantics for Commonsense Knowledge Extraction, WWW, 2021 – Acceptance rate: 21%
[16] Sreyasi Nag Chowdhury, Simon Razniewski and Gerhard Weikum. SANDI: Story-and-Images Alignment, EACL, 2021
[15] Julien Corman, Davide Lanti, Diego Calvanese, Simon Razniewski. Counting Query Answers over a DL-Lite KB, IJCAI, 2020 – Acceptance rate: 13%
[14] Cuong Xuan Chu, Simon Razniewski, Gerhard Weikum. ENTYFI: Entity Typing in Fictional Texts, WSDM, 2020 – Acceptance rate: 15%
[13] Simon Razniewski, Nitisha Jain, Paramita Mirza, Gerhard Weikum. Coverage of Information Extraction from Sentences and Paragraphs, EMNLP, 2019 – Acceptance rate: 20%
[12] Julien Romero, Simon Razniewski, Koninika Pal, Jeff Z. Pan, Archit Sakhadeo, Gerhard Weikum. Commonsense Properties from Query Logs and Question Answering Forums, CIKM, 2019 – Acceptance rate: 20%
[11] Cuong Xuan Chu, Simon Razniewski, Gerhard Weikum. TiFi: Taxonomy Induction for Fictional Domains, WWW, 2019 – Acceptance rate: 20%
[10] Paramita Mirza, Simon Razniewski, Fariz Darari and Gerhard Weikum. Enriching Knowledge Bases with Counting Quantifiers, ISWC, 2018 – Acceptance rate: 23%
[9] Thomas Pellissier Tanon, Daria Stepanova, Simon Razniewski, Paramita Mirza and Gerhard Weikum. Completeness-aware Rule Learning from Knowledge Graphs, ISWC, 2017 – Acceptance rate: 22%
[8] Paramita Mirza, Simon Razniewski, Fariz Darari, Gerhard Weikum. Cardinal Virtues: Extracting Relation Cardinalities from Text, ACL, 2017 – Acceptance rate: 18%
[7] Luis Galárraga, Simon Razniewski, Antoine Amarilli, Fabian M. Suchanek. Predicting Completeness in Knowledge Bases, WSDM, 2017 – Acceptance rate: 16%
[6] Simon Razniewski. Optimizing Update Frequencies for Decaying Information, CIKM, 2016 – Acceptance rate: 23%
[5] Simon Razniewski, Flip Korn, Werner Nutt, Divesh Srivastava. Identifying the Extent of Completeness of Query Answers over Partially Complete Databases, SIGMOD, 2015 – Acceptance rate: 26%
[4] Simon Razniewski, Marco Montali and Werner Nutt. Verification of Query Completeness over Processes, BPM, 2013 – Acceptance rate: 14%
[3] Fariz Darari, Werner Nutt, Giuseppe Pirro, Simon Razniewski. Completeness Statements about RDF Data Sources und Their Use for Query Answering, ISWC, 2013 – Acceptance rate: 22%
[2] Werner Nutt and Simon Razniewski. Completeness of Queries over SQL Databases, CIKM, 2012 – Acceptance rate: 13%
[1] Simon Razniewski and Werner Nutt. Completeness of Queries over Incomplete Databases, VLDB, 2011 – Acceptance rate: 18%

¹Rank A* or A in the Core 2018 ranking (http://www.core.edu.au/conference-portal)

Journal publications

[8] Shrestha Ghosh, Simon Razniewski, Gerhard Weikum. Answering Count Questions with Structured Answers from Text, JWS, 2023
[7] Tuan-Phong Nguyen, Simon Razniewski, Julien Romero and Gerhard Weikum. Refined Commonsense Knowledge from Large-Scale Web Contents , TKDE, 2022
[6] Sneha Singhania, Simon Razniewski, Gerhard Weikum. Predicting Document Coverage for Relation Extraction, TACL, 2022
[5] Hiba Arnaout, Simon Razniewski, Gerhard Weikum, Jeff Z. Pan. Negative Statements Considered Useful, JWS, 2021
[4] Gerhard Weikum, Xin Luna Dong, Simon Razniewski, Fabian Suchanek. Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases , FnT, 2021
[3] Shrestha Ghosh, Simon Razniewski, Gerhard Weikum. Uncovering Hidden Semantics of Set Information in Knowledge Bases, JWS, 2020
[2] Fariz Darari, Werner Nutt, Simon Razniewski, Sebastian Rudolph. Completeness and Soundness Guarantees for Conjunctive SPARQL Queries over RDF Data Sources with Completeness Statements, SWJ, 2018
[1] Fariz Darari, Werner Nutt, Giuseppe Pirro, Simon Razniewski. Completeness Management for RDF Data Sources, TWEB, 2018

Demo publications²

[11] Hiba Arnaout, Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum. UnCommonSense in Action! Informative Negations for Commonsense Knowledge Bases , WSDM, 2023
[10] Shrestha Ghosh, Simon Razniewski, Gerhard Weikum. CoQEx: Entity Counts Explained, WSDM, 2023
[9] Aditya Bikram Biswas, Hiba Arnaout, Simon Razniewski. Neguess: Wikidata-entity guessing game with negative clues, ISWC, 2021
[8] Tuan-Phong Nguyen, Simon Razniewski and Gerhard Weikum. Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering, ACL, 2021
[7] Hiba Arnaout, Simon Razniewski, Gerhard Weikum, Jeff Z. Pan. Wikinegata: A Knowledge Base with Interesting Negative Statements, VLDB, 2021
[6] Cuong Xuan Chu, Simon Razniewski, Gerhard Weikum. ENTYFI: A System for Fine-grained Entity Typing in Fictional Texts, EMNLP, 2020
[5] Yohan Chalier, Simon Razniewski, Gerhard Weikum. Dice: A Joint Reasoning Framework for Multi-Faceted Commonsense Knowledge, ISWC, 2020
[4] Julien Romero and Simon Razniewski. Inside Quasimodo: Exploring Construction and Usage of Commonsense Knowledge, CIKM, 2020
[3] Shrestha Ghosh, Simon Razniewski, Gerhard Weikum. CounQER: A System for Discovering and Linking Count Information in Knowledge Bases, ESWC, 2020
[2] William Cheng, Sreyasi Nag Chowdhury, Gerard de Melo, Simon Razniewski and Gerhard Weikum. SANDI: A Tool for Alignment of Images within Text, WSDM, 2020
[1] Fariz Darari, Radityo Eko Prasojo, Simon Razniewski and Werner Nutt. COOL-WD: A Completeness Tool for Wikidata, ISWC, 2017

² These tracks require fully-fledged implemented systems, and typically come with acceptance rates around 30%.

Other peer-reviewed publications

[37] Sneha Singhania, Tuan-Phong Nguyen, Simon Razniewski. Knowledge Base Construction from Pre-trained Language Models, ISWC, 2022
[36] Tuan-Phong Nguyen and Simon Razniewski. Materialized Knowledge Bases from Commonsense Transformers, CSRR@ACL, 2022
[35] Hiba Arnaout, Trung-Kien Tran, Daria Stepanova, Mohamed H. Gad-Elrab, Simon Razniewski and Gerhard Weikum. Utilizing LM Probes for KG Repair, Wiki Workshop@WWW, 2022
[34] Simon Razniewski, Andrew Yates, Nora Kassner, Gerhard Weikum. Language Models As or For Knowledge Bases, DL4KG@ISWC, 2021
[33] Cuong Xuan Chu, Simon Razniewski, Gerhard Weikum. KnowFi: Knowledge Extraction from Long Fictional Texts, AKBC, 2021
[32] Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian Suchanek. Completeness, Recall, and Negation in Open-World Knowledge Bases, VLDB tutorial, 2021
[31] Sreyasi Nag Chowdhury, Rajarshi Bhowmik, Hareesh Ravi, Gerard de Melo, Simon Razniewski and Gerhard Weikum. Exploiting Image–Text Synergy for Contextual Image Captioning, Lantern@EACL, 2021
[30] Hiba Arnaout, Simon Razniewski, Gerhard Weikum, Jeff Z. Pan. Discovering the boundaries of open-world Wikidata with Wikinegata, Wiki Workshop@WWW, 2021
[29] Nadyah Hani Ramadhana, Fariz Darari, Panca O. Hadi Putra, Werner Nutt, Simon Razniewski, and Refo Ilmiya Akbar. User-Centered Design for Knowledge Imbalance Analysis: A Case Study of ProWD, VOILA@ISWC, 2020
[28] Hiba Arnaout, Simon Razniewski and Gerhard Weikum. Enriching Knowledge Bases with Negative Statements, ISWC best sister conference track, 2020
[27] Simon Razniewski and Priyanka Das. Structured knowledge: Have we made progress? An empirical study of KB coverage over 19 years, CIKM poster, 2020
[26] Julien Corman, Davide Lanti, Diego Calvanese, Simon Razniewski. Rewriting Count Queries over DL-Lite TBoxes with Cardinality Restrictions, DL, 2020
[25] Yohan Chalier, Simon Razniewski and Gerhard Weikum. Joint Reasoning for Multi-Faceted Commonsense Knowledge, AKBC, 2020
[24] Hiba Arnaout, Simon Razniewski and Gerhard Weikum. Enriching Knowledge Bases with Negative Statements, AKBC, 2020
[23] Avicenna Wisesa, Fariz Darari, Adila Krisnadhi, Werner Nutt and Simon Razniewski. Wikidata Completeness Profiling Using ProWD, K-CAP, 2019
[22] Ioannis Dikeoulias, Jannik Strötgen, Simon Razniewski. Epitath or Breaking News? Analyzing and Predicting the Stability of Knowledge Base Properties, TempWeb@WWW, 2019
[21] Simon Razniewski and Gerhard Weikum. Knowledge Base Recall: Detecting and Resolving the Unknown Unknowns, SIGWEB newsletter, 2018
[20] Thomas Pellissier Tanon, Daria Stepanova, Simon Razniewski, Paramita Mirza and Gerhard Weikum. Completeness-aware Rule Learning from Knowledge Graphs, IJCAI best sister conference track, 2018
[19] Fariz Darari, Werner Nutt, Simon Razniewski. Comparing Index Structures for Completeness Reasoning, IWBIS, 2018
[18] Vevake Balaraman, Simon Razniewski and Werner Nutt. Recoin: Relative Completeness in Wikidata, Wiki Workshop@WWW, 2018
[17] Simon Razniewski, Vevake Balaraman, Werner Nutt. Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties, ADMA, 2017
[16] Luis Galárraga, Katja Hose, Simon Razniewski. Enabling Completeness-aware Querying in SPARQL, WebDB@SIGMOD, 2017
[15] Albin Ahmeti, Simon Razniewski, Axel Polleres. Assessing the Completeness of Entities in Knowledge Bases, ESWC poster, 2017
[14] Paramita Mirza, Simon Razniewski and Werner Nutt. Expanding Wikidata’s Parenthood Information by 178%, or How To Mine Relation Cardinalities, ISWC poster, 2016
[13] Simon Razniewski, Shazia Sadiq, and Xiaofang Zhou. Exploiting Hierarchies for Efficient Detection of Completeness in Stream Data, ADC, 2016
[12] Radityo Eko Prasojo, Fariz Darari, Simon Razniewski, and Werner Nutt. Managing and Consuming Completeness Information for Wikidata Using COOL-WD, COLD@ISWC, 2016
[11] Simon Razniewski, Fabian Suchanek and Werner Nutt. But What Do We Actually Know?, AKBC, 2016
[10] Simon Razniewski, Ognjen Savkovic and Werner Nutt. Turning The Partial-closed World Assumption Upside Down, AMW, 2016
[9] Fariz Darari, Simon Razniewski, Radityo Eko Prasojo, Werner Nutt. Enabling Fine-grained RDF Data Completeness Assessment, ICWE, 2016
[8] Simon Razniewski and Werner Nutt. Long-term Optimization of Update Frequencies for Decaying Information, WebDB@SIGMOD, 2015
[7] Vincenzo Del Fatto, Gabriella Dodero, Rosella Gennari, Alessandra Melonio, Marco Montali, Simon Razniewski, Santina Torello, Xiaofeng Wang, Floriano Zini. Gamified Children Universities: An Exploratory Study, CHI PLAY, 2014
[6] Simon Razniewski and Werner Nutt. Adding Completeness Information to Query Answers over Spatial Data, SIGSPATIAL, 2014
[5] Simon Razniewski and Werner Nutt. Databases under the Partial Closed-world Assumption: A Survey, GvDB, 2014
[4] Fariz Darari, Simon Razniewski and Werner Nutt. Bridging the Semantic Gap between RDF and SPARQL using Completeness Statements, ISWC poster, 2014
[3] Simon Razniewski and Werner Nutt. Assessing the Completeness of Geographical Data, BNCOD, 2013
[2] Werner Nutt, Simon Razniewski and Gil Vegliach. Incomplete Databases: Missing Records and Missing Values, DQDI@DASFAA, 2012
[1] Simon Razniewski and Werner Nutt. Checking Query Completeness over Incomplete Data, LID@EDBT/ICDT, 2011

Patent applications

[1] Simon Razniewski, Ioannis Dikeoulias, Jannik Stroetgen. Method for Predicting a Persistence Over Time of Entries of a Knowledge Base, US Patent application 16/667,673, 2020