profile
Shenghui Wang is an assistant professor at the Human Media Interaction (HMI) group of the University of Twente. Her research interests include cognitive modeling, knowledge representation and reasoning, natural language semantics, text mining and interactive technologies. Her current research focuses on language technologies that can facilitate interactive communication between human and knowledge, with a special interest in making Cultural Heritage more inclusive and interactive. She is associated with the Hybrid Intelligence Centre and working on designing Hybrid Intelligence systems in general.
Before joining University of Twente, Shenghui was a Research Scientist at OCLC where she explored the potentials of NLP, Data Science and visualisation technologies to address problems in the library and other Cultural Heritage domains. She also worked at Free University Amsterdam and Wageningen University, exploring Semantic Web and NLP technologies to improve the semantic interoperability in the domains of Cultural Heritage and Agrifood research.
Shenghui earned a Ph.D in Computer Science from the University of Manchester (Manchester, UK), a Master in Computer Application Technology at the University of Science and Technology of China (Hefei, China), and a Bachelor in Computer Science in Anhui University (Hefei, China).
Check out these student assignments that I am happy to supervise.
publications
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2024
Shaping Relatable Robots: A Child-Centered Approach to Social Personalization (2024)In HRI'24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (pp. 127-129). Association for Computing Machinery. Malnatsky, E., Wang, S., Hindriks, K. & Ligthart, M.https://doi.org/10.1145/3610978.3638374Automated Question-Answer Generation for Evaluating RAG-based Chatbots (2024)In 1st Workshop on Patient-Oriented Language Processing, CL4Health 2024 at LREC-COLING 2024 - Workshop Proceedings (pp. 204-214). European Language Resources Association (ELRA). González Torres, J. J., Bîndilă, M. B., Hofstee, S., Szondy, D., Nguyen, Q. H., Wang, S. & Englebienne, G.https://aclanthology.org/2024.cl4health-1.25.pdfIntelligent Support Systems for Lifestyle Change: Integrating Dialogue, Information Extraction, and Reasoning (2024)In Frontiers in Artificial Intelligence and Applications. Chen, P.-Y., Baez Santamaria, S., De Boer, M. H. T., Den Hengst, F., Kamphorst, B. A., Smit, Q., Wang, S. & Wolff, J.https://doi.org/10.3233/FAIA240223
2023
Co-attention-Based Pairwise Learning for Author Name Disambiguation (2023)In Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration - 25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023, Proceedings (pp. 240-249) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14458). Springer. Wang, S., Li, Q. & Koopman, R.https://doi.org/10.1007/978-981-99-8088-8_21Personalizing Cultural Heritage Access in a Virtual Reality Exhibition: A User Study on Viewing Behavior and Content Preferences (2023)In UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (pp. 379-387). Association for Computing Machinery. Javdani Rikhtehgar, D., Wang, S., Huitema, H., Alvares, J., Schlobach, S., Rieffe, C. & Heylen, D.https://doi.org/10.1145/3563359.3596666A review for comparative text mining: From data acquisition to practical application (2023)Journal of information science, 1-13 (E-pub ahead of print/First online). Wei, N., Zhao, S., Liu, J. & Wang, S.https://doi.org/10.1177/01655515231165228A GNN-based Architecture for Group Detection from spatio-temporal Trajectory Data (2023)In Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings (pp. 327-339) (Lecture Notes in Computer Science; Vol. 13876). Nasri, M., Fang, Z., Baratchi, M., Englebienne, G., Wang, S., Koutamanis, A. & Rieffe, C.https://doi.org/10.1007/978-3-031-30047-9_26Correlating Eye Gaze with Object to Enrich Cultural Heritage Knowledge Graph (2023)CEUR workshop proceedings, 3632. Wang, S., Kulyk, D., Rikhtehgar, D. J., Heylen, D. & Rieffe, C. J.diVRsity: exploring diversity in VR (2023)[Contribution to conference › Abstract] ICT Open 2023. Javdani Rikhtehgar, D., Wang, S., Heylen, D. K. J. & Rieffe, C.Investigating Aha Moment Through Process Mining (2023)In Proceedings of the 25th International Conference on Enterprise Information Systems (pp. 164-172) (Proceedings International Conference on Enterprise Information Systems; Vol. 2023). SCITEPRESS. Chiang, W.-H., Ahmad, U., Wang, S. & Bukhsh, F. A.https://doi.org/10.5220/0011848800003467Ontology-Based Modeling of User-Environment Interaction in a Virtual Reality Exhibition (2023)In Proceedings 17th International Conference on Metadata and Semantics Research, MTSR 2023. University of Milano-Bicocca. Javdani Rikhtehgar, D., Wang, S., Schlobach, S. & Heylen, D. K. J.
2022
Visualisation Methods for Diachronic Semantic Shift (2022)In Proceedings of the Third Workshop on Scholarly Document Processing (pp. 89-94). Association for Computational Linguistics (ACL). Kazi, R., Amato, A., Wang, S. & Bucur, D.https://aclanthology.org/2022.sdp-1.10Visualization Methods for Diachronic Semantic Shift (2022)In Proceedings of the Third Workshop on Scholarly Document Processing (pp. 89-94) (Proceedings - International Conference on Computational Linguistics, COLING). Association for Computational Linguistics (ACL). Kazi, R., Amato, A., Wang, S. & Bucur, D.https://aclanthology.org/2022.sdp-1.10A novel textual data augmentation method for identifying comparative text from user-generated content (2022)[Contribution to conference › Abstract] 32nd Meeting of Computational Linguistics in The Netherlands, CLIN 2022. Wei, N. & Wang, S.https://clin2022.uvt.nl/a-novel-textual-data-augmentation-method-for-identifying-comparative-text-from-user-generated-content/A novel textual data augmentation method for identifying comparative text from user-generated content (2022)Electronic commerce research and applications, 53. Article 101143. Wei, N., Zhao, S., Liu, J. & Wang, S.https://doi.org/10.1016/j.elerap.2022.101143Bolzano, Kant, and the Traditional Theory of Concepts: A Computational Investigation (2022)In The Dynamics of Science: Computational Frontiers in History and Philosophy of Science (pp. 186-203). University of Pittsburgh Press. Ginammi, A., Koopman, R., Wang, S., Bloem, J. & Betti, A.https://doi.org/10.2307/j.ctv31djr2f.14
2021
Rewriting Fictional Texts Using Pivot Paraphrase Generation and Character Modification (2021)In Text, Speech, and Dialogue: 24th International Conference, TSD 2021, Olomouc, Czech Republic, September 6-9, 2021 Proceedings (pp. 73-85) (Lecture Notes in Computer Science; Vol. 12848). Springer. Liu, D., Zhu, T., Schlötterer, J., Seifert, C. & Wang, S.https://doi.org/10.1007/978-3-030-83527-9_6Augmenting context-aware citation recommendations with citation and co-authorship history (2021)In 18th International Conference on Scientometrics & Informetrics, ISSI 2021: Proceedings (pp. 115-120). International Society for Scientometrics and Informetrics. Bhowmick, A., Singhal, A. & Wang, S.Study concept drift in 150-year english literature (2021)CEUR workshop proceedings, 2871, 153-163. Li, R., Tian, P. & Wang, S.
2020
Ideas with impact: How connectivity shapes idea diffusion (2020)Research policy, 49(1). Article 103881. Deichmann, D., Moser, C., Birkholz, J. M., Nerghes, A., Groenewegen, P. & Wang, S.https://doi.org/10.1016/j.respol.2019.103881
2019
A two-step approach toward subject prediction (2019)In 17th International Conference on Scientometrics and Informetrics, ISSI 2019 - Proceedings: 2-5 September 2019 Sapienza University of Rome, Italy (pp. 1038-1043). International Society for Scientometrics and Informetrics. Koopman, R. & Wang, S.Embed First, Then Predict (2019)Knowledge Organization, 46(5), 364-370. Wang, S. & Koopman, R.https://doi.org/10.5771/0943-7444-2019-5-364Fast and discriminative semantic embedding (2019)In IWCS 2019 - Proceedings of the 13th International Conference on Computational Semantics - Long Papers (pp. 235-246). Association for Computational Linguistics (ACL). Koopman, R., Wang, S. & Englebienne, G.Non-Parametric Subject Prediction (2019)In Digital Libraries for Open Knowledge: 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Oslo, Norway, September 9-12, 2019, Proceedings (pp. 312-326) (Lecture Notes in Computer Science; Vol. 11799). Springer. Wang, S., Koopman, R. & Englebienne, G.https://doi.org/10.1007/978-3-030-30760-8_27
2018
SolarView: Low Distortion Radial Embeddings with a Focus (2018)IEEE transactions on visualization and computer graphics, 25(10), 2969-2982. Castermans, T., Verbeek, K., Speckmann, B., Westenberg, M. A., Koopman, R., Wang, S., van den Berg, H. & Betti, A.https://doi.org/10.1109/TVCG.2018.2865361
2017
Clustering articles based on semantic similarity (2017)Scientometrics, 111(2), 1017-1031. Wang, S. & Koopman, R.https://doi.org/10.1007/s11192-017-2298-xComparison of topic extraction approaches and their results (2017)Scientometrics, 111(2), 1169-1221. Velden, T., Boyack, K. W., Gläser, J., Koopman, R., Scharnhorst, A. & Wang, S.https://doi.org/10.1007/s11192-017-2306-1Contextualization of topics: browsing through the universe of bibliographic information (2017)Scientometrics, 111(2), 1119-1139. Koopman, R., Wang, S. & Scharnhorst, A.https://doi.org/10.1007/s11192-017-2303-4Mutual information based labelling and comparing clusters (2017)Scientometrics, 111(2), 1157-1167. Koopman, R. & Wang, S.https://doi.org/10.1007/s11192-017-2305-2Alternative metrics correlations: Do academic reviews correlate with library holdings? (2017)[Contribution to conference › Paper] 16th International Conference on Scientometrics and Informetrics, ISSI 2017. Qingqing, Z., Shenghui, W. & Chengzhi, Z.Semantic embedding for information retrieval (2017)In BIR 2017: 5th Workshop on Bibliometric-enhanced Information Retrieval 2017 (pp. 122-132) (CEUR workshop proceedings). CEUR. Wang, S. & Koopman, R.http://ceur-ws.org/Vol-1823/
2016
Bibliometrics and information retrieval: Creating knowledge through research synergies (2016)Proceedings of the Association for Information Science and Technology, 53(1), 1-4. Bar-Ilan, J., John, M., Koopman, R., Wang, S., Mayr, P., Scharnhorst, A. & Wolfram, D.https://doi.org/10.1002/pra2.2016.14505301023
2015
Ariadne's thread - Interactive navigation in a world of networked information (2015)In CHI 2015: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (pp. 1833-1838). Association for Computing Machinery. Koopman, R., Wang, S., Scharnhorst, A. & Englebienne, G.https://doi.org/10.1145/2702613.2732781Contextualization of topics-Browsing through terms, authors, journals and cluster allocations (2015)In Proceedings of ISSI 2015 Istanbul: 15th International Society of Scientometrics and Informetrics Conference (pp. 1042-1053). Bogazici Universitesi. Koopman, R., Wang, S. & Scharnhorst, A.https://arxiv.org/abs/1504.04208Library Linked Data in the Cloud: OCLC's Experiments with New Models of Resource Description (2015)[Book/Report › Book]. Morgan and Claypool Publishers. Godby, C. J., Wang, S. & Mixter, J. K.https://doi.org/10.2200/S00620ED1V01Y201412WBE012
2014
Where should i publish? Detecting journal similarity based on what have been published there (2014)In 2014 IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014 (pp. 483-484). Article 6970236. IEEE. Koopman, R. & Wang, S.https://doi.org/10.1109/JCDL.2014.6970236A social bookmarking system to support cluster driven archival arrangement (2014)In Proceedings of the 5th Information Interaction in Context Symposium, IIiX 2014 (pp. 295-298). Association for Computing Machinery. Bron, M., Van Der Werf, T., Wang, S. & De Rijke, M.https://doi.org/10.1145/2637002.2637046
2013
Hierarchical structuring of cultural heritage objects within large aggregations (2013)In Research and Advanced Technology for Digital Libraries - International Conference on Theory and Practice of Digital Libraries, TPDL 2013, Proceedings (pp. 247-259) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8092 LNCS). Wang, S., Isaac, A., Charles, V., Koopman, R., Agoropoulou, A. & Van Der Werf, T.https://doi.org/10.1007/978-3-642-40501-3_25Exploring ideation: Knowledge development in science through the lens of semantic and social networks (2013)In Proceedings of the 46th Annual Hawaii International Conference on System Sciences, HICSS 2013 (pp. 235-243). Article 6479862. Moser, C., Birkholz, J. M., Deichmann, D., Hellsten, I. & Wang, S.https://doi.org/10.1109/HICSS.2013.218Who are we talking about? Identifying scientific populations online (2013)In Semantic Web and Web Science (pp. 237-250) (Springer Proceedings in Complexity). Springer. Birkholz, J. M., Wang, S., Groth, P. & Magliacane, S.https://doi.org/10.1007/978-1-4614-6880-6_21
2012
Instance-Based Ontology Matching by Instance Enrichment (2012)Journal on Data Semantics, 1(4), 219-236. Schopman, B., Wang, S., Isaac, A. & Schlobach, S.https://doi.org/10.1007/s13740-012-0011-zInstance-based semantic interoperability in the cultural heritage (2012)Semantic web, 3(1), 45-64. Wang, S., Isaac, A., Schlobach, S., Van Der Meij, L. & Schopman, B.https://doi.org/10.3233/SW-2012-0045MultiFarm: A benchmark for multilingual ontology matching (2012)Web Semantics, 15, 62-68. Meilicke, C., García-Castro, R., Freitas, F., Van Hage, W. R., Montiel-Ponsoda, E., De Azevedo, R. R., Stuckenschmidt, H., Šváb-Zamazal, O., Svátek, V., Tamilin, A., Trojahn, C. & Wang, S.https://doi.org/10.1016/j.websem.2012.04.001
2011
A framework for longitudinal influence measurement between communication content and social networks (2011)In IJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence (pp. 2758-2763). Wang, S. & Groth, P.https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-459Concept drift and how to identify it (2011)Web Semantics, 9(3), 247-265. Wang, S., Schlobach, S. & Klein, M.https://doi.org/10.1016/j.websem.2011.05.003Multi-scale analysis of the web of data: A challenge to the complex system's community (2011)Advances in Complex Systems, 14(4), 587-609. GuÉret, C., Wang, S., Groth, P. & Schlobach, S.https://doi.org/10.1142/S0219525911003153
2010
Enhancing content-based recommendation with the task model of classification (2010)In Knowledge Engineering and Management by the Masses - 17th International Conference, EKAW 2010, Proceedings (pp. 431-440) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6317 LNAI). Wang, Y., Wang, S., Stash, N., Aroyo, L. & Schreiber, G.https://doi.org/10.1007/978-3-642-16438-5_33What is concept drift and how to measure it? (2010)In Knowledge Engineering and Management by the Masses - 17th International Conference, EKAW 2010, Proceedings (pp. 241-256) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6317 LNAI). Wang, S., Schlobach, S. & Klein, M.https://doi.org/10.1007/978-3-642-16438-5_17Measuring the dynamic bi-directional influence between content and social networks (2010)In The Semantic Web, ISWC 2010 - 9th International Semantic Web Conference, ISWC 2010, Revised Selected Papers (pp. 814-829) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6496 LNCS). Wang, S. & Groth, P.https://doi.org/10.1007/978-3-642-17746-0_51Studying concept shift in political ontologies (2010)In Proceedings of the International Symposium on Matching and Meaning Automated Development, Evolution and Interpretation of Ontologies - A Symposium at the AISB 2010 Convention (pp. 42-45). Wang, S., Schlobach, S., Takens, J. & Van Atteveldt, W.
2009
Mapping-chains for studying concept shift in political ontologies (2009)In OM'09 Proceedings of the 4th International Conference on Ontology Matching (pp. 13-24) (CEUR workshop proceedings; Vol. 551). Wang, S., Schlobach, S., Takens, J. & Van Atteveldt, W.https://dl.acm.org/citation.cfm?id=2889729Matching multi-lingual subject vocabularies (2009)In Research and Advanced Technology for Digital Libraries - 13th European Conference, ECDL 2009, Proceedings (pp. 125-137) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5714 LNCS). Wang, S., Isaac, A., Schopman, B., Schlobach, S. & Van Der Meij, L.https://doi.org/10.1007/978-3-642-04346-8_14Results of the ontology alignment evaluation initiative 2009 (2009)In 4th International Workshop on Ontology Matching (OM-2009) (pp. 73-126) (CEUR workshop proceedings; Vol. 551). Euzenat, J., Ferrara, A., Hollink, L., Isaac, A., Joslyn, C., Malaisé, V., Meilicke, C., Nikolov, A., Pane, J., Sabou, M., Scharffe, F., Shvaiko, P., Spiliopoulos, V., Stuckenschmidt, H., Šváb-Zamazal, O., Svátek, V., Trojahn, C., Vouros, G. & Wang, S.Vocabulary matching for book indexing suggestion in linked libraries - A prototype implementation and evaluation (2009)In The Semantic Web, ISWC 2009 - 8th International Semantic Web Conference, ISWC 2009, Proceedings (pp. 843-859) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5823 LNCS). Isaac, A., Kramer, D., Van Der Meij, L., Wang, S., Schlobach, S. & Stapel, J.https://doi.org/10.1007/978-3-642-04930-9_53Evaluating thesaurus lignments for semantic interoperability in the library domain (2009)IEEE intelligent systems, 24(2), 76-86. Isaac, A., Wang, S., Van Der Meij, L., Schlobach, S., Zinn, C. & Matthezing, H.https://doi.org/10.1109/MIS.2009.26
2008
Deriving concept mappings through instance mappings (2008)In The Semantic Web - 3rd Asian Semantic Web Conference, ASWC 2008, Proceedings (pp. 122-136) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5367 LNCS). Schopman, B. A. C., Wang, S. & Schlobach, S.https://doi.org/10.1007/978-3-540-89704-0_9Learning concept mappings from instance similarity (2008)In The Semantic Web - ISWC 2008: 7th International Semantic Web Conference, ISWC 2008, Proceedings (pp. 339-355) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5318 LNCS). Springer. Wang, S., Englebienne, G. & Schlobach, S.https://doi.org/10.1007/978-3-540-88564-1_22An empirical study of instance-based ontology matching (2008)In BNAIC 2008 Belgian-Dutch Conference on Artificial Intelligence: Proceedings of the twentieth Belgian-Dutch Conference on Artificial Intelligence (pp. 317-318) (Belgian/Netherlands Conference on Artificial Intelligence; Vol. 2006). University of Twente. Isaac, A., van der Meij, L., Schlobach, S. & Wang, S.Using quantitative aspects of alignment generation for argumentation on mappings (2008)In OM'08 Proceedings of the 3rd International Conference on Ontology Matching (pp. 49-60) (CEUR workshop proceedings; Vol. 431). Isaac, A., Trojahn, C., Wang, S. & Quaresma, P.Semantically processing parallel colour descriptions (2008)In Journal on Data Semantics X (pp. 212-236) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4900 LNCS). Wang, S. & Pan, J. Z.https://doi.org/10.1007/978-3-540-77688-8_7Putting ontology alignment in context: Usage scenarios, deployment and evaluation in a library case (2008)In The Semantic Web: Research and Applications - 5th European Semantic Web Conference, ESWC 2008, Proceedings (pp. 402-417) (Lecture Notes in Computer Science; Vol. 5021). Isaac, A., Matthezing, H., Van Der Meij, L., Schlobach, S., Wang, S. & Zinn, C.https://doi.org/10.1007/978-3-540-68234-9_31Two variations on ontology alignment evaluation: Methodological issues (2008)In The Semantic Web: Research and Applications - 5th European Semantic Web Conference, ESWC 2008, Proceedings (pp. 388-401) (Lecture Notes in Computer Science; Vol. 5021). Hollink, L., Van Assem, M., Wang, S., Isaac, A. & Schreiber, G.https://doi.org/10.1007/978-3-540-68234-9_30The semantic processing of continuous quantities for discrete terms in ontologies (2008)Journal of logic and computation, 18(3), 341-359. Wang, S., Rydeheard, D. & Pan, J. Z.https://doi.org/10.1093/logcom/exm074
2007
An empirical study of instance-based ontology matching (2007)In The Semantic Web: 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea, November 11-15, 2007. Proceedings (pp. 253-266) (Lecture Notes in Computer Science; Vol. 4825). Springer. Isaac, A., Van Der Meij, L., Schlobach, S. & Wang, S.https://doi.org/10.1007/978-3-540-76298-0_19Multi-concept alignment and evaluation (2007)In OM'07 Proceedings of the 2nd International Conference on Ontology Matching (pp. 61-71) (CEUR workshop proceedings; Vol. 304). Wang, S., Isaac, A., Van Der Meij, L. & Schlobach, S.https://dl.acm.org/citation.cfm?id=2889668Ontology-based integration and retrieval over multiple quantities - What if "Ovate leaves and often blue to purple flowers" (2007)In IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007 (pp. 388-394). Article 4427121. IEEE. Wang, S. & Pan, J. Z.https://doi.org/10.1109/WI.2007.63
2006
Integrating and querying parallel leaf shape descriptions (2006)In The Semantic Web - ISWC 2006 - 5th International Semantic Web Conference, ISWC 2006, Proceedings (pp. 668-681) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4273 LNCS). Springer. Wang, S. & Pan, J. Z.https://doi.org/10.1007/11926078_48
2005
Ontology-based representation and query of colour descriptions from botanical documents (2005)In On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE: OTM Confederated International Conferences, CoopIS, DOA, and ODBASE 2005, Proceedings (pp. 1279-1295) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3761 LNCS). Wang, S. & Pan, J. Z.https://doi.org/10.1007/11575801_22