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Shards of Knowledge – Modeling Attributions for Event-Centric Knowledge Graphs

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Conceptual Modeling (ER 2023)

Abstract

Recently the usage of narratives as a means of fusing information from large knowledge graphs (KGs) into a coherent line of argumentation has been proposed. Narratives are especially useful in event-centric knowledge graphs in that they provide a means to categorize real-world events by well-known narrations. However, specifically for controversial events a problem in information fusion arises. Namely, the existence of multiple viewpoints regarding the validity of certain event aspects, e.g., regarding the role a participant takes in an event. Expressing those viewpoints into large KGs is challenging, because disputed information provided by different viewpoints may introduce inconsistencies. Hence, most KGs only feature a single view on the contained information, hampering the effectiveness of narrative information access. In this paper, we introduce attributions, i.e., parameterized predicates that allow for the representation of facts that are only valid in a certain viewpoint. For this, we develop a conceptual model that allows for the representation of viewpoint-dependent information and further describes how such information can be fused for querying and reasoning consistently.

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Notes

  1. 1.

    https://www.wikidata.org/wiki/Q15860072.

  2. 2.

    https://www.wikidata.org/wiki/Q110999040.

  3. 3.

    https://www.wikidata.org/wiki/Help:Qualifiers.

  4. 4.

    Note, that the president of Russia is not a member of the Russian government.

References

  1. AlDayel, A., Magdy, W.: Stance detection on social media: state of the art and trends. J. Inf. Process. Manag. 58(4), 102597 (2021). https://doi.org/10.1016/j.ipm.2021.102597

    Article  Google Scholar 

  2. Almeida, J.P.A., Falbo, R.A., Guizzardi, G.: Events as entities in ontology-driven conceptual modeling. In: Laender, A.H.F., Pernici, B., Lim, E.-P., de Oliveira, J.P.M. (eds.) ER 2019. LNCS, vol. 11788, pp. 469–483. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-33223-5_39

    Chapter  Google Scholar 

  3. Bestvater, S., Monroe, B.: Sentiment is not stance: target-aware opinion classification for political text analysis. Polit. Anal. 31(2), 235–256 (2023). https://doi.org/10.1017/pan.2022.10

    Article  Google Scholar 

  4. Gottschalk, S., Demidova, E.: EventKG: a multilingual event-centric temporal knowledge graph. In: Gangemi, A., et al. (eds.) ESWC 2018. LNCS, vol. 10843, pp. 272–287. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93417-4_18

    Chapter  Google Scholar 

  5. Gottschalk, S., et al.: OEKG: the open event knowledge graph. In: International Workshop on Cross-Lingual Event-centric Open Analytics Co-located with the Web Conference (CLEOPATRA@WWW). CEUR Workshop Proceedings. CEUR-WS.org (2021). https://ceur-ws.org/Vol-2829/paper5.pdf

  6. Guizzardi, G., Wagner, G., de Almeida Falbo, R., Guizzardi, R.S.S., Almeida, J.P.A.: Towards ontological foundations for the conceptual modeling of events. In: Ng, W., Storey, V.C., Trujillo, J.C. (eds.) ER 2013. LNCS, vol. 8217, pp. 327–341. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-41924-9_27

    Chapter  Google Scholar 

  7. Gómez Álvarez, L., Rudolph, S., Strass, H.: How to agree to disagree - managing ontological perspectives using standpoint logic. In: Sattler, U., et al. (eds.) ISWC 2022. LNCS, vol. 13489, pp. 125–141. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-19433-7_8

    Chapter  Google Scholar 

  8. Hada, R., et al.: Beyond digital “echo chambers”: the role of viewpoint diversity in political discussion. In: International Conference on Web Search and Data Mining (WSDM). ACM (2023). https://doi.org/10.1145/3539597.3570487

  9. van Hage, W.R., Malaisé, V., Segers, R., Hollink, L., Schreiber, G.: Design and use of the simple event model (SEM). J. Web Semant. 9(2), 128–136 (2011). https://doi.org/10.1016/j.websem.2011.03.003

    Article  Google Scholar 

  10. Hemam, M., Boufaïda, Z.: MVP-OWL: a multi-viewpoints ontology language for the Semantic Web. Int. J. Reason. Based Intell. Syst. (2011). https://doi.org/10.1504/IJRIS.2011.043539

  11. Herman, D.: Narrative theory and the cognitive sciences. Narrative Inq. 11(1) (2001). https://doi.org/10.1075/ni.11.1.01her

  12. Hernández, D., Hogan, A., Krötzsch, M.: Reifying RDF: what works well with Wikidata? In: International Workshop on Scalable Semantic Web Knowledge Base Systems Co-located with International Semantic Web Conference (SSWS@ISWC). CEUR-WS.org (2015). https://ceur-ws.org/Vol-1457/SSWS2015_paper3.pdf

  13. Klyne, G., Carroll, J., McBride, B.: RDF 1.1 concepts and abstract syntax (2014). https://www.w3.org/TR/rdf11-concepts/

  14. Kotonya, G., Sommerville, I.: Requirements engineering with viewpoints. Softw. Eng. J. 11(1), 5–18 (1996). https://doi.org/10.1049/sej.1996.0002

    Article  Google Scholar 

  15. Kroll, H., Nagel, D., Balke, W.-T.: Modeling narrative structures in logical overlays on top of knowledge repositories. In: Dobbie, G., Frank, U., Kappel, G., Liddle, S.W., Mayr, H.C. (eds.) ER 2020. LNCS, vol. 12400, pp. 250–260. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-62522-1_18

    Chapter  Google Scholar 

  16. Kublauch, H., Kontokostas, D.: Shapes constraint language (SHACL) (2017). https://www.w3.org/TR/shacl/

  17. László, J.: The Science of Stories: An Introduction to Narrative Psychology. Routledge, Oxfordshire (2008). https://doi.org/10.4324/9780203894934

  18. Nguyen, V., Bodenreider, O., Sheth, A.: Don’t like RDF reification?: making statements about statements using singleton property. In: International World Wide Web Conference (WWW). ACM (2014). https://doi.org/10.1145/2566486.2567973

  19. Osman, I., Yahia, S.B., Diallo, G.: Ontology integration: approaches and challenging issues. Inf. Fusion 71, 38–63 (2021). https://doi.org/10.1016/j.inffus.2021.01.007

    Article  Google Scholar 

  20. Plötzky, F., Balke, W.: It’s the same old story! Enriching event-centric knowledge graphs by narrative aspects. In: Web Science Conference (WebSci). ACM (2022). https://doi.org/10.1145/3501247.3531565

  21. Porzel, R., Pomarlan, M., Spillner, L., Bateman, J., Mildner, T., Santagiustina, C.: Narrativizing knowledge graphs. In: International Workshop on AI Technology for Legal Documentations and International Workshop on Knowledge Graph Summary Co-located with the International Semantic Web Conference (AI4LEGAL/KGSum@ISWC). CEUR Workshop Proceedings, CEUR-WS.org (2022). https://ceur-ws.org/Vol-3257/paper11.pdf

  22. Quraishi, M., Fafalios, P., Herder, E.: Viewpoint discovery and understanding in social networks. In: Web Science Conference (WebSci). ACM, Amsterdam (2018). https://doi.org/10.1145/3201064.3201076

  23. Rospocher, M., et al.: Building event-centric knowledge graphs from news. J. Web Semant. (2016). https://doi.org/10.1016/j.websem.2015.12.004

    Article  Google Scholar 

  24. Rudnik, C., Ehrhart, T., Ferret, O., Teyssou, D., Troncy, R., Tannier, X.: Searching news articles using an event knowledge graph leveraged by Wikidata. In: Companion of World Wide Web Conference (WWW). ACM (2019). https://doi.org/10.1145/3308560.3316761

  25. Scherp, A., Franz, T., Saathoff, C., Staab, S.: F - a model of events based on the foundational ontology DOLCE+DnS ultralite. In: International Conference on Knowledge Capture (K-CAP). ACM (2009). https://doi.org/10.1145/1597735.1597760

  26. Schreiber, G., Raimond, Y.: RDF 1.1 Primer (2014). https://www.w3.org/TR/rdf11-primer/

  27. Sommerville, I., Sawyer, P., Viller, S.: Managing process inconsistency using viewpoints. IEEE Trans. Softw. Eng. 25(6), 784–799 (1999). https://doi.org/10.1109/32.824395

    Article  Google Scholar 

  28. Stuckenschmidt, H.: Toward multi-viewpoint reasoning with OWL ontologies. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 259–272. Springer, Heidelberg (2006). https://doi.org/10.1007/11762256_21

    Chapter  Google Scholar 

  29. Sultan, M., Miranskyy, A.: Ordering stakeholder viewpoint concerns for holistic enterprise architecture: the W6H framework. In: Proceedings of the 33rd Annual ACM Symposium on Applied Computing, (SAC), pp. 78–85. ACM (2018). https://doi.org/10.1145/3167132.3167137

  30. Thonet, T., Cabanac, G., Boughanem, M., Pinel-Sauvagnat, K.: Users are known by the company they keep: topic models for viewpoint discovery in social networks. In: Conference on Information and Knowledge Management (CIKM) (2017). https://doi.org/10.1145/3132847.3132897

  31. Vrandecic, D., Krötzsch, M.: Wikidata: a free collaborative knowledgebase. Commun. ACM 57(10), 78–85 (2014). https://doi.org/10.1145/2629489

    Article  Google Scholar 

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Acknowledgement

Supported by the Leibniz-ScienceCampus Postdigital Participation funded by the Leibniz Association (Leibniz-Gemeinschaft).

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Correspondence to Florian Plötzky .

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Plötzky, F., Britz, K., Balke, WT. (2023). Shards of Knowledge – Modeling Attributions for Event-Centric Knowledge Graphs. In: Almeida, J.P.A., Borbinha, J., Guizzardi, G., Link, S., Zdravkovic, J. (eds) Conceptual Modeling. ER 2023. Lecture Notes in Computer Science, vol 14320. Springer, Cham. https://doi.org/10.1007/978-3-031-47262-6_14

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  • DOI: https://doi.org/10.1007/978-3-031-47262-6_14

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