Epistemic logic for metadata modelling from scientific papers on Covid-19
DOI:
https://doi.org/10.23756/sp.v9i2.652Keywords:
epistemic logic, applied non-classical logics, metadata modelling, COVID-19 pandemicAbstract
The field of epistemic logic developed into an interdisciplinary area focused on explicating epistemic issues in, for example, artificial intelligence, computer security, game theory, economics, multiagent systems and the social sciences. Inspired, in part, by issues in these different ‘application’ areas, in this paper I propose an epistemic logic T for metadata extracted from scientific papers on COVID-19. More in details, I introduce a structure S to syntactically and semantically modelling metadata extracted with systems for extracting structured metadata from scientific articles in a born-digital form. These systems will be considered, in the logical model created, as ‘Metadata extraction agents’ (MEA). In this case MEA taken into consideration are CERMINE and TeamBeam. In an increasingly data-driven world, modelling data or metadata means to help systematise existing information and support the research community in building solutions to the COVID-19 pandemic.
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References
Bonanno, P., Battigalli, G. 1999, ‘Recent results on belief, knowledge and the epistemic foundations of game theory’, Research in Economics, Volume 53, Issue 2, pp. 149-225.
Chen, J., Wang, R., Benovich Gilby N., Wei G-W., ‘Omicron (B.1.1.529): Infectivity, vaccine breakthrough, and antibody resistance’ (forthcoming).
Cuconato, S. 2021, ‘Epistemic logic and CERMINE: a logical model for automatic extraction of structured metadata’, Science & Philosophy – Journal of Epistemology, Science and Philosophy, 9 (1), pp. 161-172.
Fagin, R., Halpern, J. Y., Moses, Y., Vardi, M. Y. 1995, Reasoning About Knowledge. The MIT Press: Cambridge.
Graham, M. J. 2012, ‘The art of data science’, In Astrostatistics and Data Mining, Springer Series in Astrostatistics, Vol. 2. 47—59.
Hintikka, J. 1962, Knowledge and Belief: An Introduction to the Logic of the Two Notions, Second edition, Vincent F. Hendriks and John Symons (eds.), (Texts in Philosophy, 1), London: College Publications.
Hintikka, J. 1986, ‘Reasoning about knowledge in philosophy’, In J. Y. Halpern, editor, Procedings of TARK, Morgan Kaufmann: San Mateo, CA.
Hua Li, Zhe Liu, Junbo Ge, 2020, ‘Scientific research progress of COVID-19/SARS-CoV-2 in the first five months’, Journal of Cellular and Molecular Medicine.
Jackson M. and Zenou, Y. 2014, ‘Games on networks’, In Peyton Young and Shmuel Zamir, editors, Handbook of Game Theory, volume 4. Elsevier Science.
Kern, R., Jack, K., Hristakeva, Granitzer, M. 2012, ‘TeamBeam - Meta-Data Extraction from Scientific Literature’, Computer Science D Lib Mag.
Meyer, Ch. and van der Hoek, W. 1995, Epistemic Logic for AI and Computer Science, Cambridge University Press.
J. Pomerantz. Metadata, MIT Press Ltd. 2015.
NISO 2004, Understanding metadata, 4733 Bethesda Avenue, Suite 300, Bethesda, MD 20814 USA: NISO
Puoci, F., Parisi, O. I. 2020, ‘‘Monoclonal-type’’ plastic antibodies for SARS-CoV-2 based on Molecularly Imprinted Polymers’ (forthcoming).
Rovella, A. 2019, ‘Metadata consistency and coherence in the digital management and preservation process of administrative records’, AIDAInformazioni, numero 1-2, pp. 75-97.
Tkaczyk, D., Szostek, P., Jan Dendek, P., Fedoryszak, M., Bolikowski. Ł. 2014, ‘CERMINE — automatic extraction of metadata and references from scientific literature’, Conference: 2014 11th IAPR International Workshop on Document Analysis Systems.
Tkaczyk, D., Szostek, P., Jan Dendek, P., Fedoryszak, M., Bolikowski. Ł. 2015, ‘CERMINE — automatic extraction of metadata and references from scientific literature’, International Journal on Document Analysis and Recognition (IJDAR). Springer.
van Ditmarsch, H., van der Hoek, W. and Kooi, B. 2007, Dynamic Epistemic Logic, Synthese Library, Volume 337, Netherlands: Springer.
van Ditmarsch, H., Halpern, J., van Der Hoek, W. and Kooi, B. 2015, Handbook of Epistemic Logic, College Publications.
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