Causal reasoning and symbolic relationships in Medieval Illuminations

This work applies knowledge engineering’s techniques to medieval illuminations. Inside it, an illumination is considered as a knowledge graph which was used by some elites in the Middle Ages to represent themselves as a social group and exhibit the events in their lives, and their cultural values. T...
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Autor*in:	Djibril Diarra [verfasserIn] Martine Clouzot [verfasserIn] Christophe Nicolle [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	symbolic relation semantic relation medieval illumination social network ontology [info.info-ai]computer science [cs]/artificial intelligence [cs.ai] [info.info-db]computer science [cs]/databases [cs.db] [info.info-si]computer science [cs]/social and information networks [cs.si] [info.info-se]computer science [cs]/software engineering [cs.se] [info.info-cy]computer science [cs]/computers and society [cs.cy] [info.info-wb]computer science [cs]/web

Übergeordnetes Werk:	In: Journal of Data Mining and Digital Humanities - Nicolas Turenne, 2015, (2019)
Übergeordnetes Werk:	year:2019

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.46298/jdmdh.4459

Katalog-ID:	DOAJ095169660

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spelling	10.46298/jdmdh.4459 doi (DE-627)DOAJ095169660 (DE-599)DOAJab3343422bc54781b1ddc0d26839803e DE-627 ger DE-627 rakwb eng AZ20-999 Djibril Diarra verfasserin aut Causal reasoning and symbolic relationships in Medieval Illuminations 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This work applies knowledge engineering’s techniques to medieval illuminations. Inside it, an illumination is considered as a knowledge graph which was used by some elites in the Middle Ages to represent themselves as a social group and exhibit the events in their lives, and their cultural values. That graph is based on combinations of symbolic elements linked each to others with semantic relations. Those combinations were used to encode visual metaphors and influential messages whose interpretations are sometimes tricky for not experts. Our work aims to describe the meaning of those elements through logical modelling using ontologies. To achieve that, we construct logical reasoning rules and simulate them using artificial intelligence mechanisms. The goal is to facilitate the interpretation of illuminations and provide, in a future evolution of current social media, logical formalisation of new encoding and information transmission services. symbolic relation semantic relation medieval illumination social network ontology [info.info-ai]computer science [cs]/artificial intelligence [cs.ai] [info.info-db]computer science [cs]/databases [cs.db] [info.info-si]computer science [cs]/social and information networks [cs.si] [info.info-se]computer science [cs]/software engineering [cs.se] [info.info-cy]computer science [cs]/computers and society [cs.cy] [info.info-wb]computer science [cs]/web History of scholarship and learning. The humanities Bibliography. Library science. Information resources Z Martine Clouzot verfasserin aut Christophe Nicolle verfasserin aut In Journal of Data Mining and Digital Humanities Nicolas Turenne, 2015 (2019) (DE-627)837593239 (DE-600)2837663-8 24165999 nnns year:2019 https://doi.org/10.46298/jdmdh.4459 kostenfrei https://doaj.org/article/ab3343422bc54781b1ddc0d26839803e kostenfrei https://jdmdh.episciences.org/4459/pdf kostenfrei https://doaj.org/toc/2416-5999 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019
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allfieldsGer	10.46298/jdmdh.4459 doi (DE-627)DOAJ095169660 (DE-599)DOAJab3343422bc54781b1ddc0d26839803e DE-627 ger DE-627 rakwb eng AZ20-999 Djibril Diarra verfasserin aut Causal reasoning and symbolic relationships in Medieval Illuminations 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This work applies knowledge engineering’s techniques to medieval illuminations. Inside it, an illumination is considered as a knowledge graph which was used by some elites in the Middle Ages to represent themselves as a social group and exhibit the events in their lives, and their cultural values. That graph is based on combinations of symbolic elements linked each to others with semantic relations. Those combinations were used to encode visual metaphors and influential messages whose interpretations are sometimes tricky for not experts. Our work aims to describe the meaning of those elements through logical modelling using ontologies. To achieve that, we construct logical reasoning rules and simulate them using artificial intelligence mechanisms. The goal is to facilitate the interpretation of illuminations and provide, in a future evolution of current social media, logical formalisation of new encoding and information transmission services. symbolic relation semantic relation medieval illumination social network ontology [info.info-ai]computer science [cs]/artificial intelligence [cs.ai] [info.info-db]computer science [cs]/databases [cs.db] [info.info-si]computer science [cs]/social and information networks [cs.si] [info.info-se]computer science [cs]/software engineering [cs.se] [info.info-cy]computer science [cs]/computers and society [cs.cy] [info.info-wb]computer science [cs]/web History of scholarship and learning. The humanities Bibliography. Library science. Information resources Z Martine Clouzot verfasserin aut Christophe Nicolle verfasserin aut In Journal of Data Mining and Digital Humanities Nicolas Turenne, 2015 (2019) (DE-627)837593239 (DE-600)2837663-8 24165999 nnns year:2019 https://doi.org/10.46298/jdmdh.4459 kostenfrei https://doaj.org/article/ab3343422bc54781b1ddc0d26839803e kostenfrei https://jdmdh.episciences.org/4459/pdf kostenfrei https://doaj.org/toc/2416-5999 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019
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callnumber-first	A - General Works
author	Djibril Diarra
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topic_title	AZ20-999 Causal reasoning and symbolic relationships in Medieval Illuminations symbolic relation semantic relation medieval illumination social network ontology [info.info-ai]computer science [cs]/artificial intelligence [cs.ai] [info.info-db]computer science [cs]/databases [cs.db] [info.info-si]computer science [cs]/social and information networks [cs.si] [info.info-se]computer science [cs]/software engineering [cs.se] [info.info-cy]computer science [cs]/computers and society [cs.cy] [info.info-wb]computer science [cs]/web
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title	Causal reasoning and symbolic relationships in Medieval Illuminations
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title_full	Causal reasoning and symbolic relationships in Medieval Illuminations
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title_sort	causal reasoning and symbolic relationships in medieval illuminations
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title_auth	Causal reasoning and symbolic relationships in Medieval Illuminations
abstract	This work applies knowledge engineering’s techniques to medieval illuminations. Inside it, an illumination is considered as a knowledge graph which was used by some elites in the Middle Ages to represent themselves as a social group and exhibit the events in their lives, and their cultural values. That graph is based on combinations of symbolic elements linked each to others with semantic relations. Those combinations were used to encode visual metaphors and influential messages whose interpretations are sometimes tricky for not experts. Our work aims to describe the meaning of those elements through logical modelling using ontologies. To achieve that, we construct logical reasoning rules and simulate them using artificial intelligence mechanisms. The goal is to facilitate the interpretation of illuminations and provide, in a future evolution of current social media, logical formalisation of new encoding and information transmission services.
abstractGer	This work applies knowledge engineering’s techniques to medieval illuminations. Inside it, an illumination is considered as a knowledge graph which was used by some elites in the Middle Ages to represent themselves as a social group and exhibit the events in their lives, and their cultural values. That graph is based on combinations of symbolic elements linked each to others with semantic relations. Those combinations were used to encode visual metaphors and influential messages whose interpretations are sometimes tricky for not experts. Our work aims to describe the meaning of those elements through logical modelling using ontologies. To achieve that, we construct logical reasoning rules and simulate them using artificial intelligence mechanisms. The goal is to facilitate the interpretation of illuminations and provide, in a future evolution of current social media, logical formalisation of new encoding and information transmission services.
abstract_unstemmed	This work applies knowledge engineering’s techniques to medieval illuminations. Inside it, an illumination is considered as a knowledge graph which was used by some elites in the Middle Ages to represent themselves as a social group and exhibit the events in their lives, and their cultural values. That graph is based on combinations of symbolic elements linked each to others with semantic relations. Those combinations were used to encode visual metaphors and influential messages whose interpretations are sometimes tricky for not experts. Our work aims to describe the meaning of those elements through logical modelling using ontologies. To achieve that, we construct logical reasoning rules and simulate them using artificial intelligence mechanisms. The goal is to facilitate the interpretation of illuminations and provide, in a future evolution of current social media, logical formalisation of new encoding and information transmission services.
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title_short	Causal reasoning and symbolic relationships in Medieval Illuminations
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Causal reasoning and symbolic relationships in Medieval Illuminations

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