ZBÍRAL, David, Robert Laurence John SHAW, Tomáš HAMPEJS a Adam MERTEL. Maximising the Power of Semantic Textual Data : CASTEMO Data Collection and the InkVisitor Application. In DH2023: Collaboration as Opportunity, 10.-14. 07. 2023, Graz. 2023.
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Základní údaje
Originální název Maximising the Power of Semantic Textual Data : CASTEMO Data Collection and the InkVisitor Application
Název anglicky Maximising the Power of Semantic Textual Data : CASTEMO Data Collection and the InkVisitor Application
Autoři ZBÍRAL, David, Robert Laurence John SHAW, Tomáš HAMPEJS a Adam MERTEL.
Vydání DH2023: Collaboration as Opportunity, 10.-14. 07. 2023, Graz, 2023.
Další údaje
Typ výsledku Prezentace na konferencích
Utajení není předmětem státního či obchodního tajemství
Klíčová slova česky sémantické modelování textu; digital humanities; inkvizice
Klíčová slova anglicky semantic text modelling; digital humanities; inquisition
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Mgr. Jolana Navrátilová, učo 22838. Změněno: 15. 12. 2023 10:19.
Anotace
The authors present Computer-Assisted Semantic Text Modelling (CASTEMO), a novel but now well-developed approach to transformation of textual resources into rich structured data, CASTEMO knowledge graphs, stored in JSON-based document databases. They also introduce the open-source InkVisitor research environment which assists in CASTEMO data collection workflow. Both the workflow and the environment were developed within the ERC-funded Dissident Networks Project (DISSINET] but are now made available to use by other researchers and projects. The CASTEMO data collection approach aims to preserve the rich qualitative texture of texts and at the same time produce structured data suitable for computational analysis. It preserves the contextual embeddedness of knowledge and the natural features of human knowledge, such as conflicting evidence and information given in a non-indicative modality, e.g. questions and conditional sentences. It thus answers a significant challenge in the digital study of texts, where a decision must often be taken to prefer extracting content or analysing discursive features, as well as whether to focus on distant or close reading. With CASTEMO, these levels can be readily interwoven into “scalable reading”. This presentation introduces the essential data modelling principles of CASTEMO, as well as its use cases and advantages for certain types of study. It also introduces the InkVisitor research environment.
Anotace anglicky
The authors present Computer-Assisted Semantic Text Modelling (CASTEMO), a novel but now well-developed approach to transformation of textual resources into rich structured data, CASTEMO knowledge graphs, stored in JSON-based document databases. They also introduce the open-source InkVisitor research environment which assists in CASTEMO data collection workflow. Both the workflow and the environment were developed within the ERC-funded Dissident Networks Project (DISSINET] but are now made available to use by other researchers and projects. The CASTEMO data collection approach aims to preserve the rich qualitative texture of texts and at the same time produce structured data suitable for computational analysis. It preserves the contextual embeddedness of knowledge and the natural features of human knowledge, such as conflicting evidence and information given in a non-indicative modality, e.g. questions and conditional sentences. It thus answers a significant challenge in the digital study of texts, where a decision must often be taken to prefer extracting content or analysing discursive features, as well as whether to focus on distant or close reading. With CASTEMO, these levels can be readily interwoven into “scalable reading”. This presentation introduces the essential data modelling principles of CASTEMO, as well as its use cases and advantages for certain types of study. It also introduces the InkVisitor research environment.
Návaznosti
101000442, interní kód MUNázev: Networks of Dissent: Computational Modelling of Dissident and Inquisitorial Cultures in Medieval Europe (Akronym: DISSINET)
Investor: Evropská unie, Networks of Dissent: Computational Modelling of Dissident and Inquisitorial Cultures in Medieval Europe, ERC (Excellent Science)
VytisknoutZobrazeno: 23. 8. 2024 01:35