Boccuzzi2020_Chapter_IdentifyingClassifyingAndSearc.pdf

The use of graphic symbols in documentary records from the 5th to the 9th century has so far received scant attention. What we mean by graphic symbols are graphic signs (including alphabetical ones) drawn as a visual unit in a written text and representing something other or something more than a wo...

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Γλώσσα:English
Έκδοση: Springer Nature 2020
Διαθέσιμο Online:https://link.springer.com/content/pdf/10.1007%2F978-3-030-39905-4_12.pdf
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spelling oapen-20.500.12657-398792020-06-25T00:37:45Z Chapter Identifying, Classifying and Searching Graphic Symbols in the NOTAE System BOCCUZZI, Maria CATARCI, Tiziana Deodati, Luca Fantoli, Andrea GHIGNOLI, ANTONELLA Leotta, Francesco Mecella, Massimo Monte, Anna SIETIS, NINA graphic symbols paleography image processing clustering bic Book Industry Communication::G Reference, information & interdisciplinary subjects The use of graphic symbols in documentary records from the 5th to the 9th century has so far received scant attention. What we mean by graphic symbols are graphic signs (including alphabetical ones) drawn as a visual unit in a written text and representing something other or something more than a word of that text. The Project NOTAE represents the first attempt to investigate these graphic entities as a historical phenomenon from Late Antiquity to early medieval Europe in any written sources containing texts generated for pragmatic purposes (contracts, petitions, official and private letters, lists etc.). Identifying and classifying graphic symbols on such documents is a task that requires experience and knowledge of the field, but software applications may come in help by learning to recognize symbols from previously annotated documents and suggesting experts potential symbols and likely classification in newly acquired documents to be validated, thus easing the task. This contribution introduces the NOTAE system that, in addition to the aforementioned task, provides non expert users with tools to explore the documents annotated by experts. 2020-06-24T08:22:16Z 2020-06-24T08:22:16Z 2020 chapter https://library.oapen.org/handle/20.500.12657/39879 eng application/pdf Attribution 4.0 International Boccuzzi2020_Chapter_IdentifyingClassifyingAndSearc.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-030-39905-4_12.pdf Springer Nature Digital Libraries 10.1007/978-3-030-39905-4_12 10.1007/978-3-030-39905-4_12 6c6992af-b843-4f46-859c-f6e9998e40d5 7c938d2f-ddca-4798-af6d-4e5f059bc2f0 178e65b9-dd53-4922-b85c-0aaa74fce079 European Research Council (ERC) 12 786572 Identifying, Classifying and Searching Graphic Symbols in the NOTAE System H2020 European Research Council H2020 Excellent Science - European Research Council open access
institution OAPEN
collection DSpace
language English
description The use of graphic symbols in documentary records from the 5th to the 9th century has so far received scant attention. What we mean by graphic symbols are graphic signs (including alphabetical ones) drawn as a visual unit in a written text and representing something other or something more than a word of that text. The Project NOTAE represents the first attempt to investigate these graphic entities as a historical phenomenon from Late Antiquity to early medieval Europe in any written sources containing texts generated for pragmatic purposes (contracts, petitions, official and private letters, lists etc.). Identifying and classifying graphic symbols on such documents is a task that requires experience and knowledge of the field, but software applications may come in help by learning to recognize symbols from previously annotated documents and suggesting experts potential symbols and likely classification in newly acquired documents to be validated, thus easing the task. This contribution introduces the NOTAE system that, in addition to the aforementioned task, provides non expert users with tools to explore the documents annotated by experts.
title Boccuzzi2020_Chapter_IdentifyingClassifyingAndSearc.pdf
spellingShingle Boccuzzi2020_Chapter_IdentifyingClassifyingAndSearc.pdf
title_short Boccuzzi2020_Chapter_IdentifyingClassifyingAndSearc.pdf
title_full Boccuzzi2020_Chapter_IdentifyingClassifyingAndSearc.pdf
title_fullStr Boccuzzi2020_Chapter_IdentifyingClassifyingAndSearc.pdf
title_full_unstemmed Boccuzzi2020_Chapter_IdentifyingClassifyingAndSearc.pdf
title_sort boccuzzi2020_chapter_identifyingclassifyingandsearc.pdf
publisher Springer Nature
publishDate 2020
url https://link.springer.com/content/pdf/10.1007%2F978-3-030-39905-4_12.pdf
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