Automated page layout simplification of
            <i>Patrologia Graeca</i>

Robertson, Bruce; Dalitz, Christoph; Schmitt, Fabian

doi:10.1145/2595188.2595213

Cited by 3 publications

(3 citation statements)

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“…The applicability of our system is not limited by the specific language script and bypasses completely the use of OCR on PG. In short, applying OCR tools on PG, does not give good recognition results due to degraded printed texts, the irregularity of the page layout and the coexistence of Greek with the Latin texts (Robertson et al , 2014; Varthis et al , 2019b).…”

Section: Discussionmentioning

confidence: 99%

“…The total collection consists of 166 volumes (grouped as 161), has as many as 50 million words in Ancient Greek and the total number of PG pages is approximately 125000. PG works were produced over a period of 1500 years along with an even larger amount of footnotes and accompanying translations in Papadopoulos (1982), Robertson et al (2014) and Fédou and Fedou (2019).…”

Section: Review Of Work On Patrologia Graeca Web Presencementioning

confidence: 99%

“…OCR techniques have been applied on PG collection by Perseus Digital Library (PDL) [5] and the raw textual data [6] is offered to researchers with an interest in Ancient Greek and Latin for further study. OCR applications are also examined in the works of Robertson et al (2014) and Robertson and Boschetti (2017), while an OCR tool [7] is introduced by Robertson. Google has also applied OCR (Fujii, 2018) on the published volumes and its search engine offers links to some of the PG's terms.…”

Section: Optical Character Recognition and Word Spotting Techniquesmentioning

confidence: 99%

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Semantic enrichment on large scanned collections through their “satellite texts”: the paradigm of Migne’s Patrologia Graeca

Varthis

Tzanavaris

Giarenis

et al. 2021

IDD

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Purpose This paper aims to present a methodology for the semantic enrichment on the scanned collection of Migne’s Patrologia Graeca (PG), attempting to easily locate on the Web domain the scanned PG source, when a reference of this source is described and commented on another scanned or textual document, and to semantically enrich PG through related scanned or textual documents named “satellite texts” published by third people. The present enrichment of PG uses as satellite texts the Dorotheos Scholarios's Synoptic Index (DSSI) which act as metadata for PG. Design/methodology/approach The methodology consists of two parts. The first part addresses the DSSI transcription via a proper web tool. The second part is divided into two subsections: the accomplishment of interlinking the printed column numbers of each scanned PG page with its actual filename, which is the build of a matching function, and the build of a web interface for PG, based on the generated Uniform Resource Identifiers (URIs) of the above first subsection. Findings The result of the implemented methodology is a Web portal, capable of providing server-less search of topics with direct (single click) navigation to sources. The produced system is static, scalable, easy to be managed and requires minimal cost to be completed and maintained. The produced data sets of transcribed DSSI and the JavaScript Object Notation (JSON) matching functions are available for personal use of students and scholars under Creative Commons license (CC-BY-NC-SA). Social implications Scholars or anyone interested in a particular subject can easily locate topics in PG and reference them, using URIs that are easy to remember. This fact contributes significantly to the related scientific dialogue. Originality/value The methodology uses the transcribed satellite texts of DSSI, which act as metadata for PG, to semantically enrich PG collection. Furthermore, the built PG Web interface can be used by other satellite texts as a reference basis to further enrich PG, as it provides a direct identification of sources. The presented methodology is general and can be applied to any scanned collection using its own satellite texts.

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Section: Discussionmentioning

confidence: 99%

Section: Review Of Work On Patrologia Graeca Web Presencementioning

confidence: 99%

Section: Optical Character Recognition and Word Spotting Techniquesmentioning

confidence: 99%

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Semantic enrichment on large scanned collections through their “satellite texts”: the paradigm of Migne’s Patrologia Graeca

Varthis

Tzanavaris

Giarenis

et al. 2021

IDD

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Implementation of a Databaseless Web REST API for the Unstructured Texts of Migne's Patrologia Graeca with Searching capabilities and additional Semantic and Syntactic expandability

Varthis

Poulos

Yarenis

et al. 2019

Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage

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Large-Scale Optical Character Recognition of Ancient Greek

Robertson

Boschetti

2017

Mouseion

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This paper documents our campaign to undertake the large-scale optical character recognition of ancient, or polytonic, Greek. Building upon the Gamera OCR engine and developing a suite of post-processing tools, including automatic spellcheck, we processed 1,200 volumes comprising 329,002,271 Greek words. A sample of 10 pages is studied in detail; they demonstrate the degree to which each step of post-processing improved the results, and with which source documents. These pages attain an average character accuracy of about 96%. These results will provide a basis for further improvements, including the training of other open-source OCR engines.

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Automated page layout simplification of Patrologia Graeca

Cited by 3 publications

References 1 publication

Semantic enrichment on large scanned collections through their “satellite texts”: the paradigm of Migne’s Patrologia Graeca

Semantic enrichment on large scanned collections through their “satellite texts”: the paradigm of Migne’s Patrologia Graeca

Implementation of a Databaseless Web REST API for the Unstructured Texts of Migne's Patrologia Graeca with Searching capabilities and additional Semantic and Syntactic expandability

Large-Scale Optical Character Recognition of Ancient Greek

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