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SUMMARY:Jlpigraf.jl\, a package for data retrieval and table merging with 
 the Epigraf API - Georg Hertkorn\, Jakob Jünger
DTSTART;TZID=Europe/Berlin:20260813T123000
DTEND;TZID=Europe/Berlin:20260813T130000
DTSTAMP:20260804T031038Z
UID:pretalx-juliacon-2026-JZDMMR@pretalx.com
DESCRIPTION:We present the Jlpigraf package for interacting with the Epigr
 af API. [Epigraf](https://github.com/digicademy/epigraf) is an open-source
  research platform designed for the collection\, annotation\, linking\, an
 d publication of multimodal text data. Its data model supports research da
 tabases ranging from epistolary editions to social media corpora. Currentl
 y\, Epigraf is primarily used for editing epigraphic data — inscriptions
  in connection with the objects to which they are attached. The platform i
 ncludes a publication system for various document formats\, such as Word a
 nd TEI\, as well as structured JSON\, XML\, and CSV data and triples in TT
 L\, JSON-LD\, and RDF/XML. Thus\, Epigraf is building a bridge between tra
 ditional editorial work and computational humanities.\n\nUntil now\, the [
 Rpigraf R](https://github.com/datavana/rpigraf) package is provided to int
 eract with the Epigraf API. The Jlpigraf package brings a significant port
 ion of Rpigraf's functionality to the Julia programming language. The goal
  is twofold. Firstly\, implementing the package leverages the performance 
 and syntax advantages of Julia for data analysis and processing in the hum
 anities. Secondly\, Epigraf originated in a specific humanities research c
 ontext\, and we are working to open the platform up to other disciplines a
 nd research communities.\n\nEpigraf uses the [Relational Article Model](ht
 tps://epigraf.inschriften.net/help/coreconcepts/model) (RAM) to internally
  manage the database content. The basic building blocks are articles group
 ed into projects and subdivided into sections that contain items. Items ho
 ld the specific data such as text\, image file names or references to cate
 gories.  Articles are linked to category systems directly via tagging them
  in items or via in-text annotations. Examples of category systems include
  bibliographic references\, persons and locations\, authority data\, and i
 n-text annotation vocabularies. The RAM's building blocks are then mapped 
 to the specific research domain.\n\nThe Jlpigraf package has the following
  core tasks (work in progress):\n1.	Interacting with the Epigraf API\, inc
 luding authentication\, data fetching\, and data manipulation.\n2.	Extract
 ing\, joining and transforming RAM data.\n3.	Handling hierarchical data an
 d tree structures.\nThus\, the package relieves the user of frequently rec
 urring tasks. It provides easy access to the corpora stored in Epigraf. A 
 basic understanding of the Relational Article Model's structure is suffici
 ent to work with the data. The poster illustrates the RAM structure and ho
 w Jlapigraf operates. It also shows the building blocks that enable users 
 to design various analysis scenarios with scripts.
LOCATION:Alte Mensa — Audi Max
URL:https://pretalx.com/juliacon-2026/talk/JZDMMR/
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