SIG:GraphTechnologies

Introduction

As TEI is not a format, though many people think it is. It's a de facto standard that specifies Guidelines for document interchange. Actually the Guidelines are based on the XML but this is only one possible technical way of expressing the phenomenons.

The aim of the Graph-SIG is to find a way of expressing the language phenomenons of the TEI in Graphs.

• In the graph you can use multi-hierarchical annotations layers.
• Graph models are very easy to read and understand. So DH-People and “normal” scientists have a level of discussion in common.
• A Graph can be expressed as RDF so the step from a Graph to linked open data is easy to make.

The main goal of the TEI-Graph-SIG is to model the textual phenomenons of the TEI in a Graph and to develop routines to import TEI-encoded XML-files into graph databases.

Convert DTA-XML with neo4j to Standoff Property JSON

In a first step we import a small xml-example into a neo4j instance using apoc.import.xml

The example is a page from the DTA. Here you can find the XML-Testfile and this is the Link to the DTA-Version.

Import to neo4j

The import to neo4j runs with:

// Import xml-example from DTA to neo4j
call apoc.xml.import('https://seafile.rlp.net/f/6282a26504cc4f079ab9/?dl=1', {connectCharacters: true, charactersForTag:{lb:' '}, filterLeadingWhitespace: true}) yield node 
return node;

In the next picture you can see a small set of the Graph:

Export from neo4j to Standoff Property JSON

The next step is to export the data with some cypher to the Standoff-Property JSON-Format. This json can then be imported in the [SPEEDy] Standoff Property Editor which can be found on [GitHub].

At the end of the README-Section you can find a [Link] to Test-Istance hosted on [Github-Pages].

Just copy the json in the window below the UNBIND-Button and press BIND.