GazetteersScotland-KG: A Knowlege Graph for representing the Gazetteers of Scotland (1803-1901)

<p>This Knowlege Graph represents the information of the &quot;Gazeteers of Scotland<strong>&quot;</strong> (years: 1803 - 1901) collection in RDF (ttl format). This collection comprises twenty volumes of the most popular descriptive gazetteers of Scotland in the 19th century. Principal places in Scotland, including towns, counties, castles, glens, antiquities and parishes, are listed alphabetically. Each entry includes detailed historical and geographical information about each place.&nbsp; The raw dataset is provided by the NLS in this <a href="https://data.nls.uk/data/digitised-collections/gazetteers-of-scotland/">link</a>. As&nbsp; other NLS data collections, they are originally provided using two XMLs schemas: METS&nbsp; for descriptive, structural, technical and administrative metadata (Title, Author, Publisher, etc); and ALTO&nbsp; for encoding the OCR text of a page.</p> <p>In this work, we have extracted the information from METS and ALTO XMLS using <a href="https://github.com/francesNLP/defoe">defoe</a> tool and developed a <a href="https://github.com/francesNLP/defoe/blob/master/defoe/nls/queries/write_metadata_pages_yml.py">new information extraction defoe query</a> , and created a new Knowlege Graph called GazetteersScotland-KG.&nbsp; The GazetteersScotland-KG uses the <a href="https://francesnlp.github.io/NLS-ontology/doc/index-en.html">NLS Ontology </a>to represent the information extracted. Furthermore, during the information extraction phase, we have employed several techniques to mitigate two common OCR errors: long-S and the line-break hyphenation.</p> <p>The GazetteersScotland-KG contains&nbsp;354,998 RDF triples. It has information from 12 series and 20 volumes: Each serie can have several Volumes. Each serie has an Editorm Publisher, mmsid, Shelf-Locator, publication year, etc.&nbsp; A Volume has several Pages,&nbsp; with text in them. The data model of the GazetteersScotland-KG can be found <a href="https://francesnlp.github.io/NLS-ontology/doc/dataModel.png">here</a>.</p> <pre> &nbsp;</pre>