This is the main documentation page for those looking to edit the Plant Humanities Knowledge Graph. Please look here for information associated with knowledge graph creation and updates about the Plants Humanities project.
In September 2018 Dumbarton Oaks and JSTOR Labs received partner grants from the National Endowment for the Humanities (NEH) to advance a Plant Humanities Initiative. These grants integrate elements of the digital humanities with scholarly programming, to set forth a new, interdisciplinary field that communicates the unparalleled significance of plants to human culture. The grant has three main goals: to provide innovative research and professional development opportunities for early-career humanists; to create a digital tool informed by the insights and needs of teachers and students as well as librarians and technical experts; and to supplement existing digitized resources with new primary source material, contextualize them, and disseminate them.
This knowledge graph aims to compliment that digital tool while extending current digitized resources. As such it employs Resource Description Framework (RDF) metadata standards that allow researchers to contribute to a semantic web architecture by cataloguing, navigating, and organizing data surrounding the cultural history of plants.
JSTOR Labs Plant Humanities Knowledge Graph (https://kg.jstor.org/wiki/Plants_humanities) emulates the technical and philosophical architecture of Wikidata. It is a collaboratively edited knowledge base committed to producing linked open data under a public domain license.
Conceptually, this graph grew from the seed of Dumbarton Oaks' vast collection of herbals. While initial conversations centered on defining networks of catalogued plants, they rapidly expanded into exploring and recording the people involved in the creation and amelioration of these books. Not wanting to limit ourselves to traditional cataloguing ontologies, we have included ways of expressing this data beyond modern taxonomies. Where available, we include the ability to record things such as traditional uses, Galenic properties, and historic names. We additionally grant the ability to link to modern plant taxonomies. The benefit of a linked open data architecture is that these ontologies are not set in stone. Please let us know (via EMAIL?) if there are any other properties we should include.
TODO: discuss structure of knowledge graph. People -> Herbals -> Plants -> Uses
The Plant Humanities Knowledge Graph is a document-oriented database focused on items, which represent topics, concepts, or objects. Each item is identified by a unique, "PID," number that enables basic information about an item to be stored without favoring any particular language. Fundamentally, an item consists of a label, a description, and some number of statements.
Editing and Contributing
This section will include information about updating the Plant Humanities KG. It will be broken down into the following sections:
This will include information about editing or creating an individual KG page.
Individual Knowledge graph entries can be updated or created manually once a user name has been created. To add individual items:
- Click on the Add New Item tag (https://kg.jstor.org/wiki/Special:NewItem) on the left tool bar.
- Enter a label, description, and alias (if applicable). Click create.
- Enter any additional properties. A master list of properties can be found here (https://kg.jstor.org/wiki/Special:ListProperties)
- At this time, we only support images added from the Bioheritage Diversity Library (https://www.biodiversitylibrary.org/). Thus, if adding an herbal or book, please locate it on this system and add the DOI under full work available at (P134) (https://kg.jstor.org/wiki/Property:P134)
- If looking to add a linked property, for example, mentions in JSTOR Global Plants (https://plants.jstor.org/)... (fill this in)
This will include information for the fellows about updating the KG via worksheets.
Will hold off on updating until this workflow is in place.
KG Query Service
The Labs Knowledge Graph Query Service (https://kg-query.jstor.org/) employs the standard SPARQL language to retrieve and manipulate data stored in the RDF format. SPARQL allows users to write queries as triples, conjunctions, disjunctions, and optional patterns. For more information on querying the Plant Humanities Knowledge Graph along with sample SPARQL queries please see our Plant Humanities Knowledge Graph Wiki.