We will present our botanical knowledge portal, which uses Semantic Mediawiki (SMW) to store and display structured data extracted from the Flora of North America (FNA), and to integrate this data with an open biodiversity knowledge graph. SMW provides users with a familiar interface for browsing, filtering, and querying semantic data without the need to learn (or even be aware of) semantic web technologies such as RDF (the Resource Description Framework) and SPARQL (the SPARQL Protocol and RDF Query Language). In the case of the portal, this allows users to query taxonomic treatments based on: the characters and character states of taxa, including phenology and habitat; invasiveness and conservation status; occurrences; and any other information contained in the knowledge graph. Data from other sources is integrated via an RDF triplestore, and the provenance of this data is managed by maintaining distinct named graphs for each source. We are planning to provide the ability to edit treatments, and to find and annotate associated resources

We will describe our procedures for extracting knowledge from FNA and importing it into SMW, including a methodology we developed for classifying habitat descriptions (which are notoriously unstructured) along dimensions that are useful when querying and filtering, such as wet/dry; open/closed; sloped/flat; etc.

We will also describe the structure of our biodiversity knowledge graph, demonstrate how human and software agents (such as the portal) can interact with it, and invite collaboration in its continued construction.