Presenters
Kolja Bailly (@baillyk)
Abstract
ANTELOPE (Annotation, Terminology Lookup and Personalization) is a comprehensive annotation service developed at TIB. The service serves as a single point of access to a plethora of terminology sources across the semantic web. At that, it bundles several machine learning approaches to alleviate retrieval of candidate entities for annotation. The service is available through an integrated user interface, as well as a customisable API.
Comprehensive user research within the NFDI4Culture community (German national research data infrastructure for the cultural domain) has revealed a demand for services aiding the annotation process in GLAM: Retrieval of entities from different terminology searches based on a simple term, fulltext, or image is a specialised and time consuming task. ANTELOPE supports these tasks with a lean interface that abstracts state-of-the-art natural language processing, classification, and information retrieval techniques.
More precisely, ANTELOPE currently provides three search interfaces: Straightforward, terminology search applies a given term to designated terminology sources and presents results in a distinctive hierarchy graph. Entity recognition accepts fulltext input that supplies contextual information for narrowed down results. Image recognition accepts image files instead and applies powerful image classifiers to bridge multimedia approaches. Ultimately, there will be a universal results interface that allows entity selection, storage and export.