With growing interest in the creation and search of linguistic annotations that form general graphs (in contrast to formally simpler, rooted trees), there also is an increased need for infrastructures that support the exploration of such representations, for example logical-form meaning representations or semantic dependency graphs. In this work, we lean heavily on semantic technologies and in particular the data model of the Resource Description Framework (RDF) to represent, store, and efficiently query very large collections of text annotated with graph-structured representations of sentence meaning. Our full infrastructure is available under open-source licensing, and through this system demonstration we hope to receive feedback on the general approach, explore its application to additional types of meaning representation, and attract new users and possibly co-developers.
['Milen Kouylekov', 'Stephan Oepen']
RDF Triple Stores and a Custom SPARQL Front-End for Indexing and Searching (Very) Large Semantic Networks