A New Representation of WordNet Using Graph Databases
WordNet is one of the most important resources in computation linguistics. The semantically related database of English terms is widely used in text analysis and retrieval domains, which constitute typical features, employed by social networks and other modern Web 2.0 applications. Under the hood, WordNet can be seen as a sort of read-only social network relating its language terms. In the authors' work, they implement a new storage technique for WordNet based on graph databases. Graph databases are a major pillar of the NoSQL movement with lots of emerging products, such as Neo4j. In this paper, they present two Neo4j graph storage representations for the WordNet dictionary. They analyze their performance and compare them to other traditional storage models.