A novel architecture is presented for the matching of web-services based on the extraction of interpretation graphs from natural language text. The graphs of candidate services are compared to that of the query using a numerical node-node similarity calculation based on the structure of the graphs. The similarity score of their best alignment with the query may then be used to rank the candidates.
['Joe Geldart', 'William Song', 'Yang Li']
Matchmaking Using Natural Language Descriptions: Linking Customers with Enterprise Service Descriptions