Martin Blersch
Mathias Landhäußer
ABSTRACT
Intelligent assistants are becoming widespread. A popular method for creating intelligent assistants is modeling the domain (and thus the assistant's capabilities) as Active Ontology. Adding new functionality requires extending the ontology or building new ones; as of today, this process is manual.
We describe an automated method for creating Active Ontologies for arbitrary web forms. Our approach leverages methods from natural language processing and data mining to synthesize the ontologies. Furthermore, our tool generates the code needed to process user input.
We evaluate the generated Active Ontologies in three case studies using web forms from the UIUC Web Integration Repository, namely from the domains airfare, automobile, and book search. First, we examine how much of the generation process can be automated and how well the approach identifies domain concepts and their relations. Second, we test how well the generated Active Ontologies handle end-user input to perform the desired actions. In our evaluation, Easier automatically generates 65% of the Active Ontologies' sensor nodes; the generated ontology for airfare search correctly answers 70% of the queries.
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Index Terms
- Semi-automatic generation of active ontologies from web forms for intelligent assistants
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