Proceedings Abstracts of the Twenty-Fifth International Joint Conference on Artificial Intelligence

Thou Shalt ASQFor and Shalt Receive the Semantic Answer / 4264
Muhammad Rizwan Saeed, Charalampos Chelmis, Viktor K. Prasanna

The combination of data, semantics, and the Web has led to an ever growing and increasingly complex body of semantic data. Accessing such structured data requires learning formal query languages, such as SPARQL, which poses significant difficulties for non-expert users. Many existing interfaces for querying Ontologies are based on approaches that rely on predefined templates and require expensive customization. To avoid the pitfalls of existing approaches, while at the same time retaining the ability to capture users' complex information needs, we have developed a simple keyword-based search interface to the Semantic Web. In this demonstration, we will present ASQFor, a systematic framework for automated SPARQL query formulation and execution over RDF repository using simple concept-based search primitives. Allowing end-users to express simple queries based on a list of "key-value" pairs that are then translated on-the-fly into SPARQL queries is a hard problem. In this demonstration, we will discuss the challenges that we have addressed to bring ASQFor to real practice, and also the difficult problems that remain to be solved in future work. During our demonstration, we will show how ASQFor can be used for decision support as well as an intelligent Q/A System.