Do it your own (DIY) jeopardy question answering system
André Freitas, Edward Curry · 2013
The evolution and maturity of semantic technologies techniques and frameworks are bringing functionalities which were once considered academic or prototyp-ical into real-life applications. Products such as IBM Watson [1] and Siri are examples of applications which are heavily leveraged on state-of-the-art seman-tic technologies. These systems provide a synthesis of the functionalities which are available for general applications today such as: natural language search and queries over large-scale data, semantic flexibility and integration between struc-tured and unstructured resources. The success of these projects in demonstrating the potential of existing technologies lies on the fact that they bring into a sin-gle system approaches from Natural Language Processing (NLP), Semantic Web (SW), Information Retrieval (IR) and Databases. This work demonstrates Treo, a framework which converges elements from NLP, IR, SW and Databases, to create a semantic search engine and question an-swering (QA) system for heterogeneous data. Jeopardy and Question Answering queries over open domain structured and unstructured data are used to demon-