  In this work we discuss the related challenges and describe an approach
towards the fusion of state-of-the-art technologies from the Spoken Dialogue
Systems (SDS) and the Semantic Web and Information Retrieval domains. We
envision a dialogue system named LD-SDS that will support advanced, expressive,
and engaging user requests, over multiple, complex, rich, and open-domain data
sources that will leverage the wealth of the available Linked Data.
Specifically, we focus on: a) improving the identification, disambiguation and
linking of entities occurring in data sources and user input; b) offering
advanced query services for exploiting the semantics of the data, with
reasoning and exploratory capabilities; and c) expanding the typical
information seeking dialogue model (slot filling) to better reflect real-world
conversational search scenarios.
