Abstract | ||
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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. |
Year | Venue | Field |
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2017 | arXiv: Information Retrieval | Information retrieval,Information seeking,Computer science,Linked data,Semantic Web,Conversational search,Semantics |
DocType | Volume | Citations |
Journal | abs/1710.02973 | 1 |
PageRank | References | Authors |
0.34 | 23 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alexandros Papangelis | 1 | 93 | 18.01 |
Panagiotis Papadakos | 2 | 122 | 14.40 |
Margarita Kotti | 3 | 12 | 2.01 |
Yannis Stylianou | 4 | 1436 | 140.45 |
Yannis Tzitzikas | 5 | 773 | 82.04 |
Dimitris Plexousakis | 6 | 2586 | 326.38 |