Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/21261
Appears in Collections:Biological and Environmental Sciences Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: Janarthanam, Srini
Lemon, Oliver
Liu, Xingkun
Bartie, Phil
Mackaness, William
Dalmas, Tiphaine
Goetze, Jana
Contact Email: phil.bartie@stir.ac.uk
Title: Conversational natural language interaction for place-related knowledge acquisition
Editors: Vasardani, M
Winter, S
Richter, K-F
Janowicz, K
Mackaness, W
Citation: Janarthanam S, Lemon O, Liu X, Bartie P, Mackaness W, Dalmas T & Goetze J (2012) Conversational natural language interaction for place-related knowledge acquisition, Vasardani M, Winter S, Richter K-F, Janowicz K, Mackaness W (ed.) P-KAR 2012 Place-related Knowledge Acquisition Research: Proceedings of the International Workshop on Place-related Knowledge Acquisition Research, P-KAR 2012: International Workshop on Place-related Knowledge Acquisition Research, Kloster Seeon, Germany, 31.8.2012 - 31.8.2012, Kloster Seeon, Germany: Vasardani, Winter, Richter, Janowicz, and Mackaness, pp. 33-38.
Issue Date: 2012
Series/Report no.: CEUR Workshop Proceedings, 881
Conference Name: P-KAR 2012: International Workshop on Place-related Knowledge Acquisition Research
Conference Dates: 2012-08-31T00:00:00Z
Conference Location: Kloster Seeon, Germany
Abstract: We focus on the problems of using Natural Language inter- action to support pedestrians in their place-related knowledge acquisi- tion. Our case study for this discussion is a smartphone-based Natu- ral Language interface that allows users to acquire spatial and cultural knowledge of a city. The framework consists of a spoken dialogue-based information system and a smartphone client. The system is novel in com- bining geographic information system (GIS) modules such as a visibility engine with a question-answering (QA) system. Users can use the smart- phone client to engage in a variety of interleaved conversations such as navigating from A to B, using the QA functionality to learn more about points of interest (PoI) nearby, and searching for amenities and tourist attractions. This system explores a variety of research questions involving Natural Language interaction for acquisition of knowledge about space and place.
Type: Conference Paper
Status: Publisher version
Rights: Authors retain copyright. Proper attribution of authorship and correct citation details should be given.
URI: http://hdl.handle.net/1893/21261
URL: http://ceur-ws.org/Vol-881/
Affiliation: Heriot-Watt University
Heriot-Watt University
Heriot-Watt University
Biological and Environmental Sciences
University of Edinburgh
University of Edinburgh
KTH Royal Institute of Technology

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