TY - CONF
TI - Template-Based Question Answering over Linked Geospatial Data
AU - Punjani, D.
AU - Singh, K.
AU - Both, A.
AU - Koubarakis, M.
AU - Angelidis,
AU - I.
AU - Bereta, K.
AU - Beris, T.
AU - Bilidas, D.
AU - Ioannidis, T. and
AU - Karalis, N.
AU - Lange, C.
AU - Pantazi, D.
AU - Papaloukas, C. and
AU - Stamoulis, G.
PY - 2018
SP - null
PB - ASSOCIATION FOR COMPUTING MACHINERY
T2 - PROCEEDINGS OF THE 12TH WORKSHOP ON GEOGRAPHIC INFORMATION RETRIEVAL
(GIR'18)
TODO - 10.1145/3281354.3281362
TODO - linked geospatial data; DBpedia; General Administrative Divisions
dataset (GADM); OpenStreetMap
TODO - Large amounts of geospatial data have been made available recently on
the linked open data cloud and on the portals of many national
cartographic agencies (e.g., OpenStreetMap data, administrative
geographies of various countries, or land cover/land use data sets).
These datasets use various geospatial vocabularies and can be queried
using SPARQL or its OGC-standardized extension GeoSPARQL. In this paper
we go beyond these approaches to offer a question answering service on
top of linked geospatial data sources. Our system has been implemented
as re-usable components of the Qanary question answering architecture to
provide benefits for future research tasks. We give a detailed
description of the architecture of the system, its underlying algorithms
and its evaluation using a set of 201 natural language questions.
ER -