Queries to generate a map from geographic detabases are too large and complex for users to specify all components in it. Thematic parts of the map should be described by users as ad hoc queries. However, background parts of it should be inferred from users' queries corresponding to the thematic parts. Furthermore, it is important for the map systems to lead users' constructing their ad hoc queries and to infer visualization methods applied to the data retrieved by the ad hoc queries. This paper discusses a framework to infer supplemental queries and visualization methods in order to make the retrieval results into a feasible map using geographic domain hierarchical levels, geographic domain thesauruses and existing example queries. The framework allows users to know mismatches of components in queries, inappropriate queries for maps, and deriving candidates for additional components in queries.
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Masatoshi ARIKAWA, Ken'ichi HORIKAWA, Yahiko KAMBAYASHI, "Cooperative Query Formulation for Geographic Databases" in IEICE TRANSACTIONS on Information,
vol. E78-D, no. 11, pp. 1369-1376, November 1995, doi: .
Abstract: Queries to generate a map from geographic detabases are too large and complex for users to specify all components in it. Thematic parts of the map should be described by users as ad hoc queries. However, background parts of it should be inferred from users' queries corresponding to the thematic parts. Furthermore, it is important for the map systems to lead users' constructing their ad hoc queries and to infer visualization methods applied to the data retrieved by the ad hoc queries. This paper discusses a framework to infer supplemental queries and visualization methods in order to make the retrieval results into a feasible map using geographic domain hierarchical levels, geographic domain thesauruses and existing example queries. The framework allows users to know mismatches of components in queries, inappropriate queries for maps, and deriving candidates for additional components in queries.
URL: https://global.ieice.org/en_transactions/information/10.1587/e78-d_11_1369/_p
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@ARTICLE{e78-d_11_1369,
author={Masatoshi ARIKAWA, Ken'ichi HORIKAWA, Yahiko KAMBAYASHI, },
journal={IEICE TRANSACTIONS on Information},
title={Cooperative Query Formulation for Geographic Databases},
year={1995},
volume={E78-D},
number={11},
pages={1369-1376},
abstract={Queries to generate a map from geographic detabases are too large and complex for users to specify all components in it. Thematic parts of the map should be described by users as ad hoc queries. However, background parts of it should be inferred from users' queries corresponding to the thematic parts. Furthermore, it is important for the map systems to lead users' constructing their ad hoc queries and to infer visualization methods applied to the data retrieved by the ad hoc queries. This paper discusses a framework to infer supplemental queries and visualization methods in order to make the retrieval results into a feasible map using geographic domain hierarchical levels, geographic domain thesauruses and existing example queries. The framework allows users to know mismatches of components in queries, inappropriate queries for maps, and deriving candidates for additional components in queries.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - Cooperative Query Formulation for Geographic Databases
T2 - IEICE TRANSACTIONS on Information
SP - 1369
EP - 1376
AU - Masatoshi ARIKAWA
AU - Ken'ichi HORIKAWA
AU - Yahiko KAMBAYASHI
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E78-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 1995
AB - Queries to generate a map from geographic detabases are too large and complex for users to specify all components in it. Thematic parts of the map should be described by users as ad hoc queries. However, background parts of it should be inferred from users' queries corresponding to the thematic parts. Furthermore, it is important for the map systems to lead users' constructing their ad hoc queries and to infer visualization methods applied to the data retrieved by the ad hoc queries. This paper discusses a framework to infer supplemental queries and visualization methods in order to make the retrieval results into a feasible map using geographic domain hierarchical levels, geographic domain thesauruses and existing example queries. The framework allows users to know mismatches of components in queries, inappropriate queries for maps, and deriving candidates for additional components in queries.
ER -