TY - GEN
T1 - Management of Complex and Fuzzy Queries Using a Fuzzy SOLAP-Based Framework
AU - Keskin, Sinan
AU - Yazıcı, Adnan
N1 - Funding Information:
Keywords: OLAP · Fuzzy spatial-temporal query · Predictive fuzzy spatial-temporal query This study is supported in part by NU Faculty Development Competitive Research Grants Program, Nazarbayev University, Republic of Kazakhstan, under Grant Number 110119FD4543.
Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - With the use of data warehouses, the need for faster access and analysis to historical and multidimensional data has arisen. Online analytical processing (OLAP), developed for this purpose, has provided suitable data structures that overcome some of the limitations of relational databases by providing rapid data analysis. OLAP can display and collect large amounts of data while providing searchable access to any data point and handle a wide variety of complex queries that match user interests. While OLAP enables querying and analysis of multidimensional numeric and alphanumeric data, there is still a need to support flexible queries and analyses on uncertain and fuzzy data due to the nature of the data existing the complex applications such as multimedia and spatiotemporal applications. This study presents how to handle various types of fuzzy spatiotemporal queries using our fuzzy SOLAP (spatial OLAP) based framework on meteorological databases, which inherently contain spatiotemporal data in addition to uncertainty and fuzziness. In this context, we describe the support for non-spatial and fuzzy spatial queries as well as fuzzy spatiotemporal query types. In addition, while OLAP mainly includes historical data and associated queries and analyzes, we describe how to handle predictive fuzzy spatiotemporal queries, which may require an inference mechanism. We also show that various complex queries, including predictive fuzzy spatiotemporal queries, are effectively and efficiently handled using our fuzzy SOLAP framework.
AB - With the use of data warehouses, the need for faster access and analysis to historical and multidimensional data has arisen. Online analytical processing (OLAP), developed for this purpose, has provided suitable data structures that overcome some of the limitations of relational databases by providing rapid data analysis. OLAP can display and collect large amounts of data while providing searchable access to any data point and handle a wide variety of complex queries that match user interests. While OLAP enables querying and analysis of multidimensional numeric and alphanumeric data, there is still a need to support flexible queries and analyses on uncertain and fuzzy data due to the nature of the data existing the complex applications such as multimedia and spatiotemporal applications. This study presents how to handle various types of fuzzy spatiotemporal queries using our fuzzy SOLAP (spatial OLAP) based framework on meteorological databases, which inherently contain spatiotemporal data in addition to uncertainty and fuzziness. In this context, we describe the support for non-spatial and fuzzy spatial queries as well as fuzzy spatiotemporal query types. In addition, while OLAP mainly includes historical data and associated queries and analyzes, we describe how to handle predictive fuzzy spatiotemporal queries, which may require an inference mechanism. We also show that various complex queries, including predictive fuzzy spatiotemporal queries, are effectively and efficiently handled using our fuzzy SOLAP framework.
KW - Fuzzy spatial-temporal query
KW - OLAP
KW - Predictive fuzzy spatial-temporal query
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U2 - 10.1007/978-3-030-86967-0_9
DO - 10.1007/978-3-030-86967-0_9
M3 - Conference contribution
AN - SCOPUS:85115855731
SN - 9783030869663
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 109
EP - 126
BT - Flexible Query Answering Systems - 14th International Conference, FQAS 2021, Proceedings
A2 - Andreasen, Troels
A2 - De Tré, Guy
A2 - Kacprzyk, Janusz
A2 - Legind Larsen, Henrik
A2 - Bordogna, Gloria
A2 - Zadrożny, Sławomir
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th International Conference on Flexible Query Answering Systems, FQAS 2021
Y2 - 19 September 2021 through 24 September 2021
ER -