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Urban Data Querying: The City of Petrozavodsk Waste Problem. / Ianiuk, Olga; Novikov, Boris.

In: Frontiers in Artificial Intelligence and Applications, Vol. 270, 2014, p. 303 - 314.

Research output: Contribution to journalArticle

Harvard

Ianiuk, O & Novikov, B 2014, 'Urban Data Querying: The City of Petrozavodsk Waste Problem', Frontiers in Artificial Intelligence and Applications, vol. 270, pp. 303 - 314. https://doi.org/10.3233/978-1-61499-458-9-303

APA

Ianiuk, O., & Novikov, B. (2014). Urban Data Querying: The City of Petrozavodsk Waste Problem. Frontiers in Artificial Intelligence and Applications, 270, 303 - 314. https://doi.org/10.3233/978-1-61499-458-9-303

Vancouver

Ianiuk O, Novikov B. Urban Data Querying: The City of Petrozavodsk Waste Problem. Frontiers in Artificial Intelligence and Applications. 2014;270:303 - 314. https://doi.org/10.3233/978-1-61499-458-9-303

Author

Ianiuk, Olga ; Novikov, Boris. / Urban Data Querying: The City of Petrozavodsk Waste Problem. In: Frontiers in Artificial Intelligence and Applications. 2014 ; Vol. 270. pp. 303 - 314.

BibTeX

@article{0594dc83abcd43f0a5fa2654d0e10492,
title = "Urban Data Querying: The City of Petrozavodsk Waste Problem",
abstract = "Urban data mining is a promising tool for understanding complicated city systems. Indeed, data in urban spaces acquired from sensors and the web provides insights which, when used correctly, help city operation and development. Hopefully, it must improve the quality of citizens' life drastically in the present and future. However, data specifics involve particular difficulties in data management which results in its limited usage among specialists. Development and enhancement of techniques and tools that is used for data operation while tackling real urban challenges allow one both gain wider acceptance of such methods and increase impact of decisions made. In this paper, an approach treating a certain declarative query language for management data on municipal solid waste is introduced. The information system high-level design issues implied by the urban data querying paradigm are proposed. A case study is conducted in Petrozavodsk, Republic of Karelia, Russia, aiming to make the process of introduction of",
keywords = "urban data management, analytical system, declarative query language, waste management system, Petrozavodsk",
author = "Olga Ianiuk and Boris Novikov",
year = "2014",
doi = "10.3233/978-1-61499-458-9-303",
language = "не определен",
volume = "270",
pages = "303 -- 314",
journal = "Frontiers in Artificial Intelligence and Applications",
issn = "0922-6389",
publisher = "IOS Press",

}

RIS

TY - JOUR

T1 - Urban Data Querying: The City of Petrozavodsk Waste Problem

AU - Ianiuk, Olga

AU - Novikov, Boris

PY - 2014

Y1 - 2014

N2 - Urban data mining is a promising tool for understanding complicated city systems. Indeed, data in urban spaces acquired from sensors and the web provides insights which, when used correctly, help city operation and development. Hopefully, it must improve the quality of citizens' life drastically in the present and future. However, data specifics involve particular difficulties in data management which results in its limited usage among specialists. Development and enhancement of techniques and tools that is used for data operation while tackling real urban challenges allow one both gain wider acceptance of such methods and increase impact of decisions made. In this paper, an approach treating a certain declarative query language for management data on municipal solid waste is introduced. The information system high-level design issues implied by the urban data querying paradigm are proposed. A case study is conducted in Petrozavodsk, Republic of Karelia, Russia, aiming to make the process of introduction of

AB - Urban data mining is a promising tool for understanding complicated city systems. Indeed, data in urban spaces acquired from sensors and the web provides insights which, when used correctly, help city operation and development. Hopefully, it must improve the quality of citizens' life drastically in the present and future. However, data specifics involve particular difficulties in data management which results in its limited usage among specialists. Development and enhancement of techniques and tools that is used for data operation while tackling real urban challenges allow one both gain wider acceptance of such methods and increase impact of decisions made. In this paper, an approach treating a certain declarative query language for management data on municipal solid waste is introduced. The information system high-level design issues implied by the urban data querying paradigm are proposed. A case study is conducted in Petrozavodsk, Republic of Karelia, Russia, aiming to make the process of introduction of

KW - urban data management

KW - analytical system

KW - declarative query language

KW - waste management system

KW - Petrozavodsk

U2 - 10.3233/978-1-61499-458-9-303

DO - 10.3233/978-1-61499-458-9-303

M3 - статья

VL - 270

SP - 303

EP - 314

JO - Frontiers in Artificial Intelligence and Applications

JF - Frontiers in Artificial Intelligence and Applications

SN - 0922-6389

ER -

ID: 5742641