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Identification of the leading research domains and grouping of articles on the smart city using text mining

Zdonek Dariusz

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2020

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z. 148

845--860

EN

Purpose: The objective of the paper is to use text mining to identify leading research domains concerning the smart city following an analysis of research articles with a high citation index according to the Web of Science. Design/methodology/approach: An original method is proposed for analysing academic texts using the R language, tokenisation, lemmatisation, n-grams and correspondence analysis. The author analysed fifty of the most cited articles indexed in the Web of Science from 2014 to 2019. Findings: The paper presents the advantages and drawbacks of the proposed method of analysing research publications. The assets include automation and repeatability of the analysis of a large number of documents and improved knowledge about links among the articles in terms of research domains. The disadvantage is the loss of information from diagrams and figures. The method identified two leading research domains related to the notion of the smart city, technologies and systems. The analysed publications were categorised by selected keywords. Research limitations/implications: Future work should include further refinement of the assumptions for the method, analyses of a more significant number of research texts and a narrowing down of the domain of the smart city. It is desirable to consider other functional domains of the city, such as energy, public health, environmental protection or transport. Practical implications: The proposed method can complement a standard literature analysis regarding the smart city. The leading research domains related to the smart city in the analysed articles were systems and technologies employed to improve how the city operates. Social implications: Text mining can be employed by various experts focusing on the smart city and constitutes a refreshing complement for other research methods, such as questionnaire surveys, interviews or observations. Originality/value The publication can be useful for researchers from various fields and managers seeking to create and use simple, useful methods and tools for analysing unstructured text documents for decision-making. The paper proposes a separate text mining analysis of abstracts and whole documents using n-grams. This yielded a more precise list of areas relevant to the smart city. The grouping was done using correspondence analysis of the fifty most cited articles indexed in the Web of Science from 2014 to 2019.

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O współpracy Wydziału Inżynierii Lądowej Politechniki Warszawskiej z Instytutem Techniki Budowlanej

Kaproń M., Zobel H.

Inżynieria i Budownictwo

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2012

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R. 68, nr 1

22-23

PL

Omówiono ogólnie zakres współdziałania obu współpracujących jednostek i ich rolę w działalności naukowej i badawczej w dziedzinie budownictwa.

EN

The paper presents the areas of cooperation between both institutions and their role in scientific activity in the building discipline.

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Kierunki prac badawczo-rozwojowych w budownictwie

Czarnecki L., Kaproń M.

Wiadomości Projektanta Budownictwa

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2010

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nr 6

30--33

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Wyzwania inżynierii materiałów budowlanych

Czarnecki L.

Inżynieria i Budownictwo

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2008

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R. 64, nr 7

404-408

PL

Zdefiniowano inżynierię materiałów budowlanych i wskazano jej cechy szczególne. Podano słowa kluczowe opisujące obszar badawczy oraz skalę rozpatrywanych zjawisk. Scharakteryzowano trendy badawcze w odniesieniu do wiodących idei, mechanizmów procesów i rozwiązań materiałowo-technologicznych. Omówiono zagadnienia modelu materiałowego, modelu użytkowania, doboru i oceny przydatności materiału oraz zrównoważonego rozwoju. Przedstawiono narzędzia badawcze i specyfikę laboratorium wirtualnego. Wskazano, że inżynieria materiałów budowlanych jest stymulatorem postępu.

EN

The meaning and particularities of building materials engineering have been defined. The key words described a research area and phenomena scales have been presented. Leading research trends towards processes and new materials as well as research tools have been written. Material and performance models as well as material selection (compatibility) criteria have been shown. Building materials engineering has been estimated as the stimulator of progress.