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A platform for research: civil engineering, architecture and urbanism
Possibilities for Linguistic Summaries in Cognitive Cities
Abstract The shift to smart cities, and further to cognitive cities, should follow citizens’ needs, and not only the efficient use of resources. Citizens wish to cooperate in decision-making (or voting) and to be informed about various developments in cities, preferably in comprehensible ways. But, summing up from a large amount of data and gamut of data types is not an easy task. Furthermore, many concepts and predicates are expressed by adjectives and adverbs. Hence, the option are linguistic summaries based on the fuzzy sets and fuzzy logic theory. Other stakeholders in cities (dispatchers, planners, marketers, local government, journalists) may also benefit from this approach. Linguistic summaries are able to verbalize mined information from the data by quantified sentences of natural language such as most of young citizens have rather negative opinion about topic T and most of foreign visits are from countries with medium GDP. Illustrative examples are focused on informing citizens, managing surveys, explaining development in pollution and traffic, analysing tourist activities. In this way, stakeholders are informed in a concise way about the situation and trends. They can also recognize the effects of regulations which had been brought in. Another benefit is that citizens are better prepared for voting. This contribution also emphasizes the fact that these achievements can be realized without collecting sensitive data from citizens using them as sensors (except volunteers, which prefer simpler data collection). Moreover, exchange of summaries is not as demanding as exchanging sensitive data.
Possibilities for Linguistic Summaries in Cognitive Cities
Abstract The shift to smart cities, and further to cognitive cities, should follow citizens’ needs, and not only the efficient use of resources. Citizens wish to cooperate in decision-making (or voting) and to be informed about various developments in cities, preferably in comprehensible ways. But, summing up from a large amount of data and gamut of data types is not an easy task. Furthermore, many concepts and predicates are expressed by adjectives and adverbs. Hence, the option are linguistic summaries based on the fuzzy sets and fuzzy logic theory. Other stakeholders in cities (dispatchers, planners, marketers, local government, journalists) may also benefit from this approach. Linguistic summaries are able to verbalize mined information from the data by quantified sentences of natural language such as most of young citizens have rather negative opinion about topic T and most of foreign visits are from countries with medium GDP. Illustrative examples are focused on informing citizens, managing surveys, explaining development in pollution and traffic, analysing tourist activities. In this way, stakeholders are informed in a concise way about the situation and trends. They can also recognize the effects of regulations which had been brought in. Another benefit is that citizens are better prepared for voting. This contribution also emphasizes the fact that these achievements can be realized without collecting sensitive data from citizens using them as sensors (except volunteers, which prefer simpler data collection). Moreover, exchange of summaries is not as demanding as exchanging sensitive data.
Possibilities for Linguistic Summaries in Cognitive Cities
Hudec, Miroslav (author)
2018-09-19
38 pages
Article/Chapter (Book)
Electronic Resource
English
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