Authors:
Antonia Cataldo
1
;
Valerio Cutini
2
;
Valerio Di Pinto
3
and
Antonio M. Rinaldi
4
Affiliations:
1
Ministero dell’Istruzione and dell’Universitá e della Ricerca, Italy
;
2
Universitá di Pisa, Italy
;
3
Universitá di Napoli Federico II, Italy
;
4
Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione and Universitá di Napoli Federico II, Italy
Keyword(s):
Configurational Analysis, Concept Mining, Knowledge Engineering, Ontologies, Space Syntax.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Concept Mining
;
Context Discovery
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
The question of subjectivity and objectivity of information is an important open issue in the knowledge engineering research community. In the context of space representation, they have been traditionally considered competing themes in the study of places, particularly in urban ones. This is highlighted by the distance, in terms of cultural training and operational approach, between the professionals of the city: urban planners and urban anthropologists. The growth in modeling capabilities allows a quantitative study of a city but information about the meanings of space elements are often not taken into account. Starting from this basic assumption, our paper aim is to give a novel point of view to integrate subjectivity and objectivity in an operational model. Space Syntax, as a theory and a methodology, is used as a tool to study the objectivity of the urban space. Ontologies, as an approach and a method to formally represent knowledge, is used to provide Space Syntax with the subje
ctivity of the same spaces.
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