Authors: Aroua Taamallah; Maha Khemaja; Sami Faiz
Addresses: ISITCom, University of Sousse, GP1 Hammam Sousse, 4011, Tunisia; TSIRS Research Unit, ENIT, University of Tunis, Belvedere, 1002, Tunis, Tunisia ' Prince Laboratory, ISITCom, University of Sousse, GP1 Hammam Sousse, 4011, Tunisia; The Higher Institute of Applied Sciences and Technology of Sousse, University of Sousse, Sousse, Tunisia ' ISAMM, University of Manouba, Manouba, Tunis, Tunisia; TSIRS Research Unit, ENIT, University of Tunis, Belvedere, 1002, Tunis, Tunisia
Abstract: Smart cities are designed to overcome problems that traditional cities face like the exponential increase of the population and related needs. Smart cities design is a relatively new research field that appeared with the concept of smart city. Unfortunately, it is a laborious and error prone task which suggests designers' expertise and adequate skills. To overcome this issue, we attempt to acquire expertise from existing strategies and projects about smart cities. For this end, we develop strategy ontology. The strategy ontology allows not only to formalise and conceptualise the strategy related concepts but also to analyse existing projects and strategies. We attempt thereafter to enrich it via automatic learning techniques. We use therefore automatic annotation of smart cities related documents. In addition to automatic annotation, we also use the ontology-based information extraction (OBIE) for ontology population and enrichment with new concepts and instances. The followed process is composed of five tasks: corpus construction, ontology population, ontology enrichment, ontology's consistency verification and ontology learning evaluation. The resulting ontology will allow sharing the gathered knowledge between people participating in the activities of smart cities design and thus learning from smart cities previous projects and strategies in order to create new ones.
Keywords: Smart Cities design; ontology-based information extraction; Smart City; ontology learning; ontology enrichment; automatic annotation; information extraction; strategy ontology.
International Journal of Knowledge-Based Development, 2017 Vol.8 No.3, pp.206 - 228
Available online: 31 Aug 2017 *Full-text access for editors Access for subscribers Purchase this article Comment on this article