Abstract
The digital content in smart city, is a critical asset. It can be used for multiple purposes and offers added value layers for customization and personalization of services. Numerous research issues, related to standardization, annotation, visualization and sentiment analysis pose critical research questions. In our approach within a greatest context of academic research we deal with the semi-automatic annotation of smart city contexts, and more specifically the annotation of twitter-content for the promotion of citizen's engagement. We discuss in detail the feasibility of technical approaches with the deployment of open platforms and approaches, towards value adding services. The greatest challenge of our research is to promote an open-collaborative semantic annotation framework for social content in smart city, promoting engagement modes.
Highlights
The evolution of smart cities research in the last decade has revealed various soft and hard design and implementation issues
We propose framework based on semantic annotation using Ontotext and social media mining technique to Tweets that describe smart cities in order to explore how cities could use the approach to enhance engagement with citizens
In this research study from this complicated policy-driven, social-aware, and utility-targeted smart city research context, we focus on a critical aspect of smart city: Given the fact that social media in our days represent a typical, jointly formative and informal way for social interactions and opinions sharing, we try to understand how microcontent contributions in social media promote the citizens engagement in the context of smart cities
Summary
The evolution of smart cities research in the last decade has revealed various soft and hard design and implementation issues. The transparency and ubiquitous availability of smart cites services requires an integrative approach to content and processes/smart services. This is the focus of this research study. Social media mining provides techniques and tools for collecting and processing data found in social media platforms, such as posts on social networks: Twitter, Facebook, Instagram etc. We propose framework based on semantic annotation using Ontotext and social media mining technique to Tweets that describe smart cities in order to explore how cities could use the approach to enhance engagement with citizens. The proposed framework consists of four main stages (i) data collection of smart city tweets, (ii) semantic enrichment of tweet contents using Ontotext, (iii) visualization of enriched tweet continents, and (iv) publication of enriched Tweet micro-contents
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