English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

As more and more monitoring systems have been deployed to smart cities, therecomes a higher demand for converting new human-specified requirements tomachine-understandable formal specifications automatically. However, thesehuman-specific requirements are often written in English and bring missing,inaccurate, or ambiguous information. In this paper, we present CitySpec, anintelligent assistant system for requirement specification in smart cities.CitySpec not only helps overcome the language differences brought by Englishrequirements and formal specifications, but also offers solutions to thosemissing, inaccurate, or ambiguous information. The goal of this paper is todemonstrate how CitySpec works. Specifically, we present three demos: (1)interactive completion of requirements in CitySpec; (2) human-in-the-loopcorrection while CitySepc encounters exceptions; (3) online learning inCitySpec.

An Intelligent Assistant for Converting City Requirements to Formal Specification