Foroughi, Mahda (2024): Data underlying the publication: Capturing Experts’ Knowledge in Heritage Planning Enhanced by AI: A Case Study of Windcatchers in Yazd, Iran. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/5e55cf64-7912-4b07-8b8e-c2afb067c3e7.v1

Dataset

x choose version: version 2 - 2024-02-13 (latest)

• Other Cultural Understanding
• Engineering Design
• Design Practice and Management
• Building
• Other Built Environment and Design
• Urban and Regional Planning
• Architecture
• Heritage
• Built Environment and Design
• Cultural Understanding

attribute, cultural significance, expert, natural language processing, text classification, value

2021

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Mahda Foroughi

These datasets contain the opinions of experts on the cultural significance of windcatchers in Yazd, Iran. The analysis results have been published in the paper titled "Capturing Experts’ Knowledge in Heritage Planning Enhanced by AI: A Case Study of Windcatchers in Yazd, Iran" in the Journal of Cultural Heritage. The data comprises all books and papers related to the case study, along with detailed information about each source.

The Excel file contains four sheets:

1. general information: the publications' information namely, title, year of publication, authors, etc.
2. sentences_values: the publications' titles, relevant sentences, and values addressed in the sentences
3. sentences_attributes: the publications' titles, relevant sentences, and attributes addressed in the sentences
4. name entity recognition (NER): relevant sentences, relevant words, and the class of NER associated with the word

• 2024-02-12 first online, published, posted

4TU.ResearchData

xlsx

TU Delft, Faculty of Architecture and the Built Environment, Department of Architectural Engineering and Technology (AE+T)