%0 Generic
%A Foroughi, Mahda
%D 2024
%T Dataset on the PhD thesis "Heritage Beyond Singular Narratives: Embracing Diversity in Participatory Heritage Planning Empowered by Artificial Intelligence"
%U 
%R 10.4121/5e55cf64-7912-4b07-8b8e-c2afb067c3e7.v2
%K expert
%K cultural significance
%K value
%K attribute
%K text classification
%K natural language processing
%X <p>By comparing the different stakeholders’ perspectives, discovered using an AI approach from multiple unstructured data sources, this research develops an approach to reveal alignments and conflicts between academic experts, policymakers, and users to shed light on the conflicts and alignments embedded in the multi-stakeholder setting and as a step further towards inclusive data-supported heritage planning. To provide empirical evidence of such an approach, thisresearch explores various stakeholders’ perspectives on the cultural significance conveyed to a specific case study, the city of Yazd, Iran. The focus of research is on windcatchers which are key attributes conveying outstanding universal value, as inscribed on the UNESCO World Heritage List (UNESCO, 2017). This research discusses alignments and conflicts in the attributes and values, by comparing the perspectives of policy makers, users, and academic experts. Based on the analysis, a critical reflection on the changes expected in heritage planning is discussed. This study offers a comprehensive methodology with a customized AI-supported tool to detect alignments and conflicts in participation processes applied to heritage planning. Besides, this study reveals a critical gap that requires more reflection on the changes expected in heritage planning, by considering how different stakeholders may grow in their contribution to the definition of cultural significance in heritage planning, given the rising importance of public participation.</p><p><span style="color: rgb(13, 13, 13);">These datasets contain the opinions of three main stakeholdr groups on the cultural significance of windcatchers in Yazd, Iran:</span></p><ol><li><span style="background-color: rgb(255, 250, 234); color: rgb(13, 13, 13);">experts (academic publications)</span></li><li><span style="background-color: rgb(255, 250, 234); color: rgb(13, 13, 13);">users (social media: Instagram and Twitter/X)</span></li><li><span style="background-color: rgb(255, 250, 234); color: rgb(13, 13, 13);">policy makers (local/national/international documents)</span><span style="color: rgb(13, 13, 13);"> </span></li></ol><p><br></p><p><span style="color: rgb(13, 13, 13);">The analysis results have been published in journal papers, conference papers, and a book chapter. </span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">There are three Excel files containing various sheets:</span></p><ol><li>general information: the publications' information namely, title, year of publication, authors, etc.</li><li>sentences_values: titles, relevant sentences, and values addressed in the sentences</li><li>sentences_attributes: titles, relevant sentences, and <span style="background-color: rgb(255, 250, 234);">attributes</span> addressed in the sentences</li><li>name entity recognition (NER): <span style="background-color: rgb(255, 250, 234);">relevant sentences, relevant words, and the class of NER associated with the word</span></li><li><span style="background-color: rgb(255, 250, 234);">sentiment and emotion analysis: relevant sentences, sentiments, emotions</span></li></ol><p><br></p>
%I 4TU.ResearchData