Towards the Ontologization of the Outsider Art Domain: Position Paper
The purpose of this paper is to present a prospective and interdisciplinary research project seeking to ontologize knowledge of the domain of Outsider Art, that is, the art created outside the boundaries of official culture. The goal is to combine ontology engineering methodologies to develop a knowledge base which i) examines the relation between social exclusion and cultural productions, ii) standardizes the terminology of Outsider Art and iii) enables semantic interoperability between cultural metadata relevant to Outsider Art. The Outsider Art ontology will integrate some existing ontologies and terminologies, such as the CIDOC - Conceptual Reference Model (CRM), the Art {\&} Architecture Thesaurus and the Getty Union List of Artist Names, among other resources. Natural Language Processing and Machine Learning techniques will be fundamental instruments for knowledge acquisition and elicitation. NLP techniques will be used to annotate bibliographies of relevant outsider artists and descriptions of outsider artworks with linguistic information. Machine Learning techniques will be leveraged to acquire knowledge from linguistic features embedded in both types of texts.
Code (0)
등록된 구현이 없습니다.
Tasks
BIG-bench Machine LearningCultural Vocal Bursts Intensity PredictionPositionSimilar Papers 제목 키워드 기반
Extending the design space of ontologization practices: Using bCLEARer as an example
Our aim in this paper is to outline how the design space for the ontologization process is richer than current practice would suggest. We point out that engineering processes as well as products need to be designed - and…
Toward the Automatic Retrieval and Annotation of Outsider Art images: A Preliminary Statement
The aim of this position paper is to establish an initial approach to the automatic classification of digital images about the Outsider Art style of painting. Specifically, we explore whether is it possible to classify n…
General ClassificationRetrievalInsideOut: Measuring and Mitigating Insider-Outsider Bias in Interview Script Generation
Advancements in Large language models (LLMs) have enabled a variety of downstream applications like story and interview script generation. However, recent research raised concerns about culture-related fairness issues in…
Partisan affect and political outsiders
We examine the effects of introducing a political outsider to the nomination process leading to an election. To this end, we develop a sequential game where politicians -- insiders and outsiders -- make a platform offer …
Which side are you on? Insider-Outsider classification in conspiracy-theoretic social media
Social media is a breeding ground for threat narratives and related conspiracy theories. In these, an outside group threatens the integrity of an inside group, leading to the emergence of sharply defined group identities…
Language ModelingLanguage Modelling