Dpto. Historia del Arte Universidad de Málaga, Facultad de Filosofía y Letras, Campus de Teatinos, s/n. 29071, MÁLAGA
+34 952 132 223 | +34 952 133 441
1. Advance in the systematisation of a theoretical-methodological framework. for the analysis and interpretation of the field of art exhibitions as a hyper-complex cultural system by means of mathematical and conceptual modelling processes.
2. Producing knowledge from a Complexity Sciences approach on the configuration, structures, networks, interactions, dynamics of transformation-evolution and logics of behaviour of the exhibition system in Spain, fundamentally that associated with contemporary art, in its socio-institutional and semantic-discursive dimensions.
3. Develop technological systems that enable the production of heterogeneous and multivalent sets of enriched, interrelated, open and linked data on the domain of art exhibitions, while at the same time facilitating their reuse for the generation of new knowledge.
Specific objectives
In order to achieve the above general objectives, it is necessary to:
1. Develop a technological system for the automatic and structured extraction of the heterogeneous information conveyed by the catalogues. of art exhibitions so that we can: a) efficiently increase the quantity and variety of the dataset already registered with Expofinder; and b) develop a linguistic corpus based on texts associated with art exhibitions.
2. To develop a technological system for the capture, compilation and description with specific meta-information of art criticism texts, published in digital format, related to the exhibitions held in the period under analysis.
3. Based on the information provided by the technological models indicated in specific objectives 1 and 2, building a linguistic corpus analysable through PLN methodologies that allow us to extract the semantics, concept networks, argumentative strategies and other implicit and not directly evident knowledge present in the corpus texts.
4. Implement a thesaurus in SKOS-Core on curatorial discourses and narratives. so that it can complement the semantic-linguistic analysis carried out on the corpus texts and can also be integrated into the ontological reference model.
5. Extend and consolidate the Expofinder corpus. in order to cover the chronological arc 2007-2020 and to incorporate the register of the works exhibited in the exhibitions.
6. Conduct an analysis of the exhibition system in the aforementioned period in order to extract, through analysis strategies from Data Science, Network Science and PLN, knowledge that will allow us to better understand its configuration and behaviour as a hyper-complex cultural system.
7. Undertake the design and formalisation of conceptual and mathematical models specifically designed to characterise and analyse behaviours and dynamics that are specific to the exhibition field. It is hoped that these conceptual and mathematical models can be applied to the characterisation, analysis and interpretation of other cultural systems with similar dynamics.
8. Exploring new ways of visualising data and presenting computational results. based on the design of graphical, interactive and multimodal interfaces.
9. To develop and publish the Complexhibit knowledge system. which will allow access to the data as LOD, as well as querying through SPARQL points and faceted search engine.
Project development
The work of Complexhibit is organised in different phases that progress from the capture of information to its semantic formalisation and subsequent analysis.
- Data extraction and productionfirst of all, tools will be implemented for natural language processing and deep learning to automatically extract and structure information contained in exhibition catalogues and art reviews. This will build an unpublished corpus of texts and structured data associated with the exhibition system.
- Ontological modellingThe modelling of the OntoExhibitan ontology designed to formalise in a precise way the different dimensions of the exhibition field (actors, works, discourses, contexts, etc.). This semantic model constitutes the conceptual infrastructure underpinning interoperability and analysis.
- Development of vocabularies and thesauriin parallel, the following will be elaborated standardised vocabularies and a SKOS thesaurus of curatorial concepts and exhibition narrativesThe project is a project that will make it possible to systematise and standardise the discourses and ideas linked to curatorial practices.
- Construction of the knowledge networkWith OntoExhibit and the vocabularies as a framework, the data will be integrated in a semantic knowledge graph (Complexhibit)published as Linked Open Datawhere actors, cultural objects and discourses will be related in the same interoperable framework.
- Analysis and modellingThe following techniques shall be applied to this network Data Science, Network Science and Complexity Science to identify patterns of collaboration, institutional transformations, semantic dynamics and processes of evolution of the Spanish exhibition system between 2007 and 2020.
- Visualisation and explorationThe results will materialise in interfaces that will explore networks, cartographies and curatorial narratives, making complex processes accessible and comprehensible through visualisations.
- The results will be made available through Complexhibit 1.0an open platform that will integrate the corpus of structured data such as Linked Open Data and will offer tools to explore graphs, cartographies and curatorial narratives.
- Finally, the project envisages a strong transfer componentThe data, models, vocabularies, tools and all the documentation produced will be available for reuse by researchers, museums, administrations and creative sectors, contributing to academic research, decision-making in cultural policies and innovation in curatorial and museographic practices.
