Lorna hughes 12 05-2013 NeDiMAH and ontology for DH

5 de Dec de 2013
Lorna hughes 12 05-2013 NeDiMAH and ontology for DH
Lorna hughes 12 05-2013 NeDiMAH and ontology for DH
Lorna hughes 12 05-2013 NeDiMAH and ontology for DH
Lorna hughes 12 05-2013 NeDiMAH and ontology for DH
Lorna hughes 12 05-2013 NeDiMAH and ontology for DH
Lorna hughes 12 05-2013 NeDiMAH and ontology for DH
Lorna hughes 12 05-2013 NeDiMAH and ontology for DH
Lorna hughes 12 05-2013 NeDiMAH and ontology for DH
Lorna hughes 12 05-2013 NeDiMAH and ontology for DH
Lorna hughes 12 05-2013 NeDiMAH and ontology for DH
Lorna hughes 12 05-2013 NeDiMAH and ontology for DH
Lorna hughes 12 05-2013 NeDiMAH and ontology for DH
Lorna hughes 12 05-2013 NeDiMAH and ontology for DH
Lorna hughes 12 05-2013 NeDiMAH and ontology for DH
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Lorna hughes 12 05-2013 NeDiMAH and ontology for DH

Notas do Editor

  1. Computational methods demand rigour and precision in their application, and accordingly, research practitioners working in the emerging field of the digital humanities have begun to formalize new theories of the interaction between content, analytical and interpretative tools and technologies, methodological approaches, and disciplinary kinships. There is a need to articulate digital research methods in the arts and humanities, contributing to the need for better documentation and descriptions of "Methodologies of Use".  The concept was initially expressed as The "Methodological Commons" in an intellectual and disciplinary map, (or "ecology") of digital arts and humanities in the context of modelling humanities research processes. The map was developed by Harold Short with Willard McCarty at the Centre for Computing in the Humanities (CCH) at King's College (McCarty, 2005), and initially presented at an Association for Literary and Linguistic Computing (ALLC) "Roadmap" meeting in Pisa in 2002. The map went through various refinements, and it continues to evolve, although as a matter of presentation rather than the underlying concept. In Short and McCarty’s model, the "Methodological Commons" has the following core elements:Technical methods from discipline areas outside the arts and humanities, e.g. engineering and computer science, e.g., for mining, visualization, and modelling of digital content.New modes of collaboration across disciplines and communities, particularly in partnership with scientific, engineering and cultural heritage science disciplines.A combination of data types, technical methods and multiple technologies are frequently needed, for example, combinations of text, database, image, time- based data (video or sound), and Geographical Information Systems (GIS).Formal methods are required for analysis and design of source data and modelling of possible technical approaches.Methods for working with large-scale data sources, as well as aggregating materials from multiple collections or sources.It is maintained on the ALLC website http://www.allc.org/content/pubs/map.htmloutlines (last accessed 01/05/2010).
  2. Projects: greater visibility of publicly funded research with digital outputMethods: Advanced ICT methods include:text analysis and mining; image analysis; moving image capture and analysis; and Quantitative and qualitative data analysis. They can be found at a key point of intersection between disciplines, collections and researchers: data-rich disciplines (e.g. archeology, library and information science, and musicology) have refined new ICT methods,and within the data-driven sciences research methods have emerged around data and information processes. The use of advanced ICT methods can effect significant benefits in arts and humanities scholarship: they can enhance existing research methods (for example, by harnessing the processing power of grid technologies to allow large datasets to be searched quickly and efficiently, and in complex or novel ways); and they enable new research methods (for example, developing pattern matching algorithms for image analysis that can be applied to digital images of manuscripts). New approaches can also come about from creative collaboration: for example, the REACH (Researching e-Science Analysis of Census Holdings) workshop series investigated the potential application of grid computing to use of historical census datasets, by applying record linkage research methods developed by researchers in Physics working on the AstroGrid project
  3. Attempts to formalize descriptions of the “methodological commons”: In 2003 Sheila Anderson and Reto Speck, UK AHDS, developed "The Taxonomy of Computational Methods in the Arts and Humanities”: taxonomy of computational methods common to the creation, management and sustainability of digital resources in the arts and humanities. It formalized and provided a controlled vocabulary for digitization in the arts and humanities. In the ICT Methods Taxonomy, ICT methods are defined as follows:“Method”: all the techniques and tools that are used to gain new knowledge in arts and humanities disciplines.A method is a computational one if it is either based on ICT (i.e. database technology) or critically dependent on it (i.e. statistical analysis).Terms in the methods taxonomy are classified at two levels: “content type” and “function type”:Content types describe the type of digital resource created, for example: narrative text; dataset/structured data and text; still image/graphics; moving image; 3D object; spatial; and sound.Function types describe the broad functions commonly undertaken in digital resource creation processes. These include: capture, i.e. the conversion of analogue information into (raw) digital data (via “digitization”); structuring and enhancement, i.e. the organization and integration of the data captured from one or various sources into a uniform conceptual framework, via, for example, normalization, standardization and enhancement of its data; analysis, i.e.the extraction of information/knowledge/meaning from the resource; and dissemination and presentation,i.e. the presentation and dissemination/communication of the results of the research project. 2007, Arts-humanities.net embedded the ICT Methods Taxonomy into its descriptions of ICT UK funded research projects with a digital output, the methods these projects used, and used it to organize content and to help users categorize content they add to the sites via an emerging folksonomy providing suggestions for user-generated tags. This was subsequently modified by Oxford University into a taxonomy used to classify their own DH projects The taxonomy is a framework for understanding how 'methodologies of use' sit within and enable research practice in the arts and humanities, and how they might be replicated by future research projects.  Underpinning the taxonomy, in arts-humanities.net and the Oxford DH site, is a formalized, controlled vocabulary for describing digital scholarshipOntological mapping is used to semantically interrelate information from diversesources to represent complex relationships. In order to do that, it relies on ontologies,formal representations of a set of concepts and relations. 
  4. *note after talk* - a question from the audience – do I think that digital humanities is a discipline? No, I don’t, I use it on this slide in the context of the formalisation of nomenclature being a recognised stage in maturity of disciplines/fields/research domains, therefore it’s an interesting stage in the development of DH as a field/research domain, etc.