The Bliss Bibliographic Classification is a fully faceted classification scheme that provides detailed classification for use in libraries and information services of all kinds, with a broad and detailed structure and order. Last week, I was invited to give a talk at the annual Bliss Classification Association Lecture, held in London at UCL.
These are the slides from my talk, titled "Exploring highly interconnected humanities data: are faceted browsers always the answer?"
The presentation explores a fundamental question in digital humanities: when working with complex, interconnected datasets, are faceted browsers the optimal solution, or do certain scenarios call for different approaches?
This talk is a revised version of the paper I presented a couple of years ago at the Digital Humanities conference in Stanford. The core focus is on the concept of pivoting in faceted browsers—the ability to shift perspectives and explore data from different angles—and how these tools are being applied in digital humanities research.
The examples draw on my work with DJFacet, a customizable faceted search engine implementation written in Python/Django. DJFacet was designed to handle the specific challenges of humanities data, which often involves complex relationships, multiple hierarchies, and datasets that don't fit neatly into traditional database structures.
Faceted browsing has become ubiquitous in e-commerce and library catalogs, but applying it to humanities research data presents unique challenges. Unlike product catalogs with relatively stable attributes, humanities data often involves ambiguous relationships, contested classifications, and evolving interpretations. Understanding when and how to use faceted browsers effectively is crucial for creating useful digital humanities tools.
The Bliss Classification Association was a perfect audience for this discussion, given their deep expertise in faceted classification systems and their ongoing work in making complex information accessible and discoverable.
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2022
International Conference on Science, Technology and Innovation Indicators (STI 2022), Granada, Sep 2022.
2019
Second biennial conference on Language, Data and Knowledge (LDK 2019), Leipzig, Germany, May 2019.
2017
paper Using Linked Open Data to Bootstrap a Knowledge Base of Classical Texts
WHiSe 2017 - 2nd Workshop on Humanities in the Semantic web (colocated with ISWC17), Vienna, Austria, Oct 2017.
2013
2011
paper Browsing highly interconnected humanities databases through multi-result faceted browsers
Digital Humanities 2011 , Stanford, USA, Jun 2011.
2009