Annual Bliss Classification Association Lecture: using faceted browsers in the DH

The Bliss Bibliographic Classification is a 'fully faceted classification scheme that provides a detailed classification for use in libraries and information services of all kinds, having a broad and detailed structure and order'. Last week I was invited to give a talk at the annual Bliss Classification Association Lecture, held here in London at UCL university.

These are the slides from my talk, titled "Exploring highly interconnected humanities data: are faceted browsers always the answer?".

Essentially, this is a slightly revised version of the paper I presented a couple of years ago at the Digital Humanities conference in Stanford. It centres around the notion of 'pivoting' in faceted browsers, the use of these tools in the digital humanities and some practical examples based on DJFacet, an implementation of a customizable faceted search engine written in Python/Django.

Cite this blog post:

Michele Pasin. Annual Bliss Classification Association Lecture: using faceted browsers in the DH. Blog post on Published on April 27, 2013.

Comments via Github:

See also:


paper  Generating large-scale network analyses of scientific landscapes in seconds using Dimensions on Google BigQuery

International Conference on Science, Technology and Innovation Indicators (STI 2022), Granada, Sep 2022.


paper  Interlinking SciGraph and DBpedia datasets using Link Discovery and Named Entity Recognition Techniques

Second biennial conference on Language, Data and Knowledge (LDK 2019), Leipzig, Germany, May 2019.


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.