Purpose – This paper aims to provide an overview of the development of a computer system designed to aid historians in the reading of the stylus tablets from the Roman fort of Vindolanda. It proposes outlining the different stages in developing the system, and giving the preliminary results. Design/methodology/approach – The paper provides a literature review regarding Vindolanda, stylus tablets, and the process of reading an ancient document. Knowledge elicitation techniques are used to model explicitly expert processes used to read an ancient document. A corpus of character forms and lexicostatistics is gathered. An advanced cognitive imaging system utilising artificial intelligence techniques is implemented to produce plausible interpretations of the document. Findings – This paper describes the developmental stages undertaken to construct a system that can read in images of an ancient document and produce plausible interpretations of the document, to aid the historians in the lengthy process of reading an ancient text. In carrying out the development, an explicit representation of how experts approach and reason about damaged and deteriorated texts was formulated, and a large corpus of letter forms and linguistic data were captured. Preliminary results from the resulting computer system are presented which demonstrate the usefulness of the technique, although more work is needed to develop this into a stand‐alone computer system. Research limitations/implications – The study is focused on the Roman stylus tablets from Vindolanda, near Hadrian's Wall, although the technique could be extrapolated to cover other types of ancient documents from any period. Practical implications – It is demonstrated that using techniques from artificial intelligence and cognitive psychology can result in further explicit understanding of humanities expert processes, which allow computational systems to be constructed. The resulting computational system is a tool for the humanities expert, which carries out a task in a similar manner, allowing for faster reasoning time and quicker hypotheses development. Originality/value – The paper presents the first known system to intake an image of an ancient text and output a plausible interpretation of the text in a reasonable time frame, assisting the papyrologist in resolving ambiguities in the damaged and abraded text.
Aslib Proceedings: New Information Perspectives – Emerald Publishing
Published: Jan 1, 2006
Keywords: Historical research; Knowledge processes; Artificial intelligence; Image processing
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera