3 research outputs found
The Digital Classicist 2013
This edited volume collects together peer-reviewed papers that initially emanated from presentations at Digital Classicist seminars and conference panels. This wide-ranging volume showcases exemplary applications of digital scholarship to the ancient world and critically examines the many challenges and opportunities afforded by such research. The chapters included here demonstrate innovative approaches that drive forward the research interests of both humanists and technologists while showing that rigorous scholarship is as central to digital research as it is to mainstream classical studies. As with the earlier Digital Classicist publications, our aim is not to give a broad overview of the field of digital classics; rather, we present here a snapshot of some of the varied research of our members in order to engage with and contribute to the development of scholarship both in the fields of classical antiquity and Digital Humanities more broadly
The Digital Classicist 2013
This edited volume collects together peer-reviewed papers that initially emanated from presentations at Digital Classicist seminars and conference panels.
This wide-ranging volume showcases exemplary applications of digital scholarship to the ancient world and critically examines the many challenges and opportunities afforded by such research. The chapters included here demonstrate innovative approaches that drive forward the research interests of both humanists and technologists while showing that rigorous scholarship is as central to digital research as it is to mainstream classical studies.
As with the earlier Digital Classicist publications, our aim is not to give a broad overview of the field of digital classics; rather, we present here a snapshot of some of the varied research of our members in order to engage with and contribute to the development of scholarship both in the fields of classical antiquity and Digital Humanities more broadly
Recommended from our members
A computer-assisted qualitative data analysis framework for the engineering management domain
Qualitative data analysis (QDA) is a time consuming and, potentially unreliable research activity. In qualitative research, a number of tasks must be repeated for every new research case, even if each case is closely related or is in the same area of study.
Existing QDA applications provide users with a variety of tools and features that assist researchers in manipulating qualitative data. There is a great advantage in using these functions over completing these tasks manually. However, available QDA tools are not really more than a digital paper and pencil. In other words, existing tools are not equipped with any sort of automatic processing features.
A computer assisted framework was developed to help researchers in conducting qualitative data analysis. This framework leveraged the GATE platform, along with Natural Language Processing and Knowledge Extraction, to develop an automatic text annotation and summarization system. A performance model, developed from the literature on lean manufacturing implementation strategies was converted to an ontology. A lexicon database for lean implementation practices was also developed. A dataset from a previous research study focusing on lean implementation practices was used to conduct this development and testing. A number of different summarization techniques were developed and tested. A customized sensitivity analysis method was developed and used to systematically perform summarization algorithms comparisons. For the best summarization algorithm, an average F-score of 0.6567 was recorded. This F-score was based on a recall of 0.85 and a precision of 0.55, demonstrating the feasibility of automatic processing on an unstructured qualitative dataset