Goga, Maria; Goga, Nicole; Popa, Ramona Christina. "Extracting Knowledge from the Bible: A Comparison between the Old and the New Testament." 2019 International Conference on Automation, Computational and Technology Management, 505-510.
The research team undertook a study by which they would attempt to draw conceptual feedback from a literary corpus using computer automated tools. They chose the Old Testament and New Testament due to the relatively large scope, along with the diversity of authors and time and place of authorship (Popa et al. 2019, 505). The goal was to draw ontological information out and compare that information as presented in the Old Testament and the New Testament. The authors provide a brief review of similarities and differences between the Old and New Testaments.
There have been attempts to extract information from religious books in the past, but almost all have focused on the Quran (Popa et al. 2019, 506). Further, while they have extracted knowledge, it has not been specifically ontological research. Previous studies have looked at the biblical text in terms of fractal organization and have found that there is order even where a casual observer might not see it.
The research detailed in this paper used existing programmatic tools but added some rules and algorithms to account for similar terms and synonyms which could operate on a conceptual level (Popa et al. 2019, 507). The goal was to extract unstructured text and evaluate its internal relations. The clarity of the statement and its usefulness is most easily identified when there are more relevant terms or characteristics, creating a richer picture.
The researchers observe that they were unable to do a search using the original biblical languages. Their ability was also limited in that only one available translation could be interpreted by their grammar tool. Further, it required human intervention to deal with any concepts which deal with proper nouns (Popa et al. 2019, 508). However, they were able to generate some output based on text surveys. This output has a rank ordering of the relevance of a number of key words.
The researchers analyze some of the differences in their survey's most important key words. Their interpretation makes theological interpretations which may or may not have been reached by someone presented with the list of terms but no context (Popa et al. 2019, 509).