Accepted to DH 2018: “Towards a Linked Data of Bible Quotations in Jewish Texts” by Oren Mishali and Benny Kimelfeld

paper

Lab members

Papers

  1. Towards Linked Data of Bible Quotations in Jewish Texts

    Oren Mishali, Benny Kimelfeld

    DH 2018: 455-456

    Text Analysis Knowledge Bases

    Abstract

    The Hebrew Bible (the Tanakh) is the most ancient and sacred collection of Jewish texts. Throughout the history, additional religious Jewish texts have been written such as the Mishna, the Babylonian Talmud, and many more. These additional texts are often related to (or inspired by) the Bible. As such, many of them quote verses from the Bible. Depending mostly on their frequency and location within the text, the quotations may indicate a weak or strong semantic relation between a given text and a specific portion of the Bible. Knowing these semantic relations may be beneficial for those interested in studying or investigating the Bible.

    We report an ongoing project that aims to establish the machinery for the automatic detection and rigorous representation of quotations of Bible verses within Jewish texts. The project consists of three interleaving components. In the first component, an algorithm for identifying Bible quotations in text is developed. In the second, the results of executing the algorithm on a large and open text corpus are represented as a Linked Data graph (RDF dataset). In the third component, we develop a web frontend for making the dataset accessible to end users.