Title :
Creating quranic question taxonomy
Author :
Saeedi, Parvaneh ; Heidari, Samaneh ; Farhoodi, Mojgan
Author_Institution :
Inf. Technol. Fac., Iran Telecommun. Res. Center, Tehran, Iran
Abstract :
The knowledge of answer type is a valuable information in question answering(QA) systems which can be applied in searching for the answers. In this paper, we have prepared a question taxonomy which cover answer types in Quranic domain. It has 83 fine-grained and 30 coarse-grained semantic classes which are in a hierarchical structure. These semantic classes are extracted from about 6000 Quranic questions which are gathered from credible websites. This taxonomy is evaluated using the Quranic ontology which is currently developed in Quranjooy1 project at ITRC2. Quranic taxonomy has been applied in question classification and answer extraction of Quranjooy. it can significantly improve the answer extraction performance.
Keywords :
Web sites; ontologies (artificial intelligence); question answering (information retrieval); ITRC; QA; Quranic ontology; Quranic question taxonomy; Quranic questions; Quranjooy project; answer extraction performance; coarse-grained semantic classes; credible websites; fine-grained semantic classes; question answering systems; Data mining; Knowledge discovery; Ontologies; Semantics; Speech; Taxonomy; Uniform resource locators;
Conference_Titel :
Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
Conference_Location :
Tehran
DOI :
10.1109/IranianCEE.2014.6999694
