@inproceedings{1f47ddb7b86c4ff6bece8eba8a4c67e4,
title = "Construction and Consumption of FAQ Knowledge Graphs in the E-Commerce Domain",
abstract = "Frequently Asked Questions (FAQs) are documents or webpages that give answers to common questions a user may ask about a certain topic. This paper presents the construction of a knowledge graph (KG) using data from the FAQ webpages of Tokopedia, one of the largest e-commerce companies in Indonesia. Our approach is based on a top-down method in KG construction, which incorporates web scraping, part-of-speech tagging, verb ontology generation, and Resource Description Framework (RDF)-based KG generation. The KG created in this research has 14795 triples, containing 991 FAQs from 78 categories and 149 subcategories. The findings reveal new consumption capabilities, such as structured queries to FAQs based on verbs and their synonyms, as well as insights gained by exploratory data analysis (EDA).",
keywords = "E-Commerce, FAQ, Knowledge Graph, Verb Relations",
author = "Ashardian, {Amanda C.} and Fariz Darari and Faisal, {Douglas R.} and Putra, {Hadi S.}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th International Conference on Information and Communications Technology, ICOIACT 2023 ; Conference date: 10-11-2023",
year = "2023",
doi = "10.1109/ICOIACT59844.2023.10455954",
language = "English",
series = "2023 6th International Conference on Information and Communications Technology, ICOIACT 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "132--137",
editor = "Akhmad Dahlan and Yoga Pristyanto and Aziza, {Rifda Faticha Alfa}",
booktitle = "2023 6th International Conference on Information and Communications Technology, ICOIACT 2023",
address = "United States",
}