Bibliografi |
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Pengarang |
Amanda Carrisa Ashardian; |
Barcode |
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Cat. Karya |
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No. Induk |
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Pembimbing |
Fariz Darari |
Kata Kunci |
Knowledge Graph, FAQ, E-Commerce, Verb Relations |
Pembimbing 3 |
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Pembimbing 2 |
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Tahun buku |
2023 |
Barcode RFID baru |
11593440 |
Tahun Angkatan |
2019 |
Progam Studi |
Ilmu Komputer |
Lokasi |
FASILKOM-UI; |
Tanggal Datang |
09/10/2023 |
Abstrak Indonesia |
ABSTRACT
Name : Amanda Carrisa Ashardian
Study Program : Computer Science
Title : Construction and Consumption of Frequently Asked Questions
Knowledge Graphs in the E-Commerce Domain
Counsellor : Fariz Darari Ph.D.
Frequently Asked Questions (FAQs) are documents (such as on a website) that give
answers to a list of common questions that users may ask about a certain topic.
Tokopedia is one of the largest e-commerce websites in Indonesia. This research
presents the construction of a Knowledge Graph (KG) with data from Tokopedia's
Frequently Asked Questions (FAQs) page. This research demonstrates use cases that
utilize the FAQ KG. The research approach involves a top-down method in KG
construction, which includes web scraping, part-of-speech (POS) tagging to obtain
nouns, adjectives, and verbs from the FAQ, verb ontology generation, and Resource
Description Framework (RDF)-based KG generation. The findings reveal new
capabilities such as queries to search FAQs based on a verb and its synonyms, as well as
insights gained by exploratory data analysis (EDA) and using SPARQL queries. These
findings can improve FAQ services for e-commerce through KG generation.
Keywords:
Knowledge Graph, FAQ, E-Commerce, Verb Relations
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Daftar Isi |
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Cat. Umum |
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Judul |
Construction and Consumption of Frequently Asked Questions Knowledge Graphs in the E-Commerce Domain |
Asal |
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Korporasi |
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NPM |
190639996 |
Abstrak English |
ABSTRAK
Nama : Amanda Carrisa Ashardian
Program Studi : Ilmu Komputer
Judul : Konstruksi dan Konsumsi Knowledge Graph Frequently Asked
Questions pada Domain E-Commerce
Pembimbing : Fariz Darari Ph.D.
Frequently Asked Questions (FAQs) adalah dokumen (seperti di situs web) yang
memberikan jawaban atas daftar pertanyaan umum yang mungkin ditanyakan pengguna
mengenai subjek tertentu. Tokopedia adalah salah satu website e-commerce terbesar di
Indonesia. Penelitian ini menyajikan konstruksi Knowledge Graph (KG) dengan data
dari halaman FAQ Tokopedia. Penelitian ini mendemokan use cases yang
memanfaatkan FAQ KG tersebut. Pendekatan penelitian ini melibatkan metode topdown dalam konstruksi KG, yang meliputi web scraping, part-of-speech (POS) tagging
untuk mendapatkan kata benda, kata sifat, dan kata kerja dari FAQ, pembuatan ontologi
kata kerja, dan pembuatan KG berbasiskan Resource Description Framework (RDF).
Temuan-temuan utama mengungkapkan kemampuan baru seperti kueri untuk mencari
FAQ berdasarkan suatu kata kerja dan sinonimnya, serta wawasan yang diperoleh
dengan exploratory data analysis dan menggunakan kueri SPARQL. Temuan ini bisa
meningkatkan layanan FAQ untuk e-commerce melalui pembuatan KG.
Kata kunci:
Knowledge Graph, FAQ, E-Commerce, Verb Relations
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Pengarang 2 |
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Subjek |
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Penguji 2 |
Evi Yulianti |
Penguji 3 |
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Pembimbing 1 |
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Fisik |
xix, 131 hlm; ill'30 cm. |
Bahasa |
Ind |
Lulus Semester |
Ganjil 2023 |
Penerbitan |
Depok: Fasilkom UI, 2023 |
No. Panggil |
SK-2207 (Softcopy SK-1589 |
Penguji 1 |
Dipta Tanaya |
Lulus semester SI |
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