ICT Evolution Map Based on Indonesian Patent Documents Using Text Clustering Analysis

Prio Adi Ramadhani; Adhi Dharma Wibawa

doi:10.1109/ICITISEE57756.2022.10057643

ICT Evolution Map Based on Indonesian Patent Documents Using Text Clustering Analysis

Prio Adi Ramadhani
, Adhi Dharma Wibawa
, Endroyono

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Indonesia needs a technology development strategy by referring to existing development data. Existing data can be obtained from past patent data. In accelerating the discovery of evolution technology map, techniques are needed to extract patent information to technology clusters. To do this, a combination of the Word2Vec and TF-IDF models is used. Both models are used to calculate similarities among patent documents. 194 Indonesian ICT patent documents were processed in this study. Similar patents are clustered using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. The result is 105 patent clusters, 15 of these clusters were detected as experiencing evolution. This means that many research activities have been done by Indonesian scientists, but only 14.29% of them have shown some evolution. The rest of the 85.71% of the research ended up without further development.

Original language	English
Title of host publication	Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering
Subtitle of host publication	Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	109-114
Number of pages	6
ISBN (Electronic)	9798350399615
DOIs	https://doi.org/10.1109/ICITISEE57756.2022.10057643
Publication status	Published - 2022
Event	6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022 - Virtual, Online, Indonesia Duration: 13 Dec 2022 → 14 Dec 2022

Publication series

Name	Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022

Conference

Conference	6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022
Country/Territory	Indonesia
City	Virtual, Online
Period	13/12/22 → 14/12/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

ICT
Indonesian patent documents
evolution map

Access to Document

10.1109/ICITISEE57756.2022.10057643

Cite this

Ramadhani, P. A., Wibawa, A. D., & Endroyono (2022). ICT Evolution Map Based on Indonesian Patent Documents Using Text Clustering Analysis. In Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022 (pp. 109-114). (Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICITISEE57756.2022.10057643

Ramadhani, Prio Adi ; Wibawa, Adhi Dharma ; Endroyono. / ICT Evolution Map Based on Indonesian Patent Documents Using Text Clustering Analysis. Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 109-114 (Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022).

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title = "ICT Evolution Map Based on Indonesian Patent Documents Using Text Clustering Analysis",

abstract = "Indonesia needs a technology development strategy by referring to existing development data. Existing data can be obtained from past patent data. In accelerating the discovery of evolution technology map, techniques are needed to extract patent information to technology clusters. To do this, a combination of the Word2Vec and TF-IDF models is used. Both models are used to calculate similarities among patent documents. 194 Indonesian ICT patent documents were processed in this study. Similar patents are clustered using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. The result is 105 patent clusters, 15 of these clusters were detected as experiencing evolution. This means that many research activities have been done by Indonesian scientists, but only 14.29\% of them have shown some evolution. The rest of the 85.71\% of the research ended up without further development.",

keywords = "ICT, Indonesian patent documents, evolution map",

author = "Ramadhani, \{Prio Adi\} and Wibawa, \{Adhi Dharma\} and Endroyono",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022 ; Conference date: 13-12-2022 Through 14-12-2022",

year = "2022",

doi = "10.1109/ICITISEE57756.2022.10057643",

language = "English",

series = "Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering",

address = "United States",

}

Ramadhani, PA, Wibawa, AD & Endroyono 2022, ICT Evolution Map Based on Indonesian Patent Documents Using Text Clustering Analysis. in Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022. Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 109-114, 6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022, Virtual, Online, Indonesia, 13/12/22. https://doi.org/10.1109/ICITISEE57756.2022.10057643

ICT Evolution Map Based on Indonesian Patent Documents Using Text Clustering Analysis. / Ramadhani, Prio Adi; Wibawa, Adhi Dharma ; Endroyono.
Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 109-114 (Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - ICT Evolution Map Based on Indonesian Patent Documents Using Text Clustering Analysis

AU - Ramadhani, Prio Adi

AU - Wibawa, Adhi Dharma

AU - Endroyono,

PY - 2022

Y1 - 2022

N2 - Indonesia needs a technology development strategy by referring to existing development data. Existing data can be obtained from past patent data. In accelerating the discovery of evolution technology map, techniques are needed to extract patent information to technology clusters. To do this, a combination of the Word2Vec and TF-IDF models is used. Both models are used to calculate similarities among patent documents. 194 Indonesian ICT patent documents were processed in this study. Similar patents are clustered using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. The result is 105 patent clusters, 15 of these clusters were detected as experiencing evolution. This means that many research activities have been done by Indonesian scientists, but only 14.29% of them have shown some evolution. The rest of the 85.71% of the research ended up without further development.

AB - Indonesia needs a technology development strategy by referring to existing development data. Existing data can be obtained from past patent data. In accelerating the discovery of evolution technology map, techniques are needed to extract patent information to technology clusters. To do this, a combination of the Word2Vec and TF-IDF models is used. Both models are used to calculate similarities among patent documents. 194 Indonesian ICT patent documents were processed in this study. Similar patents are clustered using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. The result is 105 patent clusters, 15 of these clusters were detected as experiencing evolution. This means that many research activities have been done by Indonesian scientists, but only 14.29% of them have shown some evolution. The rest of the 85.71% of the research ended up without further development.

KW - ICT

KW - Indonesian patent documents

KW - evolution map

UR - https://www.scopus.com/pages/publications/85150464997

U2 - 10.1109/ICITISEE57756.2022.10057643

DO - 10.1109/ICITISEE57756.2022.10057643

M3 - Conference contribution

AN - SCOPUS:85150464997

T3 - Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022

SP - 109

EP - 114

BT - Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022

Y2 - 13 December 2022 through 14 December 2022

ER -

Ramadhani PA, Wibawa AD , Endroyono. ICT Evolution Map Based on Indonesian Patent Documents Using Text Clustering Analysis. In Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 109-114. (Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022). doi: 10.1109/ICITISEE57756.2022.10057643

ICT Evolution Map Based on Indonesian Patent Documents Using Text Clustering Analysis

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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