An integrated application for historical knowledge management with mould design navigating process

Jong, Wen-Ren; Ting, Yu-Hung; Li, Tai-Chih; Chen, Kuan‐Yu

doi:10.1080/00207543.2012.715769

Cited by 10 publications

(4 citation statements)

References 10 publications

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“…Goel et al (2012) indicated that the use of machine learning techniques and multimodal reasoning could help support a wide variety of design methods and behavioural models. Jong et al (2013) used a three-tier architecture involving a historic knowledge platform, built-in API and MS-SQL database management systems to support mould design. Also a demand-driven knowledge acquisition system based on demand pre-processing, knowledge retrieval and searching has been implemented (Chen and Chen, 2014).…”

Section: Knowledge-based System Designmentioning

confidence: 99%

Integrated Ontologies in Support of Factory Systems Design

Zhang

Agyapong-Kodua

2015

IFAC-PapersOnLine

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Digital factory modelling based on virtual design and simulation has emerged as part of the mainstream activities geared towards reducing product design cycle. Some basic industrial systems are currently integrated via semantic modelling technologies so that products matching processes and resource requirements are integrated to fulfil customer demands. Despite these achievements, product design is still dependent on the knowledge of designers and do not benefit from existing process and resource knowledge, which are in separate domains. This paper therefore presents an integration method based on semantic technologies and PPR ontologies to enable the reuse of known and unknown knowledge. The method relies on the use of cloud manufacturing to improve the efficiency of responses generated by querying the PPR ontology.

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Section: Knowledge-based System Designmentioning

confidence: 99%

Integrated Ontologies in Support of Factory Systems Design

Zhang

Agyapong-Kodua

2015

IFAC-PapersOnLine

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“…Teknologi informasi adalah fasilitas dan infrastruktur (perangkat keras, perangkat lunak, perangkat lunak), sistem dan metode untuk memperoleh, mentransmisikan, memproses, menafsirkan, menyimpan, mengatur, dan menggunakan data secara bermakna. Saat ini tren teknologi dan inovasi dalam TI mendorong pengembangan dan pengenalan sistem Manajemen Pengetahuan, yang menciptakan peluang baru bagi Organisasi [12,14].…”

Section: Pendahuluanunclassified

Work System Framework: Analisis Inmagic Presto dan Zendesk

Joshua

Mogea

2019

CogITo Smart Journal

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AbstrakSaat ini informasi dan pengetahuan sangat berharga terutama dengan adanya persaingan, sulit bagi organisasi untuk mengelola pengetahuan di dalam organisasi. Pengetahuan setiap orang dalam organisasi atau perusahaan tentu berbeda, dalam pelaksanaan proses pengolahan Pengetahuan tidak berjalan maksimal di lingkungannya. Pemrosesan berbasis Manajemen Pengetahuan menjadi salah satu solusi untuk membantu pemrosesan pengetahuan dalam organisasi. Saat ini telah ada pengembangan Aplikasi TI berdasarkan Manajemen Pengetahuan yang diharapkan memiliki dampak positif dalam membantu dan membangun organisasi atau perusahaan. Dalam tulisan ini, akan dianalisis dan membandingkan dua Aplikasi TI berdasarkan Manajemen Pengetahuan, pertama Inmagic Presto dan kedua Zendesk. Penelitian ini dilakukan untuk melihat kelebihan dan perbandingan yang ada pada kedua aplikasi dalam menggunakan Kerangka Kerja Sistem. Hasil analisis akan menjadi kesimpulan untuk merekomendasikan Aplikasi IT berdasarkan Manajemen Pengetahuan sesuai dengan kebutuhan perusahaan, yang didasarkan pada kemampuan yang ada di setiap aplikasi dan area implementasi aplikasi. Kata kunci-Work System Framework, Manajemen Pengetahuan, Inmagic Presto, Zendesk AbstractNowadays Information and knowledge are very valuable especially with the existence of competition, it is difficult for an organization to manage knowledge inside the organization. Knowledge of each person in the organization or companies are certainly different, in the implementation of Knowledge processing process is not running maximally in its environment. Processing based on Knowledge Management being one of the solutions to help the processing of knowledge in the organization. Currently there has been the development of IT Applications based on Knowledge Management that are expected to have a positive impact in helping and building an organization or companies. In this paper, will be analyse and compare of two IT Applications based on Knowledge Management, firstly Inmagic Presto and secondly Zendesk. This Research conduct to see the advantages and comparisons that exist in both applications in using Work Systems Framework. The results of the analysis will be a conclusion to recommend IT Applications based on Knowledge Management in accordance with the needs of the company, which is based on the existing capabilities in each application and implementation area of the application.

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“…Plastic injection molding has multiple advantages and its application scope is gradually expanding, with relevance to the manufacturing processes of daily products and precision components. Jong et al [1,2], based on accumulated practical knowledge from past mold design processes, established a mold design navigating system using computer-aided design (CAD) secondary development tools and a historical knowledge base. This system can assist personnel in making decisions during the mold design process, accelerate the mold design schedule, and prevent losses caused by an improper design.…”

Section: Introductionmentioning

confidence: 99%

Retrieval of Injection Molding Industrial Knowledge Graph Based on Transformer and BERT

et al. 2023

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Knowledge graphs play an important role in the field of knowledge management by providing a simple and clear way of expressing complex data relationships. Injection molding is a highly knowledge-intensive technology, and in our previous research, we have used knowledge graphs to manage and express relevant knowledge, gradually establishing an injection molding industrial knowledge graph. However, the current way of retrieving knowledge graphs is still mainly through programming, which results in many difficulties for users without programming backgrounds when it comes to searching a graph. This study will utilize the previously established injection molding industrial knowledge graph and employ a BERT (Bidirectional Encoder Representations from Transformers) fine-tuning model to analyze the semantics of user questions. A knowledge graph will be retrieved through a search engine built on the Transformer Encoder, which can reason based on the structure of the graph to find relevant knowledge that satisfies a user’s questions. The experimental results show that both the BERT fine-tuned model and the search engine achieve an excellent performance. This approach can help engineers who do not have a knowledge graph background to retrieve information from the graph by inputting natural language queries, thereby improving the usability of the graph.

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An integrated application for historical knowledge management with mould design navigating process

Cited by 10 publications

References 10 publications

Integrated Ontologies in Support of Factory Systems Design

Integrated Ontologies in Support of Factory Systems Design

Work System Framework: Analisis Inmagic Presto dan Zendesk

Retrieval of Injection Molding Industrial Knowledge Graph Based on Transformer and BERT

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