Towards a Sales Assistant Using a Product Knowledge Graph

Kim, Haklae

doi:10.2139/ssrn.3199309

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…Figure 1 shows the life cycle data of the entire big data product [11][12][13][14]. 2 shows the neural style transfer structure, using the "encoder-AdaIN-decoder" architecture, which mainly includes three parts: encoder, AdaIN, and decoder [15][16][17].…”

Section: Big Data Technologymentioning

confidence: 99%

Research on Innovative Design of Product Packaging Based on Big Data Technology

Fang

Romainoor

Guo³

2022

Scientific Programming

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Traditional product packaging design mainly relies on the designer's personal experience and intuition, but there are problems such as uncontrollable content and lack of knowledge and guidance in the field of product design. With the development of big data technology, product packaging design in the era of big data is carried out under the support of a large amount of real data, which has high predictability, success rate, and short development cycle. Compared with structured data, unstructured data such as text, images, and audio has a higher value. Among them, text big data and image big data have good application prospects in the field of product packaging design due to their easy data acquisition, mature processing technology, and simple operation. This paper proposes a combination of big data technology and neural style transfer model and proposes an innovative design method for product packaging that can generate high-quality images and controllable content. First, the perceptual engineering theory is used to obtain user needs, to build a mapping model between product modeling elements and product semantics, and to guide the selection of product semantics and style maps; second, use neural style transfer models to reconstruct and combine the color features of style maps. After the integration, it migrated to product packaging design, based on big data product packaging innovation design methods, and developed a product innovation design auxiliary prototype system based on actual needs to improve the company’s R&D and innovation capabilities, shorten product development cycles, and reduce R&D costs. Improve product success rate and user satisfaction.

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Section: Big Data Technologymentioning

confidence: 99%

Research on Innovative Design of Product Packaging Based on Big Data Technology

Fang

Romainoor

Guo³

2022

Scientific Programming

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“…By constructing a product KG, A new way for interpreting product features and functions is provided, and consumers can learn more about the details of product production [22]. Kim [23] proposed a knowledge representation framework based on semantic hypergraphs to support knowledge sharing in product development. The KG construction process generally includes the following steps: entity extraction, unit relationship extraction, and structured display [24].…”

Section: Related Workmentioning

confidence: 99%

KnowIME: A System to Construct a Knowledge Graph for Intelligent Manufacturing Equipment

Yan

Yang

2020

IEEE Access

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With the development of a new generation of information technology, such as big data and cognitive intelligence, we are in the postmodern era of artificial intelligence. Currently, the manufacturing industry is in the critical period of transitioning to smart manufacturing, but the cognitive capabilities of devices in smart factories are still scarce. Knowledge Graph (KG) is one of the key technologies of cognitive intelligence, which opens a new path for the horizontal integration of intelligent manufacturing. Therefore, this paper proposes and builds a manufacturing equipment information query system based on KG. Firstly, a large amount of heterogeneous data that contains vast devices information is obtained from the network. Secondly, the conditional random fields (CRF) algorithm is used to extract the entity name, product place, and company name of the device, and then the relationship between the device entities is identified by calculating the similarity and Chinese syntax analysis. In the validation section, we use to the map of Neo4j graph database, when we input a name of a device in the search box, the system can return a relational graph node. In addition, the shortest path optimization algorithm is used to calculate the similarity between nodes in the search process to achieve the recommendation of similar node information.

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“…Os grafos de conhecimento (Knowledge Graphs [Hogan et al 2021] -KGs) utilizam um modelo de dados baseado em grafos para capturar conhecimento de diversas fontes em larga escala. Análises baseadas em KGs são utilizadas em diversos tipos de sistemas, tais quais, busca por informac ¸ão [Arnaout and Elbassuoni 2018], sistemas de reposta à questões [Singh et al 2020], extrac ¸ão de informac ¸ão de notícias [Rospocher et al 2016], assistentes [Kim 2017], dentre diversos outros. Conforme o conhecimento evolui ao longo do tempo [Chen et al 2008], é natural que possam existir diversas versões de um KG, as quais representam o estado do conhecimento naquele instante específico do tempo.…”

Section: Introduc ¸ãOunclassified

Visualização Interativa da Evolução de Grafos de Conhecimento

Souza

Rossanez²,

Reis³

et al. 2022

Anais Do XXXVII Simpósio Brasileiro De Banco De Dados (SBBD 2022)

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Grafos de conhecimento são artefatos essenciais na representação estruturada de dados em diversos domínios de aplicação. Grafos de conhecimento temporais expressam um conjunto de tais grafos no tempo. Uma necessidade relevante reside na análise e tomada de decisões a partir dessas estruturas. Estudamos a concepção de uma ferramenta para a visualização interativa da evolução de grafos de conhecimento. Implementamos TKGEvolViewer, uma ferramenta que possibilita a exploração gráfica de grafos de conhecimento temporais a partir de valores de métricas codificadas em suas estruturas. Nossos resultados permitem a condução de análises visuais sobre os grafos através de um modal gráfico, filtrando informações obtidas de análises predefinidas.

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Towards a Sales Assistant Using a Product Knowledge Graph

Cited by 3 publications

References 10 publications

Research on Innovative Design of Product Packaging Based on Big Data Technology

Research on Innovative Design of Product Packaging Based on Big Data Technology

KnowIME: A System to Construct a Knowledge Graph for Intelligent Manufacturing Equipment

Visualização Interativa da Evolução de Grafos de Conhecimento

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