Research on Ontology-Based Multi-source Engineering Information Retrieval in Integrated Environment of Enterprise

Yao, Yong; Lin, Lanfen; Dong, Jinxiang

doi:10.1109/i-esa.2009.25

Cited by 10 publications

(3 citation statements)

References 16 publications

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“…(Fensel et al, 2020) In context of engineering and industrial information retrieval Li et al (2007a) proposed a methodology for developing an engineering ontology to structure unstructured engineering documents and improve information retrieval. Yao et al (2009) presented an ontology-based framework for multi-source engineering information retrieval in an integrated enterprise environment. Sriti et al (2015) introduced SPIKE, an ontology-based methodology for exchanging product lifecycle information across various systems.…”

Section: Ontologies and Semantic Modelingmentioning

confidence: 99%

Introducing a multipliable BOM-based automatic definition of information retrieval in plant engineering

Layer,

Neubert,

Stelzer

2024

Proc. Des. Soc.

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The complexity of process plants and the growing demand for digitalization require efficient and accurate information retrieval throughout the lifecycle phases of a process plant. This paper discusses the concept of instantiation and introduces a method for identifying and multiplying required information in plant engineering using scalable so-called Instantiation Blocks linked to the Bill of Material. Core functionality, an ontology graph and a user interface based on Python and React are developed to demonstrate the implementation of the framework and validate its effectiveness in practice.

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Section: Ontologies and Semantic Modelingmentioning

confidence: 99%

Introducing a multipliable BOM-based automatic definition of information retrieval in plant engineering

Layer,

Neubert,

Stelzer

2024

Proc. Des. Soc.

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“…A keyword-based search approach, which is used at a high level of maturity by internet search engines, is often not sufficient to find the correct information across different engineering IT systems due to problems like different naming conventions or hierarchies [22]. The information retrieval service proposed in this paper will use semantic search technologies as a solution to this problem by utilizing knowledge described in a formal and machine-interpretable way.…”

Section: Information Retrievalmentioning

confidence: 99%

Supporting Linked Engineering Data Management of Smart Product Systems Through Semantic Platform Services

Gries

Eickhoff

Eiden

et al. 2020

Product Lifecycle Management Enabling Smart X

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The increasing industrial relevance of connected smart product systems, enhanced individualized customer requirements, regulatory boundary conditions as well as advanced value networks and volatile international markets determine a new level of engineering complexity. Current engineering processes are enabled by a large number of IT applications, which are partially orchestrated by product lifecycle management solutions. Considering the dramatically increasing complexity, the IT applications are often not adequately connected as a whole, leading to interruptions in the process chains and finally resulting in quality problems, time expenditure, and additional costs.To support seamless engineering processes, a sufficiently linked information system structure is necessary. Due to the often-existing best-of-breed solutions and historically grown IT infrastructures, the direct point-to-point coupling of IT systems among each other requires disproportionately high efforts. As an approach to improve the existing situation, integration platforms utilizing loose coupling of individual heterogeneous engineering IT applications by semantic web technologies could be used to create a comprehensive, linked engineering data structure.This paper presents a conceptual IT-Service approach that utilizes this linked data structure to address problems in the area of information retrieval, data exchange, and data quality. A fundamental service function enables easy access to the information scattered throughout the whole organization. This approach could contribute to a high level of transparency within the company's internal processes and relationships between data across individual engineering IT applications. The proposed concepts for IT platform services facilitate the exchange of data between different software applications and the standardized checking and documentation of data quality.

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“…The user queries consist of a list of keywords that are processed with a semantic disambiguation technique supported with a business ontology and a lexicon of terms. The authors in (Yao et al 2009) proposed a retrieval framework for the retrieval of resources used in the processes of product design and manufacturing. The system maps the user queries (i.e.…”

Section: Related Workmentioning

confidence: 99%

A Pattern-based Approach for Semantic Retrieval of Information Resources in Enterprises - Application Within STMicroelectronics

Bouzid

Cauvet

Frydman

et al. 2014

Proceedings of the 16th International Conference on Enterprise Information Systems

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Information-resource retrieval in enterprises is becoming a major concern nowadays because of the importance of business information in supporting the satisfaction of business objectives. To enhance resource retrieval in enterprises, this paper argues that it is necessary to coherently include the user need in the search process, in particular when this need is business-context dependent. A pattern-based approach is proposed for this purpose. The approach captures the business needs in a company using goal-oriented mechanisms and integrates them in a keyword search using alignment patterns. These patterns are used to both guide the search process and semantically fill the gap between the low-level description of information resources and the high-level needs of business actors. The approach has been applied for resource retrieval in the context of the manufacturing-process control within the STMicroelectronics Company.

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Research on Ontology-Based Multi-source Engineering Information Retrieval in Integrated Environment of Enterprise

Cited by 10 publications

References 16 publications

Introducing a multipliable BOM-based automatic definition of information retrieval in plant engineering

Introducing a multipliable BOM-based automatic definition of information retrieval in plant engineering

Supporting Linked Engineering Data Management of Smart Product Systems Through Semantic Platform Services

A Pattern-based Approach for Semantic Retrieval of Information Resources in Enterprises - Application Within STMicroelectronics

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