Challenges for information access in multi-disciplinary product design and engineering settings

Ahlers, Dirk; Mehrpoor, Mahsa; Kristensen, Kjetil; Krogstie, John

doi:10.1109/icdim.2015.7381865

Cited by 5 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the end of the model construction, no error was found and the model was able to perform logical inferences. The importance of the reasoner to realize inferences and establish connections among individuals or classes makes ontological models useful tools for a peculiar domain (AHLERS et al, 2015).…”

Section: Defining Class Properties and Characteristics And Creating Instancesmentioning

confidence: 99%

Test planning based on ontological models constructed from product usage profiles

Paganin¹,

Borsato²,

Schmidt³

et al. 2019

Product (São Carlos, Online)

View full text Add to dashboard Cite

Design for Reliability (DfR) is such an approach that can be referred as a set of activities that attempts to ensure the reliability of a product throughout all stages of its lifecycle. Recent research works on the subject, as well as common practices by industry, have revealed no cases of implementation of DfR in the initial stages of new product development, such as the definition of test plans based on product usage profiles. Therefore, the main goal of this research is to elaborate a method, based on an ontological model, that allows the determination of the most appropriate test plan, by considering usage characteristics of products. In order to develop this method, the Design Science Research methodological framework was used. Achieved results show that the proposed solution is an efficient and easy-to-use method, which potentially improves product reliability throughout the product lifecycle.

show abstract

Section: Defining Class Properties and Characteristics And Creating Instancesmentioning

confidence: 99%

Test planning based on ontological models constructed from product usage profiles

Paganin¹,

Borsato²,

Schmidt³

et al. 2019

Product (São Carlos, Online)

View full text Add to dashboard Cite

show abstract

“…The goal is to allow the exchange of information between systems, minimizing semantic uncertainties. Ahlers et al (2015) present a system structure based on an ontology domain, aimed at providing information to users. Imran & Young (2015), and Kim et al (2006) point out the use of formal ontologies to represent assembly information mainly for the sharing of knowledge, establishing a taxonomy of concepts in this domain.…”

Section: Introductionmentioning

confidence: 99%

Expert system based on ontological model to support the detailed design of agricultural machinery: a case of hydraulic hoses

Schmidt¹,

Peruzzini²,

Paganin³

et al. 2020

Product

View full text Add to dashboard Cite

A large amount of design information from different areas has become common in most organizations, this knowledge is dispersed in different formats and locations, and shared among different members of the design team; this fact hinders a synergic knowledge management and prevents its proper use by design engineers. Therefore, it is imperative that companies worry about the organization and adequate availability of this knowledge, by creating collaborative environments. In this sense, it is possible to associate the Knowledge-Based Engineering (KBE) approach. Through the concepts of KBE, this study proposes an expert system based on an ontology model to assist the decision-making process, from the storage and adequate availability of knowledge at the right time. Based on a literature review and a diagnosis made in a company of the agricultural machinery sector, the present work presents a solution able to meet the needs of its users (i.e. designers), as well as to improve the quality of decisions taken at the detailed design phase of a New Product Development (NPD) process. For that, a case of hydraulic hose design is explored. The application of the present proposal aims to facilitate the access to information, significantly reduce the appearance of failures along the NPD, as well as allow acquired knowledge to be used in subsequent projects (e.g., lessons learned).

show abstract

“…In our prior research, we discussed challenges for information access in collaborative engineering workplace settings (Ahlers, Mehrpoor, Kristensen, & Krogstie, 2015), dealing with heterogeneous documents stored in shared networked file systems , and the framework of our proposed system in an engineering use case .…”

mentioning

confidence: 99%

Investigating contextual ontologies and document corpus characteristics for information access in engineering settings

Mehrpoor

Ahlers

Gulla

et al. 2017

Journal of Information Technology Case and Application Research

Self Cite

View full text Add to dashboard Cite

Knowledge and information resources play a pivotal role in enterprises and are valuable for solution reuse and learning through information access. However, identifying relevant information from a rapidly growing number of unstructured resources is challenging for users. We discuss a personalized information access tool for professional workplaces based on the recommender systems to provide relevant documents for users in specific work contexts based on domain-specific ontologies. Our use case is a multidisciplinary engineering project building an energy-efficient vehicle. We provide an indepth analysis of document corpus characteristics of this real-life shared engineering workspace to understand the content and context of documents using information retrieval methods and semantic annotations. Upon this, we build a contextual ontology as our knowledge domain for the recommender system. We validate our ontology-based content matching approach by evaluating the level of retrievability and coverage of the ontology against the indexed document corpus through experiments on the corpus and ontology. Our results provide insight into engineers' document workspaces and show that even a simple domain ontology is able to match a majority of documents from a domain-oriented corpus. The findings support our approach of using ontology-based recommendation for domain-specific workspaces.

show abstract

Challenges for information access in multi-disciplinary product design and engineering settings

Cited by 5 publications

References 24 publications

Test planning based on ontological models constructed from product usage profiles

Test planning based on ontological models constructed from product usage profiles

Expert system based on ontological model to support the detailed design of agricultural machinery: a case of hydraulic hoses

Investigating contextual ontologies and document corpus characteristics for information access in engineering settings

Contact Info

Product

Resources

About