Ontology-Based Approach for the Use of Intentional Forgetting in Product Development

Kügler, Patricia; Kestel, Philipp; Schon, Claudia; Marian, Max; Schleich, Benjamin; Staab, Steffen; Wartzack, Sandro

doi:10.21278/idc.2018.0402

Cited by 10 publications

(9 citation statements)

References 9 publications

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“…with a KB K that formalizes a test rig. Engineers developed the KB [13] in the EVOWIPE project. The KB contains 15 concepts, 17 roles and 26 individuals.…”

Section: Discussionmentioning

confidence: 99%

“…The EVOWIPE 4 project is situated in the domain of product development and aims at developing methods to support the product developer in the process of deleting aspects from KBs. In the domain of product development, the KB may harbor many dependencies that can be exploited to maintain the model validity by providing cascading deletions to the product developer freeing him from error-prone manual work [13].…”

Section: Introductionmentioning

confidence: 99%

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Metaproperty-Guided Deletion from the Instance-Level of a Knowledge Base

Schon

Staab

Kügler

et al. 2018

Lecture Notes in Computer Science

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The ontology modeling practice of engineering metaproperties of concepts is a well-known technique. Some metaproperties of concepts describe the dynamics of concept instances, i.e. how instances can and cannot be altered. We investigate how deletions in an ontology-based knowledge base interact with the metaproperties rigidity and dependence. A particularly useful effect are delete cascades. We evaluate how rigidity and dependence may guide delete cascades in an engineering application. A case study in the area of product development shows that beyond explicitly defined deletions, our approach achieves further automated and desirable deletions of facts with high precision and good recall.

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“…with a KB K that formalizes a test rig. Engineers developed the KB [13] in the EVOWIPE project. The KB contains 15 concepts, 17 roles and 26 individuals.…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Metaproperty-Guided Deletion from the Instance-Level of a Knowledge Base

Schon

Staab

Kügler

et al. 2018

Lecture Notes in Computer Science

Self Cite

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“…Note, that the information from the assembly's relations are lost in this procedure. They are added afterward using the approach to Kügler et al (2018).…”

Section: Top-down Approach For Disassembly and Segmentation Of The Cax Modelmentioning

confidence: 99%

Integrating the Mechanical Domain into Seed Approach

Dworschak¹,

Kügler²,

Schleich³

et al. 2019

Proc. Int. Conf. Eng. Des.

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Data-driven technologies have found their way into all areas of engineering. In product development they can accelerate the customization to individualized requirements. Therefore, they need a database that exceeds common product data management systems. The creation of this database proves to be challenging because in addition to explicit standards and regulations the product design contains implicit knowledge of product developers. Hence, this paper presents an approach for the semantic integration of the engineering design (SeED). The goal is an automated design of an ontology, which represents the product design in detail.SeED fulfils two tasks. First, the ontology provides a machine-processable representation of the products design, which enables all kind of data-driven technologies. Among other representations, the ontology contains formal logics and semantics. Accordingly, it is a more comprehensible solution for product developers and knowledge engineers. Second, the detailed representation enables discovering of intrinsic knowledge, e.g. design patterns in product generations. Consequently, SeED is a novel approach for efficient semantic integration of the product design.

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“…Those adaptions provide some unintentionally used IF mechanisms, like Cascading Forgetting, thus it was used to inspire the scenarios for IF. Figure 1 shows an excerpt of the graphical visualized semantic model of the test-rig, which was firstly introduced in Kügler et al (2018). In the left down corner the core structure of the ontology describes the product development process with classes (yellow) and relations (blue).…”

Section: An Example: Setting Up An Ontology As a Semantic Model Of A mentioning

confidence: 99%

“…The ontology for the test-rig is partly automatically generated. While requirements, functions and solution principles have to be inserted manually, in Kügler et al (2018) an automated approach is introduced for generating individuals from CAD-data and assign them to classes of the core ontology, as well as relate them. This approach uses text-mining methods like Information Extraction for extracting classes, individuals and relations from CAD reference lists.…”

Section: An Example: Setting Up An Ontology As a Semantic Model Of A mentioning

confidence: 99%

Cascading Forgetting in Product Development Challenges and Evaluation

Kügler

Schon

Schleich

et al. 2019

Proc. Int. Conf. Eng. Des.

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Vast amounts of information and knowledge is produced and stored within product design projects. Especially for reuse and adaptation there exists no suitable method for product designers to handle this information overload. Due to this, the selection of relevant information in a specific development situation is time-consuming and inefficient. To tackle this issue, the novel approach Intentional Forgetting (IF) is applied for product design, which aims to support reuse and adaptation by reducing the vast amount of information to the relevant. Within this contribution an IF-operator called Cascading Forgetting is introduced and evaluated, which was implemented for forgetting related information elements in ontology knowledge bases. For the evaluation the development process of a test-rig for studying friction and wear behaviour of the cam/tappet contact in combustion engines is analysed. Due to the interdisciplinary task of the evaluation and the characteristics of semantic model, challenges are discussed. In conclusion, the focus of the evaluation is to consider how reliable the Cascading Forgetting works and how intuitive ontology-based representations appear to engineers.

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Ontology-Based Approach for the Use of Intentional Forgetting in Product Development

Cited by 10 publications

References 9 publications

Metaproperty-Guided Deletion from the Instance-Level of a Knowledge Base

Metaproperty-Guided Deletion from the Instance-Level of a Knowledge Base

Integrating the Mechanical Domain into Seed Approach

Cascading Forgetting in Product Development Challenges and Evaluation

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