Heterogeneous Information Network-Based Scientific Workflow Recommendation for Complex Applications

Wen, Yiping; Hou, Junjie; Yuan, Zhen; Zhou, Dong

doi:10.1155/2020/4129063

Cited by 9 publications

(4 citation statements)

References 38 publications

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“…Step 2: selecting similar classical art exhibition activity fragment subsets: firstly, the subsets of fragments that have been divided are obtained based on the subset centre of gravity finding method [15][16][17] to obtain the centre of gravity fragments in the subsets. en, based on the Doc2vec model [18] and the graph editing distance, the matching degree between the user's recommendation needs and the centre of gravity classical art exhibition activity fragments is calculated, and the subset of fragments with the maximum matching degree is selected.…”

Section: Basic Ideamentioning

confidence: 99%

A Recommended Approach to Classical Literature and Art Exhibition Activities Oriented towards Interactive Modelling

2022

Security and Communication Networks

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Chinese classical literature and art exhibition activities have a special role to play in improving the humanities of students. Introducing elements of classical literature into cultural activities can effectively complement the current humanities education in universities. To improve the efficiency and intelligence of classical literature and art exhibition activities, this paper proposes an interactive modelling-oriented method for recommending classical literature and art exhibition activities in response to the characteristics of existing art exhibition event management systems (AEEMS) in supporting process modelling and the interactive modelling needs of audiences. By using exhibition event segments as the recommended reference model, the process includes steps such as data preprocessing and calculating the matching degree and can recommend reasonable classical literature art exhibition events based on the art exhibition model under construction and the modelling needs of the audience. Experimental data are obtained by using a questionnaire survey method, and the experimental results show that it outperforms existing methods in terms of evaluation indicators such as accuracy, recall, and F 1 , indicating the effectiveness of the proposed method.

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Section: Basic Ideamentioning

confidence: 99%

A Recommended Approach to Classical Literature and Art Exhibition Activities Oriented towards Interactive Modelling

2022

Security and Communication Networks

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“…As a result, some researchers 25,29,30 use the structural and social information of modules and workflows to study the alignment problem. In Reference 31, a scientific workflow is converted into a layer hierarchy so that hierarchical relations are considered for computing semantic similarity of activities and workflows.…”

Section: Module Alignment Based On Semantic Informationmentioning

confidence: 99%

MANSOR: A module alignment method based on neighbor information for scientific workflow

Cao

Qian

et al. 2023

Concurrency and Computation

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SummaryFinding similar scientific workflow modules that can substitute essential components of the privacy workflows from public repositories to create a personalized workflow is growing in popularity. This is a cost‐effective and error‐free strategy for the scientific community. Currently, module alignment approaches heavily depend on syntactic information such as modules' names and types. However, the contextual semantic information of modules, which encompasses inputs, outputs, and datalinks connecting modules, can also convey their functions. Unfortunately, this information is scarcely utilized during the module alignment process. In this work, we propose a module alignment method based on neighbor information for scientific workflow (MANSOR). Specifically, we present a rule‐based attribute similarity computation approach for calculating initial module‐pair similarity in two workflows. The relation similarity is then employed to iteratively fine‐tune the matching degree with uncertainty of module pairs by considering the contextual semantics until reaching a steady state. After pairwise comparison of workflows, the module alignment results are determined based on their module‐pair similarity. Experimental results on the human‐curated corpus of ratings indicate that MANSOR outperforms the existing state‐of‐the‐art approaches with statistical significance.

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“…Automated Recommendations Recent work by Wen et al suggests that it may be possible to automatically determine similarity of workflows in repositories [113]. This could allow for enhanced discoverability of workflows.…”

Section: Domain-specific Tutorials and Sample Workflowsmentioning

confidence: 99%

Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State-of-the-Practice

Oakes¹,

Famelis²,

Sahraoui³

2022

Preprint

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Domain experts are increasingly employing machine learning to solve their domain-specific problems. This article presents six key challenges that a domain expert faces in transforming their problem into a computational workflow, and then into an executable implementation. These challenges arise out of our conceptual framework which presents the "route" of options that a domain expert may choose to take while developing their solution.To ground our conceptual framework in the stateof-the-practice, this article discusses a selection of available textual and graphical workflow systems and their support for these six challenges. Case studies from the literature in various domains are also examined to highlight the tools used by the domain experts as well as a classification of the domain-specificity and machine learning usage of their problem, workflow, and implementation.The state-of-the-practice informs our discussion of the six key challenges, where we identify which challenges are not sufficiently addressed by available tools. We also suggest possible research directions for software engineering researchers to increase the automation of these tools and disseminate best-practice techniques between software engineering and various scientific domains.

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Heterogeneous Information Network-Based Scientific Workflow Recommendation for Complex Applications

Cited by 9 publications

References 38 publications

A Recommended Approach to Classical Literature and Art Exhibition Activities Oriented towards Interactive Modelling

A Recommended Approach to Classical Literature and Art Exhibition Activities Oriented towards Interactive Modelling

MANSOR: A module alignment method based on neighbor information for scientific workflow

Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State-of-the-Practice

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