{"title":"Enhancing Software Interoperability Through Virtual Knowledge Graphs From Object-Oriented APIs","authors":"Maximilian Weigand;Felix Gehlhoff;Alexander Fay","doi":"10.1109/ACCESS.2026.3668745","DOIUrl":null,"url":null,"abstract":"In engineering disciplines such as mechanical or automation engineering, data exchange between different software often relies on non-standardized interfaces. While Semantic Web technologies (SWTs) offer solutions for efficient and versatile data exchange, the majority of software in engineering lack interfaces based on these technologies. Previous research has explored approaches to abstract structured data from external sources as virtual knowledge graphs (VKGs). In this work, we propose an approach to create VKGs from data available via the APIs of engineering software, enabling the querying of engineering data through SWTs and thus facilitating standardized data exchange. We first mathematically introduce the components of APIs of object-oriented software, including classes, their hierarchical relationships, attributes, and instances. We then define formulas to derive the triples of the VKG representing the components, as well as resulting triples according to RDFS entailment rules. Finally, we define a procedure based on the aforementioned formulas, which enables querying the VKG using triple patterns. This provides access to the VKG representing the software-internal data without materialization, in line with the concept of virtual. We provide a general implementation of the approach, supporting triple pattern and SPARQL queries, and a software-specific adaption for a particular engineering software. Using this, we demonstrate the capabilities of the approach through an industrial use case. The performance characteristics of the approach are evaluated by analyzing query execution times and scaling behavior across different query types and graph sizes, in comparison with equivalent materialized graphs.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"14 ","pages":"34339-34355"},"PeriodicalIF":4.2000,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11414095","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Access","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11414095/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
In engineering disciplines such as mechanical or automation engineering, data exchange between different software often relies on non-standardized interfaces. While Semantic Web technologies (SWTs) offer solutions for efficient and versatile data exchange, the majority of software in engineering lack interfaces based on these technologies. Previous research has explored approaches to abstract structured data from external sources as virtual knowledge graphs (VKGs). In this work, we propose an approach to create VKGs from data available via the APIs of engineering software, enabling the querying of engineering data through SWTs and thus facilitating standardized data exchange. We first mathematically introduce the components of APIs of object-oriented software, including classes, their hierarchical relationships, attributes, and instances. We then define formulas to derive the triples of the VKG representing the components, as well as resulting triples according to RDFS entailment rules. Finally, we define a procedure based on the aforementioned formulas, which enables querying the VKG using triple patterns. This provides access to the VKG representing the software-internal data without materialization, in line with the concept of virtual. We provide a general implementation of the approach, supporting triple pattern and SPARQL queries, and a software-specific adaption for a particular engineering software. Using this, we demonstrate the capabilities of the approach through an industrial use case. The performance characteristics of the approach are evaluated by analyzing query execution times and scaling behavior across different query types and graph sizes, in comparison with equivalent materialized graphs.
IEEE AccessCOMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
9.80
自引率
7.70%
发文量
6673
审稿时长
6 weeks
期刊介绍:
IEEE Access® is a multidisciplinary, open access (OA), applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE''s fields of interest.
IEEE Access will publish articles that are of high interest to readers, original, technically correct, and clearly presented. Supported by author publication charges (APC), its hallmarks are a rapid peer review and publication process with open access to all readers. Unlike IEEE''s traditional Transactions or Journals, reviews are "binary", in that reviewers will either Accept or Reject an article in the form it is submitted in order to achieve rapid turnaround. Especially encouraged are submissions on:
Multidisciplinary topics, or applications-oriented articles and negative results that do not fit within the scope of IEEE''s traditional journals.
Practical articles discussing new experiments or measurement techniques, interesting solutions to engineering.
Development of new or improved fabrication or manufacturing techniques.
Reviews or survey articles of new or evolving fields oriented to assist others in understanding the new area.