The LRA Workbench: an IDE for efficient REST API composition through linked metadata

The number of Web APIs for accessing information and services is continuously increasing, and yet, no tools exist to automate the time-consuming and error-prone process of invoking those APIs and composing their responses. The recent emergence of widely-adopted, standardized, Web-API description for...

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Vydáno v:	Journal of big data Ročník 8; číslo 1; s. 1 - 26
Hlavní autoři:	Serrano, Diego, Stroulia, Eleni
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 14.09.2021 Springer Nature B.V SpringerOpen
Témata:	Adoption of innovations Application programming interface Automation Big Data Communications Engineering Computational Science and Engineering Computer Science Data Data integration Data Mining and Knowledge Discovery Database Management Human-computer interaction Information services Information Storage and Retrieval Intelligent web services and Semantic Web Interaction models Mathematical Applications in Computer Science Metadata Networks Quality of service Queries Service-oriented architecture Services integration framework Specifications Workbenches Intelligent web services and Semantic Web Service-oriented architecture Services integration framework
ISSN:	2196-1115, 2196-1115
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Abstract	The number of Web APIs for accessing information and services is continuously increasing, and yet, no tools exist to automate the time-consuming and error-prone process of invoking those APIs and composing their responses. The recent emergence of widely-adopted, standardized, Web-API description formats and the development of Linked Data technologies for data integration have motivated our work on the LRA (Linked REST APIs) methodology [ 1 , 2 ]. LRA relies on RDF service specifications to automate the development process around the usage of Web APIs. This automation represents a great opportunity to systematize and improve the quality of service-oriented application development. However, LRA’s reliance on SPARQL as the user-interaction model may hinder its adoption, because it requires developers to learn the intricacies of the unconventional graph data model and its associated datasets. In this paper we have developed the LRA Workbench ( L R A Wbench ), which takes advantage of the emergent schema of Web-API specifications, in order to simplify the formulation of LRA-compliant SPARQL queries. Our empirical evaluation of the L R A Wbench usability demonstrates that our tool significantly improves the performance of developers formulating SPARQL queries for LRA. A subsequent study on the effectiveness of the L R A Wbench demonstrated that developers using LRA tend to produce code with considerable better structural complexity, in less time, than developers manually composing APIs.
AbstractList	The number of Web APIs for accessing information and services is continuously increasing, and yet, no tools exist to automate the time-consuming and error-prone process of invoking those APIs and composing their responses. The recent emergence of widely-adopted, standardized, Web-API description formats and the development of Linked Data technologies for data integration have motivated our work on the LRA (Linked REST APIs) methodology [ 1 , 2 ]. LRA relies on RDF service specifications to automate the development process around the usage of Web APIs. This automation represents a great opportunity to systematize and improve the quality of service-oriented application development. However, LRA’s reliance on SPARQL as the user-interaction model may hinder its adoption, because it requires developers to learn the intricacies of the unconventional graph data model and its associated datasets. In this paper we have developed the LRA Workbench ( L R A Wbench ), which takes advantage of the emergent schema of Web-API specifications, in order to simplify the formulation of LRA-compliant SPARQL queries. Our empirical evaluation of the L R A Wbench usability demonstrates that our tool significantly improves the performance of developers formulating SPARQL queries for LRA. A subsequent study on the effectiveness of the L R A Wbench demonstrated that developers using LRA tend to produce code with considerable better structural complexity, in less time, than developers manually composing APIs. Abstract The number of Web APIs for accessing information and services is continuously increasing, and yet, no tools exist to automate the time-consuming and error-prone process of invoking those APIs and composing their responses. The recent emergence of widely-adopted, standardized, Web-API description formats and the development of Linked Data technologies for data integration have motivated our work on the LRA (Linked REST APIs) methodology [1, 2]. LRA relies on RDF service specifications to automate the development process around the usage of Web APIs. This automation represents a great opportunity to systematize and improve the quality of service-oriented application development. However, LRA’s reliance on SPARQL as the user-interaction model may hinder its adoption, because it requires developers to learn the intricacies of the unconventional graph data model and its associated datasets. In this paper we have developed the LRA Workbench ( $$LRA_{Wbench}$$ L R A Wbench ), which takes advantage of the emergent schema of Web-API specifications, in order to simplify the formulation of LRA-compliant SPARQL queries. Our empirical evaluation of the $$LRA_{Wbench}$$ L R A Wbench usability demonstrates that our tool significantly improves the performance of developers formulating SPARQL queries for LRA. A subsequent study on the effectiveness of the $$LRA_{Wbench}$$ L R A Wbench demonstrated that developers using LRA tend to produce code with considerable better structural complexity, in less time, than developers manually composing APIs. The number of Web APIs for accessing information and services is continuously increasing, and yet, no tools exist to automate the time-consuming and error-prone process of invoking those APIs and composing their responses. The recent emergence of widely-adopted, standardized, Web-API description formats and the development of Linked Data technologies for data integration have motivated our work on the LRA (Linked REST APIs) methodology [1, 2]. LRA relies on RDF service specifications to automate the development process around the usage of Web APIs. This automation represents a great opportunity to systematize and improve the quality of service-oriented application development. However, LRA’s reliance on SPARQL as the user-interaction model may hinder its adoption, because it requires developers to learn the intricacies of the unconventional graph data model and its associated datasets. In this paper we have developed the LRA Workbench (LRAWbench), which takes advantage of the emergent schema of Web-API specifications, in order to simplify the formulation of LRA-compliant SPARQL queries. Our empirical evaluation of the LRAWbench usability demonstrates that our tool significantly improves the performance of developers formulating SPARQL queries for LRA. A subsequent study on the effectiveness of the LRAWbench demonstrated that developers using LRA tend to produce code with considerable better structural complexity, in less time, than developers manually composing APIs. The number of Web APIs for accessing information and services is continuously increasing, and yet, no tools exist to automate the time-consuming and error-prone process of invoking those APIs and composing their responses. The recent emergence of widely-adopted, standardized, Web-API description formats and the development of Linked Data technologies for data integration have motivated our work on the LRA (Linked REST APIs) methodology [1, 2]. LRA relies on RDF service specifications to automate the development process around the usage of Web APIs. This automation represents a great opportunity to systematize and improve the quality of service-oriented application development. However, LRA’s reliance on SPARQL as the user-interaction model may hinder its adoption, because it requires developers to learn the intricacies of the unconventional graph data model and its associated datasets. In this paper we have developed the LRA Workbench ( $$LRA_{Wbench}$$ L R A Wbench ), which takes advantage of the emergent schema of Web-API specifications, in order to simplify the formulation of LRA-compliant SPARQL queries. Our empirical evaluation of the $$LRA_{Wbench}$$ L R A Wbench usability demonstrates that our tool significantly improves the performance of developers formulating SPARQL queries for LRA. A subsequent study on the effectiveness of the $$LRA_{Wbench}$$ L R A Wbench demonstrated that developers using LRA tend to produce code with considerable better structural complexity, in less time, than developers manually composing APIs.
ArticleNumber	123
Author	Serrano, Diego Stroulia, Eleni
Author_xml	– sequence: 1 givenname: Diego orcidid: 0000-0001-6386-4533 surname: Serrano fullname: Serrano, Diego email: serranos@ualberta.ca organization: Department of Computing Science, University of Alberta – sequence: 2 givenname: Eleni surname: Stroulia fullname: Stroulia, Eleni organization: Department of Computing Science, University of Alberta
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SubjectTerms	Adoption of innovations Application programming interface Automation Big Data Communications Engineering Computational Science and Engineering Computer Science Data Data integration Data Mining and Knowledge Discovery Database Management Human-computer interaction Information services Information Storage and Retrieval Intelligent web services and Semantic Web Interaction models Mathematical Applications in Computer Science Metadata Networks Quality of service Queries Service-oriented architecture Services integration framework Specifications Workbenches
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Title	The LRA Workbench: an IDE for efficient REST API composition through linked metadata
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