Automatic Web API Composition for Semantic Data Mashups

Lee, Yong-Ju; Kim, Jae-Soo

doi:10.1109/cicn.2012.56

Cited by 15 publications

(8 citation statements)

References 7 publications

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“…Wu et al [1] [17] proposed a clustering approach utilizing both semantics mined from WSDL documents and tags to improve service search. Lee et al [2] showed how to syntactically define and semantically describe the characteristics of APIs and how to use these descriptions to easily search and composite APIs. Chan et al [18] proposed a practical approach to help users find usages of APIs given only simple text phrases, starting with a greedy subgraph search algorithm which returned a connected subgraph containing nodes with high semantic similarity to the query phrases.…”

Section: Related Workmentioning

confidence: 99%

SMS: A Framework for Service Discovery by Incorporating Social Media Information

Liang

Chen

et al. 2019

IEEE Trans. Serv. Comput.

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With the explosive growth of services, including Web services, cloud services, APIs and mashups, discovering the appropriate services for consumers is becoming an imperative issue. The traditional service discovery approaches mainly face two challenges: 1) the single source of description documents limits the effectiveness of discovery due to the insufficiency of semantic information; 2) more factors should be considered with the generally increasing functional and nonfunctional requirements of consumers. In this paper, we propose a novel framework, called SMS, for effectively discovering the appropriate services by incorporating social media information. Specifically, we present different methods to measure four social factors (semantic similarity, popularity, activity, decay factor) collected from Twitter. Latent Semantic Indexing (LSI) model is applied to mine semantic information of services from meta-data of Twitter Lists that contains them. In addition, we assume the target query-service matching function as a linear combination of multiple social factors and design a weight learning algorithm to learn an optimal combination of the measured social factors. Comprehensive experiments based on a real-world dataset crawled from Twitter demonstrate the effectiveness of the proposed framework SMS, through some compared approaches.

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Section: Related Workmentioning

confidence: 99%

SMS: A Framework for Service Discovery by Incorporating Social Media Information

Liang

Chen

et al. 2019

IEEE Trans. Serv. Comput.

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“…A mobile-application prototype [Boulakbech, Messai, Sam et al (2016)] is implemented adopted mashups Web services to provide customized touristic plans. In Lee [Lee (2015)], authors focus on web services mashup to develop novel algorithms for the automatic discovery and composition of Web APIs. It should be noted that above-mentioned studies did not provide a complete, flexible, and versatile mashup architecture to facilitate software development.…”

Section: Related Workmentioning

confidence: 99%

XML-Based Information Fusion Architecture based on Cloud Computing Ecosystem

Hsu¹

2019

Computers, Materials &Amp; Continua

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Considering cloud computing from an organizational and end user computing point of view, it is a new paradigm for deploying, managing and offering services through a shared infrastructure. Current development of cloud computing applications, however, are the lack of a uniformly approach to cope with the heterogeneous information fusion. This leads cloud computing to inefficient development and a low potential reuse. This study addresses these issues to propose a novel Web 2.0 Mashups as a Service, called WMaaS, which is a fundamental cloud service model. The WMaaS is developed based on a XML-based Mashups Architecture (XMA) that is composed of Web 2.0 Mashups technologies, including Web Data, Web API, Web Interaction, and Web Presentation to associate with existing service models. To demonstrate the feasibility of this approach, this study implemented a Ubiquitous Location-based Service System (ULSS) that is a cloud computing application developed based on WMaaS to provide continuous and location-based schedule information for organization monitoring and end user needs.

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“…Another problem with web data extraction is to extract data of deep web pages because a deep page is generated when some inputs are given through some web form. Reference [19] present discovery algorithms which can generate optimal plans by applying strategies and can play a critical role in conducting further API composition which follows a graph-based approach. Reference [20] presented the Linked Web APIs dataset which supports API consumers and API Provider in the process of discovery, selection and use of Web APIs.…”

Section: Related Work and Challengesmentioning

confidence: 99%

Structured Data REST Protocol for End to End Data Mashup

Hardaha

Singh

2018

Future Internet

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Due to the exponential growth of the data and its services, visiting multiple webs/apps by a user raises three issues—(1) consumption of extra bytes; (2) time killing process of surfing inside the webs/apps; (3) tedious task of remembering address of webs/apps with their credentials. The data mashup is a set of techniques and user-friendly approaches which not only resolves above issues but also allows ordinary user to fetch required data from multiple disparate data sources and to create the integrated view in his defined digital place. In this paper, we have proposed an extension of existing REST protocol called Structured Data REST (SDRest) protocol and user-friendly novel approach which allows even ordinary users to develop end to end data mashup, using the innovative concept of Structured Data Mashup Box (SDMB) and One Time Configuration (OTC)-Any Time Access (ATA) models. Our implementation shows that pre-mashup configuration can easily be performed by an ordinary user and an integrated user interface view of end user data mashup can be created without any technical knowledge or programming. We have also evaluated the proposed work by comparing it with some of the related works and found that the proposed work has developed user friendly configurable approach using the current state of the art techniques to involve not only the ordinary user but also the mashup service provider and the data service provider to develop public, private and hybrid data mashup.

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Automatic Web API Composition for Semantic Data Mashups

Cited by 15 publications

References 7 publications

SMS: A Framework for Service Discovery by Incorporating Social Media Information

SMS: A Framework for Service Discovery by Incorporating Social Media Information

XML-Based Information Fusion Architecture based on Cloud Computing Ecosystem

Structured Data REST Protocol for End to End Data Mashup

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