Automatic RESTful Web Service Identification and Information Extraction

2014 ◽  
pp. 318-327 ◽  
Author(s):  
Adam Czyszczoń ◽  
Aleksander Zgrzywa
Keyword(s):  
Information Extraction ◽  
Web Service ◽  
Service Identification ◽  
Restful Web Service

Web Service Candidate Identification Using the Firefly Algorithm

2018 ◽  
Vol 15 (4) ◽  
pp. 45-60
Author(s):  
Negar Abbasi ◽  
Ali Moeini ◽  
Taghi Javdani Gandomani
Keyword(s):  
Web Service ◽  
Firefly Algorithm ◽  
Service Oriented Architecture ◽  
High Reliability ◽  
Legacy Software ◽  
Service Identification ◽  
Service Oriented ◽  
Automatic Methods ◽  
Reservation System ◽  
Candidate Identification

Identification of web service candidates in legacy software is a crucial process in the reengineering of legacy systems to service oriented architecture. Researchers have proposed various automatic and semi-automatic methods for this purpose, some of which have proved to be quite efficient, but there are still certain gaps which need to be addressed. This article discovers the strengths and weaknesses of previous methods and develops a method with improved service candidate identification performance. In this article, service identification is considered as a search and optimization problem and a firefly algorithm is developed accordingly to give high-quality solutions in reasonably short times. A filtering method is also developed to remove excess modules (false positives) from the algorithm outputs. A case study on a legacy flight reservation system demonstrates the high reliability of the outputs given by the proposed method.

scholarly journals JSON Web Token (JWT) untuk Authentication pada Interoperabilitas Arsitektur berbasis RESTful Web Service

2019 ◽  
Vol 5 (1) ◽  
pp. 74
Author(s):  
Rohmat Gunawan ◽  
Alam Rahmatulloh
Keyword(s):  
Web Service ◽  
Blood Donors ◽  
Restful Web Service

Permasalahan donor darah merupakan masalah disetiap negara, termasuk di Indonesia. Walaupun sudah ada sistem di Palang Merah Indonesia (PMI) namun belum bisa mengatasi permasalahan pencarian maupun distribusi donor darah. Sesuai trend sekarang di jaman gadget yaitu maraknya penggunaan Android, maka untuk mengatasi masalah ini diperlukan aplikasi berbasis Android. Sementara untuk integrasi dengan sistem yang sudah ada diperlukan web service sebagai backend system sehingga layanan donor darah dapat diakses oleh berbagai platform. Arsitektur yang digunakan pada web service menggunakan REST, namun masih ada beberapa masalah pada REST yaitu mengenai keamanan pada proses otentikasi. Pada arsitektur REST diperlukan metode otentikasi yang tidak bernegara (stateless), salah satunya dapat menggunakan JSON Web Token. Hasil penelitian ini menunjukan bahwa penggunaan JSON Web Token Authentication pada Web Service and Backend System Blood Donors dapat membentuk sistem yang sangat skalabel, aman, mampu berinteraksi multi-platform serta dapat diandalkan.

Consuming a RESTful Web Service

Pro React 16 ◽  
2019 ◽  
pp. 649-677
Author(s):  
Adam Freeman
Keyword(s):  
Web Service ◽  
Restful Web Service

Restful Web Service and Web-Based Data Visualization for Environmental Monitoring

2015 ◽  
Vol 3 (1) ◽  
pp. 75-94 ◽  
Author(s):  
Sungchul Lee ◽  
Ju-Yeon Jo ◽  
Yoohwan Kim
Keyword(s):  
Web Service ◽  
Data Visualization ◽  
Water Environment ◽  
Environmental Data ◽  
Renewable Energy Resources ◽  
Service Architecture ◽  
Web Based ◽  
Research Fields ◽  
Restful Web Service ◽  
Rest Api

The Nevada Solar Energy-Water-Environment Nexus project collects a large amount of environmental data from a variety of sensors such as soil, atmosphere, biology, and ecology. Mostly, the environmental data is related to a development of renewable energy resources in the Nexus project. The environmental data can have an impact on other research fields if it can easily be shared with other researchers, students, teachers, and general users. Therefore, Nevada Climate Change Portal (NCCP) site was created for Nexus project with a purpose of sharing such data. However, there are some challenges to address in utilizing such data, collecting the data, and sharing the data among the users. In this research, the authors propose Extended Web Service Architecture for solving these challenges. The authors implement Arduino instead of CR1000 as a collector due to its cost effectiveness. The authors also use REST API to overcome the limitations of Arduino. Moreover, the authors experiment with popular Web-based data visualization tools such as Google Chart, Flex, OFC, and D3 to visualize NCCP data.

A RESTful Web Service for Non-overlapping Community Quality Assessment with MPI

2018 ◽  
pp. 280-294 ◽  
Author(s):  
Yuhong Feng ◽  
Song She ◽  
Yuanshi Wu ◽  
Mingyang Zhou ◽  
Zhong Ming ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Web Service ◽  
Overlapping Community ◽  
Restful Web Service

scholarly journals PubTator central: automated concept annotation for biomedical full text articles

2019 ◽  
Vol 47 (W1) ◽  
pp. W587-W593 ◽  
Author(s):  
Chih-Hsuan Wei ◽  
Alexis Allot ◽  
Robert Leaman ◽  
Zhiyong Lu
Keyword(s):  
Text Mining ◽  
Web Service ◽  
Full Text ◽  
Use Cases ◽  
Third Party ◽  
Document Collections ◽  
Server Side ◽  
Text Document ◽  
Restful Web Service ◽  
Disease Analysis

AbstractPubTator Central (https://www.ncbi.nlm.nih.gov/research/pubtator/) is a web service for viewing and retrieving bioconcept annotations in full text biomedical articles. PubTator Central (PTC) provides automated annotations from state-of-the-art text mining systems for genes/proteins, genetic variants, diseases, chemicals, species and cell lines, all available for immediate download. PTC annotates PubMed (29 million abstracts) and the PMC Text Mining subset (3 million full text articles). The new PTC web interface allows users to build full text document collections and visualize concept annotations in each document. Annotations are downloadable in multiple formats (XML, JSON and tab delimited) via the online interface, a RESTful web service and bulk FTP. Improved concept identification systems and a new disambiguation module based on deep learning increase annotation accuracy, and the new server-side architecture is significantly faster. PTC is synchronized with PubMed and PubMed Central, with new articles added daily. The original PubTator service has served annotated abstracts for ∼300 million requests, enabling third-party research in use cases such as biocuration support, gene prioritization, genetic disease analysis, and literature-based knowledge discovery. We demonstrate the full text results in PTC significantly increase biomedical concept coverage and anticipate this expansion will both enhance existing downstream applications and enable new use cases.

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