Data Mashup with Get & Transform

2016 ◽  
pp. 371-410
Author(s):  
Adam Aspin
Keyword(s):  
Data Mashup

Multi-Configuration Styles of Structured Data Mashup using SDXMapping

2018 ◽  
Vol 6 (10) ◽  
pp. 396-404
Author(s):  
Prakash Narayan Hardaha ◽  
Shailendra Singh
Keyword(s):  
Structured Data ◽  
Data Mashup

Implementation of Prototype Mobile Application Operated on Smartphones for Micromedia Service

2014 ◽  
Vol 9 (2) ◽  
pp. 139-148 ◽  
Author(s):  
Munenari Inoguchi ◽  
◽  
Keiko Tamura ◽  
Satomi Sudo ◽  
Haruo Hayashi ◽  
...  
Keyword(s):  
Spatial Data ◽  
Mobile Application ◽  
Personal Information ◽  
Tohoku Earthquake ◽  
Information Provision ◽  
Appropriate Behavior ◽  
Supporting Tool ◽  
Express Information ◽  
Information Treatment ◽  
Data Mashup

Many people were injured or otherwise suffered during evacuation or on their way home in the Greater Tokyo Area during the 2011 East Japan (Tohoku) Earthquake. One lesson from this disaster was that they had to decide what was best based on their individual attribute. However, we have no supporting tool for them to decide their appropriate behavior, so we designed and developed an information provision system, based on a micromedia concept, that features (i) using logs of their location logs, and (ii) introducing spatial data mashup method to abstract information based on individual user needs. We then implemented our prototype application and got reviews from 64 users. As the result of evaluation to our system from 64 users, most of them accepted the concept of micromedia, but pointed out issues about spatial layers management, personal information treatment and how to express information.

Mashroom+: An Interactive Data Mashup Approach with Uncertainty Handling

2013 ◽  
Vol 12 (2) ◽  
pp. 221-244 ◽  
Author(s):  
Chen Liu ◽  
Jianwu Wang ◽  
Yanbo Han
Keyword(s):  
Uncertainty Handling ◽  
Interactive Data ◽  
Data Mashup

scholarly journals MediBot: An Ontology-Based Chatbot to Retrieve Drug Information and Compare its Prices

2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Caio Viktor S. Avila ◽  
Wellington Franco ◽  
Amanda D. P. Venceslau ◽  
Tulio Vidal Rolim ◽  
Vania M. P. Vidal ◽  
...  
Keyword(s):  
System Architecture ◽  
Linked Data ◽  
Drug Information ◽  
Access Point ◽  
Quick Response ◽  
Construction Process ◽  
Modes Of Operation ◽  
Price Comparison ◽  
Data Mashup ◽  
The Web

In this article, we present the MediBot. MediBot is a chatbot for querying drugs information. The presented system acted as a single access point for natural and simplified information retrieval of drugs, prices, and its risks. The chatbot has two modes of operation: Quick Response and Interactive modes. The first answers questions asked in natural language, while the second has three interactive tasks, namely Browser, Query, and Price Comparison. We present here the system architecture, the Linked Data Mashup’s construction process, and Chatbot MediBot’s activities modes, focusing on the new Price Comparison’s task. This task presents the best prices for medicines and their best potential substitutes extracted in real-time from the Web with the help of the information obtained from a linked data mashup.

scholarly journals Structured Data REST Protocol for End to End Data Mashup

2018 ◽  
Vol 10 (10) ◽  
pp. 98
Author(s):  
Prakash Hardaha ◽  
Shailendra Singh
Keyword(s):  
Service Provider ◽  
Structured Data ◽  
End User ◽  
Current State ◽  
Novel Approach ◽  
User Data ◽  
Hybrid Data ◽  
End To End ◽  
User Friendly ◽  
Data Mashup

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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