Assisting User Browsing over Linked Data: Requirements Elicitation with a User Study

It is becoming increasingly popular to expose government and citywide sensor data as linked data. Linked data appears to offer a great potential for exploratory search in supporting smart city goals of helping users to learn and make sense of complex and heterogeneous data. However, there are no systematic user studies to provide an insight of how browsing through linked data can support exploratory search. This paper presents a user study that draws on methodological and empirical underpinning from relevant exploratory search studies. The authors have developed a linked data browser that provides an interface for user browsing through several datasets linked via domain ontologies. In a systematic study that is qualitative and exploratory in nature, they have been able to get an insight on central issues related to exploratory search and browsing through linked data. The study identifies obstacles and challenges related to exploratory search using linked data and draws heuristics for future improvements. The authors also report main problems experienced by users while conducting exploratory search tasks, based on which requirements for algorithmic support to address the observed issues are elicited. The approach and lessons learnt can facilitate future work in browsing of linked data, and points at further issues that have to be addressed.

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Data Requirements Elicitation in Big Data Warehousing

Information Systems - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-11395-7_10 ◽

2019 ◽

pp. 106-113 ◽

Cited By ~ 5

Author(s):

António A. C. Vieira ◽

Luís Pedro ◽

Maribel Yasmina Santos ◽

João Miguel Fernandes ◽

Luís S. Dias

Keyword(s):

Big Data ◽

Data Warehousing ◽

Requirements Elicitation ◽

Data Requirements

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Allied

International Journal on Semantic Web and Information Systems ◽

10.4018/ijswis.2017100107 ◽

2017 ◽

Vol 13 (4) ◽

pp. 134-154 ◽

Cited By ~ 4

Author(s):

Cristhian Figueroa ◽

Iacopo Vagliano ◽

Oscar Rodriguez Rocha ◽

Marco Torchiano ◽

Catherine Faron Zucker ◽

...

Keyword(s):

Linked Data ◽

User Study ◽

Real Life ◽

Research Area ◽

Recommendation Algorithms ◽

Web Of Data ◽

And Performance ◽

Main Component ◽

Application Developers ◽

The Web

The increase in the amount of structured data published on the Web using the principles of Linked Data means that now it is more likely to find resources on the Web of Data that represent real life concepts. Discovering and recommending resources on the Web of Data related to a given resource is still an open research area. This work presents a framework to deploy and execute Linked Data based recommendation algorithms to measure their accuracy and performance in different contexts. Moreover, application developers can use this framework as the main component for recommendation in various domains. Finally, this paper describes a new recommendation algorithm that adapts its behavior dynamically based on the features of the Linked Data dataset used. The results of a user study show that the algorithm proposed in this paper has better accuracy and novelty than other state-of-the-art algorithms for Linked Data.

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Implementation of a System That Helps Novice Users Work with Linked Data

Electronics ◽

10.3390/electronics10111237 ◽

2021 ◽

Vol 10 (11) ◽

pp. 1237

Author(s):

Solgil Oh ◽

Sujin Yoo ◽

Yuri Kim ◽

Jisoo Song ◽

Seongbin Park

Keyword(s):

Semantic Web ◽

Linked Data ◽

User Study ◽

Relationship Building ◽

Basic Unit ◽

Underlying Structure ◽

Data Sets ◽

Euler Diagram ◽

Semantic Data ◽

Building System

On the Semantic Web, resources are connected to each other by the IRI. As the basic unit is comprised of linked data, machines can use semantic data and reason their relations without additional intervention on the Semantic Web. However, it is necessary for users who first encounter the Semantic Web to understand its underlying structure and some grammatical rules. This study suggests linking data sets of the Semantic Web through the Euler diagram, which does not require any prior knowledge. We performed a user study with our relationship-building system and verified that users could better understand linked data through the usage of the system. Users can indirectly be guided by using our Euler diagram-based data relationship-building system to understand the Semantic Web and its data linkage system. We also expect that the data sets defined through our system can be used in various applications.

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Session 3: availability of health data; requirements and solutions

International Journal of Medical Informatics ◽

10.1016/s1386-5056(98)00030-6 ◽

1998 ◽

Vol 49 (1) ◽

pp. S25-S28

Author(s):

A Author

Keyword(s):

Health Data ◽

Data Requirements

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Postmarketing Surveillance Based on Electronic Patient Records: The IPCI Project

Methods of Information in Medicine ◽

10.1055/s-0038-1634402 ◽

1999 ◽

Vol 38 (04/05) ◽

pp. 339-344 ◽

Cited By ~ 88

Author(s):

J. van der Lei ◽

B. M. Th. Mosseveld ◽

M. A. M. van Wijk ◽

P. D. van der Linden ◽

M. C. J. M. Sturkenboom ◽

...

Keyword(s):

General Practitioner ◽

General Practitioners ◽

Validation Studies ◽

Resource Planning ◽

Routine Practice ◽

Patient Records ◽

Postmarketing Surveillance ◽

Electronic Patient Records ◽

Use Of Data ◽

Data Requirements

AbstractResearchers claim that data in electronic patient records can be used for a variety of purposes including individual patient care, management, and resource planning for scientific research. Our objective in the project Integrated Primary Care Information (IPCI) was to assess whether the electronic patient records of Dutch general practitioners contain sufficient data to perform studies in the area of postmarketing surveillance studies. We determined the data requirements for postmarketing surveil-lance studies, implemented additional software in the electronic patient records of the general practitioner, developed an organization to monitor the use of data, and performed validation studies to test the quality of the data. Analysis of the data requirements showed that additional software had to be installed to collect data that is not recorded in routine practice. To avoid having to obtain informed consent from each enrolled patient, we developed IPCI as a semianonymous system: both patients and participating general practitioners are anonymous for the researchers. Under specific circumstances, the researcher can contact indirectly (through a trusted third party) the physician that made the data available. Only the treating general practitioner is able to decode the identity of his patients. A Board of Supervisors predominantly consisting of participating general practitioners monitors the use of data. Validation studies show the data can be used for postmarketing surveillance. With additional software to collect data not normally recorded in routine practice, data from electronic patient record of general practitioners can be used for postmarketing surveillance.

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