scholarly journals Sampo-UI: A full stack JavaScript framework for developing semantic portal user interfaces

Semantic Web ◽  
2021 ◽  
pp. 1-16
Author(s):  
Esko Ikkala ◽  
Eero Hyvönen ◽  
Heikki Rantala ◽  
Mikko Koho
Keyword(s):  
User Interfaces ◽  
Linked Data ◽  
State Of The Art ◽  
Software Framework ◽  
End User ◽  
Faceted Search ◽  
Software Developer ◽  
Current State ◽  
Knowledge Graphs ◽  
User Friendly

This paper presents a new software framework, Sampo-UI, for developing user interfaces for semantic portals. The goal is to provide the end-user with multiple application perspectives to Linked Data knowledge graphs, and a two-step usage cycle based on faceted search combined with ready-to-use tooling for data analysis. For the software developer, the Sampo-UI framework makes it possible to create highly customizable, user-friendly, and responsive user interfaces using current state-of-the-art JavaScript libraries and data from SPARQL endpoints, while saving substantial coding effort. Sampo-UI is published on GitHub under the open MIT License and has been utilized in several internal and external projects. The framework has been used thus far in creating six published and five forth-coming portals, mostly related to the Cultural Heritage domain, that have had tens of thousands of end-users on the Web.

ARESIBO HORIZON 2020 EUROPEAN RESEARCH PROJECT – ENRICHED SITUATION AWARENESS FOR BORDER SURVEILLANCE

2021 ◽  
Vol 17 (1) ◽  
pp. 247-255
Author(s):  
Konstantinos CHARISI ◽  
Andreas TSIGOPOULOS ◽  
Spyridon KINTZIOS ◽  
Vassilis PAPATAXIARHIS
Keyword(s):  
Augmented Reality ◽  
Situation Awareness ◽  
User Interfaces ◽  
Border Security ◽  
Multiple Sources ◽  
Horizon 2020 ◽  
Research And Innovation ◽  
Current State ◽  
Available Information ◽  
User Friendly

Abstract. The paper aims to introduce the ARESIBO project to a greater but targeted audience and outline its main scope and achievements. ARESIBO stands for “Augmented Reality Enriched Situation awareness for Border security”. In the recent years, border security has become one of the highest political priorities in EU and needs the support of every Member State. ARESIBO project is developed under HORIZON 2020 EC Research and Innovation program and it is the joint effort of 20 participant entities from 11 countries. Scientific excellence and technological innovation are top priorities as ARESIBO enhances the current state-of-the-art through technological breakthroughs in Mobile Augmented Reality and Wearables, Robust and Secure Telecommunications, Robots swarming technique and Planning of Context-Aware Autonomous Missions, and Artificial Intelligence (AI), in order to implement user-friendly tools for border and coast guards. The system aims to improve the cognitive capabilities and the perception of border guards through intuitive user interfaces that will help them acquire an improved situation awareness by filtering the huge amount of available information from multiple sources. Ultimately, it will help them respond faster and more effectively when a critical situation occurs.

scholarly journals Virtual Reality Training Applications in Industry - Towards a User-friendly Application Design

2021 ◽  
pp. 59-80
Author(s):  
Benjamin Knoke ◽  
◽  
Moritz Quandt ◽  
Michael Freitag ◽  
Klaus-Dieter Thoben
Keyword(s):  
Virtual Reality ◽  
Technology Acceptance ◽  
User Interfaces ◽  
Interface Design ◽  
Design Guidelines ◽  
Electrical Safety ◽  
Industrial Training ◽  
Current State ◽  
Vr Training ◽  
User Friendly

The purpose of this research is to aggregate and discuss the validity of challenges and design guidelines regarding industrial Virtual Reality (VR) training applications. Although VR has seen significant advancements in the last 20 years, the technology still faces multiple research challenges. The challenges towards industrial VR applications are imposed by a limited technological maturity and the need to achieve industrial stakeholders' technology acceptance. Technology acceptance is closely connected with the consideration of individual user requirements for user interfaces in virtual environments. This paper analyses the current state-of-the-art in industrial VR applications and provides a structured overview of the existing challenges and applicable guidelines for user interface design, such as ISO 9241-110. The validity of the identified challenges and guidelines is discussed against an industrial training scenario on electrical safety during maintenance tasks.

Biometrics

2003 ◽  
pp. 111-132
Author(s):  
Stewart T. Fleming
Keyword(s):  
State Of The Art ◽  
Computer Systems ◽  
Interactive Systems ◽  
End User ◽  
User Perceptions ◽  
Current State ◽  
Biometric Systems ◽  
System Designs

This chapter discusses the current state of the art of biometric systems. The use of biometrics is an important new part of the design of secure computer systems. However, many users view such systems with deep suspicion and many designers do not carefully consider the characteristics of biometrics in their system designs. This chapter aims to review the current state of the art in biometrics, to conduct detailed study of the available technologies and systems and to examine end-user perceptions of such systems. A framework is discussed that aims to establish guidelines for the design of interactive systems that include biometrics.

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.

Cube Algebra

2013 ◽  
Vol 9 (2) ◽  
pp. 39-65 ◽  
Author(s):  
Cristina Ciferri ◽  
Ricardo Ciferri ◽  
Leticia Gómez ◽  
Markus Schneider ◽  
Alejandro Vaisman ◽  
...  
Keyword(s):  
Conceptual Model ◽  
User Interfaces ◽  
Query Language ◽  
Knowledge Worker ◽  
Query Languages ◽  
Data Warehouses ◽  
End User ◽  
Uml Extensions ◽  
High Level ◽  
User Friendly

The lack of an appropriate conceptual model for data warehouses and OLAP systems has led to the tendency to deploy logical models (for example, star, snowflake, and constellation schemas) for them as conceptual models. ER model extensions, UML extensions, special graphical user interfaces, and dashboards have been proposed as conceptual approaches. However, they introduce their own problems, are somehow complex and difficult to understand, and are not always user-friendly. They also require a high learning curve, and most of them address only structural design, not considering associated operations. Therefore, they are not really an improvement and, in the end, only represent a reflection of the logical model. The essential drawback of offering this system-centric view as a user concept is that knowledge workers are confronted with the full and overwhelming complexity of these systems as well as complicated and user-unfriendly query languages such as SQL OLAP and MDX. In this article, the authors propose a user-centric conceptual model for data warehouses and OLAP systems, called the Cube Algebra. It takes the cube metaphor literally and provides the knowledge worker with high-level cube objects and related concepts. A novel query language leverages well known high-level operations such as roll-up, drill-down, slice, and drill-across. As a result, the logical and physical levels are hidden from the unskilled end user.

scholarly journals A survey on the design space of end-user-oriented languages for specifying robotic missions

2021 ◽  
Author(s):  
Swaib Dragule ◽  
Thorsten Berger ◽  
Claudio Menghi ◽  
Patrizio Pelliccione
Keyword(s):  
Mobile Robots ◽  
Design Space ◽  
State Of The Art ◽  
End Users ◽  
Feature Model ◽  
End User ◽  
Domain Specific ◽  
Current State ◽  
Mission Specification ◽  
Robotic Missions

AbstractMobile robots are becoming increasingly important in society. Fulfilling complex missions in different contexts and environments, robots are promising instruments to support our everyday live. As such, the task of defining the robot’s mission is moving from professional developers and roboticists to the end-users. However, with the current state-of-the-art, defining missions is non-trivial and typically requires dedicated programming skills. Since end-users usually lack such skills, many commercial robots are nowadays equipped with environments and domain-specific languages tailored for end-users. As such, the software support for defining missions is becoming an increasingly relevant criterion when buying or choosing robots. Improving these environments and languages for specifying missions toward simplicity and flexibility is crucial. To this end, we need to improve our empirical understanding of the current state-of-the-art of such languages and their environments. In this paper, we contribute in this direction. We present a survey of 30 mission specification environments for mobile robots that come with a visual and end-user-oriented language. We explore the design space of these languages and their environments, identify their concepts, and organize them as features in a feature model. We believe that our results are valuable to practitioners and researchers designing the next generation of mission specification languages in the vibrant domain of mobile robots.

Identification and Implementation of End-User Needs During Development of a State-of-the-Art Modeling Toolset

2011 ◽  
Author(s):  
Roger Seitz ◽  
Mark Freshley ◽  
Mark Williamson ◽  
Paul Dixon ◽  
Kurt Gerdes ◽  
...  
Keyword(s):  
Environmental Management ◽  
User Interfaces ◽  
State Of The Art ◽  
Phase 1 ◽  
National Laboratory ◽  
User Involvement ◽  
End Users ◽  
Department Of Energy ◽  
User Needs ◽  
End User

The U.S. Department of Energy (US DOE) Office of Environmental Management, Technology Innovation and Development is supporting a multi-National Laboratory effort to develop the Advanced Simulation Capability for Environmental Management (ASCEM). ASCEM is an emerging state-of-the-art scientific approach and software infrastructure for understanding and predicting contaminant fate and transport in natural and engineered systems. These modular and open-source high performance computing tools and user interfaces will facilitate integrated approaches that enable standardized assessments of performance and risk for EM cleanup and closure decisions. The ASCEM team recognized that engaging end-users in the ASCEM development process would lead to enhanced development and implementation of the ASCEM toolsets in the user community. End-user involvement in ASCEM covers a broad spectrum of perspectives, including: performance assessment (PA) and risk assessment practitioners, research scientists, decision-makers, oversight personnel, and regulators engaged in the US DOE cleanup mission. End-users are primarily engaged in ASCEM via the ASCEM User Steering Committee (USC) and the ‘user needs interface’ task. Future plans also include user involvement in demonstrations of the ASCEM tools. This paper will describe the details of how end users have been engaged in the ASCEM program and will demonstrate how this involvement has strengthened both the tool development and community confidence. ASCEM tools requested by end-users specifically target modeling challenges associated with US DOE cleanup activities. The demonstration activities involve application of ASCEM tools and capabilities to representative problems at DOE sites. Selected results from the ASCEM Phase 1 demonstrations are discussed to illustrate how capabilities requested by end-users were implemented in prototype versions of the ASCEM tool.

OntoClippy

2011 ◽  
Vol 7 (1) ◽  
pp. 15-32 ◽  
Author(s):  
Nikolai Dahlem
Keyword(s):  
Real World ◽  
Comparative Evaluation ◽  
State Of The Art ◽  
Formal Logic ◽  
Basic Principles ◽  
Current State ◽  
Ontology Design ◽  
Real World Applications ◽  
Supporting Tool ◽  
User Friendly

In this article, the author describes OntoClippy, a tool-supported methodology for the user-friendly design and creation of ontologies. Existing ontology design methodologies and tools are targeted at experts and not suitable for users without a background in formal logic. Therefore, this research develops a methodology and a supporting tool to facilitate the acceptance of ontologies by a wider audience. In this article, the author positions the approach with respect to the current state of the art, formulates the basic principles of the methodology, presents its formal grounding, and describes its phases in detail. To demonstrate the viability of our approach, the author performs a comparative evaluation. The experiment is described, as well as real-world applications of the approach.

OntoClippy

2012 ◽  
pp. 15-32
Author(s):  
Nikolai Dahlem
Keyword(s):  
Real World ◽  
Comparative Evaluation ◽  
State Of The Art ◽  
Formal Logic ◽  
Basic Principles ◽  
Current State ◽  
Ontology Design ◽  
Real World Applications ◽  
Supporting Tool ◽  
User Friendly

In this article, the author describes OntoClippy, a tool-supported methodology for the user-friendly design and creation of ontologies. Existing ontology design methodologies and tools are targeted at experts and not suitable for users without a background in formal logic. Therefore, this research develops a methodology and a supporting tool to facilitate the acceptance of ontologies by a wider audience. In this article, the author positions the approach with respect to the current state of the art, formulates the basic principles of the methodology, presents its formal grounding, and describes its phases in detail. To demonstrate the viability of our approach, the author performs a comparative evaluation. The experiment is described, as well as real-world applications of the approach.

scholarly journals Approaches to measure class importance in Knowledge Graphs

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252862
Author(s):  
Daniel Fernández-Álvarez ◽  
Johannes Frey ◽  
Jose Emilio Labra Gayo ◽  
Daniel Gayo-Avello ◽  
Sebastian Hellmann
Keyword(s):  
Linked Data ◽  
State Of The Art ◽  
Data Summarization ◽  
The Core ◽  
Novel Approach ◽  
Core Elements ◽  
Importance Ranking ◽  
Knowledge Graphs ◽  
Measure Class ◽  
Excellent Tool

The amount, size, complexity, and importance of Knowledge Graphs (KGs) have increased during the last decade. Many different communities have chosen to publish their datasets using Linked Data principles, which favors the integration of this information with many other sources published using the same principles and technologies. Such a scenario requires to develop techniques of Linked Data Summarization. The concept of a class is one of the core elements used to define the ontologies which sustain most of the existing KGs. Moreover, classes are an excellent tool to refer to an abstract idea which groups many individuals (or instances) in the context of a given KG, which is handy to use when producing summaries of its content. Rankings of class importance are a powerful summarization tool that can be used both to obtain a superficial view of the content of a given KG and to prioritize many different actions over the data (data quality checking, visualization, relevance for search engines…). In this paper, we analyze existing techniques to measure class importance and propose a novel approach called ClassRank. We compare the class usage in SPARQL logs of different KGs with the importance ranking produced by the approaches evaluated. Then, we discuss the strengths and weaknesses of the evaluated techniques. Our experimentation suggests that ClassRank outperforms state-of-the-art approaches measuring class importance.

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