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We apply the Model-Driven Engineering for adapting User Interfaces (UI) in order to improve their accessibility into interactive system(IS). The solution that we propose has to be generic to be applicable in any context and with any type of UI. Therefore, we have developed a model driven approach based on meta-model transformations. This approach generates modality-based UI models adapted to each...
For collaborative robots to become useful, end users who are not robotics experts must be able to instruct them to perform a variety of tasks. With this goal in mind, we developed a system for end-user creation of robust task plans with a broad range of capabilities. CoSTAR: the Collaborative System for Task Automation and Recognition is our winning entry in the 2016 KUKA Innovation Award competition...
Complex adaptive systems are in the heart of smart city operations. Developing such systems is very challenging. Current user-driven techniques for modeling the system domain are not sufficient for supporting the development of such systems. Additionally, in the majority of cases, existing work focused on user interface adaptation without considering content personalization. In this paper, we propose...
The forthcoming Dataset Usage Vocabulary (DUV) standard under development by the W3C Data on the Web Best Practices Working Group can be used to describe and share dataset usage information on the Web, thus facilitating better communication between data publishers and consumers. Despite the significant progress in the standardization, there is a lack of systematic research on approaches and tools...
Although many open data portals have been publishing numerous datasets on the Web, there is currently no clear standard way to describe dataset usage on the Web, which is not conducive to the healthy development of the open data ecosystem. The W3C Data on the Web Best Practices Working Group is therefore standardizing the Dataset Usage Vocabulary (DUV) for modeling, conveying and sharing dataset usage...
This paper presents an ontology-based approach to the interface adaptation for people with special needs on the basis of user model and rule-based reasoning mechanism over ontology. The meta-ontology for adapting interfaces for people with disabilities was developed to integrate and manage the domain ontologies (user domain ontology, user disability domain ontology, application interface domain ontology,...
GIS information is important for e-Health surveillance because such information is required for monitoring, exchanging and shared across health GIS systems. However, interacting with the health GIS system is difficult for the users who may have less knowledge about GIS systems. This paper proposes a semantic query builder that provides a query service and can interact with health GIS systems. The...
This paper focuses on a generalized approach to providing user interface to a web-based expert system (WBES). We examine MVC and MVP design patterns used traditionally to construct a web application user interface. In order to leverage the strength of the MVC/MVP design patterns we propose a special ontology representing a user communication domain. We describe a self-service networked infrastructure...
Egoki is an automatic generator of accessible user interfaces designed to allow people with disabilities to access supportive ubiquitous services. Egoki follows a model-based approach and selects suitable interaction resources and modalities depending on users’ capabilities. A proof-of-concept prototype evaluation was conducted with accessibility experts and participants in two different scenarios:...
This paper presents a formal model to check the interaction plasticity on a user interface (UI). An interaction is seen as an implementation (achievement) of a user task by means of interaction devices and modes of a given platform. The interaction plasticity is the ability of UI to support several interactions to perform the same task. In this work, two task models, containing different sets of interactions,...
This paper models the problem of generating healthy menu recommendations for older adults as an optimization problem and proposes a hybrid Honey Bees Mating Optimization method for solving this problem. The method hybridizes the state of the art Honey Bees Mating Optimization meta-heuristic by injecting strategies inspired from Genetic Algorithms, Hill Climbing, Simulated Annealing, and Tabu Search...
Most EO image analysis algorithms ignore existing maps for solving ill-posed scene understanding problems and developing inversion procedures, yet new EO data often represent aspects of known objects and events. To solve part of this problem, we introduce a prototype designed to integrate, process and distribute existing heterogeneous local public authority maps with the outputs of automatic reconstruction/interpretation...
The amount of linked open data is growing fast. Yet, it is difficult for the end users to access the semantic data without having the in depth knowledge of the SPARQL language. The modern semantic search engines tackled the problem with standard user interfaces. However, these interfaces are not very usable for people with no understanding of semantic technologies. It is challenging for the semantic...
The main idea of this paper is to use an extension of algebraic semiotics - a technique that provides systematic ways to evaluate the quality of representations - that can handle dynamic systems, to formally specify systems of moving pictures, and compare their semantic annotated models. Some first steps towards this direction are presented, through a simple but illustrative example.
Incorporating digital tools in the business and scientific research workflows is at the moment an on-going process, challenging and demanding as every domain has its own needs in terms of data models and information retrieval methods. The information in some domains involves entity evolution, a characteristic that introduces additional tasks, such as finding all evolution stages of an entity, and...
Natural Language Interfaces to Database is a type of database interface that allows the user to access the data using natural language. Recent development used as the base of mis paper was made by Wibisono in 2013. Wibisono developed a domain-independent NLIDB using Stanford Dependency Parser as a tool in processing user input. This paper presents a solution to two of Wibisono's NLIDB problems, which...
Service providers and manufacturers released their services and functions by open APIs in the Internet of Things (IoT) service environment. And, user wants to create their own IoT service that satisfies the diverse goals in their daily lives. But IoT service creation is difficult to a non-technical user, because the existing service creation environment is required programmable ability and analytical...
To flexibly adapt business processes to changing requirements and new opportunities, it is often necessary to allow ad-hoc deviations from pre-defined process models. Agent systems can provide the autonomous behaviour needed for engaging in new interactions that were not included in the initial process model. However, the issue arises how these ad-hoc interactions can be captured for purposes of governance...
In order to ensure accessibility of user interface, it is highly recommended to elaborate a generic solution which is compliant to disable user requirements and best accommodates their particular needs. Therefore, we propose, in this paper, a generic MDA-based solution of adapting application's interface to accessibility context. It consists of generating, automatically, accessible adapted User Interfaces...
The paper presents a tool called JBoss ESB Sniffer, which was developed within the frame of the European project ARUM. The project is focused on optimization of the ramp-up and small lot production processes that are facing constant disturbances and error events. The proposed solution applies the Enterprise Service Bus (ESB) technology for integration of heterogeneous tools and legacy systems. In...
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