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This paper presents a system architecture that designs a querying refinement method. The method employs the general principles of facet analysis in a particular paradigm, as well as the notion of ‘focus’, which is a sort of context for a user query. The method provides the user with contextual information about the query, which is computed by using the user documents provided that the documents are...
Three forms of contextual search have been proposed in the literature. The first one is to scan the full text of a query to figure out user needs and based on that scan, HTML pages for content will return an index of the relevant content. In this case, the user has no control over the context of the query. The second form of contextual search is used by meta-search engines and requires the user to...
Embedded devices based on emerging technologies of the Internet of Things (IoT) are used to provide resources, business models and opportunities to build potential industrial systems improving manufacturing systems with efficient operations. In this context, IoT networks are dynamic environments and changes are also being increasingly frequent, modifying the environment execution. Nevertheless, severe...
Support of workplace learning is increasingly important as change in every form determines today's working world in industry and public administrations alike. Adapt quickly to a new job, a new task or a new team is a major challenge that must be dealt with ever faster. Workplace learning differs significantly from school learning as it should be strictly aligned to business goals. In our approach...
Intelligent personalization systems are becoming increasingly reliant on contextually-relevant devices and services, such as those available within modern IoT deployments. An IoT context may emerge---or become pervasive---when the intelligent system generates knowledge from dialogue-based interactions with the end-user; the context is strengthened even further by incorporating state representations...
We propose a framework to preserve confidential information in a crowdsourced software development. The software industry is moving towards gig economy where majority of workforce is freelancers. The freelancers may have varying level of trust. Hence, protection of confidential information is becoming an increasingly important subject. In this paper, we discuss various challenges in protecting sensitive...
The management of provenance information plays a key role in the scientific experimentation domain, since scientists often need to examine and audit the results obtained from experiments. In addition, provenance data are essential to ensure reproducibility and reuse of experiments or artifacts produced by them. In this way, the objective of this work is to present an ontology to support the researchers...
Hiking a relevant web service in the current environment full of various options is similar to looking for a needle in a haystack. The best possible web service is the one that completely fulfills the required functions while satisfying the QoS requested by a user. In this paper, we introduce a new context-based solution based on QoS (Quality of Service) exploiting both functional and non-functional...
Nowadays, more and more people possess mobile devices (laptops, tablets, smart-phones, etc), capable of creating and sharing documents (which generally are multimedia oriented) via internet anytime and anywhere (home, office, hospital, etc). People should have full control on how they receive a multimedia content, depending on their current condition: when in a meeting, displaying a text instead of...
This paper presents a practical study of the Persian ontology matching. Ontology matching has a key role to develop the semantic web. Although many attempts are done to develop Persian ontologies, but the Persian ontology matching problem is still unresolved. This paper addresses the challenges of the Persian ontology matching. One of the most important prerequisites of design and develop efficient...
With the giddy growth of the amount of the information data through constant interaction and sharing in daily life, the mobile Internet has shifted from the lack of information to information overload. How to satisfy readers' individual needs from the disorder and mixture data has become an urgent problem to be solved. This paper combines the context information into the recommended process, and constructs...
Big data analytics is the hottest new technology which helps turn hidden insights in big data into business value to support a better decision-making. However, current big data analytics has many challenges to do it since there is a big gap between big data analytics and business. This is mainly because lack of business context around the data, lack of expertise to connect the dots, and implicit business...
An Architectural framework for defining Inter-Satellite Communication system architectures based on Model-Based Systems Engineering concepts will facilitate the development of reliable and consistent system models that can be simulated, verified and validated. However, such a framework does not exist, thereby limiting our ability to define comprehensive and effective inter-satellite communication...
Current information systems provide transparent access to multiple, distributed, autonomous and potentially redundant data sources based on a mediation architecture. Their users may not know the sources they questioned, nor their description and content. Consequently, their queries reflect no more a need that must be satisfied but an intention that must be refined based on data sources available at...
The paper proposes a knowledge-based framework for mobile autonomous robots. It exploits data annotation for semantic-based context description. High-level event/situation detection and action decision are performed through a semantic matchmaking approach, supporting approximate matches and relevance-based ranking. The framework was fully implemented in a prototype built with off-the-shelf components,...
Research Motivation Conceptual Models are developed on the basis of established theories and tested by quantitative business management research to explore behavioral and social constructs and their relationships. These identified constructs in quantitative research have not been captured through knowledge management tools such as ontological representations defined in computer science, which is often...
One of the aspects brought by the use of connected mobile devices in education is the possibility of learning in different environments, using physical environmental factors in its advantage. These factors are part of what we define as “mobile context”, which is comprised by different information dimensions: temporal, physical, and social. This information can be modelled as an ontology and used in...
In recent years, Intelligent Assistant services have come out to respond to user requests or to perform certain functions. These services get the request input from users with natural ways such as voice or text. However, the biggest hurdle of this approach is that it is very difficult for users to know the scope of the service (feature or knowledge) and therefore it is difficult to deliver the right...
IMS (IP Multimedia Subsystem) is confronted to various evolutions. The purpose of these evolutions is focused on enhancing subscriber experience by offering a variety of services that meets his needs and requirements. To respond to this problematic, we must consider subscriber profile information in service discovery process. IMS presents a significant mass of information of subscribers' profiles...
As elderly care is getting more and more important, monitoring of activity of daily living (ADL) has become an active research topic. Both robotic and pervasive computing domains, through smart homes, are creating opportunities to move forward in ADL field. Multiple techniques were proposed to identify activities, each with their features, advantages and limits. However, it is a very challenging issue...
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