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Smart home development has many methods that cause the rise of various smart home systems which has its own uniqueness on every system. Nevertheless, those systems could not accommodate their communication and information sharing. It causes the difficulties of collaboration on a system to another, and it makes hard to implement an existing models on a new system. One of solution to answer this problem...
In modern military operations the emphasis is on smaller teams and more ad hoc teamwork. This requires greater agility both in terms of capturing actionable intelligence as well as appropriate dissemination and fusion of that information to coalition team members based on their tasks and need to know. In previous research and development we have explored the potential for a controlled natural language...
In public and local administration contexts, the organizational structures depend on bureaucratic aspects. This often implies that people are engaged in offices and their allocation come from emergencies and political factors instead of rational motivations related to knowledge, competences and profiles. In most cases, such situations become gangrenous and generate dissatisfaction and low productivity...
In this paper, we propose designing a specific ontology for representing relevant aspects of affective phenomena in e-learning. The ontology is aimed to include the different types of emotions, moods and behaviors that students experience in the e-learning environments, the different types of feedback that teachers can provide to their students and the different effects in students' behavior during...
Efficient and precise medical information identification from Electronic Health Records (EHRs) is an important subject for both the knowledge extraction and medical communities. This paper presents an approach for medical concept identification and categorization which applies a series of Natural Language Processing methods on unstructured EHRs, queries the SNOMED-CT medical ontology and applies three...
Conceptualizing the organizational structure domain requires considering multiple levels of classification, with both types and types of types included in the domain of enquiry (e.g., Types of organizational units and particular organizational units). In this paper we propose a semantic foundation for the organizational structure domain that is capable to address the multi-level modeling issues. We...
In the context of large engineering projects the effective and efficient exchange and versioning of information from different engineering disciplines is essential. Semantic data integration approaches provide the necessary means to overcome the gap between heterogeneous local engineering tool concepts and common project-level concepts which enable the mapping of engineering data coming from different...
Service Oriented Computing provides us with an opportunity to build distributed applications by invoking and selecting suitable services. In this paper we attempt to select context aware service and apply this to medical emergency scenario. This paper proposes an approach to select web services based on user context. Experimental results demonstrate that proposed method provides reliable solution...
Reuse requires high-level representation models. Ontology is commonly defined as a formal specification of knowledge conceptualization in a consensual form. OWL (Web Ontology Language) is the most used and expressive ontology description language that supports handling and reasoning. However, it lacks expressivity for some specific requirements. We propose, in this paper, to augment OWL with a new...
With the increasing availability of medical sensors and Internet of Things (IoT) devices for personal use, it becomes feasible to maintain a repository of measurements for personal health conditions. Consequently, it is tempting to analyze in-progress diseases and to identify the development of potential diseases with the measurement repository. However, there are a number of technical challenges...
In this paper, a novel user interest expansion approach for generating recommendations is proposed. The approach utilizes interest of user as well as semantic relatedness between the items along with context to generate recommendations. Ontologies are used to represent domain knowledge. Spreading activation technique uses the relatedness between concepts of user interest in domain ontology to expand...
Process mining algorithms use event logs to learn and reason about processes by technically coupling event history data and process models. During the execution of a learning process, several events occur which are of interest and/or necessary for completing and achieving a learning goal. The work in this paper describes a Semantic Process Mining approach directed towards automated learning. The proposed...
Big Data Era brings two main dimensions, which are heterogeneity and contextual data. The heterogeneity may occur at syntax and semantic levels. Ontologies are largely used to reduce these heterogeneities. Data has limited value if not paired with its context. Usually the internal data of companies are not connected to the rest of data universe including news, weather, user profiles, etc. In Engineering...
In this work, we propose an algorithm, called E-Learning Ontology Enrichment (ELOE), to derive a global representation from the personal ontologies of different agents present in an e-Learning MAS. Using ELOE, each agent of a MAS-based e-Learning system can autonomously enrich its own ontology by using semantic negotiation and, at the same time, it can access to the global ontology to have a view...
Adaptive Hypermedia Environments are a suitable means for developing personalized educational content that can respond to the needs of heterogeneous cohorts. These resources are increasingly built upon the Semantic Web, powered by the development and deployment of ontologies. After experimenting the automatic creation of domain ontologies from educational reference books and their use within semantic...
MOOCs (Massive Open Online Courses), a new form of learning, are characterized by a large scale of subscription. Thus, appropriate assessment strategies should be implemented to support massive data flows. In this paper, we are interested in studying the Peer Assessment in MOOCs based on Inquiry Based Learning (IBL), iMOOCs. Our contribution is a continuation of our previous research work. In fact,...
Health promotion related products and services have grown rapidly in recent years, many devices and services were developed for this endeavor. Consequently, there is a need to represent fragmented functions into a general description and comparable shape in order to provide context-based matching and ranking, which is a substance of the whole services. A service discovery was introduced as a mechanism...
In the late 80s, Ackoff first proposed a cognitive category upon the content of human mind, which included Data, Information, Knowledge and Wisdom, or DIKW. Since then, the DIKW hierarchy has attracted a flurry of further research studies. Its applications include ontology composition, decision making theory, domain specific engineering theory, software design thought process automation, etc., to...
This paper presents the development of a formative assessment ontology, called Onto Note F, that enables teachers to add a formal semantics to formative feedback annotations they put on students' lab reports in Lab Book system. It is linked to a learning domain ontology enabling teachers to give formative feedbacks to students on expected lab work tasks. Onto Note F is developed following a rigorous...
With the increasing adoption of Cloud Computing, Business Process as a Service (BPaaS) has recently emerged as the delivery of business process outsourcing services that are sourced from the cloud and constructed for multitenancy. BPaaS providers may look for available business processes from other cloud providers to improve their processes. However, today's BPaaS solutions lack an explicit and formal...
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