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This paper presents a method to validate the insertion of a new concept in an ontology. This method is based on our previous works which add new concepts in a basic ontology using a general ontology (genaral ontology contains all the concepts of the basic ontology). To verify the semantic relevance of an ontology, we have proposed a method with three steps. First, we have found the neighborhood of...
This paper introduces a novel image error concealment technique, wherein the correlation among the correctly received pixels is implicitly exploited to recover the missing areas. This correlation is modeled as sparse representations of the correctly received surrounding areas of a lost regions, hence as a linear combination of very few atoms chosen from an over-complete dictionary. Under mild conditions,...
The number of scientific publications has increased exponentially in the last decades. To better compare these ever-increasing results and to help further replication studies, the use of open data has been suggested. But how should empirical data be described? This paper presents a meta-model for empirical findings that is conceptually linked with the formal description of causal theories. Based on...
This paper describes performance of an interpreter uncovering meanings of prepositions in "master" — preposition — "slave" constructions. The basis of the semantic interpreter is a set of "if A, than B" rules, with the left parts containing lexical and semantic markers of the "masters" and the "slaves" and morphological markers of the "slaves"...
As more and more audio-visual content such as talks, lectures and presentations is made available online, it becomes increasingly difficult for prospective viewers of such content to assess which videos they might find interesting or engaging. Automatic classification of content as engaging versus non-engaging might help viewers cope with this situation, and presenters gauge their presentation skills...
This paper aims to analyze affective expressions in articles of popular science by text mining with the keywords “Cancer” and “Immunity”. This study selects 145 articles from the website of a magazine and segmented them into 410,919 terms. And the study uses an automatic system to classify the terms into vocabulary categories, selecting the affective terms with specific vocabulary categories. The...
We consider the bi-objective simulation optimization (SO) problem on finite sets, that is, an optimization problem where for each “system,” the two objective functions are estimated as output from a Monte Carlo simulation. The solution to this bi-objective SO problem is a set of non-dominated systems, also called the Pareto set. In this context, we derive the large deviations rate function for the...
Unlike physical services, e-services lack human interaction, which calls for them to be designed in a more human-like way. From the conventional marketing perspective, the concept of brand personality is used to explain the human characteristics associated with a brand. Regrettably, existing brand personality dimensions are context-specific and are often developed using physical products and services...
This study aims to examine continuance intention and success factors of E-learning systems. The scope of research is focused on educational purpose not including corporate training program. The results shows that service innovation, information quality, and system quality was the key factors of E-learning systems. These factors can helps the learner achieve better performance which enabling the users...
This paper studied the key factors influencing consumer purchase decision on infant milk powders under the context of e-commerce. In recent years there have been several scandals exposed about Chinese milk powders, causing major concerns among consumers and scholars. Meanwhile, e-commerce is fast developing in China, this study is aimed to understand what are the key factors influencing the consumer...
Real-time accurate ball tracking in sport games is important for automated game analysis and augment reality display. It is very difficult because the ball is usually very small, with few features and large variance appearance, sudden motion change and occlusion occurs quite often as well as the background is noisy. Badminton is one of the fastest ball games in the world and so tracking a shuttlecock...
Small and medium enterprises' (SMEs) contribution to the economic growth of a country is widely acknowledged. The shift of consumer's consumption habits from offline to online demands SMEs to adopt e-business. SMEs, on the other hand, despite all the benefits that e-business could offer, have been slow to adopt it. Adding to adoption pressure is the trade liberalization around the world that necessitates...
Appropriately defining and then efficiently calculating similarities from large data sets are often essential in data mining, both for building tractable representations and for gaining understanding of data and generating processes. Here we rely on the premise that given a set of objects and their correlations, each object is characterized by its context, i.e. its correlations to the other objects,...
The ambiguity of named entity refers to one named entity with multiple entity concepts. We use the text contextual information and other external repository to cope with the ambiguity of named entity. Then we can make sure the truly allegations of a named entity. Our system can improve the performance of the online recommendation system, the ability to extract information and other practical applications...
In order to perform well, an engineer has not only to solve a task but also cope with the environment. This is very important in military operations, where underperforming might have fatal consequences. As a military academy, we have developed ten coping strategies that we use to increase students' ability to perform in military situations. These strategies have been introduced in the education, but...
We investigate metric learning in the context of dynamic time warping (DTW), the by far most popular dissimilarity measure used for the comparison and analysis of motion capture data. While metric learning enables a problem-adapted representation of data, the majority of methods has been proposed for vectorial data only. In this contribution, we extend the popular principle offered by the large margin...
This paper outlines five concept questions from Statics and Mechanics of Materials from which instructors can easily learn about student thinking when the students select incorrect answers. These questions represent vertical transfer assessment tools and show the potential of using such questions. They can be used as part of a pre-test or in some other manner such as a warm-up exercise. The questions...
The bag-of-visual-words model has been widely utilized for content based image and video retrieval due to its scalability. In this paper, we extend this model for human action video retrieval. We adopt dense trajectory features which are able to achieve the state-of-the-art performance on action recognition, while most of the existing video retrieval methods utilize descriptors of local interest points...
This paper briefly describes and evaluates XSDF, a new XML Semantic Disambiguation Framework, taking as input: an XML document and a general purpose semantic network, and then producing as output a semantically augmented XML tree made of unambiguous semantic concepts. Experiments demonstrate the effectiveness of XSDF in comparison with alternative methods.
In the last decades, education has been supported by technology in order to reach more people and produce significant benefits to teaching and learning. Part of the success of technology and education is due to the capacity technology can adapt teaching and learning to different contexts. More recently, we noticed an increase in the use of game elements (gamification) in educational environments,...
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