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In e-marketplace, semantic document exchange is a methodology of providing exchangeable semantic documents, which ensures document writer, writer's computer, reader's computer and document reader to share a same understanding in meaning on any exchanged document, that is, a semantic document is exchangeable across any heterogeneous contexts. Existing methodologies for semantic document exchange, in...
The advent of massive open online courses (MOOC) poses challenges for teaching and learning programming. This paper has analyzed these challenges and thereby proposed a self-motivating learning platform for students in the introductory programming course. Novel mechanisms of online assignments and examination have been introduced. Our platform provides functions for self-motivating learning and practicing...
The paper discusses the possibility of generation of a set of reusable educational components by means of paradigms of knowledge representation and management, based on contemporary concepts and tools in educational and informational technologies. Definitions of knowledge models such as ontology and characteristics of conception; model of knowledge specification and knowledge expressions by means...
The understanding and transfer of mathematical expressions in a programming language is essential for studying engineering. Our experience of recent years shows that students increasingly struggle in reading, understanding and eventually transferring mathematical expressions to a programming expression so we need to provide many relevant tasks to help students overcoming this challenge. From educational...
The enormous amounts of data that are continuously recorded in electronic health record systems offer ample opportunities for data science applications to improve healthcare. There are, however, challenges involved in using such data for machine learning, such as high dimensionality and sparsity, as well as an inherent heterogeneity that does not allow the distinct types of clinical data to be treated...
This paper presents a text retrieval method based on vector space feature conversion. Even though knowledge-based semantic fingerprint information and semantic information obtained by the Tag-LDA topic model are two different representations of semantic features of the same text, they are incompatible with semantic information. Here we introduce the vector space as a bridge to transfer knowledge-based...
Chinese characters are the basic elements of Chinese culture. It is also the important basis of the Chinese foreign communication and exchange. Only simply considers the glyph and pronunciation of modern Chinese character as the communication object cannot fully display the extensive and profound Chinese culture. It needs to consider the evolution of the characters, such as Oracle Bone Inscriptions...
Artificial Intelligence has the potential to change the world. The application of A.I. to robotics, control systems, text recognition, voice recognition, and autonomous vehicles will prove both revolutionary and useful. However, humans and machines process information in fundamentally different ways, and if those differences are not appreciated and exploited, a great deal of time and money will be...
We introduce our vision of a system — based on our current Common Sense research and on developments at the University of Debrecen — to create an intelligent scientific knowledge repository that is capable of learning on its own. Since the necessary technology appears to be available, we hope to realize the system in the near future.
Making a construal is a way of using the computer to help us in making sense of a situation. Its merits as a new digital skill for developing open educational resources in the constructionist tradition are illustrated using a basic construal of shopping activity. Making construals is the central theme of the three year EU Erasmus+ CONSTRUIT! project. This paper takes the form of an introductory tutorial...
The paper addresses the phenomenon of direct object defaults in text as part of exploring the meaning of the unsaid and making it accessible for computer understanding. It describes a large but reasonably simple computer experiment on the basis of one hypothesis about defaults, namely, that a true default may appear as a direct object only if modified, e.g., Bob ate fresh food but? Bob ate food. The...
Knowledge service such as the subject cognitive mapping plays an important role in effective online subject learning, skill training and subject resource recommendation. However, the challenges of the subject cognitive mapping on the automatic construction of the subject cognitive mapping and the maintenance of its objectivity seriously restrict its popularity. Accordingly, this paper proposes an...
Cyber security is one of the most serious economic and national challenges faced by nations all over the world. When a cyber security incident occurs, the critical question that security administrators are concerned about is: What has happened? Cyber situation assessment is critical to making correct and timely defense decisions by the analysts. STIX ontology, which was developed by taking advantage...
As a means to share knowledge, the community question answering (CQA) service provides users a chance to obtain or provide help by raising or answering questions. After a question is posted, the system must find an appropriate individual to answer this question. Several approaches have recently been proposed to find experts in CQA. In this paper, a new method to find experts in CQA is proposed by...
There are about 3 billion indexed websites present in the WWW. Not all websites do not belong to a particular topic are indexed by a search engine say google.com, there are online platforms available where different users help the person asking for a (Universal Resource Locator) URL containing a topical information. To verify the authenticity and validity of the URL, an empirical methodology and its...
The motivation behind this work is to explore and pursue benefits of Cognitive Informative and Artificial Intelligence. Computer based Image Analysis and Machine Vision are based on Image Processing Algorithms. Choosing the best concept to comprehend a meaning in natural language generation is one of the tough tasks. A vision system while navigating in an environment should be able to recognize what...
The inability of the present search engines to map the retrieved result set using semantics of the query keywords has been discussed. The present study suggests a framework to improve the mapping of Concept and Context of the query keywords and thereby remove noise from the query. This ensures more relevant and satisfactory retrieval of the results. The framework has been designed for the scenario:...
Patent search is a complex process involving ample time and manpower. The search process is filled with complexity and results are often ambiguous. This research has worked on patent abstract and has found similar patents with the help of expanding query key words. Word Net is used as an external medium for query expansion. Wu-Palmer similarity model is applied in retrieving the output from the database...
In this paper we propose a method for producing a citation summary of research articles that concentrates on the context of articles which cite the given article. Parameters for citation summary are selected in such a way that, this citation summary can be used to evaluate a qualitative citation index for the research articles. Considering some factors such as, semantic similarity between the citing...
Vocabulary is the most basic unit of language, and vocabulary cognitive is the most basic form of human linguistic cognitive. In this paper, we have a vocabulary recognition study of Chinese-English - Mongolian on visual information with the brain electrical technology. By comparing the ERP signal of English - Mongolian and English - Chinese vocabulary consistent or inconsistent respectively, found...
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