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We propose a novel, semantic-reasoning-based approach to look for potentially adverse drug-drug interactions (DDIs) by using a knowledge-base of biomedical public ontologies and datasets in a semantic graph representation. This approach makes it possible to find previously unknown relations between different biological entities like drugs, proteins and biological processes, and perform inferences...
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...
Psoriasis is a chronic, recurrent, inflammatory skin disease, with varied incidence rates for various populations in different regions of the world. According to statistics, the prevalence of psoriasis in European countries is about 1% ∼ 3%, and 0.47% for China in 2008, which appears on the rise year by year. [1,2] Evidence suggests that genetic and environmental factors play important roles in the...
Data interoperability is a prerequisite to achieve cross-community and cross-application sharing of information and knowledge. Heterogeneous data from multiple sources including semantic and non-semantic data sources (e.g. SNS data, web data, relational data, RDF, XML, CSV, etc.) have an important effect for IoT service provisioning. The data are not in a same type or format always that requires to...
The increasing new product variants force the manufacturing enterprise to take a short time in adjusting the automatic assembly line rapidly, but it seems a challenging task. Realizing integration of information technology and manufacturing technology is the very essence of new manufacturing schema. This paper introduces an ontology-based modeling and application method to test the feasibility of...
Active diagnosis is the retrieval and analysis of the diagnostic information at runtime. In order to enhance the system ability for detecting faults, isolating them, and deciding the most suitable recovery action during the shortest possible completion period at runtime. Thus, it is necessary to build a precise and appropriate knowledge-based model that is able to serve the diagnosis and the fixing...
Form ontology was built to complement the knowledge base of XReformer system, a system to generate web forms design automatically with case-based reasoning (CBR) approach. Case base is used to store cases of form design while the ontology is used to define forms and its elements and the relationship between them as well as between the elements itself. The ontology acts as a small-scale knowledge base...
Requirements Engineering play a crucial role during the software development process. Many works have pointed out that Non-Functional Requirements (NFRs) are currently more important than Functional Requirements. NFRs can be very complicated to understand due to its diversity and subjective nature. The NDR Framework has been proposed to fill some of the existing gaps to facilitate NFR elicitation...
Solving conflicts among quality attribute requirements during the software engineering (SE) process is a complicated task. Due to their opposing characteristics, conflicts between security and usability frequently arise. However, there is a lack of research in terms of a consensus on the semantics of quality attributes, especially for security and usability, as well as the study of elim-inating or...
The approach to the intelligent modeling system development is proposed in the paper. Such system should be used for identification, classification and definition of the parameters of motion of marine facilities. Modeling system structure, conceptual model of modeling system and intellectual methods that are used for data processing are described. The ontology model is used for modeling system data...
A promising way to improve the programming process is increasing the declarativeness of programming, approximation to natural language on the base of accumulating and actively using knowledge. The essence of the proposed approach is representing the semantics of a program in the form of a set of concepts about actions, participants, resources and relations between them, accumulation and classification...
The next generation of wireless networks is expected to provide not only higher bandwidths anywhere and at any time but also ubiquitous communication using different network types. However, several important issues including routing, self-configuration, device management, and context awareness have to be considered before this vision becomes reality. This paper proposes a novel cognitive network framework...
Scenario understanding from video stream plays an important role in many safety-critical application domains, especially if it is targeted at the autonomous aerial navigation and surveillance. Our contribution aims at enhancing the capability of unmanned aircraft systems to get a high-level description of the scene evolution from a video stream, by identifying events, thanks to the objects involved...
In this work, our goal is to communicate spatial knowledge in Japanese with autonomous robots. We first describe the data collection scheme. We then conduct a study to investigate how Japanese describe spatial relations and what relations they prefer. Based on the observations, we formalize the knowledge by ontologies. With the help of an inference mechanism, our knowledge base is able to store commonsense...
Every file, document, database and digital information is now going through the Cloud. Leveraged by the developments in information systems, Cloud Robotics is evolving at a steady pace and raised attention in the past 5 years. This recent field of Robotics is allowing engineers to envisage new and exciting applications for robots in the near future. This work proposes Cloud Robotics as a mean to integrate...
Frequent pattern discovery is a hotspot of knowledge discovery, which is based on the hybrid knowledge base that consists of ontology and rule logic. However, the mining efficiency of it is too low and unsatisfying, since the reasoning process needs large quantities of computing. Thus, we need to develop the parallel algorithm and architectures to solve this problem. In this paper, we come up with...
Aiming at the Knowledge Based System of the robots which will attend China's College Entrance Examination in a few years, we propose a fuzzy ontology for geography knowledge representation. Once a multiple-choice question is input into the system, it will be translated into ontology language and trigger the reasoning processes to acquire the answer. Different from classical ontologies, the descriptions...
The public availability of datasets of teaching resources is an issue for the design, development and evaluation of Information Retrieval and Recommender Systems in Technology Enhanced Learning. Recently, the Dataset of Joint Educational Entities (DAJEE) has provided the community with a very exhaustive collection of resources coming from Massive Open Online Courses. This work proposes a representation...
In recent years, the rapid development of geographic information system technology and the popularity of geo-location-based mobile information services have made people pay more attention to geography-related information. Thus, the information retrieval and related services based on geographic has a broad application prospects. However, the traditional search engine for the processing of geographic...
Knowledge graph technology belongs to the field of artificial intelligence. It is widely used in semantic search and intelligent question answering. Construction of Uyghur's knowledge graph has the great value of Uyghur information processing and Uyghur application software development. Firstly, this paper describes the definition and structure of the knowledge graph, then it reviews the related research...
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