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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...
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...
Training and retraining of experts oriented to the work in the Analytical Centers requires the use of modern training technologies. It is promising to create and integrate into the Analytical Center structure an Intelligent Training System that provides dynamic experts training in a mixed (offline / online) information space, taking into account their motivation, level of education, information and...
It's necessary to realize the standardization and rationalization of the knowledge representation during the milling process of Aeronautical Structural Parts. Meanwhile, It's also important to make it convenient for sharing knowledge and improve the efficiency of processing reasoning considering the intermediate status of knowledge processing. XML language is used to carry on the parametric representation...
This paper contains analysis and extension of exploiters-based knowledge extraction methods, which allow generation of new knowledge, based on the basic ones. The main achievement of the paper is useful features of some universal exploiters proof, which allow extending set of basic classes and set of basic relations by finite set of new classes of objects and relations among them, which allow creating...
The tremendous growth rates of Internet and volume of content stored on its servers requires the creation of tools for automatic content analysis and processing. Intelligent systems for content processing aim to simplify and automate such tasks as content analysis and classification, finding keywords and building digests, distributing content according to specified criteria. This paper presents the...
With the Big data under the background of artificial intelligence --AI is increasingly popular, the core role of knowledge base system experts in the increasingly emerge, but whether the automatic driving or artificial recognition need to deal with a lot of expert knowledge data AI, and the expert knowledge not only is fuzzy, and has dynamic. This paper from a new perspective, a comprehensive interpretation...
The GrowMeUp project builds an assisted living environment based on a service robotics platform. The platform is able to learn the needs and habits of elderly persons; its functionalities evolve to help them to stay active, independent and socially involved longer. Following the recent interest in cloud-enhanced robotics, we present a general framework used to learn models by sharing and distributing...
The process of how knowledge acquisition is not easy for a student to understand without practical experience to this process. It is desirable to use an interactive tool which allows the learner to effectively apply the theory in a practical scenario in order to illustrate the process of domain modelling. Knowledge representation has played an important role in the development of Artificial Intelligence...
This paper presents a rule-based approach for generating a large phonetic database for Romanian. The knowledge base is developed by means of the GRAALAN (Grammar Abstract Language) system. By inspecting dictionaries and corpora, we generate a phonetic database over 100,000 lemmas. Our database has a high degree of accuracy ensured by our rule-based method applied for generating phonetic transcriptions.
In this work two approaches of backward chaining inference implementation were compared. The first approach uses a classical, goal driven inference running on the client device — the algorithm implemented within the KBExpertLib library was used. Inference was performed on a rule base buffered in memory structures. The second approach involves implementing inference as a stored procedure, run in the...
There are some independent cyber security knowledge bases for different aspect now. In the internet, there is also much cyber security related content which exists in the form of text. Fusion of these cyber security related information can be a meaningful work. In this paper, we propose a framework to integrate existing cyber security knowledge base and extract cyber security related information from...
A wide variety of services are available over the Web which can dramatically improve the functionality of applications. These services include information retrieval (including data lookups from a variety of sources and Web searches), natural language understanding, visual recognition, and data storage. A key problem is how to provide support for applications which use these services. This paper presents...
The paper analyzes the semantics of adjectives in sentences in English language. The goal is, based on the analysis of individual sentences and the method of induction, to show the semantic relationship between the adjective and other word types by using the method Nodes of Knowledge (NOK). The NOK method is used for formal knowledge representation expressed in text, i.e. to represent the knowledge...
There are frequent fire accident in the city building, how to allocate fire resources reasonably and minimize the loss of accident need to be solved urgently. In order to solve these problems, this paper studies the intelligent decision making technology about emergency rescue, and put forward a kind of decision scheme based on case based reasoning technique.
Sentence similarity calculation plays an important role in text processing-related research. Many unsupervised techniques such as knowledge-based techniques, corpus-based techniques, string similarity based techniques, and graph alignment techniques are available to measure sentence similarity. However, none of these techniques have been experimented with Tamil. In this paper, we present the first-ever...
The problems of reconfiguration of CAD system architecture are analyzed. The concepts of adaptive architecture of Computer-Aided Design system are represented. System of basic operating units of the CAD process is offered.
Nowadays, with the massive demand for sports news, automatic generation systems based on the template technology has been deployed, which could generate massive sports news quickly and effectively. However, by using one simple template for one scenario, the pattern of text generated by such system is single. In this paper, we propose an automatic generation method based on knowledge rules to select...
Todays emergency management especially in cross-border incidents is still underlying communication and interoperability barriers. By the introduction of a Common Information Space (CIS) as a socio-technical system, concepts for bridging between involved first responder and Police Authorities becomes evident. Within this paper technical elements of the concepts are described to also demonstrate the...
In this paper, we propose new techniques for the secure storage of transport data consisting of vehicles, registrations and payments in the e-Services Web Portal of Transport Department. For this purpose, new secure and effective storage techniques are proposed in this paper in order to store the data efficiently and to retrieve them fast. The proposed techniques have been tested, using Tamil Nadu...
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