scholarly journals Applied Research of Knowledge in the Field of Artificial Intelligence in the Intelligent Retrieval of Teaching Resources

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
XuJing Bai ◽  
JiaJun Li
Keyword(s):  
Artificial Intelligence ◽  
Search Engine ◽  
Basic Education ◽  
Sentence Length ◽  
Teaching Staff ◽  
Search System ◽  
Teaching Resources ◽  
Intelligent Search ◽  
Search Design ◽  
Resource Service

In the development process of education informatization, digital teaching resources continue to grow, and how to manage and organize massive teaching resources has become a key issue for teaching staff. An efficient and accurate search system is an important part of the teaching resource service system. The use of intelligent search engines can search teaching resources comprehensively and efficiently, and the artificial intelligence search engine provides a reliable and convenient solution for the design and development of intelligent search systems. The article analyzes the design principles and technical standards of the intelligent search system, expounds the system’s functional architecture and database design, and introduces the realization process and principles of the search system. By analyzing the characteristics of basic education resources and existing automatic abstracting methods, this paper proposes to integrate the calculated feature word weights in the field of basic education into the algorithm for calculating the weights of abstract sentences and simultaneously examine the sentence position, sentence length, and other texts. There is an automatic summarization algorithm for surface statistics. This article also introduces the search design ideas and implementation steps based on artificial intelligence, makes a scientific evaluation and summary of the actual situation of the automatic abstract system running in the basic education resource search engine, and looks forward to the next improvement work.

GA on IR

2012 ◽  
Vol 3 (2) ◽  
pp. 1-14 ◽  
Author(s):  
Ammar Al-Dallal ◽  
Rasha S. Abdul-Wahab
Keyword(s):  
Artificial Intelligence ◽  
Genetic Algorithm ◽  
Information Retrieval ◽  
Natural Selection ◽  
Search Engine ◽  
Growth Rates ◽  
The Internet ◽  
Evaluation Function ◽  
Crossover Operator ◽  
Intelligent Search

Increasing the growth rates of websites’ number has led to the challenge of assisting Web customers in finding appropriate details from the Internet using an intelligent search engine. Information retrieval (IR) is an essential and useful strategy for Web users; thus, different strategies and techniques are designed for such purpose. Currently, the focus on the usefulness of Artificial Intelligence (AI) has been improved with IR. One AI area is Evolutionary Computation (EC), which is based on designs of natural selection. A traditional and important strategy in EC is Genetic Algorithm (GA); this paper adopts the GA technique to enhance the retrieval of HTML documents. This improvement is obtained by creating a modern evaluation function and applying a hybrid crossover operator. The proposed evaluation function is based on term proximity, keyword probability within the document, and HTML tag weight query. Experimental results are compared with two well known evaluation function functions applied in IR domain which are Okapi-BM25 and Bayesian interface network model. The results demonstrate a good level of enhancement to the recall and precision. In addition, the documents retrieved by the proposed system were more accurate and relevant to the queries than that retrieved by other models.

REALIZATION OF IDEAS OF ARTIFICIAL INTELLIGENCE FOR THE FINDING OF HIERARCHY OF MOTIVES OF TRAINING

2018 ◽  
pp. 12-19
Author(s):  
M. G. Koliada ◽  
T. I. Bugayova
Keyword(s):  
Artificial Intelligence ◽  
Hierarchical System ◽  
Productive Activity ◽  
Large Role ◽  
Educational Work ◽  
Intelligent Search ◽  
Dynamic Mechanisms ◽  
Innovative Method ◽  
Effectiveness Of Training ◽  
Probabilistic Nature

The hierarchy of learning motives plays an extremely important role for a management of productive activity of learners, their activity and purposefulness. In the process of educational work, such a motivational hierarchy is formed, where some motives are dynamic mechanisms of other motives that are very difficult to identify at the intuitive level, especially considering the influence of each of them. Therefore, to determine the most significant hierarchical sequence of motives, an innovative method was proposed which is based on the ideas of artificial intelligence. As an example, the search was implemented based on the so-called algorithm of imitation roasting, which is capable to take into account the probabilistic nature of motivational indicators. The article highlights the main leading educational motives of students, on the basis of which the “mechanism” of finding their optimal hierarchical system is shown, and one that simultaneously takes into account the multifactorial influence of their driving causes, taking into account their interconnection, interaction and dynamism. A step-by-step realization of construction of such a hierarchical system of main educational motives in combination with casual, minor motives which are difficult for expecting or providing in advance is shown. Given their unpredictability and probabilistic nature of occurrence, the proposed system of intelligent search allows you to select exactly those sequences of motives that provide the highest productivity and effectiveness of training. The value of the proposed algorithm of imitation roasting is that the accuracy of the result is sacrificed, but the number of iteration cycles decreases, which plays a large role in processing a significant number of motivational indicators.

Application and Empirical Study of Educational Informationization

2021 ◽  
Vol 8 (S1) ◽  
pp. 5
Author(s):  
Fei Gao
Keyword(s):  
Local Governments ◽  
Teaching And Learning ◽  
Practical Experience ◽  
Teaching Staff ◽  
Development Education ◽  
Education Development ◽  
Teaching Resources ◽  
Local Conditions ◽  
Balanced Development ◽  
Information And Communication

With the steady development and growth of economic society, remarkable achievements have been made in the construction and application of teaching resources, the establishment, and development of teaching staff, the innovation of the teaching and learning model, and the in-depth application of information and communication technology. In particular, is the thriving education undertaking? At the time local governments accelerating economic and social development, education is always the priority. They took education informatization as an essential solution to improve education development, promoting education informatization. This article takes Chengchuan Elementary School as an example, introduced the balanced development of urban and rural education and the cooperation with universities, and summarized its practical experience in applying education informatization under local conditions.

scholarly journals Well-founded operators for normal hybrid MKNF knowledge bases

2017 ◽  
Vol 17 (5-6) ◽  
pp. 889-905
Author(s):  
JIANMIN JI ◽  
FANGFANG LIU ◽  
JIA-HUAI YOU
Keyword(s):  
Artificial Intelligence ◽  
Search Engine ◽  
Knowledge Bases ◽  
Rule Based ◽  
Open World ◽  
Closed World ◽  
Ontology Languages ◽  
Inference Methods ◽  
Partial Partitions ◽  
Normal Hybrid

AbstractHybrid MKNF knowledge bases have been considered one of the dominant approaches to combining open world ontology languages with closed world rule-based languages. Currently, the only known inference methods are based on the approach of guess-and-verify, while most modern SAT/ASP solvers are built under the DPLL architecture. The central impediment here is that it is not clear what constitutes a constraint propagator, a key component employed in any DPLL-based solver. In this paper, we address this problem by formulating the notion of unfounded sets for non-disjunctive hybrid MKNF knowledge bases, based on which we propose and study two new well-founded operators. We show that by employing a well-founded operator as a constraint propagator, a sound and complete DPLL search engine can be readily defined. We compare our approach with the operator based on the alternating fixpoint construction by Knorr et al. (2011. Artificial Intelligence 175, 9, 1528–1554) and show that, when applied to arbitrary partial partitions, the new well-founded operators not only propagate more truth values but also circumvent the non-converging behavior of the latter. In addition, we study the possibility of simplifying a given hybrid MKNF knowledge base by employing a well-founded operator and show that, out of the two operators proposed in this paper, the weaker one can be applied for this purpose and the stronger one cannot. These observations are useful in implementing a grounder for hybrid MKNF knowledge bases, which can be applied before the computation of MKNF models.

Teaching interpreting online for the Translation and Interpreting Degree at the University of Vic

2020 ◽  
Vol 6 (2) ◽  
pp. 172-182
Author(s):  
María Perramon ◽  
Xus Ugarte
Keyword(s):  
Information And Communication Technologies ◽  
Online Teaching ◽  
Teaching And Learning ◽  
Teaching Staff ◽  
Teaching Resources ◽  
Face To Face ◽  
Information And Communication ◽  
University Degree ◽  
The University ◽  
Academic Year

Abstract At a time when the advances in information and communication technologies meant that new approaches to virtual teaching and learning could be proposed, the teaching staff on the degree in Translation and Interpreting at UVic decided to offer part of the degree in distance learning mode. This learning mode was launched in the 2001–2002 academic year, with optional face-to-face teaching sessions some Saturdays and coexisted with the traditional face-to-face courses. During the first years, the fourth-year interpreting specialisation subjects were not taught online for technical and pedagogical reasons. Since the 2014-2015 academic year, we also teach these subjects online. The challenge that we face starting the 2017-2018 academic year is twofold: 1. To adapt the online teaching of interpreting subjects to groups with a high number of students in the new Inter-university Degree in Translation, Interpreting and Applied Languages jointly offered by the University of Vic and the Open University of Catalonia (UOC). 2. To adapt the contents and methodology of interpreting subjects to changes in professional practice: telephone and videoconference interpreting, especially in liaison interpreting. In our paper, we will show some online teaching resources, as well as several online tools which we use in our courses.

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