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Search Results: 1 - 10 of 10208 matches for " knowledge acquisition "
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High-speed Detection of Ontological Knowledge and Bi-directional Lexico-Syntactic Patterns from the Web
Hiroaki Ohshima,Katsumi Tanaka
Journal of Software , 2010, DOI: 10.4304/jsw.5.2.195-205
Abstract: We propose a high-speed method of detecting ontological knowledge from the Web. Ontological knowledge in this paper means a term related to a given term. For example, hypernyms and hyponyms are basic related terms that are treated in dictionaries. Synonyms and coordinate terms are also well-defined related terms. Topic terms and description terms represent topics of the given term and they are vaguely defined. There are other related terms such as abbreviations and nicknames. The proposed method can be used for detecting many kinds of related terms. It extracts related terms from text resources only from Web search results, which consist of the titles, snippets, and URLs of Web pages. We use two different kinds of lexico-syntactic patterns to extract related terms from the search results, and these are called bi-directional lexico-syntactic patterns. The proposed method can be applied to both languages where words are separated by a space such as English and Korean and ones where words are not separated by a space such as Japanese and Chinese. The proposed method does not need any advanced natural language processing such as morphological analysis or syntactic parsing. It works relatively fast and has excellent precision. We also propose a method of automatically discovering superior bi-directional lexico-syntactic patterns using Web search engines because it is sometimes difficult to find appropriate patterns to detect related terms in a certain relationship.
Application of Multi-Frequency SAR Images for Knowledge Acquisition  [PDF]
V. Battsengel, D. Amarsaikhan, A. Munkh-Erdene, Ch. Bolorchuluun, Ch. Narantsetseg
Advances in Remote Sensing (ARS) , 2013, DOI: 10.4236/ars.2013.23026
Abstract:

The aim of this research is to apply TerraSAR X-band, Envisat C-band and Palsar L-band synthetic aperture radar (SAR) images for a knowledge acquisition process. For the study, backscattering properties of different natural and man-made objects of urban environment are analyzed on the basis of statistics of signatures of the selected classes. After the knowledge acquisition, for the acquired knowledge representation, a rule-based approach is proposed. Overall, the research demonstrated that the multi-frequency radar images can be effectively used for the knowledge acquisition as well as for the analysis of different land cover types.

A New Algorithm for the Acquisition of Knowledge from Scientific Literature in Specific Fields Based on Natural Language Comprehension  [PDF]
Hui Wei, Zhi-long Dai
International Journal of Intelligence Science (IJIS) , 2011, DOI: 10.4236/ijis.2011.12005
Abstract: The acquisition of knowledge and the representation of that acquisition have always been viewed as the bottleneck in the construction of knowledge-based systems. The traditional methods of acquiring knowledge are based on knowledge engineering and communication with field experts. However, these methods cannot produce systematic knowledge effectively, automatically construct knowledge-based systems, or benefit knowledge reasoning. It has been noted that, in specific professional fields, experts often use fixed patterns to describe their expertise in the scientific articles that they publish. Abstracts and conclusions, for example, are key components of the scientific article, containing abundant field knowledge. This paper suggests a method of acquiring production rules from the abstracts and conclusions of scientific articles in specific fields based on natural language comprehension. First, the causal statements in article abstracts and conclusions are extracted using existing techniques, such as text mining. Next, antecedence and consequence fragments are extracted using causal template matching algorithms. As the final step, part-of-speech-tagging production rules are automatically generated according to a syntax parsing tree from the speech pair sequence. Experiments show that this system not only improves the efficiency of knowledge acquisition but also simultaneously generates systematic knowledge and guarantees the accuracy of acquired knowledge.
Elementos conceptuales básicos del proceso de ense?anza-aprendizaje
Alfonso Sánchez,Ileana;
ACIMED , 2003,
Abstract: the didactic unity of teaching- learning process was discussed, where teaching and all components, should be considered as a closely related system to man practical activitis, that prepare man abilities to know, understand and transform objective reality. some basic conceptual elements related to learning, a complex process aimed at acquiring new knowledge and abilities are exposed. neurofisiological aspects dealing with learning, with a dramatic development in the last years are provided. these conceptions state that behavior of the human brain is tightly bond to the learning style. the main features of individual learning process depends on the functioning or fisiological status of the brain and the central nervious subsystem in general.
Basic Elements Knowledge Acquisition Study in the Chinese Character Intelligent Formation System  [PDF]
Mingyou LIU, Chengsen DUAN, Youguo PI
Journal of Software Engineering and Applications (JSEA) , 2009, DOI: 10.4236/jsea.2009.25041
Abstract: In the Chinese character intelligent formation system without Chinese character library, it is possible that the same basic element in different Chinese characters is different in position, size and shape. The geometry transformation from basic elements to the components of Chinese characters can be realized by affine transformation, the transformation knowledge acquisition is the premise of Chinese character intelligent formation. A novel algorithm is proposed to ac-quire the affine transformation knowledge of basic elements automatically in this paper. The interested region of Chi-nese character image is determined by the structure of the Chinese character. Scale invariant and location invariant of basic element and Chinese character image are extracted with SIFT features, the matching points of the two images are determined according to the principle of Minimum Euclidean distance of eigenvectors. Using corner points as identifi-cation features, calculating the one-way Hausdorff distance between corner points as the similarity measurement from the affine image to the Chinese character sub-image, affine coefficients are determined by optimal similarity. 70244 Chinese characters in National Standards GB18030-2005 character set are taken as the experimental object, all the characters are performed and the experimental courses and results are presented in this paper.
How to Learn Knowledge from Foreign Partner: A Case Study of Japanese Joint Venture in Indonesia  [PDF]
Tirta N. Mursitama
iBusiness (IB) , 2010, DOI: 10.4236/ib.2010.22020
Abstract: This research focuses on how local partner learn knowledge from foreign partner in Japanese joint venture in emerging economies context. Contribution of this research is as follows. First, by distinguishing the type and characteristics of each process, this typology enhances our understanding about JV as useful organizational learning mechanism, particularly in Japanese joint venture in emerging economies and about the source of firm’s heterogeneity underlying learning process. Second, this extensive in-depth case study provides the clear evidences of the importance of internal learning capability process to improve technological capability, absorptive capacity, and relational rents generated from resource sharing mechanism. Third, this study, to best knowledge, is a pioneer research in Indonesia since technological issues have been paid little attention from scholars.
Knowledge Acquisitions in Slovenian Small and Medium-Sized Enterprises
Doris Gomezelj Omerzel
Management , 2011,
Abstract: The aim of the article is to illustrate the methods of acquiring knowledgein enterprises. Knowledge will be defined in terms of individualsand of the organization. Different authors define knowledge in differentways and they also recommend various methods for the effectiveacquisition of knowledge. There is a substantial confusion in terminology,but all of them clearly agree that knowledge is becoming the mostimportant source of competitive advantage. It is vital for the survivaland success of the firm. The most important, of course, is the knowledgethat contributes to business success. This knowledge has a certainvalue in the market. The basic question is how to ensure such anenvironment for knowledge to be able to create maximum added valueas a measure of business performance. In the future the employees should be able to continuously enrich their knowledge and therebygain the ability to make competitive products and services to market.
Leveraging Framework Documentation Solutions for Intermediate Users in Knowledge Acquisition
International Journal of Information Science , 2013, DOI: 10.5923/j.ijis.20130301.03
Abstract: Frameworks are increasingly employed as a useful way to enable object-oriented reuse. However, understanding frameworks is not easy due to their size and complexity. Previous work concentrated on different ways to document frameworks, but it was unclear which ones actually were better. This paper presents a novel way of investigating the different philosophies for framework documentation. The philosophies include minimalist, patterns-style and extended javadoc (Jdoc) documentation. Using a survey of 90 intermediate users engaged in Command and Adaptor design patterns coding work, this exploratory study discovered that minimalist documentation has positive impacts in encouraging knowledge acquisition, significantly in terms of the framework functional workings. This concludes that documentation solutions with the minimalist principle can lead intermediate users to faster growth in learning two of the design patterns.
Terminology-Based Approach: Knowledge Acquisition and Integration in Healthcare
Subiksha.K.P,K.Alagarsamy
International Journal of Computer Technology and Applications , 2012,
Abstract: Healthcare organizations are increasingly choosing the Knowledge Management Systems for clinical use, which have been established in technical support organizations for several years. Technical support organization can make use of its Knowledge Management System to meets its customer needs using its infrastructure and established processes. Success of Knowledge Management System in a healthcare organization mainly depends on the practice of healthcare professionals. Knowledge acquisition is very vital in healthcare than the application in technical support. The aim is to provide efficient access to heterogeneous biological textual data and databases, enabling users to integrate a wide range of textual and non-textual resources effortlessly. The main objective of the system is to make easier knowledge acquisition through query answering against XML-based documents in Healthcare specifically in the domain of molecular biology.
El desarrollo de la escritura de palabras en espa?ol: Interacción entre el conocimiento fonológico y ortográfico
Sánchez Abchi,Verónica; Diuk,Beatriz; Borzone,Ana María; Ferroni,Marina;
Interdisciplinaria , 2009,
Abstract: this study analyzed the acquisition of word spelling strategies in spanish-speaking children, during the first two years of elementary education. the cognitive word spelling models, initially developed for english, describe different stages in the acquisition spelling process. in the first stage, children write by memory, reproducing visual cues. at a second stage, children analyze the phonological structure of the word. finally, in an orthographic stage, children can write words, using lexical information, without phonological mediation (frith, 1984, 1985; marsh, friedman, welch & desberg, 1980). even when the stages theory was discussed, these first studies allowed the identification of early lexical strategies and phonological mechanisms implied in the english word spelling processes. however, english is a language with a deep orthography, and the phonological strategy is a necessary mechanism but it is not enough to spell words properly. on the contrary, the spanish orthographic system is shallow, and the phonemes-graphemes correspondences are very regular. consequently, the spelling strategies could be different in these two languages, and the models developed for english would partially explain the orthographic learning process in transparent languages. this work aims to contribute to the knowledge on early spelling word strategies in spanish. in two experiments, first and second grade children were given spelling tests designed to explore their phonological and orthographic knowledge. in the first experiment, the incidence of word complexity, length and frequency on spelling performance was explored. however, there was a possibility that, if children performed better in frequent words spelling, in relation to less frequent, they were resorting to their lexical knowledge. in this case, children were using an orthographic-lexical strategy. on the other hand, the possibility of writing complex and long words is associated to the phonological awareness level and
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