scholarly journals Chinese open information extraction based on DBMCSS in the field of national information resources

Open Physics ◽  
2018 ◽  
Vol 16 (1) ◽  
pp. 568-573
Author(s):  
Jianhou Gan ◽  
Peng Huang ◽  
Juxiang Zhou ◽  
Bin Wen

Abstract Binary entity relationship tuples can be applied in many fields such as knowledge base construction, data mining, pattern extraction, and so on. The purpose of entity relationship mining is discovering and identifying the semantic relationship. As the relationship between entities are different from the general domain, using supervise learning methods to extract entity relationships in the field of ethnicity is difficult. After research, we find that some words can be used in the context of a sentence to describe the semantic relationship. In order to salve the existing difficulties of building tagged corpus and the predefined entities-relationships model, this paper proposes a method of density-based multi-clustering clustering of semantic similarity (DBMCSS) to mine the binary entity relationship tuples from the Chinese national information corpus, which can extract entity relationships without a training corpus.

2021 ◽  
Author(s):  
Chaeyoon Kim ◽  
Keumjoo Kwak ◽  
Yeonsoo Kim

Abstract The purpose of this study was to investigate the mediating effect of grit on the relationship between stress and smartphone addiction among adolescents. Participants were 605 Korean students from age 12 to 16 (mean age = 13.97 years). Stress was assessed using the Daily Hassles Scales for Children in Korea developed by Han and Yoo (1995). Grit was measured by the Korean translated version of the Original Grit Scale (Duckworth et al., 2007; Park et al., 2020), and smartphone addiction was measured by using the Smartphone Addiction Proneness Scale for Youth developed by the National Information Society Agency (2011). The mediating effect was analyzed by using PROCESS macro version 3.5, and bootstrapping was conducted to test the significance of the mediating effect. The results showed that adolescent's stress and grit significantly influenced smartphone addiction. Also, grit partially mediated the relationship between stress and smartphone addiction. This means that high levels of stress reduced grit, which in turn increased smartphone addiction proneness among adolescents. In addition, two factors of grit (consistency of interest and perseverance of effort) both mediated the association between stress and smartphone addiction. The current study is meaningful in that it is the first study to empirically investigate adolescent's grit in relation to stress and smartphone addiction. Moreover, this study can provide useful information about prevention and intervention strategies for smartphone addiction.


Author(s):  
Hongbo Lv ◽  
Zhiying Zhou

With the wide use of smartphones, mobile cyber has become an indispensable part of our lives. While smartphones are used almost every aspect of our lives, awareness of personal information protection is underdeveloped, and information leak has become one particular problem on mobile cyber. At the same time, personal information resources have become more valuable than ever. This chapter investigates users' attitudes toward cyber information leakage and methods to protect personal information. The software SPSS 19 was used to analysis the relationship among cyber environment, applicability and practicability of protection methods, economic cost, and overall evaluation (satisfaction). A suggestion that may promote personal information awareness and promote cyber security from technical, legal, and social aspects is also provided.


Author(s):  
Wei Chen ◽  
Zhengtao Yu ◽  
Yantuan Xian ◽  
Zhenhan Wang ◽  
Yonghua Wen

Extracting keywords from a text set is an important task. Most of the previous studies extract keywords from a single text. Using the key topics in the text collection, the association relationship between the topic and the topic in the cross-text, and the association relationship between the words and the words in the cross-text has not played an important role in the previous method of extracting keywords from the text collection. In order to improve the accuracy of extracting keywords from text collections, using the semantic relationship between topics and topics in texts and highlighting the semantic relationship between words and words under the key topics, this article proposes an unsupervised method for mining keywords from short text collections. In this method, a two level semantic association model is used to link the semantic relations between topics and the semantic relations between words, and extract the key words based on the combined action. First, the text is represented with LDA; the authors used word2vec to calculate the semantic association between topic and topic, and build a semantic relation graph between topics, that is the upper level graph, and use a graph ranking algorithm to calculate each topic score. In the lower layer, the semantic association between words and words is calculated by using the topic scores and the relationship between topics in the upper network allow a graph to be constructed. Using a graph sorting algorithm sorts the words in short text sets to determine the keywords. The experimental results show that the method is better for extracting keywords from the text set, especially in short articles. In the text, the important topics, the relationship between topics and the correlation between words can improve the accuracy of extracting keywords from the text set.


2021 ◽  
Vol 4 (2) ◽  
pp. 197
Author(s):  
Patience Owere Ekpang ◽  
Martina Ekpenyong Ekeng

This study investigated the relationship between library services and the availability of information resources in federal university libraries, in South-South, Nigeria. To achieve the purpose of this study, two research questions were raised and two hypotheses were formulated to guide the study. The ex-post facto research design was adopted for the study. The population of the study was 16620 students and a sample of 800 respondents was selected for the study. The selection was done through the stratified and purposive random sampling technique. The results of the analyses revealed a significant relationship between user education and preservation of information resources and availability of information resources. Based on these findings, it was recommended, among others that: User education should be adequately given to students to enable them to make the most use of the information resources and Government should prioritize funding for the preservation of information resources for university libraries.


Author(s):  
Floor Fiers ◽  
Aaron Shaw ◽  
Eszter Hargittai

Some of the most popular websites depend on user-generated content produced and aggregated by unpaid volunteers. Contributing in such ways constitutes a type of generous behavior, as it costs time and energy while benefiting others. This study examines the relationship between contributions to a variety of online information resources and an experimental measure of generosity, the dictator game. Results suggest that contributors to any type of online content tend to donate more in the dictator game than those who do not contribute at all. When disaggregating by type of contribution, we find that those who write reviews, upload public videos, write or answer questions, and contribute to encyclopedic collections online are more generous in the dictator game than their non-contributing counterparts. These findings suggest that generous attitudes help to explain variation in contributions to review, question-and-answer, video, and encyclopedic websites.


2019 ◽  
Vol 1 (1) ◽  
pp. 93-107
Author(s):  
Nafi'ah, Wahyu Hanafi

This study aims to describe the actualization of semantic field theory in the reinterpretation of the hadiths of Islamic economic ethics. This research uses descriptive interpretive method. Actualization of semantic field theory can be explained when want to know the meaning of a word then must know the meaning of the word associated with the previous word. If viewed from the nature of the semantic relationship, then the words are grouped into a semantic field divided into 1). sintagmatic 2). set field (paradigmatic). The results of this study explain 1). Hadiths about Islamic economic ethics narrated by Ahmad and Abu Dawud with the word focus "syafā'at". contains the meaning of "mediator of goodness". The meaning of this "intermediary of goodness" is obtained through the formulation of the syntagmatic field, namely to comprehend a series of semantically interconnected words such as "double and rescue" meaning. Semantically terminology, the meaning of the word hadith is "Whosoever intercedes for a good to his brother, then he is rewarded and received, then he has come to a great door of the doors of usury. 2). Hadith about Islamic economic ethics narrated by Muslims. The word focus of the hadith is the word "gharar" which is semantically interpreted by "deception". The meaning of "deception" is obtained through the formulation of the syntagmatic field, namely by understanding the meaning of words that are still relevant to the word "deception", such as the word "unclear, and syubhat". In semantic terms, the meaning of the hadith is "Rasulullah Saw forbade buying by throwing stones and buying fraud. 3). Hadiths about Islamic economic ethics that Bukhori maintains. The focus word of the hadith is "Najsyi" which is semantically interpreted as "deceiving". The meaning of "deceiving" is derived from the paradigmatic field formulation, ie by understanding the relationship between elements at a certain level and other language elements such as "unclean, dirty, and disease" meaning. In semantic terms, the meaning of the hadith is "That the Messenger of Allah forbade buying by way of deceiving".


Author(s):  
Cavan McCarthy

Libraries and archives have always been major information sources for the history, culture and literature of regional communities. It is quite natural that in an increasingly electronic world, these rich collections are becoming available in digital form. Digital libraries permit local materials to be made available to a wide public, where they become a significant feature in the dissemination of regional culture (Love & Feather, 1998). Locally oriented digital libraries deal with specific communities, regions or states. The relationship is clear in this definition, published by the Washington-based Council on Library and Information Resources: Digital libraries are organizations that provide the resources, including the specialized staff, to select, structure, offer intellectual access to, interpret, distribute, preserve the integrity of, and ensure the persistence over time of collections of digital works so that they are readily and economically available for use by a defined community or set of communities. (Waters, 1998)


Author(s):  
Patience Owere EKPANG ◽  
William Ofem. NKANU

This study investigated the relationship between collection development variables, and utilization of information resources in university libraries, south-south, Nigeria. To achieve the purpose of this study, two research questions were raised and two hypotheses were formulated to guide the study. Ex-post facto research design was adopted for the study. The population of the study was 16620 students and a sample of 800 respondents was awareness for the study. The awareness was done through the stratified and purposive random sampling technique. The results of the analyses revealed a significant relationship between awareness, acquisition and utilization of information resources. Based on these findings, it was recommended, among others that: Government should prioritize funding for the acquisition of information resources for university libraries


Filomat ◽  
2018 ◽  
Vol 32 (5) ◽  
pp. 1861-1873 ◽  
Author(s):  
Xiaoqing Lin ◽  
Fu Zhang ◽  
Danling Wang ◽  
Jingwei Cheng

Since SPARQL has been the standard language for querying RDF data, keyword search based on keywords-to-SPARQL translation attracts more intention. However, existing keyword search based on keywords-to-SPARQL translation have limitations that the schema used for keyword-to-SPARQL translation is incomplete so that wrong or incomplete answers are returned and advantages of indexes are not fully taken. To address the issues, an inter-entity relationship summary (ER-summary) is constructed by distilling all the inter-entity relationships of RDF data graph. On ER-summary, we draw circles around each vertex with a given radius r and in the circles we build the shortest property path index (SP-index), the shortest distance index (SD-index) and the r-neighborhoods index by using dynamic programming algorithm. Rather than searching for top-k subgraphs connecting all the keywords centered directly as most existing methods do, we use these indexes to translate keyword queries into SPARQL queries to realize exchanging space for time. Extensive experiments show that our approach is efficient and effective.


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