Multidimensional Models of Information Need

2009 ◽  
Vol 08 (01) ◽  
pp. 53-66
Author(s):  
Yun-jie (Calvin) Xu ◽  
Kai Huang (Joseph) Tan
Keyword(s):  
Information Science ◽  
Retrieval System ◽  
Multidimensional Model ◽  
Dimensional Model ◽  
Information Need ◽  
Multidimensional Construct ◽  
Multiple Data ◽  
Multiple Dimensions ◽  
Multidimensional Models ◽  
Better Than

User studies in information science have recognised relevance as a multidimensional construct. An implication of multidimensional relevance is that a user's information need should be modeled by multiple data structures to represent different relevance dimensions. While the extant literature has attempted to model multiple dimensions of a user's information need, the fundamental assumption that a multidimensional model is better than a uni-dimensional model has not been addressed. This study seeks to test this assumption. Our results indicate that a retrieval system that models both topicality and the novelty dimension of a users' information need outperforms a system with a uni-dimensional model.

scholarly journals Bulk properties of multidimensional objects

2019 ◽  
pp. 30-33
Author(s):  
Aleksandr Viktorovich Vitko
Keyword(s):  
Three Dimensional ◽  
Multidimensional Model ◽  
Dimensional Model ◽  
Bulk Properties ◽  
One Dimensional ◽  
Infinite Dimensional ◽  
Three Dimensional Objects ◽  
Material Points ◽  
Multidimensional Objects ◽  
Multidimensional Models

For the purpose of learning multidimensional models, difficult for perception, representations and technology (device) of the description and measurement of volume and amount of the substance filling the volume of multidimensional objects are considered. Alternative options of multidimensional set of one-dimensional models and unified multidimensional model of three-dimensional objects are compared. The technology of measurement of multidimensional volume and amount of the substance that fills volume is shown. The authors came to the conclusion when transferring from a set of coordinate vectors of material points in complete spatial angle 4π steradian to multidimensional model of in pairs orthogonal vectors, calculation of volume of a multidimensional object significantly becomes simpler. The conclusion is that potentially infinite-dimensional model of an object represents the sphere in which balk of volume, the quantity and energy of the substance filling volume are entirely concentrated on its surface.

Information Retrieval

2016 ◽  
Author(s):  
Qiaozhu Mei ◽  
Dragomir Radev
Keyword(s):  
Information Retrieval ◽  
Digital Libraries ◽  
Web Search ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Information Need ◽  
System A ◽  
Recent Developments ◽  
Text Information ◽  
Text Information Retrieval

This chapter is a basic introduction to text information retrieval. Information Retrieval (IR) refers to the activities of obtaining information resources (usually in the form of textual documents) from a much larger collection, which are relevant to an information need of the user (usually expressed as a query). Practical instances of an IR system include digital libraries and Web search engines. This chapter presents the typical architecture of an IR system, an overview of the methods corresponding to the design and the implementation of each major component of an information retrieval system, a discussion of evaluation methods for an IR system, and finally a summary of recent developments and research trends in the field of information retrieval.

The Contribution of Case Study Research in Information Science

2022 ◽  
pp. 568-586
Author(s):  
Beatrice Ngulube
Keyword(s):  
Data Collection ◽  
Information Science ◽  
Case Study Research ◽  
Science Research ◽  
Research Strategy ◽  
Use Case ◽  
Study Research ◽  
Multiple Data ◽  
The Social

The reputation of case study research has grown as a research strategy for developing theories and as a method for investigating and understanding world complex issues. The purpose of this chapter is to demonstrate how the case study research can add value to a research project. Case study research, although becoming increasingly popular is not adequately utilised in information science research. The chapter draws on the literature on case study research in various fields and uses examples to inform research in information science. Case study research have been used across a number of disciplines, particularly, in the social sciences, education and business to address real world problems. Many researchers tend to use case study research because of the numerous advantages it offers. For instance, the employment of multiple data collection instruments maximises the depth of information, which in turn increases transferability of the findings. Additionally, the use of multiple cases and multiple data collection instruments make generalisation easy and valid. Maximising generalisability of findings is the ultimate goal of research.

scholarly journals Fusing Logical Relationship Information of Text in Neural Network for Text Classification

2020 ◽  
Vol 2020 ◽  
pp. 1-16 ◽  
Author(s):  
Heyong Wang ◽  
Dehang Zeng
Keyword(s):  
Neural Network ◽  
Text Classification ◽  
Information Science ◽  
Classification Algorithms ◽  
Human Beings ◽  
Central Idea ◽  
Logical Relationship ◽  
The Relationship ◽  
Different Parts ◽  
Better Than

With the development of computer science and information science, text classification technology has been greatly developed and its application scenarios have been widened. In traditional process of text classification, the existing method will lose much logical relationship information of text. The logical relationship information of a text refers to the relationship information among different logical parts of the text, such as title, abstract, and body. When human beings are reading, they will take title as an important part to remind the central idea of the article, abstract as a brief summary of the content of the article, and body as a detailed description of the article. In most of the text classification studies, researchers concern more about the relationship among words (word frequency, semantics, etc.) and neglect the logical relationship information of text. It will lose information about the relationship among different parts (title, body, etc.) and have an influence on the performance of text classification. Therefore, we propose a text classification algorithm—fusing the logical relationship information of text in neural network (FLRIOTINN), which complements the logical relationship information into text classification algorithms. Experiments show that the effect of FLRIOTINN is better than the conventional backpropagation neural networks which does not consider the logical relationship information of text.

The Contribution of Case Study Research in Information Science

2020 ◽  
pp. 95-113
Author(s):  
Beatrice Ngulube
Keyword(s):  
Data Collection ◽  
Information Science ◽  
Case Study Research ◽  
Science Research ◽  
Research Strategy ◽  
Use Case ◽  
Study Research ◽  
Multiple Data ◽  
The Social

The reputation of case study research has grown as a research strategy for developing theories and as a method for investigating and understanding world complex issues. The purpose of this chapter is to demonstrate how the case study research can add value to a research project. Case study research, although becoming increasingly popular is not adequately utilised in information science research. The chapter draws on the literature on case study research in various fields and uses examples to inform research in information science. Case study research have been used across a number of disciplines, particularly, in the social sciences, education and business to address real world problems. Many researchers tend to use case study research because of the numerous advantages it offers. For instance, the employment of multiple data collection instruments maximises the depth of information, which in turn increases transferability of the findings. Additionally, the use of multiple cases and multiple data collection instruments make generalisation easy and valid. Maximising generalisability of findings is the ultimate goal of research.

The Application of Information Science Technology to Music Education Materials

1974 ◽  
Vol 22 (4) ◽  
pp. 251-257
Author(s):  
William S. Lane
Keyword(s):  
Information Retrieval ◽  
Music Education ◽  
Data Base ◽  
Information Science ◽  
Retrieval System ◽  
Subject Area ◽  
Information Retrieval System ◽  
Computer Assisted ◽  
File Formats ◽  
Different Types

Techniques and procedures were developed for cataloging, indexing, and storing information concerning diverse music education materials in a computer-assisted information retrieval system. Indexing procedures and bibliographic file formats were developed, and a data base of 830 documents was created. One subject area was indexed for content and a thesaurus of descriptors developed for it. The subfile so indexed consisted of 107 documents. Searches were made of the data base, with completely accurate results demonstrating that many different types of music education materials can be efficiently manipulated in a computer-assisted information retrieval system.

Human-centric Faceted Approach for Ontology Construction

2020 ◽  
Vol 47 (1) ◽  
pp. 31-44
Author(s):  
Shiv Shakti Ghosh ◽  
Subhashis Das ◽  
Sunil Kumar Chatterjee
Keyword(s):  
Domain Knowledge ◽  
Information Science ◽  
Library And Information Science ◽  
Construction Process ◽  
Information Need ◽  
Ontology Construction ◽  
System P ◽  
Facet Analysis ◽  
Tourism Information ◽  
Selective Dissemination Of Information

In this paper, we propose an ontology building method, called human-centric faceted approach for ontology construction (HCFOC). HCFOC uses the human-centric approach, improvised with the idea of selective dissemination of information (SDI), to deal with context. Further, this ontology construction process makes use of facet analysis and an analytico-synthetic classification approach. This novel fusion contributes to the originality of HCFOC and distinguishes it from other existing ontology construction methodologies. Based on HCFOC, an ontology of the tourism domain has been designed using the Protégé-5.5.0 ontology editor. The HCFOC methodology has provided the necessary flexibility, extensibility, robustness and has facilitated the capturing of background knowledge. It models the tourism ontology in such a way that it is able to deal with the context of a tourist’s information need with precision. This is evident from the result that more than 90% of the user’s queries were successfully met. The use of domain knowledge and techniques from both library and information science and computer science has helped in the realization of the desired purpose of this ontology construction process. It is envisaged that HCFOC will have implications for ontology developers. The demonstrated tourism ontology can support any tourism information retrieval system.

Analysis on Stress and Deformation of Low Elastic Modulus Concrete Cutoff Wall inside the Dam Body

2011 ◽  
Vol 130-134 ◽  
pp. 3208-3215 ◽  
Author(s):  
Ru Mou ◽  
Chang Jie Xu ◽  
Xiao Hua Ma
Keyword(s):  
Elastic Modulus ◽  
Critical Value ◽  
Middle Section ◽  
Dimensional Model ◽  
Cutoff Wall ◽  
3 Dimensional ◽  
Low Elastic Modulus ◽  
Edge Part ◽  
Stress And Deformation ◽  
Better Than

Based on the simulation of a low elastic modulus concrete cutoff wall, the effect of dam constitutive model, elastic modulus of cutoff wall, the height of dam on the stress and deformation of the cut off wall is analyzed systematically. A critical value of cutoff wall’s elastic modulus values is proposed, when the elastic modulus overruns the value, the stress of wall increases fast, while almost no change when the elastic modulus is lower than the value. By comparing the sensitivity of cut off wall’s stress and deformation to the change of wall’s elastic modulus and dam’s elastic modulus, the effect of reducing the wall’s elastic modulus on the stress and deformation of wall is proved to be better than the way of enhancing the dam’s elastic modulus. Meanwhile by comparing the results between 2-dimensional model and 3-dimensional model, 2-dimensional model is proved to be only suitable for the analysis of middle section of the dam, while 3-dimensional model is suitable for the whole section, including the edge part.

scholarly journals A Causal Model of Consumer-Based Brand Equity

2015 ◽  
Vol 3 (1) ◽  
pp. 5-26 ◽  
Author(s):  
Attila Szőcs ◽  
József Berács
Keyword(s):  
Brand Equity ◽  
Causal Model ◽  
Dimensional Structure ◽  
Two Dimensional ◽  
Multidimensional Model ◽  
Final Model ◽  
Multidimensional Construct ◽  
Common Method Bias ◽  
Method Bias ◽  
Intuitive Model

AbstractBranding literature suggests that consumer-based brand equity (CBBE) is a multidimensional construct. Starting from this approach and developing a conceptual multidimensional model, this study finds that CBBE can be best modelled with a two-dimensional structure and claims that it achieves this result by choosing the theoretically based causal specification. On the contrary, with reflective specification, one will be able to fit almost any valid construct because of the halo effect and common method bias. In the final model, Trust (in quality) and Advantage are causing the second-order Brand Equity. The two-dimensional brand equity is an intuitive model easy to interpret and easy to measure, which thus may be a much more attractive means for the management as well.

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