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Article
Publication date: 6 May 2014

Jin Zhang and Marcia Lei Zeng

– The purpose of this paper is to introduce a new similarity method to gauge the differences between two subject hierarchical structures.

Abstract

Purpose

The purpose of this paper is to introduce a new similarity method to gauge the differences between two subject hierarchical structures.

Design/methodology/approach

In the proposed similarity measure, nodes on two hierarchical structures are projected onto a two-dimensional space, respectively, and both structural similarity and subject similarity of nodes are considered in the similarity between the two hierarchical structures. The extent to which the structural similarity impacts on the similarity can be controlled by adjusting a parameter. An experiment was conducted to evaluate soundness of the measure. Eight experts whose research interests were information retrieval and information organization participated in the study. Results from the new measure were compared with results from the experts.

Findings

The evaluation shows strong correlations between the results from the new method and the results from the experts. It suggests that the similarity method achieved satisfactory results.

Practical implications

Hierarchical structures that are found in subject directories, taxonomies, classification systems, and other classificatory structures play an extremely important role in information organization and information representation. Measuring the similarity between two subject hierarchical structures allows an accurate overarching understanding of the degree to which the two hierarchical structures are similar.

Originality/value

Both structural similarity and subject similarity of nodes were considered in the proposed similarity method, and the extent to which the structural similarity impacts on the similarity can be adjusted. In addition, a new evaluation method for a hierarchical structure similarity was presented.

Details

Journal of Documentation, vol. 70 no. 3
Type: Research Article
ISSN: 0022-0418

Keywords

Abstract

Details

Understanding Intercultural Interaction: An Analysis of Key Concepts, 2nd Edition
Type: Book
ISBN: 978-1-83753-438-8

Book part
Publication date: 2 December 2019

Frank Fitzpatrick

Abstract

Details

Understanding Intercultural Interaction: An Analysis of Key Concepts
Type: Book
ISBN: 978-1-83867-397-0

Article
Publication date: 28 February 2005

Patricia M Boechler and Michael R W Dawson

The purpose of this study is to build on previous research in hypermedia by including an investigation of the relationships between navigation tools, path patterns and mental…

Abstract

The purpose of this study is to build on previous research in hypermedia by including an investigation of the relationships between navigation tools, path patterns and mental representations with traditional measures of navigation outcomes. We examined the effects of four different spatial layouts on three facets of hypermedia use, performance, path patterns and mental representation, during an information search task. Typically, such measures are evaluated independently. We have sought to reveal what types of information in a navigation tool might mediate links between these three aspects of hypermedia use. The performance measures indicated that providing certain types of spatial information does not enhance speed, accuracy or economy but does enhance recall of page titles. Reference is then made to an earlier analysis on the dataset of path patterns using Multidimensional Scaling (MDS) which indicated that users’ paths reflected the most prominent type of information provided in the navigation tool. The MDS configurations were then compared to the results of a distance‐like ratings task using correlation and regression methods. Only users given explicit spatial cues in the navigation tool exhibited ratings that reflected the paths they had actually taken. Although spatial information may not impact surface performance measures such as speed and economy, spatial information does play a role in influencing where users go and the development of their mental representations of the material in a hyper document.

Details

Interactive Technology and Smart Education, vol. 2 no. 1
Type: Research Article
ISSN: 1741-5659

Keywords

Article
Publication date: 1 July 1980

J.A. Saunders

Examines the processes of cluster analysis and describes them using an example of benefit segmentation, and also discusses other applications suggesting new directions of research…

2729

Abstract

Examines the processes of cluster analysis and describes them using an example of benefit segmentation, and also discusses other applications suggesting new directions of research in related fields. Bases an example study with 200 early respondents to a survey into sixth formers' choice of degree course, in which students were given 23 criteria which related to their course choice. Comparisons of likeness using Euclidean distance measures were employed. Uses also importance ratings given by three drivers to characteristics of new cars. Proposes that hierarchical clustering can be criticised when used to cluster data that is not naturally hierarchical, but other procedures have similar failings. Posits that clumping and optimisation in conjunction with hierarchical clustering offer the greater potential. Concludes that cluster analysis is a flexible tool, which provides a number of opportunities for marketing, and it is an appealing and simple idea ‐ but there are many technical questions that a researcher must ask before it is used.

Details

European Journal of Marketing, vol. 14 no. 7
Type: Research Article
ISSN: 0309-0566

Keywords

Article
Publication date: 1 May 2006

Koraljka Golub

To provide an integrated perspective to similarities and differences between approaches to automated classification in different research communities (machine learning…

2205

Abstract

Purpose

To provide an integrated perspective to similarities and differences between approaches to automated classification in different research communities (machine learning, information retrieval and library science), and point to problems with the approaches and automated classification as such.

Design/methodology/approach

A range of works dealing with automated classification of full‐text web documents are discussed. Explorations of individual approaches are given in the following sections: special features (description, differences, evaluation), application and characteristics of web pages.

Findings

Provides major similarities and differences between the three approaches: document pre‐processing and utilization of web‐specific document characteristics is common to all the approaches; major differences are in applied algorithms, employment or not of the vector space model and of controlled vocabularies. Problems of automated classification are recognized.

Research limitations/implications

The paper does not attempt to provide an exhaustive bibliography of related resources.

Practical implications

As an integrated overview of approaches from different research communities with application examples, it is very useful for students in library and information science and computer science, as well as for practitioners. Researchers from one community have the information on how similar tasks are conducted in different communities.

Originality/value

To the author's knowledge, no review paper on automated text classification attempted to discuss more than one community's approach from an integrated perspective.

Details

Journal of Documentation, vol. 62 no. 3
Type: Research Article
ISSN: 0022-0418

Keywords

Article
Publication date: 28 September 2010

Veronica Maidel, Peretz Shoval, Bracha Shapira and Meirav Taieb‐Maimon

The purpose of this paper is to describe a new ontological content‐based filtering method for ranking the relevance of items for readers of news items, and its evaluation. The…

Abstract

Purpose

The purpose of this paper is to describe a new ontological content‐based filtering method for ranking the relevance of items for readers of news items, and its evaluation. The method has been implemented in ePaper, a personalised electronic newspaper prototype system. The method utilises a hierarchical ontology of news; it considers common and related concepts appearing in a user's profile on the one hand, and in a news item's profile on the other hand, and measures the “hierarchical distances” between these concepts. On that basis it computes the similarity between item and user profiles and rank‐orders the news items according to their relevance to each user.

Design/methodology/approach

The paper evaluates the performance of the filtering method in an experimental setting. Each participant read news items obtained from an electronic newspaper and rated their relevance. Independently, the filtering method is applied to the same items and generated, for each participant, a list of news items ranked according to relevance.

Findings

The results of the evaluations revealed that the filtering algorithm, which takes into consideration hierarchically related concepts, yielded significantly better results than a filtering method that takes only common concepts into consideration. The paper determined a best set of values (weights) of the hierarchical similarity parameters. It also found out that the quality of filtering improves as the number of items used for implicit updates of the profile increases, and that even with implicitly updated profiles, it is better to start with user‐defined profiles.

Originality/value

The proposed content‐based filtering method can be used for filtering not only news items but items from any domain, and not only with a three‐level hierarchical ontology but any‐level ontology, in any language.

Details

Online Information Review, vol. 34 no. 5
Type: Research Article
ISSN: 1468-4527

Keywords

Article
Publication date: 1 May 1983

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of…

16238

Abstract

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

Details

Management Decision, vol. 21 no. 5
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 1 August 2003

Shui‐Lung Chuang and Lee‐Feng Chien

It is crucial for information retrieval systems to learn more about what users search for in order to fulfil the intent of searches. This paper introduces query taxonomy…

1354

Abstract

It is crucial for information retrieval systems to learn more about what users search for in order to fulfil the intent of searches. This paper introduces query taxonomy generation, which attempts to organise users’ queries into a hierarchical structure of topic classes. Such a query taxonomy provides a basis for the in‐depth analysis of users’ queries on a larger scale and can benefit many information retrieval systems. The proposed approach to this problem consists of two computational processes: hierarchical query clustering to generate a query taxonomy from scratch, and query categorisation to place newly‐arrived queries into the taxonomy. The results of the preliminary experiment have shown the potential of the proposed approach in generating taxonomies for queries, which may be useful in various Web information retrieval applications.

Details

Online Information Review, vol. 27 no. 4
Type: Research Article
ISSN: 1468-4527

Keywords

Article
Publication date: 1 June 2018

Chunxiu Qin, Pengwei Zhao, Jian Mou and Jin Zhang

Browsing knowledge documents in a peer-to-peer (P2P) environment is difficult because knowledge documents in such an environment are large in quantity and distributed over…

Abstract

Purpose

Browsing knowledge documents in a peer-to-peer (P2P) environment is difficult because knowledge documents in such an environment are large in quantity and distributed over different peers who organize the documents according to their own views. This paper aims to propose a method for constructing a personal knowledge map for a peer to facilitate knowledge browsing and alleviate information overload in P2P environments.

Design/methodology/approach

The research presents a method for constructing a personal knowledge map. The method adopts an ontology-concept-tree-based classification algorithm to recognize a peer’s personal knowledge structure and construct a personal knowledge map, and uses a self-organizing map algorithm to cluster and visualize the knowledge documents. The correctness of the created knowledge map is evaluated with a collection of abstracts of academic papers.

Findings

The method for constructing a personal knowledge map is the main finding of this research. The evaluation shows that the created knowledge map is good in quality.

Research limitations/implications

The proposed method provides a way for P2P platforms to understand their users’ knowledge background, as well as to improve the P2P platform environment. However, the proposed method will not help a peer when he has nothing in his individual knowledge document repository (i.e. the “cold start” problem). The method also requires a relatively good ontology base for a P2P document sharing system to use the method effectively.

Originality/value

It is novel that the proposed method organizes the knowledge documents related to a peer’s knowledge background into a personal knowledge map. Moreover, the created knowledge map combines the advantages of a hierarchical display and a map display. It has values for a distributed P2P environment to facilitate users’ knowledge browsing and to alleviate information overload.

Details

The Electronic Library, vol. 36 no. 3
Type: Research Article
ISSN: 0264-0473

Keywords

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