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The need for inclusive and logically consistent representation of diverse and even confronting viewpoints on the domain knowledge has been widely discussed in the literature in the past decade. The purpose of this paper is to propose a generic model for building an open coherent diversified knowledge organization system (KOS).

The proposed model incorporates a generic epistemological component, the validity scope type, assigned to each statement in the constructed KOS. Statements are clustered by their association with various validity scope types into internally coherent subsystems. These subsystems form a knowledge organization network connected through the universal (consensual) subsystems with more than one validity scope type. The model extends the Galili’s Cultural Content Representation paradigm, which divides the knowledge content of a scientific theory into two confronting parts: body and periphery.

The knowledge organization network model makes it possible to comparatively examine similarities and differences among various viewpoints and theories on the domain knowledge. The presented approach conforms with the principle of Open Knowledge Network initiative for creation of open accessible knowledge.

The proposed model can be used for ontological reasoning by a variety of information services, such as ontology-based decision-support and learning systems, diversified search and customer management applications.

The model enables explicit representation of social and cultural minority voices and historical knowledge in the KOS.

The main contribution of the proposed model is that it generalizes and enhances various previously proposed representations of epistemological aspects of KOS and allows for multiple inter-linked subsystems to coherently co-exist as part of the extensible network.

A growing body of literature reveals that the domain of customer co-production of goods is expansive. Many research articles in the area of co-production of goods, however, have focused on specific sub-areas within the larger domain. One result of these multiple lines of inquiry is that they establish overlapping construct names and definitions. The purpose of this article is to propose a classification schema of customer co-production of goods based on general systems theory (GST).

A logical partitioning approach was employed.

A classification schema of co-production of goods is derived from two criteria: the nature of the customer's input and the customer's autonomy. The classification suggests six sub-areas of co-production of goods: restricted co-manufacturing, unrestricted co-manufacturing, co-ideation, co-design, mass customization, and participation loop.

The distinction of activities involving co-production of goods guides practitioners in the generalization of research findings and the selection of participation opportunities for their customers.

This study proposes the first classification schema of co-production activities resulting in tangible goods. The classification reduces the overlap of constructs and definitions, defines the domain of co-production of goods, aids in the construction of nomological networks, and delimits generalizations drawn from empirical research. The authors recommend that researchers interested in co-production of goods should use the schema to guide their theory development and empirical research designs.

This paper seeks to discuss the possibility of reviving browsing as an access framework in the midst of the “single search box” phenomenon.

The paper provides an overview of recent trends in the implementation of “single search” products and contrasts this with the emergence of the Linked Open Data framework.

The paper suggests that the Linked Open Data framework will provide an important platform for reviving browsing as an alternative to searching in information systems.

The paper aims to stimulate further discussion about the relative importance of browsing and searching, as well as about the implementation of the Linked Open Data framework.

The purpose of this paper is to construct a customer‐oriented integrative service model based on the generic service process. Business strategies can then be formulated by using the model.

The key classifying dimensions and their respective attributes are identified through literature reviews. Operational dimensions are formed by combining their attributes weighted by manager‐determined importance weights (IW). A generalized mathematical model is built to integrate the core services of a firm with customer‐based performance weight (PW). The integrative service model is constructed by combining the operational dimensions.

The selected classification model covers knowledge, information and virtual space dimensions that most of the previous service‐process based model lack. The developed model is simpler to understand and to use for managers comparing to the other complicated mathematical models.

Empirical studies need to be done to test the effectiveness of the model. Experienced managers are needed to decide the IW.

Managers can use the developed model to formulate integrated business strategies as well as forecasting competitor's strategies. The developed model is a customer‐oriented approach for service strategy formulation.

A generalized mathematical model is derived for a firm offering “n” kinds of core services. Computer software can be written based on it to handle the complex cases.

This paper aims to analyze the relationships between discourse leading indicators and citations from perspectives of integrating altmetrics indicators and tries to provide references for comprehending the quantitative indicators of scientific communication in the era of open science, constructing the evaluation indicator system of the discourse leading for academic journals and then improving the discourse leading of academic journals.

Based on the theory of communication and the new pattern of scientific communication, this paper explores the formation process of academic journals' discourse leading. This paper obtains 874,119 citations and 6,378,843 altmetrics indicators data from 65 international multidisciplinary academic journals. The relationships between indicators of discourse leading (altmetrics) and citations are studied by using descriptive statistical analysis, correlation analysis, principal component analysis, negative binomial regression analysis and marginal effects analysis. Meanwhile, the connotation and essential characteristics of the indicators, the strength and influence of the relationships are further analyzed and explored. It is proposed that academic journals' discourse leading is composed of news discourse leading, social media discourse leading, peer review discourse leading, encyclopedic discourse leading, video discourse leading and policy discourse leading.

It is discovered that the 15 altmetrics indicators data have a low degree of centralization to the center and a high degree of polarization dispersion overall; their distribution patterns do not follow the normal distributions, and their distributions have the characteristics of long-tailed right-peaked curves. Overall, 15 indicators show positive correlations and wide gaps exist in the number of mentions and coverage. The academic journals' discourse leading significantly affects total cites. When altmetrics indicators of international mainstream academic and social media platforms are used to explore the connotation and characteristics of academic journals' discourse leading, the influence or contribution of social media discourse, news discourse, video discourse, policy discourse, peer review discourse and encyclopedia discourse on the citations decreases in turn.

This study is innovative from the academic journal level to analyze the deep relationships between altmetrics indicators and citations from the perspective of correlation. First, this paper explores the formation process of academic journals' discourse leading. Second, this paper integrates altmetrics indicators to study the correlation between discourse leading indicators and citations. This study will help to enrich and improve basic theoretical issues and indicators’ composition, provide theoretical support for the construction of the discourse leading evaluation system for academic journals and provide ideas for the evaluation practice activities.

Under the background of open science, this paper integrates altmetrics data and combines multiple evaluation methods to analyze and evaluate the indicators' characteristics of discourse leading for academic journals, which is of great significance to enrich and improve the evaluation theory and indicator system of academic journals.

This paper obtained 795,631 citations and 10.3 million altmetrics indicators data for 126,424 published papers from 151 medicine, general and internal academic journals. In this paper, descriptive statistical analysis and distribution rules of evaluation indicators are first carried out at the macro level. The distribution characteristics of evaluation indicators under different international collaboration conditions are analyzed at the micro level. Second, according to the characteristics and connotation of the evaluation indicators, the evaluation indicator system is constructed. Third, correlation analysis, factor analysis, entropy weight method and TOPSIS method are adopted to evaluate and analyze the discourse leading in medicine, general and internal academic journals by integrating altmetrics. At the same time, this paper verifies the reliability of the evaluation results.

Six features of discourse leading integrated with altmetrics indicators are obtained. In the era of open science, online academic exchanges are becoming more and more popular. The evaluation activities based on altmetrics have fine-grained and procedural advantages. It is feasible and necessary to integrate altmetrics indicators and combine the advantages of multiple methods to evaluate the academic journals' discourse leading of which are in a diversified academic ecosystem.

This paper uses descriptive statistical analysis to analyze the distribution characteristics and distribution rules of discourse leading indicators of academic journals and to explore the availability of altmetrics indicators and the effectiveness of constructing an evaluation system. Then, combining the advantages of multiple evaluation methods, The author integrates altmetrics indicators to comprehensively evaluate the discourse leading of academic journals and verify the reliability of the evaluation results. This paper aims to provide references for enriching and improving the evaluation theory and indicator system of academic journals.

This article reports on the creation of a prototype, Web‐based, expert system utility that helps end‐users better navigate the range of library databases available at the University of Illinois at Urbana‐Champaign (UIUC). Both librarian‐assigned database descriptors and terms drawn from the controlled vocabularies of the databases themselves are used to thoroughly characterize resources. End‐users then utilize keyword searches and/or menu selections to identify resources most relevant to their information needs. In addition to reporting on the UIUC prototype and the work done to create it, the concerns that gave rise to the project are discussed. Previous work and research elsewhere are summarized, and the more common approaches currently in place in academic libraries today are noted. Plans for testing the UIUC prototype with librarians and end‐users, for evaluating the results of those tests, and for iteratively refining the tool based on those evaluations are then briefly described.

Future shock for documents librarians can be pure bliss. Now that the Federal and private data banks and computers have recovered from their initial indigestion we begin to see improved second generation government publications tools well suited to information retrieval plus microform/hard copy collections conveniently available. Custodians of extensive retrospective collections of Federal documents have only to identify and acquire modern indexes and the whole world of government information, minus a few desert isles, is at their finger tips. Collection builders face happy but expensive options that range from multimedia encompassing all bodies of information to single fiche at a time services.

Books serve as important information resources and provide space for reflection and identity-building for many lesbian, gay, bisexual, transgender, and queer/questioning (LGBTQ+) people. Many in this community have experienced reduced feelings of isolation through engagement with the writings of others. Providing a safe space for such engagement is vital. Library and information science (LIS) professionals are in an optimal position to meet such needs, particularly when efforts are made to implement changes based on explicitly expressed concerns.

This chapter provides a case study of the LGBTQ Center of Durham, North Carolina, to illustrate how the organization is integrating the local LGBTQ+ community into its library by using the community’s own vocabulary and interests to inform the center’s practices and policies. The chapter also offers a guide to the locally responsive, LGBTQ+-specific classification system created for the LGBTQ Center of Durham’s library collection. This classification system was designed to represent library materials for its Durham and surrounding-area users in a useful, accessible, and respectful manner – a feat that the library committee did not feel could be accomplished using existing classification systems.

Building on the case study for applicability, the author makes recommendations for how LIS professionals who wish to better serve LGBTQ+ users can incorporate the community into their library and/or collection. The author provides additional suggestions for action, with varying levels of commitment, for library professionals and volunteers. Through resource development, training, collection development, and classification revision, libraries can more closely align their practices with the needs of users of all gender identities and sexual orientations.