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Leading-edge information and communication technology provides the base to facilitate obtaining, interoperating and federating shared metadata knowledge in collaborative networks from multiple heterogeneous data sources. The purpose of this study is to develop a methodology and a set of mechanisms to support this task in the collaborative environment.

In this paper, the authors first identify and capture four main typical sources to find or generate metadata knowledge for shared data in emerging networked environments, including existing well-designed metadata, the typical ones are relational schemas of existing databases in the environment; fragmented metadata sources, i.e. metadata that can be realized from existing mission statements and example application scenarios in the environment, usually characterized by their fragmented, lightweight and behavior-intensive features; extracting metadata for simple labeled unstructured data, e.g. textual communications among its stakeholders; and semantic constraints on metadata, e.g. the temporal data behavior could be generated from governance policies in the environment. Second, the authors introduce their systematic methodology to the unification of the resulted metadata consisting of four semiautomated unification steps that gradually develops and enhances a unified ontology for the environment, formalized in web ontology language.

The methodology steps and their corresponding mechanisms are described and exemplified in detail in this paper. Furthermore, this paper presents the outcome of applying the authors’ methodology to an example emerging case through the generation of a unified ontology for that environment.

The addressed example application area is a real case in the field of higher education in China and therefore serves as a proof of concept and verification of the effectiveness of the authors’ proposed approach.

Recently emerged Software as a Service (SaaS)‐based services show that it is possible to curtail cost on operation and maintenance and also to reduce additional expenses required for system upgrades. It also allows creating new values by consolidating resources of individual users on a provider's platform, which is effectively applicable to library networks for resource sharing. The aim of this study is to present a next‐generation SaaS‐based library management system and its operational model. In addition, the paper seeks to discuss the availability of knowledge‐based services for the system.

First, this study analyzes trends in open library environments, as well as issues in the operation of library management systems. Second, it examines differences between reference models of SaaS and those of ASP solutions, and case studies on recent applications of the approaches are also performed. Third, the study forecasts effects expected when the SaaS model will be fully applied to the library network. And finally, the study presents functional requirements and an operation model of SaaS‐based library management systems.

In this study a model of a SaaS‐based system which can apply library network is presented. The model is composed of: SaaS platform comprising application service layer, common service layer and service resources; network service platform to support information sharing between participating libraries and local libraries clients.

The SaaS‐based system will enhance the economic efficiency of local library operations and make available new functionalities on an on‐demand basis. Also, its feature, such as sharing a single platform among several libraries, facilitates resource sharing and knowledge‐based services.

Many enterprises implement various business projects on the Internet in the global knowledge economy. The task of managing distributed and heterogeneous project knowledge is very important in increasing the knowledge assets of enterprises. Accordingly, this work presents a project‐based knowledge map system to properly organize project knowledge into topic maps, from which users can obtain in‐depth concepts to facilitate further project development. A two‐phase data mining approach involving the ISO/ISEC 13250 topic maps and Extensible Markup Language (XML) is used to establish the proposed system, which can determine knowledge patterns from previous projects and transform these patterns into a navigable knowledge map. The map can help users to locate required information and also offers subject‐related information easily and rapidly over the Internet.

Knowledge discovery in databases (KDD) is a tedious and repetitive process. A challenge for the effective use of KDD is understanding and confirming its results derived from the harmonized process. To exploit the advantages of agents’ application, this paper aims to propose a conceptual model based on a multi-agent system (MAS) to control each step of the KDD process.

This paper reports the empirical findings of a survey conducted among academic and industrial sectors in Tehran, Iran. In this survey, the participants answered a questionnaire about the main factors of designing a suitable model for the KDD process based on MAS. The factor analysis reveals important insights of previous models developed by various researchers.

This research uses the survey results to find six critical success factors, continuity in refinement and improvement; learning and acting concurrently; loosely or tightly coupled approach for using technologies; cooperative, dynamic and flexible environment; documentation and reporting; and extracting and evaluating knowledge intelligently, for a proper conceptual model of the KDD process based on MAS.

The proposed model reflects all aspects of the KDD process by applying the intelligent agents for each process steps. In addition, this research only considers the Iran society; hence, it cannot be generalized to other nations, and it may need further research in other countries and to be implemented in real-world business domains.

This research helps organizations to adopt a proposed model and implement a KDD process to advantage the valuable knowledge that exists in their data resources.

This paper aims to present an overview of the challenges encountered in integrating visual search interfaces into digital libraries and repositories. These challenges come in various forms, including information visualisation, the use of knowledge organisation systems and metadata quality. The main purpose of this study is the identification of criteria for the evaluation and integration of visual search interfaces, proposing guidelines and recommendations to improve information retrieval tasks with emphasis on the education-al context.

The information included in this study was collected based on a systematic literature review approach. The main information sources were explored in several digital libraries, including Science Direct, Scopus, ACM and IEEE, and include journal articles, conference proceedings, books, European project reports and deliverables and PhD theses published in an electronic format. A total of 142 studies comprised the review.

There are several issues that authors did not fully discuss in this literature review study; more specific, aspects associated with access of digital resources in digital libraries and repositories based on human computer interaction, i.e. usability and learnability of user interfaces; design of a suitable navigation method of search based on simple knowledge organisation schemes; and the use of usefulness of visual search interfaces to locate relevant resources.

The main steps for carrying out a systematic review are drawn from health care; this methodology is not commonly used in fields such as digital libraries and repositories. The authors aimed to apply the fundamentals of the systematic literature review methodology considering the context of this study. Additionally, there are several aspects of accessibility that were not considered in the study, such as accessibility to content for disabled people as defined by ISO/IEC 40500:2012.

No other systematic literature reviews have been conducted in this field. The research presents an in-depth analysis of the criteria associated with searching and navigation methods based on the systematic literature review approach. The analysis is relevant for researchers in the field of digital library and repository creation in that it may direct them to considerations in designing and implementing visual search interfaces based on the use of information visualisation.

Recent developments in global commerce have witnessed the advent of the virtual enterprise#. Groups of companies are forming short‐term relationships to collaborate on one‐off projects. Typically these enterprises form a consortium to bid for a project for which they do not have the capability of winning as individual concerns. In order that the virtual enterprise operates effectively the systems which underpin the separate enterprises must be capable of interoperation#. One means of achieving this is by the adoption of suitable international approved standards. Addresses this issue by considering the requirements placed on standards activities for the support of virtual enterprises. Then proposes a means by which current standards can be classified and scoped within an overall framework. Considers the various approaches taken within these standards activities and proposes some strategies for future development.

Complex system modeling requires not only understanding of modeling framework but also domain knowledge of the system. The purpose of this paper is to present an approach which separates the domain knowledge from the modeling framework with different views.

By establishing the mechanism of association and fusion among the views, the description and characterization of system from different aspect and point of view can form a complete system model. Based on the approach, a modeling and simulation (M&S) platform named SimFaster is developed. Modeling environment and simulation engine are the most important parts of the platform. The modeling environment provides multi‐views and multi‐layers to help the developers to modeling the structure, layers, composition, behavior, and interactions of an application system. The simulation engine provides mechanism of integration and interaction for components and objects, and provides runtime support for the concepts and terms from modeling environment. The simulation engine organizes the objects in the memory of distributed system as reflective object database system, so it is repository centered architecturally.

Based on the approach of multi‐views modeling, the platform is a flexible framework and supports top‐down design, model reuse and interoperation, dynamic refinement of models, corporative design among different users in different stages, and the rebuilt of application rapidly.

This paper deals with high‐level models of the complex systems.

This platform helps to design, modeling, and simulation complex system (especially for weapon combat system). It can participate into all the stages of the development of complex product/system, and can support the validation, refinement, optimization of models, and systems.

This paper presents a multi‐views modeling approach for the modeling of complex system.

This paper seeks to document the initial attempt to effect interoperation between a virtual (distributed) union catalogue of bibliographical records and a centralised catalogue of archival collection descriptions. Its specific purpose is to discuss the proposed technical solution and the anticipated usage and usability of the resultant service.

The paper's research subjects were the M25 Consortium's InforM25 union catalogue and the Archives in London and the M25 Area's dual AIM25 databases. The architectural model to effect their interoperation utilised the Z39.50 (information‐retrieval protocol) functionality of the two services plus the latter's separate web application database.

Two core findings are reported. First, that technical interoperability between the Z39.50 elements of the nascent system was successfully achieved. Second, however, that semantic interoperability was significantly impaired by inconsistencies in the interpretation and processing of search types by the two AIM25 databases.

This exploratory research project was concluded in 2003. Since then, what might be termed the next‐generation Z39.50 protocol, Search & Retrieve Web Service (SRW), has been developed. The paper would suggest that the interoperation of InforM25 and AIM25 forms a test‐bed application scenario for SRW.

Regardless of which information‐retrieval protocol is used, a model for controlling semantic interoperability will be an essential requirement. It is recommended that this model be derived from the ISO‐registered Bath Profile.

This paper reiterates the central importance of the need to achieve semantic interoperability in distributed search environments, and should therefore be of interest to those concerned with the funding and creation of any such regional, national or international initiatives.

The purpose of this research is to describe a system to support querying across distributed digital libraries created in heterogeneous metadata schemas, without requiring the availability of a global schema.

The advantages and weaknesses of ontology based applications were investigated and have justified the utility of inferential rules in expressing complex relations between metadata terms in different metadata schemas. A process for combining ontologies and rules for specifying complex relations between metadata schemas were designed. The process was collapsed into a set of working phases and provides examples to illustrate how to interrelate two similar bibliographic ontology fragments for further query reformulation.

Equipping ontologies with inferencing power can help describe more complex relations between metadata terms. This approach is critical for properly interpreting queries from one ontology to another.

A prototype system was built based on examples instead of practical experience.

The approach assumes that relations between metadata sets, or ontologies in the approach, are provided by domain experts with/without ontology tools.

A new approach has been proposed for facilitating heterogeneous metadata interoperation in digital libraries as a way of empowering ontologies with rich reasoning capabilities. The traditional approach assumes a global schema controlled by a central or virtual server to provide mapping between local and external metadata schemas. A more flexible and dynamic environment was studied, i.e. P2P‐based digital libraries, where peers may join and leave freely.

The present paper aims to describe an approach for building the Semantic Web rules for interoperation between heterogeneous learning objects, namely course outlines from different universities, and one of the rule uses: identifying (in)compatibilities between course descriptions.

As proof of concept, a rule set is implemented using the rule markup language (RuleML), a member of XML‐based languages. This representation in RuleML allows the rule base to be platform‐independent, flexibly extensible and executable.

The RuleML source representation is easily converted to other XML‐based languages (such as RDF, OWL and XMI) as well as incorporated into, and extracted from, existing XML‐based repositories (such as IEEE LOM and CanLOM) using XSL Transformations (XSLT).

The RuleML facts and rules represented in the positional slotted language are used by the OO jDREW reasoning engine to detect and map between semantically equivalent components of course outlines as the key step in their interoperation. In particular, this will enable the precise delivery of learning objects (e.g. course outlines) from repositories to a specific learner's context.

Although the particular scenario is discussed in the present paper, the proposed approach can be applied to other tasks related to enabling semantic interoperability.