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The incremental radial forging process employs several tens or hundreds of incremental local strokes, so that the entire process is difficult to analyze due to large computation time and large computer memory. The objective of this work is to propose a new numerical scheme of the finite element method, automatic expansion of domain (AED), to reduce computation time and computer memory. In the AED scheme, an effective analysis domain in each local forging step is defined and then the domain is automatically expanded in accordance with the repeated process. In order to verify the validity of the criterion for the AED scheme and the applicability of the AED scheme, two‐dimensional incremental plane‐strain forging process is first analyzed using the proposed scheme with various criteria and full domain. In addition, three‐dimensional incremental radial forging process is analyzed to verify the applicability of the proposed scheme to a practical incremental forging process.

The conditions that domain analysis becomes an academic school of information science (IS) are mature. Domain analysis is one of the most important foundations of IS. The purpose of this paper is to analyze and discuss metatheoretical and theoretical issues in the domain analytic paradigm in IS.

This paper conducts a systematic review of representative publications of domain analysis. The analysis considered degree theses, journal articles, book chapters, conference papers and other materials.

Domain analysis maintains that community is the new focus of IS research. Although domain analysis centers on the domain and community, theoretical concerns on the social and individual dimensions of IS are inherent in it by its using sociology as its important approach and socio-cognitive viewpoint. For these reasons domain analysis can integrate social–community–individual levels of IS discipline as a whole. The role of subject knowledge in IS is discussed from the perspective of domain analysis. Realistic pragmatism that forms the philosophical foundation of domain analysis is argued and the implications of these theories to IS are presented.

The intellectual evolving landscape of domain analysis during a quarter century is comprehensively reviewed. Over the past twenty-five years, domain analysis has established its academic status in the international IS circle. Being an important metatheory, paradigm and methodology, domain analysis becomes the theoretical foundation of IS research. This paper assesses the current state of domain analysis and shows the contributions of domain analysis to IS. It also aims to inspire further exploration.

The purpose of this paper is to discuss and clarify a possible realist foundation of domain analysis and knowledge organization, and in this vein, investigate into how the concept of information is to be understood at a lower but necessary conceptual level in domain analysis.

The paper investigates into the foundation of domain analysis as formulated by Birger Hjørland, and develops a realist framework for domain analytical information and knowledge organization based on critical realism.

Information can meaningfully be considered as the prerequisite for domain analysis, and critical realism may provide for a realist ontological framework for domain analysis and knowledge organization.

The paper includes new insights into the foundation of information and domain analysis.

A software product line (SPL) captures commonalities and variations (C&V) within a family of systems. Although, feature‐oriented approaches have been proposed for building product lines, none of them provide a systematic approach for identifying features. This paper proposes a domain analysis method for creating SPL based on scenarios, goals and features. In particular, the paper presents a domain requirements model (DRM) that integrates features with goals and scenarios, and a domain requirements modeling method that uses the DRM. This approach has been applied to the home integration system (HIS) domain to demonstrate its feasibility. This approach makes it possible to systematically identify features and provide the rationale for both features and C&V.

This paper aims to understand the scholarly contributions to mobile advertising by analyzing the publishing trend from 2001 to 2022 from the documents indexed in the Scopus database.

A total of 348 documents were selected for analysis published between 2001 and 2022. The garnered data was examined using a bibliometric domain mapping analysis technique using computer-aided software R and VOSviewer and manually exploring the articles.

The results of this study discover the most prolific authors in the mobile advertising domain and other seminal works carried out by productive researchers in the field of mobile advertising. The journals in which most instrumental research studies have been published are also identified. Moreover, the co-citation, bibliometric coupling and co-occurrence analysis of literature are also carried out to draw themes concerning mobile advertising research that have been identified and categorized.

This research analyzed a singular, exclusive database, “Scopus,” which limited the sectoral scope of publications. Since the present research uses bibliometric analysis, these studies cannot conduct sentiment analysis of the chosen studies.

Marketing professionals looking after technological advancements may use this study to understand the broad scope of mobile advertising applicability across diverse domains and discuss the trade-offs that may address significant bottlenecks in mobile advertising applications.

To the best of the authors’ knowledge, this paper is one of the latest attempts in recent times to understand the research work in mobile advertising using a bibliometric domain analysis approach.

What kind of knowledge is needed by information specialists working in a specific subject field like medicine, sociology or music? What approaches have been used in information science to produce kinds of domain‐specific knowledge? This article presents 11 approaches to domain analysis. Together these approaches make a unique competence for information specialists. The approaches are: producing literature guides and subject gateways; producing special classifications and thesauri; research on indexing and retrieving specialities; empirical user studies; bibliometrical studies; historical studies; document and genre studies; epistemological and critical studies; terminological studies, LSP (languages for special purposes), discourse studies; studies of structures and institutions in scientific communication; and domain analysis in professional cognition and artificial intelligence. Specific examples and selective reviews of literature are provided, and the strengths and drawbacks of each of these approaches are discussed.

This paper aims to obtain the domain of the textual content generated by users of online social network (OSN) platforms. Understanding a users’ domain (s) of interest is a significant step towards addressing their domain-based trustworthiness through an accurate understanding of their content in their OSNs.

This study uses a Twitter mining approach for domain-based classification of users and their textual content. The proposed approach incorporates machine learning modules. The approach comprises two analysis phases: the time-aware semantic analysis of users’ historical content incorporating five commonly used machine learning classifiers. This framework classifies users into two main categories: politics-related and non-politics-related categories. In the second stage, the likelihood predictions obtained in the first phase will be used to predict the domain of future users’ tweets.

Experiments have been conducted to validate the mechanism proposed in the study framework, further supported by the excellent performance of the harnessed evaluation metrics. The experiments conducted verify the applicability of the framework to an effective domain-based classification for Twitter users and their content, as evident in the outstanding results of several performance evaluation metrics.

This study is limited to an on/off domain classification for content of OSNs. Hence, we have selected a politics domain because of Twitter’s popularity as an opulent source of political deliberations. Such data abundance facilitates data aggregation and improves the results of the data analysis. Furthermore, the currently implemented machine learning approaches assume that uncertainty and incompleteness do not affect the accuracy of the Twitter classification. In fact, data uncertainty and incompleteness may exist. In the future, the authors will formulate the data uncertainty and incompleteness into fuzzy numbers which can be used to address imprecise, uncertain and vague data.

This study proposes a practical framework comprising significant implications for a variety of business-related applications, such as the voice of customer/voice of market, recommendation systems, the discovery of domain-based influencers and opinion mining through tracking and simulation. In particular, the factual grasp of the domains of interest extracted at the user level or post level enhances the customer-to-business engagement. This contributes to an accurate analysis of customer reviews and opinions to improve brand loyalty, customer service, etc.

This paper fills a gap in the existing literature by presenting a consolidated framework for Twitter mining that aims to uncover the deficiency of the current state-of-the-art approaches to topic distillation and domain discovery. The overall approach is promising in the fortification of Twitter mining towards a better understanding of users’ domains of interest.

Assessing airport service performance requires understanding of all passenger processing and discretionary activities at airport passenger terminals – a need that has not yet been addressed in the research to date. This paper aims to address this shortcoming in evaluating overall airport service based on passenger experience from departure to arrival.

Comparative analysis over 40 airport models, including their indicators and configuration of service measures, was undertaken in a previous work to identify key-design requirements in assessing airport service performance based on passenger experience (Wiredja et al., 2015). Based on these requirements, this paper constitutes the development of a passenger-centred model covering all service areas from departure to arrival terminals. The newly developed model is then examined using factor and regression analyses by involving 215 airline passengers from 22 world’s international airports.

Overall service performance is understood as a function of combined sub-performances of two groups of airport domains: processing domains and non-processing domains. The overall result demonstrated that the two sets of service factors and their relevant attributes had significant impact on overall service performance at processing and non-processing domains.

The proposed model applies a set of dynamic performance measures that provide flexibility. These measures are adjustable depending on the needs. Adding or replacing measures defines the specificity of the domains and performances assessed. The model components can be modified in respective service attributes when passenger needs or priorities change. The only constant component is user-centred indicators (in this research, Passenger-centred indicators).

This research has generated new insights and knowledge that directly contribute to the assessment of airport service performance. The novelty of this research is the development of a passenger-centred approach in evaluating overall airport service based on passenger experience. This passenger-driven model provides a more integrated and robust approach in this field than previously available.

The purpose of this paper is to develop an easy-to-implement and accurate fast boundary element method (BEM) for solving large-scale elastodynamic problems in frequency and time domains.

A newly developed kernel-independent fast multipole method (KIFMM) is applied to accelerating the evaluation of displacements, strains and stresses in frequency domain elastodynamic BEM analysis, in which the far-field interactions are evaluated efficiently utilizing equivalent densities and check potentials. Although there are six boundary integrals with unique kernel functions, by using the elastic theory, the authors managed to accelerate these six boundary integrals by KIFMM with the same kind of equivalent densities and check potentials. The boundary integral equations are discretized by Nyström method with curved quadratic elements. The method is further used to conduct the time-domain analysis by using the frequency-domain approach.

Numerical results show that by the fast BEM, high accuracy can be achieved and the computational complexity is brought down to linear. The performance of the present method is further demonstrated by large-scale simulations with more than two millions of unknowns in the frequency domain and one million of unknowns in the time domain. Besides, the method is applied to the topological derivatives for solving elastodynamic inverse problems.

An efficient KIFMM is implemented in the acceleration of the elastodynamic BEM. Combining with the Nyström discretization based on quadratic elements and the frequency-domain approach, an accurate and highly efficient fast BEM is achieved for large-scale elastodynamic frequency domain analysis and time-domain analysis.

The purpose of this paper is to understand the information phenomenon through the means of informational practice – the way of acting that gives identity to a group – in a social field and knowledge domain.

By relating Pierre Bourdieu's sociology of culture to the domain analysis approach of Birger Hjørland, the intention was to achieve a comprehensive interpretation of the structure which generates the discourse communities and, also, of the social structure from which they are derived. All of these form the conditions for understanding the efforts, objectives and interests of the actors in the social field that causes them to develop determined informational practices. The field of architecture was elected for analysis.

The conclusions show that both the products and subjects of a domain of knowledge, inserted in social fields, are expressions of their informational practice.

The authors believe the theoretical model based on Bourdieu and Hjørland's concepts, here built to analyze the architecture domain, may be used to analyze other domains.

Domain analysis is employed as an approach to the study of the information aspects but here supported by the sociological concepts of Bourdieu. Thus, it is possible to understand what, how and why the informational practices are constituted inside a domain of knowledge, and, fundamentally, interpret the historical, cultural, and social dimensions that influence the construction of information.