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The integration and retrieval of the vast data have attracted sufficient attention, thus the W3C workgroup releases R2RML to standardize the transformation from relational data to semantic-aware data. However, it only provides a data transform mechanism to resource description framework (RDF). The generation of mapping alignments still needs manual work or other algorithms. Therefore, the purpose of this paper is to propose a domain-oriented automatic mapping method and an application of the R2RML standard.

In this paper, materials science is focussed to show an example of domain-oriented mapping. source field concept and M3B2 (Metal Materials Mapping Background Base) knowledge bases are established to support the auto-recommending algorithm. As for the generation of RDF files, the idea is to generate the triples and the links, respectively. The links of the triples follow the object-subject relationship, and the links of the object properties can be achieved by the range individuals and the trail path.

Consequently based on the previous work, the authors proposed Engine for Metal Materials Mapping Background Base (EM3B2), a semantic integration engine for materials science. EM3B2 not only offers friendly graphical interfaces, but also provides auto-recommending mapping based on materials knowledge to enable users to avoid vast manually work. The experimental result indicates that EM3B2 supplies accurate mapping. Moreover, the running time of E3MB2 is also competitive as classical methods.

This paper proposed EM3B2 semantic integration engine, which contributes to the relational database-to-RDF mapping by the application of W3C R2RML standard and the domain-oriented mapping.

The purpose of this paper is to accomplish a bibliometric analysis, investigate the underlying knowledge structure, founding and development, and evolution of the Journal of Knowledge Management (JKM) through its articles published between 1997 and 2020.

A total of 1,346 research papers from JKM were selected and VantagePoint^® software was used to generate bubble maps, auto-correlation maps, and matrix maps through techniques such as principal component analysis (PCA) and natural language processing (NLP). The analysis gives insights about the foundation of knowledge structure, its evolution and the development of JKM.

The systematic mapping of research illustrates topics emerging as new offshoots, global favourites, saturated and plateaued and reached academic maturity. The USA, the UK, Australia, Spain, Italy, China, Canada, Germany, and France have contributed the most to JKM. This paper provides a robust roadmap for future research investigation of JKM.

The authors humbly admit the possibility of overlooking some research papers while evaluating and filtering the database of JKM. The research outcome summarizes 23 years, subject to information retrieval from archival files.

This research is a detailed bibliometric analysis explaining paradigm shifts in the body of knowledge of JKM. The bibliometric outcomes can act as beacons for future researchers and academicians to revisit the current trends that shape the domain of knowledge management, particularly for the JKM audience with a focus on contemporary topics of research interest.

This is a unique endeavour to accomplish a systematic bibliometric analysis of the JKM for two decades, offering insights about its structural body of knowledge through an overview of the chronology of scholarly development in the field of knowledge management.

Amidst the plethora of mass communication methods that technology bestowed business with, print advertisements still remain an effective and widely utilized advertising tool, and retain a diachronically venerable position in international marketing practice. Bar and transcending mere academic fascination or curiosity, this research provides insights into the past, an understanding of the present and an outlook into the future. In this vein, through a methodical and comprehensive critical review of extant literature on print advertisements since 1965, this research aims to identify gaps in extant knowledge, to map its trends and divergences, to trace its paradigm shifts and to ultimately develop agendas for truly significant future research.

This spatial-temporal study reviews 256 methodically selected articles, using VantagePoint software, and adopts a novel methodology through natural language processing (NLP), text mining, auto-correlation maps, and bubble maps to conduct and present a robust analysis and explicit findings.

Using also the VOSviewer for density and network visualization, the results identify the predominant literature themes and, conversely, the relatively under-researched areas, and provide a more insightful collective interpretation of extant works, while laying the foundation for future research of greater value and significance to academia and industry.

This study transcends the partial and/or limited analyses and perspectives of extant literature to present scholars with the first comprehensive and long term meta-analysis or systematic study of print advertising, with explicit findings of both scholarly and executive worth.

Lean manufacturing (LM) plays a major role in eliminating wastes (activities/resources) in a manufacturing organization. Value stream mapping (VSM) is one of the critical tools in LM which will help in identifying wastes in materials and information flow in a specific product family. The purpose of this paper is to illustrate the significance of VSM in the auto-ancillary industry in enhancing the productivity and the quality.

A case study approach is followed to demonstrate the significance of VSM in identifying various wastes in the auto-ancillary industry. The study has been performed by implementing seven critical steps. A product family is identified based on the customer demand and a cross functional team with specialized experts was formed. The overall processes with sequence are mapped using process flowchart. A cross functional team has been formed to develop the current state of VSM and perform a critical analysis to identify shortcomings. An investigation was performed to overcome the existing shortcomings by identifying opportunities. The relevant kaizens to improve the current state have been proposed. The cross functional team of experts have performed a feasibility study on implementation of proposed kaizens. Finally, a future state of VSM after implementation of feasible kaizens has been reported.

The results show that future state of VSM brings out the positive impact with respect to process ratio, TAKT time, process inventory level, total lead time and bottleneck time. The proposed improvement also helped to achieve higher customer satisfaction in terms of increased quality, reduced cost and on time delivery.

Present study is focussed on a single product family cell in one of the auto-component organization.

Helps practitioners in the auto-component industry to implement the VSM effectively in their organization.

Many tools are in use for representing and analyzing business processes, but little information is available on how these tools are used in practice by process design teams. This paper analyzes one process mapping workshop in detail. Over three days, two facilitators and five representatives of the organization and business functions redesigned the core auto insurance business at a mid‐size Swiss insurance company. The mapping tool used during the session was IDEF0. The purpose of this paper is to share our experiences in using IDEF0 in the workshop setting. In addition to a narrative description of the workshop, we offer our observations on how such workshops can be conducted effectively and on the strengths and weaknesses of IDEF0 in this context. The final business process map did not emerge from a logical, linear development process. Rather, the workshop was characterized by constant refinement and development of an existing structure, punctuated by an occasional radical idea that forced the group to throw out the current process and start over. The hierarchical approach of IDEF0 proved critical in keeping the group focused on its task of abstracting the essence of the process itself from the details of current practice. The mapping tool proved to be less convenient for representing a sequence of events in time, multiple cases, and conditional flows of work.

This paper aims to address the application of lean manufacturing using value stream mapping (VSM) concepts in an auto‐parts manufacturing organization. Using value stream concepts, both current and future states maps of the organization's shop floor scenarios have been discussed to identify sources of waste between the existing state and the proposed state of the selected organization for improving its competitiveness.

VSM process symbols were used to discuss lean implementation stages in the auto‐parts manufacturing unit. Current states of the selected manufacturing unit were prepared with the help of VSM symbols and improvement areas were identified. A few modifications in current state were made and, with these modifications, a future state map is suggested.

After comparison of the current and future states of the selected manufacturing unit, it has been found that there was 69.41 percent reduction in cycle time, 18.26 percent reduction in work in‐process inventory and 24.56 percent reduction in production lead times for the replacement ball product. While for Weldon ball end product 51.87 percent reduction in cycle time, 21.51 percent reduction in work in‐process inventory, 25.88 percent reduction in lead time was noted.

The findings of this case study are valid due to limited selection of products only.

This paper depicts a true picture of the implementation of lean manufacturing tools in an organization.

The purpose of this paper is to explore external, mediator and moderator factors that influence tourist intention to use GPS-based navigation apps from the perspective of spatiotemporal tourist behavior (STTB).

A total of 636 valid questionnaires were selected from tourists visiting Lijiang Ancient Town. The partial least squares-structural equation modeling with the SmartPLS approach was adopted to estimate and validate the model.

The results of this paper showed that wayfinding efficiency, sensation-seeking behavior and spatial ability (SA) influence tourists’ intention to use (IU) navigation apps. A mediator of perceived location accuracy between SA and IU has been found. A multigroup generation moderator is verified in the model.

This paper provides a better understanding of the relationship between tourist spatiotemporal behavior and navigation apps, presenting practical suggestions for app developers, destination managers and vacation planners.

While the effects of information technology on tourist behavior have become a topic of interest among tourism industry stakeholders, this paper examines the effects of STTB on the acceptance of navigation apps in reverse, which enriches the theoretical framework.

本文从时空旅游行为 (STTB) 的角度探讨了影响游客使用基于 GPS 的导航应用程序的外部、中介和调节因素。

本研究共从丽江古城旅游者中抽取了636份有效问卷。采用 SmartPLS 方法的偏最小二乘结构方程建模 (PLS-SEM) 来估计和验证模型。

研究结果表明, 寻路效率 (WE)、感觉寻求行为 (SSB) 和空间能力 (SA) 会影响游客的使用意向 (IU) 导航应用程序。研究还发现感知位置准确度 (PLA)是空间能力 (SA) 和使用意图 (IU) 之间的中介变量。世代在多组比较模型中作为调节变量。

本文提供了对旅游时空行为与导航应用程序之间关系的更好理解, 为应用程序开发人员、目的地管理者和度假规划者提供了实用建议。

虽然信息技术对游客行为的影响已成为旅游业利益相关者感兴趣的话题, 但本文研究了 STTB 对导航应用程序接受度的影响, 从而丰富了理论框架。

The task of internet intrusion detection is to detect anomalous network connections caused by intrusive activities. There have been many intrusion detection schemes proposed, most of which apply both normal and intrusion data to construct classifiers. However, normal data and intrusion data are often seriously imbalanced because intrusive connection data are usually difficult to collect. Internet intrusion detection can be considered as a novelty detection problem, which is the identification of new or unknown data, to which a learning system has not been exposed during training. This paper aims to address this issue.

In this paper, a novelty detection‐based intrusion detection system is proposed by combining the self‐organizing map (SOM) and the kernel auto‐associator (KAA) model proposed earlier by the first author. The KAA model is a generalization of auto‐associative networks by training to recall the inputs through kernel subspace. For anomaly detection, the SOM organizes the prototypes of samples while the KAA provides data description for the normal connection patterns. The hybrid SOM/KAA model can also be applied to classify different types of attacks.

Using the KDD CUP, 1999 dataset, the performance of the proposed scheme in separating normal connection patterns from intrusive connection patterns was compared with some state‐of‐art novelty detection methods, showing marked improvements in terms of the high intrusion detection accuracy and low false positives. Simulations on the classification of attack categories also demonstrate favorable results of the accuracy, which are comparable to the entries from the KDD CUP, 1999 data mining competition.

The hybrid model of SOM and the KAA model can achieve significant results for intrusion detection.

You can collect huge masses of data about your customers, but if you don't sort it, it won't do you any good. Mapping software may be just what you need.

This paper proposes an integrated value stream mapping (VSM) for a complex assembly line to improve the leanness of a complex automotive component manufacturing organization.

This study depicts the application of VSM at the case organization, where top management is concerned about the challenges of higher cycle time and lower productivity. Gemba walks were conducted to establish the concept of “walk the flow, create the flow” along the assembly line. The multi-hierarchical cross-functional team developed the current value stream map to know the “as-is” state. Then, the team analysed the current VSM and proposed the future VSM for the “to-be” state.

The integrated VSM shows different processes and work cells, various wastes, non-value-added activities, cycle time, uptime and the material and information flows for both products of the assembly line on the same map. The integrated VSM reduced cycle time, non-value-added activities, work in process inventory and improved line efficiency and production per labour hour for both the products, simultaneously.

The limitation of the study is that the study focussed only on the application of VSM for one complex assembly only. Future research may be conducted using the developed integrated VSM approach in other complex production environments.

Managers can identify and reduce system waste by incorporating the concept of integrated VSM in a complex production or assembly environment where two or more products are being manufactured/assembled with low similarity.

The application of VSM for assembly lines is highly challenging because of merging flows, a large number of child parts in the lines and assembly of more than one product on the same line.