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Linking Open Data (LOD) provides a vast amount of well structured semantic information, but many inconsistencies may occur, especially if the data are generated with the help of automated methods. Data cleansing approaches enable detection of inconsistencies and overhauling of affected data sets, but they are difficult to apply automatically. The purpose of this paper is to present WhoKnows?, an online quiz that generates different kinds of questionnaires from DBpedia data sets.

Besides its playfulness, WhoKnows? has been developed for the evaluation of property relevance ranking heuristics on DBpedia data, with the convenient side effect of detecting inconsistencies and doubtful facts.

The original purpose for developing WhoKnows? was to evaluate heuristics to rank LOD properties and thus, obtain a semantic relatedness between entities according to the properties by which they are linked. The presented approach is an efficient method to detect popular properties within a limited amount of triples. Ongoing work continues in the development of sound property ranking heuristics for the purpose of detecting the most relevant characteristics of entities.

WhoKnows? uses the approach of “Games with a Purpose” to detect inconsistencies in Linked Data and score properties to rank them for sophisticated semantic search scenarios.

Today's requirements concerning successful learning support comprise a variety of application scenarios. Therefore, the development of supporting software preferably aims at modular design. This article discusses requirements regarding flexibility of e‐learning systems and presents important principles, which should be met by successful systems. The purpose of this paper is to achieve a highly flexible system as follows: first of all, the system itself should be capable of easily being integrated into other systems. Second, the approach should allow easy integration of new components, respectively, existing resources without the need to adapt the whole system.

Guided by the results of previous projects and by various experiences in online education the importance of modular structures of an effective architecture as well as for the system usage were discovered. Accordingly, existing e‐learning systems were examined and some deficiency regarding support of synchronous learning activities were found.

The architecture of the Meeting Room Platform (MRP) is introduced as an example implementation of synchronous communication and collaboration systems. In addition to fulfilling explained flexibility requirements, it is configurable in a way so that the user can choose a set of services he wants to provide in online meetings.

With aforementioned aspects of flexibility in mind, the concept of the MRP system differs from existing systems and constitutes a new approach in designing synchronous e‐learning environments. Finally, various use cases as described in this article show the benefit of this approach more detailed.

Learning Chinese is unquestionably very important and popular worldwide with the fast economic growth of China. To most foreigners and also local students, one of the major challenges in learning Chinese is to write Chinese characters in correct stroke sequences that are considered as significant in the Chinese culture. However, due to the potentially complicated structures of Chinese characters together with their stroke sequences, there are very few character recognition techniques that can effectively tackle the involved training task in an efficient and flexible manner. The purpose of this paper is to propose an intelligent and flexible e‐learning software based on learning objects to facilitate the learning of writing Chinese characters in correct stroke sequences.

The paper adopts an incremental approach in designing the overall system architecture to emphasize on extendibility of the system. The basic features of the system including the evolution and pronunciation of each Chinese character can be embedded as a part of the learning object metadata to enhance students' understanding of Chinese characters. To demonstrate the feasibility of this proposal, a prototype of the proposed e‐learning software was built on smartphones such that students can learn anytime and anywhere.

From the empirical evaluation of the e‐learning prototype for learning to write correct Chinese characters on mobile devices, it was found that foreign students can learn and practise the writing more effectively anytime and anywhere on their mobile devices after classes. Some initial positive feedback was collected. Furthermore, a more careful and thorough evaluation is planned to be conducted in relevant courses for foreign students in the upcoming Fall semester.

This proposal represents the first attempt to reduce the complexity while increasing the extendibility of the e‐learning software to learn Chinese through learning objects running on smartphones or mobile devices in general. More importantly, it opens up numerous opportunities for further investigations including possible integrations with other existing Chinese e‐learning systems.

Presently, searching the internet for learning material relevant to ones own interest continues to be a time‐consuming task. Systems that can suggest learning material (learning objects) to a learner would reduce time spent searching for material, and enable the learner to spend more time for actual learning. The purpose of this paper is to present a system of “hybrid search and delivery of learning objects to learners”.

This paper presents a system of “hybrid search and delivery of learning objects to learners” that combines the use of WordNet for semantic query expansion and an approach to personalized learning object delivery by suggesting relevant learning objects based on attributes specified in the learner's profile. The learning objects are related to the learner's attributes using the IEEE LOM and IMS LIP standards. The system includes a web crawler to collect learning objects from existing learning object repositories, such as NEEDS or SMETE.

The presented HSDLO system has the ability to accurately search and deliver learning objects of interest to a learner as well as adjust the learner's profile over time by evaluating the learner's preferences implicitly through the learning object selections.

Since real LOM's from SMETE are not much populated, the system is tested with a limited set of attributes. The system is evaluated using a test bench rather than real learners.

The paper proposes a combination of three search techniques in one system as well an architectural solution which can be used for other types of online search engines.

The purpose of the study is to explore the perspectives of students, teachers, and parents in using Web 2.0 technologies.

This study is based on the focus group interview data collected from two groups of students, two groups of teachers, and one group of parents in a secondary school in Hong Kong.

The findings indicate that there is no divide in terms of access to computer hardware and the Internet. However, the results suggest that there are different types and levels of usage given to such technologies. The students were found to use Web 2.0 technologies very frequently but seldom for educational purposes. The parents appeared to know less about the Web 2.0 technologies although they are more concerned about the influence of such technologies on their children's development. The teachers used Web 2.0 technologies merely for observing students' online behaviors.

Due to limited sample participants and the weakness of the focus group interview research method itself, the authors could not suggest that these findings should reflect the whole scene because it was just a reflection of a case under a specific context. In the future, more empirical studies with a larger sample and both quantitative and qualitative research methods must be needed in the future to understand the problem well.

This study attempts to contribute to the literature on home‐school connection in education for the benefit of student development. Joint efforts must be made by school and home together to ensure the positive impact of Web 2.0 technologies on students.

These typologies draw attention to the ways how parents, students and teachers make use of Web 2.0 technologies.

This paper was an original research based on focus group interview data that fulfil an identified need to study how teachers, students, and parents are using the Web 2.0 technology.

In the process of the implementation of the eBologna program and the recent change of the university system, curricula at German universities have been redesigned; courses have been condensed and learning content has been re‐structured into modules, each of which requires an evaluation. Simultaneously, skills required for working in research and development changed; knowledge of mathematical or numerical algorithms and programming skills play an increasingly important role in the daily job routine of the working engineer. The purpose of this paper is to describe, implement and test a new course on numerical simulations along with a new software infrastructure, addressing this predicament.

To support learning by practical exercises, engineering faculties, the faculties of mathematics and physics, and the Computing Center of the University of Stuttgart setup a project for implementing an online programming lab for teaching the required skills. The focus of this project is to provide easy access to the necessary software tools, to avoid the overhead of installation and maintenance, and to seamlessly integrate these tools into the e‐learning infrastructure of the university.

Student evaluations showed a high acceptance of the project and the developed software is now well‐accepted and taken as a self‐evident part of the homework routine.

An online programming lab that integrates seamlessly into the e‐learning infrastructure of the university and is platform and system independent by following the established SCORM standard.

The purpose of this study is to review the application of semantic technologies in cultural heritage (STCH) to achieve interoperability and enable advanced applications like 3D modeling and augmented reality by enhancing the understanding and appreciation of CH. The study aims to identify the trends and patterns in using STCH and provide insights for scholars and policymakers on future research directions.

This research paper uses a bibliometric study to analyze the articles published in Scopus and Web of Science (WoS)-indexed journals from 1999 to 2022 on STCH. A total of 580 articles were analyzed using the Biblioshiny package in RStudio.

The study reveals a substantial increase in STCH publications since 2008, with Italy leading in contributions. Key research areas such as ontologies, semantic Web, linked data and digital humanities are extensively explored, highlighting their significance and characteristics within the STCH research domain.

This study only analyzed articles published in Scopus and WoS-indexed journals in the English language. Further research could include articles published in other languages and non-indexed journals.

This study extensively analyses the research published on STCH over the past 23 years, identifying the leading authors, institutions, countries and top research topics. The findings provide guidelines for future research direction and contribute to the literature on promoting, preserving and managing the CH globally.

This BMW case aims to show how many of the company's practices that accord with principles espoused in the authors' sustainable leadership model contributed to its recovery after the global financial crisis (GFC).

This case illustrates how BMW institutes the 23 honeybee leadership principles and practices described in the authors' 2011 article “Sustainable leadership: practices for enhancing business resilience and performance” in Strategy & Leadership.

The examples provide a glimpse into the honeybee practices that enabled one firm to emerge successfully from the GFC. Regarding the five performance outcomes on the sustainable leadership pyramid, BMW clearly exceeded expectations in 2010 on financial returns and shareholder value.

Clearly BMW provides long‐term value for all its stakeholders – suppliers, shareholders, employees and customers – as is expected of a sustainable enterprise. BMW's business model, innovative approach to problem‐solving and adherence to sustainable leadership practices underpin a capacity to survive crises such as the GFC.

This is a rare case study of corporate‐wide sustainability practices and principles in operation. Informed by the examples of best practices at BMW, managers at other companies can envision how honeybee management might be implemented at their firm.