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Nowadays, the use of WCMS (web content management systems) is widespread. The conversion of this infrastructure into its semantic equivalent (semantic WCMS) is a critical issue, as this enables the benefits of the semantic web to be extended. The purpose of this paper is to present a FLERSA (Flexible Range Semantic Annotation) for flexible range semantic annotation.

A FLERSA is presented as a user‐centred annotation tool for Web content expressed in natural language. The tool has been built in order to illustrate how a WCMS called Joomla! can be converted into its semantic equivalent.

The development of the tool shows that it is possible to build a semantic WCMS through a combination of semantic components and other resources such as ontologies and emergence technologies, including XML, RDF, RDFa and OWL.

The paper provides a starting‐point for further research in which the principles and techniques of the FLERSA tool can be applied to any WCMS.

The tool allows both manual and automatic semantic annotations, as well as providing enhanced search capabilities. For manual annotation, a new flexible range markup technique is used, based on the RDFa standard, to support the evolution of annotated Web documents more effectively than XPointer. For automatic annotation, a hybrid approach based on machine learning techniques (Vector‐Space Model + n‐grams) is used to determine the concepts that the content of a Web document deals with (from an ontology which provides a taxonomy), based on previous annotations that are used as a training corpus.

This work seeks to present a reading annotation and knowledge sharing tool, which can annotate a web page with HTML format archived by the Taiwan libraries' history digital library based on Web 2.0 technologies

This work adopted DSpace, an open‐source institutional repository system, to implement a Taiwan Digital Library History Library with the reading annotation tool for knowledge archiving and sharing services. A quasi‐experimental design method was employed to randomly assign participants to an experimental group and control group to evaluate differences in the reading performance of learners who used the proposed annotation system. A statistical analysis scheme was employed to evaluate differences in learning performance of learners while reading and learning with the proposed annotation tool.

The paper finds that annotated digital material provides useful knowledge to readers. The values to those annotating and subsequent readers are the acquisition of in‐depth knowledge and efficient reading. Additionally, the effect on digital libraries is that digital library content grows dynamically as readers contribute knowledge. More importantly, annotated information from different readers has very high potential for the discovery of value‐added knowledge utilizing data mining techniques.

Collecting user‐generated content is a novel research issue in the library sciences field, and few studies have developed useful tools that allow readers to actively contribute their knowledge to digital libraries. This work shows how to implement such digital library systems and how the annotation tool benefits the growth of digital archives and promotes learning performance.

The purpose of this paper is to examine the feasibility of using the Evernote note-taking application in research consultation as a way to respond to the challenges of doing research in the twenty-first century digital environment.

This study examines the results of surveys conducted at the time of research consultation and at the end of the semester when the students had completed the research needed for their assignments.

The study found that students are open to having a tool like Evernote used in the research consultation and that the tool can be helpful in organizing the information and search terms discussed in the consultation.

Due to the size of the sample in the study, further research with a larger sample size should be conducted.

This paper outlines a promising method of collaborating and documenting resources in the research consultation.

Using the note-taking application Evernote in research consultations creates a more interactive service.

The purpose of this paper is to provide an overview of the implementation process one academic library used to create a loanable technology program to address student needs for multiple technologies that support and facilitate assignments and other projects, including an increasing number that are multimodal.

This is a case study utilizing focus groups and management data to detail best practices for implementing and maintaining a loanable technology program.

Preliminary results indicate that this program provides value to students and coursework, as well as justifying creating a budget line to support further program development. Implementing a loanable technology program requires additional strategies for policies and procedures related to acquisition, budget allocation, processing, cataloging, check‐out, replacement, and security of the equipment, as well as marketing the service. Findability and equitable student access to loanable technology are also discussed.

An extensive programmatic evaluation method has yet to be put into place to assess the impact of this program. Suggestions for improvements in the program are included.

The process and strategies described in this paper can be replicated by other institutions that are interested in creating a loanable technology program.

Although many institutions provide some loanable technology, there is little written that documents decisions made that lead to a successful, robust, and sustainable program.

Historically minoritized students are routinely silenced in classroom settings. This study aims to explore whether open annotations encourage students with historically minoritized gender/racial/ethnic identities to share knowledge and ideas. In addition, this study explores how the intersectionality of student identities relates to their experiences of open annotation and assess gendered and racialized achievement of student learning objectives.

This study uses mixed methods to examine the use of an open annotation tool (Perusall) to foster the redistribution of epistemic authority and more equitable interactions in science, technology, engineering, and math and humanities courses at the intersection of environmental and social justice issues. The study design draws on illustrative case study methods to assist others in seeing the potential and considerations in using a similar pedagogical approach.

An open annotation tool like Perusall can foster more equitable interactions for historically minoritized students. Women reported that open annotations deepened knowledge and engagement with the source and their peers. Women of color, in particular, acknowledged the benefits of social annotations as a tool that redistributes epistemic authority. Conversely, men were more likely to comment on dissatisfaction with grading.

This study suggests the value of open annotation as an effective and accessible method to foster inclusive classrooms. Through examining epistemic authority in social annotations, this study provides a novel approach to addressing the disengagement of historically minoritized students.

This paper describes a computer supported ubiquitous learning environment for minority language learning. Hakka language involved various tones, art, craft, festivals, food, drink, medicine, religion and custom in different regions. The tones also vary across the dialects of Hakka. The majority of Hakka dialects have six tones in Taiwan. The context for Hakka language translation and use is extremely important. The purpose of this paper is to present the context-aware annotation service to help readers get the right information for Hakka language use and learning more easily.

This paper proposes the context-aware learning support system for Hakka culture-specific items or language, which is called Hakka culture-specific items annotation system (HACSIAS). HACSIAS is the context-aware annotation system, helping learners to add links of culture-specific items when they are reading the electronic journals, books, and web pages.

The HACSIAS provides learner appropriate information for Hakka culture-specific items deriving the learner’s situation and personal information. The context-aware computing will automatically provide translation service by searching a given culture-specific items database while these items or terminology appear in a document, either by displaying terms in the translation memory.

The context-aware annotation system for Hakka culture-specific language learning allows Hakka cultural resources to be smoothly integrated into learning materials.

The purpose of this paper is to propose sentiment annotation at sentence level to reduce information overloading while reading product/service reviews in the internet.

The keyword-based sentiment analysis is applied for highlighting review sentences. An experiment is conducted for demonstrating its effectiveness.

A prototype is built for highlighting tourism review sentences in Chinese with positive or negative sentiment polarity. An experiment results indicates that sentiment annotation can increase information quality and user’s intention to read tourism reviews.

This study has made two major contributions: proposing the approach of adding sentiment annotation at sentence level of review texts for assisting decision-making; validating the relationships among the information quality constructs. However, in this study, sentiment analysis was conducted on a limited corpus; future research may try a larger corpus. Besides, the annotation system was built on the tourism data. Future studies might try to apply to other areas.

If the proposed annotation systems become popular, both tourists and attraction providers would obtain benefits. In this era of smart tourism, tourists could browse through the huge amount of internet information more quickly. Attraction providers could understand what are the strengths and weaknesses of their facilities more easily. The application of this sentiment analysis is possible for other languages, especially for non-spaced languages.

Facing large amounts of data, past researchers were engaged in automatically constructing a compact yet meaningful abstraction of the texts. However, users have different positions and purposes. This study proposes an alternative approach to add sentiment annotation at sentence level for assisting users.

While the World Wide Web (WWW or Web) is steadily expanding, electronic books (e‐books) remain a niche market. In this article, it is first postulated that specialized contents and device independence can make Web‐based e‐books compete with paper prints; and that adaptive features that can be implemented by client‐side computing are relevant for e‐books, while more complex forms of adaptation requiring server‐side computations are not. Then, enhancements of the WWW standards (specifically of XML, XHTML, of the style‐sheet languages CSS and XSL, and of the linking language XLink) are proposed for a better support of client‐side adaptation and device independent content modeling. Finally, advanced browsing functionalities desirable for e‐books as well as their implementation in the WWW context are described.

This paper outlines the design and development process of an online annotation system and how it is applied to the sphere of collaborative online learning. The architecture and design of the annotation system, illustrated in this paper, have been developed to enrich collaborative learning content through adding a layer of information in online learning environments. Consideration is given to the role of the collaborative annotation system in the context of formal and informal e‐learning environments.

The paper aims to develop a new method for potential relations retrieval. It aims to find common aspects between co-occurrence analysis and ontology to build a model of semantic information retrieval based on co-occurrence analysis.

This paper used a literature review, co-occurrence analysis, ontology build and other methods to design a model and process of semantic information retrieval based on co-occurrence analysis. Archaeological data from Wuhan University Library's bibliographic retrieval systems was used for experimental analysis.

The literature review found that semantic information retrieval research mainly concentrates on ontology-based query techniques, semantic annotation and semantic relation retrieval. Moreover most recent systems can only achieve obvious relations retrieval. Ontology and co-occurrence analysis have strong similarities in theoretical ideas, data types, expressions, and applications.

The experiment data came from a Chinese university which perhaps limits its usefulness elsewhere.

This paper constructed a model to understand potential relations retrieval. An experiment proved the feasibility of co-occurrence analysis used in semantic information retrieval. Compared with traditional retrieval, semantic information retrieval based on co-occurrence analysis is more user-friendly.

This study is one of the first to combine co-occurrence analysis with semantic information retrieval to find detailed relationships.