Search results

This paper aims to analyse user interfaces for search and collection visualisation and navigation from a usability perspective. The final aim is to offer repository owners a scientific basis to support their decisions when they have to choose an interface that can really help users to effectively locate and visualise resources over large digital collections.

This HCI study is divided into two parts: perception and usability. The first one analysed three perceptual abilities required to use interfaces: attention, retention of information and understanding. The second one was run on an ad hoc generated collection including more than 40,000 European digital resources collected and classified according to a given branch of knowledge in the Art & Architecture Thesaurus.

Although visual interfaces proved useful for certain tasks related to resource discovery and search, and despite the overall good general user opinion, the authors found it necessary to conduct another thorough study to know more about the target users and the amplitude of the collection, as well as to determine the ideal type of interface to implement. All these factors are important for increasing user acceptance and avoiding unnecessary implementation costs.

This research was run on a relatively small sample size of users from Spain and Latin America, which may not be representative of the general population. In similar studies previous knowledge about usability has been reported to introduce bias in the results, so the authors tried to avoid this when selecting the participants.

There are no previous usability studies for the development and implementation of interfaces in digital learning or cultural repositories. The authors' experience highlights the importance of addressing usability aspects a priori, to prevent users from ceasing to use visual interfaces over time, because they do not perceive any benefit from using them.

This study investigated the design of three online public library catalogs in light of the cognitive ability and success of children ages five to eight.

A quasi-experimental approach was employed to examine the influence of system design on children’s searching strategies and search success. Interviews were used to explore children’s rationale for using icons and taxonomies in the catalogs. Fifty one children from one public library participated in this study. Inferential statistics were utilized to whether significant differences existed between use of the catalogs and the children’s success in finding information.

Use of images and text were helpful in searching the catalogs. Results of the ANOVA test indicated no significant difference among children’s searching success rates and the three catalogs. Additionally, the participants misidentified representations used in icons in all three catalogs and created valid search paths that did not produce results. There was a disconnect between the children’s cognitive abilities and the design representations of the three catalogs.

The study took place in one location, thus one should not overgeneralize the findings. Use of assigned tasks may have affected children’s success rates. Children’s searching using printed cards of display screens from the three catalogs instead of real-time interaction with them is also a limitation.

Because of the children’s reliance on images, the choice of visual representations is crucial to successful searching. Interface designers should involve young users in the design of today’s online catalogs. They should also consider new forms of representations such as auditory icons, verbal mouse overs, and zooms.

In addition to addressing the need for research on young children’s information seeking and use of online catalogs in public libraries, this research focuses on the need for an additional layer of visual representation and highlights flaws in currently used catalog designs.

Due to various historical differences in organising, documenting and managing information across cultural institutions, cross‐domain resource discovery in the cultural heritage sector remains problematic. Leveraging on the lessons learnt from current efforts to enhance access to networked digital cultural resources, this paper seeks to explore the development of a taxonomy for the same purpose.

A methodology was developed for the construction of a 500‐term taxonomy for a Singapore‐based cultural heritage network. Based on this taxonomy, the benefits and problems of developing such a knowledge organisation system for a cultural network are also discussed.

Collecting terms and concepts from various external and internal sources was sufficient to kick‐start the taxonomy development process. One of the key aspects of the Integrated Museum and Archives System (IMAS) taxonomy is its ability to show a broad overview of the all the resources held by the National Heritage Board, regardless of originating institution.

No single scheme currently best fits the needs of cultural networks, but all can benefit from each other's learning process. The development of the IMAS taxonomy particularly benefited from the insights provided by faceted classification and the possible relationships between terms and concepts in ontology. Such guidelines and recommendations also provide much ground and basis for the NHB to start a framework for standardising documentation practices.

This paper aims to present the third stage of a research project that aims to develop a bilingual interface for the retrieval of digital images. The requirements and implementation of the search engine are described. Image search engines attempt to give access to a range of online images available on the web.

The strategy of using open-source software components as much as possible was chosen for the advantages of this approach: low initial cost and accessibility to evaluate and develop enhancements independently and driven by research objectives rather than financial viability.

Open-source software components can be used to develop the interface. The implementation of the image search engine and its indexes uses: Apache Solr, AJAX-Solr, jsTree and jQuery. Microsoft Translator web service was integrated into the interface to provide the optional user query translation.

The search interface is intended to be an innovative tool for image searchers who are looking for digital images. The search interface gives the image searchers the opportunity to easily access a variety of visual resources and facilitates searching for images in two different languages (English and French).

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.

The purpose of this paper is to develop a search engine dedicated to image retrieval in a bilingual (French and English) context. This paper presents the first phase of user testing that was carried out to validate and refine SINCERITY, the new search device.

This first phase of the search engine testing involved a small group of image searchers (10 French-speaking and 10 English-speaking participants) who were asked to retrieve a sample of images (30) using the new tool. A questionnaire was also developed to compile the comments of the users.

The results of this first phase of testing revealed that even though image indexing was sometimes problematic, the participants did not encounter major difficulties retrieving images with SINCERITY. Comments and suggestions received will be taken into consideration to improve the performance and aesthetics of the search engine.

Once fully operational, SINCERITY will allow users to search images in an attractive and user-friendly manner. Eventually, other types of images (documentary and artistic) will be added to the image database linked to the image search engine, as well as other languages.

This paper aims to present the results of the first phase of a research project aiming to develop a bilingual taxonomy for the description of digital images. The objectives of this extensive exploration were to acquire knowledge from the existing standards for image description and to assess how they can be integrated in the development of the new taxonomy.

An evaluation of 150 resources for organizing and describing images was carried out. In the first phase, the authors examined the use of controlled vocabularies and prescribed metadata in 70 image collections held by four types of organizations (libraries, museums, image search engines and commercial web sites). The second phase focused on user‐generated tagging in 80 image‐sharing resources, including both free and fee‐based services.

The first part of the evaluation showed that each resource presented comparable information for the images or items being described. Best practices and implementation proved to be largely consistent within each of the four categories of organizations. The second part revealed two trends: in image‐upload systems, there was a virtual absence of mandated structure beyond user name and tags; and in stock photography resources, the authors encountered a hybrid of taxonomies working in combination with user tags.

The analysis of best practices for the organization of digital images used by indexing specialists and non‐specialists alike has been a crucial step, since it provides the basic guidelines and standards for the categories and formats of terms, and relationships to be included in the new bilingual taxonomy, which will be developed in the next phase of the research project.

Several frameworks have been developed to map and document scientific societal interaction and impact, each reflecting the specific forms of impact and interaction that characterize different academic fields. The ReAct taxonomy was developed to register data about “productive interactions” and provide an overview of research activities within the social sciences and humanities (SSH). The purpose of the present research is to examine whether the SSH-oriented taxonomy is relevant to the science, technology, engineering and mathematics (STEM) disciplines when clarifying societal interactions and impact, and whether the taxonomy adds value to the traditional STEM impact indicators such as citation scores and H-index.

The research question was investigated through qualitative interviews with nine STEM researchers. During the interviews, the ReAct taxonomy and visual research profiles based on the ReAct categories were used to encourage and ensure in-depth discussions. The visual research profiles were based on publicly available material on the research activities of the interviewees.

The study provided an insight into how STEM researchers assessed the importance of mapping societal interactions as a background for describing research impact, including which indicators are useful for expressing societal relevance and impact. With regard to the differences between STEM and SSH, the study identified a high degree of cohesion and uniformity in the importance of indicators. Differences were more closely related to the purpose of mapping and impact assessment than between scientific fields. The importance of amalgamation and synergy between academic and societal activities was also emphasised and clarified.

The findings highlight the importance of mapping societal activities and impact, and that societal indicators should be seen as inspiring guidelines depending on purpose and use. A significant contribution is the identification of both uniformity and diversity between the main fields of SSH and STEM, as well as the connection between the choice of indicators and the purpose of mapping, e.g. for impact measurement, profiling, or career development.

The work sheds light on STEM researchers' views on research mapping, visualisation and impact assessment, including similarities and differences between STEM and SSH research.

This research project aims to provide a new visual representation of the Artefacts Canada digital collection, as well as a means for users to browse this content. Artefacts Canada Humanities is a database containing approximately 3.5 million records describing the different collections of Canadian museums.

A four‐step methodology was adopted for the development of the faceted taxonomy model. First, a best practice review consisting of an extensive analysis of existing terminology standards in museum communities and public web interfaces of large cultural organizations was performed. The second step of the methodology entailed a domain analysis; this involved extracting and comparing relevant concepts from terminological authoritative sources. The third step proceeded to term clustering and entity listing,which involved the breaking‐up of the taxonomy domains into potential facets. An incremental user testing was also realized in order to validate and refine the taxonomy components (facets, values, and relationships).

The project resulted in a bilingual and expandable vocabulary structure that will further be used to describe the Artefacts Canada database records. The new taxonomy simplifies the representation of complex content by grouping objects into similar facets to classify all records of the Artefacts Canada database. The user‐friendly bilingual taxonomy provides worldwide visitors with the means to better access Canadian virtual museum collections.

Few methodological tools are available for museums which wish to adopt a faceted approach in the development of their web sites. For practitioners, the methodology developed within this project is a direct contribution to support web site development of large cultural organizations.

The main objective of the paper is to assess selected taxonomy building tools to review their features and capabilities for supporting development and deployment of taxonomy functions.

A checklist of desirable features and capabilities of taxonomy tools was used for assessment focusing on development, deployment, display, and information environment supported. White papers and product information datasheets on vendor sites were consulted to analyze features and capabilities of selected taxonomy tools.

The review indicates that more than 50 per cent of the selected tools support automatic and hybrid taxonomy building; about 80 per cent allow import and export of taxonomies and vocabularies; and all tools reviewed support classification and tagging. User interfaces, for maintenance, and display in facets, are supported by some tools, while, some have also integrated other visualization tools, or modules to provide clear representation of contents, and relationships.

Analysis is based on review of white papers and product information sheets and is therefore limited to indication of availability features and capabilities. The review does not assess performance of tools which would require use of tools and feedback from actual users.

The checklist used for assessment provides a useful template for organizations interested in assessing tools for taxonomy implementation. A summary of features and capabilities of selected taxonomy tools may also be useful in selecting tools for taxonomy application projects.

Little research has been reported in the literature on assessment methodology and evaluation of taxonomy tools. This study makes a good contribution to the literature on this important aspect of research and makes available useful practical information as well.