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XML has become a standard data format for many applications and efficient retrieval methods are required. Typically, there are roughly two kinds of retrieval methods, namely path‐based method (e.g. XPath and XQuery) and keyword search, but these methods do not work when users do not have any concrete information need. To expand feasibility of XML data retrieval is an important task and this is the purpose of this paper.

The paper's strategy is to apply faceted navigation for XML data. Faceted navigation is an exploratory search which enables the exploration of data making use of attributes, called facets. General faceted navigation methods are applied for attributed objects but XML data have no criteria because XML nodes are objects and facets. Thus, the paper's approach is to construct a framework to enable faceted navigation over XML data. It first extracts objects based on occurrence of nodes and facets. Then it constructs a faceted navigation interface for extracted objects and facets.

The framework achieves semi‐automatic construction of faceted navigation interface from an XML database. In the experiments, the show feasibility of the framework is shown by three faceted navigation interfaces using existing real XML data. On the other hand, the user study shows the retrieval method helps users to find required information.

There are only a few works which apply faceted navigation for XML data and these works are based on predefined objects and facets which need human effort. In contrast, this framework needs human decision making only when choosing objects and facets to be used in the faceted navigation interface.

The aim of this article is to estimate the impact of faceted classification and the faceted analytical method on the development of various information retrieval tools over the latter part of the twentieth and early twenty‐first centuries.

The article presents an examination of various subject access tools intended for retrieval of both print and digital materials to determine whether they exhibit features of faceted systems. Some attention is paid to use of the faceted approach as a means of structuring information on commercial web sites. The secondary and research literature is also surveyed for commentary on and evaluation of facet analysis as a basis for the building of vocabulary and conceptual tools.

The study finds that faceted systems are now very common, with a major increase in their use over the last 15 years. Most LIS subject indexing tools (classifications, subject heading lists and thesauri) now demonstrate features of facet analysis to a greater or lesser degree. A faceted approach is frequently taken to the presentation of product information on commercial web sites, and there is an independent strand of theory and documentation related to this application. There is some significant research on semi‐automatic indexing and retrieval (query expansion and query formulation) using facet analytical techniques.

This article provides an overview of an important conceptual approach to information retrieval, and compares different understandings and applications of this methodology.

This paper puts forward a MARC-based semiautomated approach to extracting semantically rich subject facets from general and/or specialized controlled vocabularies for display in topic-oriented faceted catalog interfaces in a way that would better support users' exploratory search tasks.

Hierarchical faceted subject metadata is extracted from general and/or specialized controlled vocabularies by using standard client/server communication protocols. Rigorous facet analysis, classification and linguistic principles are applied on top of that to ensure faceting accuracy and consistency.

A shallow application of facet analysis and classification, together with poorly organized displays, is one of the major barriers to effective faceted navigation in library, archive and museum catalogs.

This paper does not deal with Web-scale discovery services.

This paper offers suggestions that can be used by the technical services departments of libraries, archives and museums in designing and developing more powerful exploratory search interfaces.

This paper addresses the problem of deriving clearly delineated topical facets from existing metadata for display in a user-friendly, high-level topical overview that is meant to encourage a multidimensional exploration of local collections as well as “learning by browsing.”

Development of an effective search system and interface largely depends on usability studies. The aim of this paper is to present the results of an empirical evaluation of a prototype web site search and browsing tool based on multidimensional taxonomies derived from the use of faceted classification.

A prototype Faceted Classification System (FCS), which classifies and organizes web documents under different facets (orthogonal sets of categories), was implemented on the domain of an academic institute. Facet are created from content oriented metadata, and then assembled into multiple taxonomies that describe alternative classifications of the web site content, such as by subject and location. The search and browsing interfaces use these taxonomies to enable users to access information in multiple ways. The paper compares the FCS interfaces to the existing single‐classification system to evaluate the usability of the facets in typical navigation and searching tasks.

The findings suggest that performance and usability are significantly better with the FCS in the areas of efficient access, search success, flexibility, understanding of content, relevant search result, and satisfaction. These results are especially promising since unfamiliarity often leads users to reject new search interfaces.

The results of the study in this paper can significantly contribute to interface research in the IR community, emphasizing the advantages of multidimensional taxonomies in online information collections.

The study described in this paper aims to identify the progress made in the efforts to model current online public access catalogs (OPACs) after the next generation catalog (NGC) in academic libraries in the USA and Canada.

A random sample of 260 colleges and universities was selected from Peterson's Guide to Four‐Year Colleges 2009, an estimated 10 percent of the total population of 2,560 listed academic institutions. A checklist of 12 features of the NGC was used to evaluate the OPACs of the 260 libraries in the sample. The authors took as the OPAC that which the library linked to as its “catalog,” even though some might be more properly considered “discovery tools” or “discovery layers.” Some libraries used more than one OPAC interface simultaneously; in this case, each OPAC was analyzed separately. In the case of several institutions using the same consortial OPAC, only the first instance of the OPAC was analyzed. About 15 percent of the institutions (n=40) in the sample either did not have web sites or did not provide access to their online catalogs. In all, a total of 233 unique instances of OPACs were analyzed. Data were collected from September 2009 through July 2010. The findings can be extrapolated to the population at the 95 percent confidence level with a confidence interval of ±3.

While bits and pieces of the next generation catalog are steadily working themselves into the current catalog, academic libraries still have a long way to go. About 16 percent of the OPACs in the sample did not show any advanced features of the NGC. More than half of the libraries (61 percent) had only one to five advanced features in their OPACs. Many of those with six or more NGC features were discovery tools. Only 3 percent of the OPACs in the sample (n=8) demonstrated seven to ten out of the 12 functionalities of the NGC, and they were instances either of WorldCat Local or Summon. The weak areas were federated searching, relevance based on circulation statistics, and recommendations based on patron transactions.

This is the first and only study on a large scale conducted thus far that evaluates the progress towards the NGC in academic libraries in the USA and Canada. The findings help academic librarians to recognize and pin‐point the weak links in implementing a true next generation catalog.

Despite the importance of bibliographic information systems for discovering and exploring library resources, some of the core functionality that should be provided to support users in their information seeking process is still missing. Investigating these issues, the purpose of this paper is to design a solution that would fulfil the missing objectives.

Building on the concepts of a work family, functional requirements for bibliographic records (FRBR) and information visualization, the paper proposes a model and user interface design that could support a more efficient and user-friendly presentation and navigation in bibliographic information systems.

The proposed design brings together all versions of a work, related works, and other works by and about the author and shows how the model was implemented into a FrbrVis prototype system using hierarchical visualization layout.

Although issues related to discovery and exploration apply to various material types, the research first focused on works of fiction and was also limited by the selected sample of records.

The model for presenting and interacting with FRBR-based data can serve as a good starting point for future developments and implementations.

With FRBR concepts being gradually integrated into cataloguing rules, formats, and various bibliographic services, one of the important questions that has not really been investigated and studied is how the new type of data would be presented to users in a way that would exploit the true potential of the changes.

The purpose of this paper is to provide recommendations for making a conceptual shift from current document‐centric to data‐centric metadata. The importance of adjusting current library models such as Resource Description and Access (RDA) and Functional Requirements for Bibliographic Records (FRBR) to models based on Linked Data principles is discussed. In relation to technical formats, the paper suggests the need to leapfrog from machine readable cataloguing (MARC) to Resource Description Framework (RDF), without disrupting current library metadata operations.

This paper identified and reviewed relevant works on overarching topics that include standards‐based metadata, Web 2.0 and Linked Data. The review of these works is contextualised to inform the recommendations identified in this paper. Articles were retrieved from databases such as Emerald and D‐Lib Magazine. Books, electronic articles and relevant blog posts were also used to support the arguments put forward in this paper.

Contemporary library standards and models carried forward some of the constraints from the traditional card catalogue system. The resultant metadata are mainly attuned to human consumption rather than machine processing. In view of current user needs and technological development such as the interest in Linked Data, it is found important that current metadata models such as FRBR and RDA are re‐conceptualised.

This paper discusses the implications of re‐conceptualising current metadata models in light of Linked Data principles, with emphasis on metadata sharing, facilitation of serendipity, identification of Zeitgeist and emergent metadata, provision of faceted navigation, and enriching metadata with links.

Most of the literature on Linked Data for libraries focus on answering the “how to” questions of using RDF/XML and SPARQL technologies, however, this paper focuses mainly on answering “why” Linked Data questions, thus providing an underlying rationale for using Linked Data. The discussion on mixed‐metadata approaches, serendipity, Zeitgeist and emergent metadata is considered to provide an important rationale to the role of Linked Data for libraries.

The purpose of this paper is to evaluate and compare open source and proprietary discovery tools and find out how much discovery tools have achieved towards becoming the next generation catalog.

The paper summarizes characteristics of the next generation catalog into a check‐list of 12 features. This list was checked against each of seven open source and ten proprietary discovery tools to determine if those features were present or absent in those tools.

Discovery tools have many next generation catalog features, but only a few can be called real next generation catalogs. Federated searching and relevancy based on circulation statistics are the two areas that both open source and proprietary discovery tools are missing. Open source discovery tools seem to be bolder and more innovative than proprietary tools in embracing advanced features of the next generation catalog. Vendors of discovery tools may need to quicken their steps in catching up.

It is the first evaluation and comparison of open source and proprietary discovery tools on a large scale. It will provide information as to exactly where discovery tools stand in light of the much desired next generation catalog.

The purpose of this paper is to provide an insight into the use of Web 2.0 and Library 2.0 technologies so that librarians can combine open source software with user‐generated content to create a richer discovery experience for their users.

Following a description of the current state of integrated library systems (ILS) and the developments with Web 2.0 and Library 2.0 technologies, examples are given of library suppliers and libraries which are making use of these technologies.

Libraries are moving away from the traditional, vendor‐sourced library catalogue software in favour of open source software that can be tailored to meet the community's needs by the people who are most familiar with those needs: library staff. Open source products and some vendor products outside the traditional ILS market allow libraries to pool data created by users: tags, reviews, comments. This allows the smallest libraries to harvest richer data than those of their own communities.

The paper provides a “snapshot” of current developments in this fast‐moving area.

This study seeks to understand the current state of the development of linked open data (LOD) bibliographic portals to discuss their functionalities, contributions, value-adds and user experience.

A set of evaluative aspects grouped into three analysis dimensions was established: collections, tools—technologies and standards used—and web user interface. As the object of the study, four projects of diverse nature and volume were selected to help provide a better understanding of the trends in the solutions provided for the end user when accessing linked data collections.

Publishing LOD through visual interfaces maximises information enrichment, contextualisation and discovery, in addition to improving user experience, because of both increased navigation capabilities and interrelationships between data. These more flexible environments have metamorphosised the visualisation of bibliographic information. However, aspects that needed improvement were observed, primarily relating to (1) a more intuitive interaction, (2) possibilities of greater personalisation, (3) enhanced communication with the user to favour user engagement and (4) experimental spaces of data reuse.

Further quantitative and qualitative studies should be conducted to improve these portals, assess their adaptation to the behaviour of the user and their influence on the use of library collections.

This article investigates the potential of semantic technologies in bibliographic data portals, proposes a methodological model for their evaluation and advances conclusions about the usability and user experience that these platforms provide, compared to classic catalogues.