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2019
The concept of linked Data and Semantic Web have been gaining importance to revolutionise the world of the internet. The idea behind Linked Data can be used to create a huge database of the Internet interlinked by relationships that will be easily understood by machines as well as humans. We tried to compare some libraries that have published their content via linked open data. The advantages and disadvantages have also been highlighted. libraries should benefit by adopting linked Data but there are many challenges that will come up in its implementation. The BIBFRAME Initiative is a possible framework that will enable libraries to link their resources on to the web attracting users with high-quality content. Various initiatives have been undertaken by the libraries in order to make resources accessible to all users.
New Library World, 2012
PurposeThe 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.Design/methodology/approachThis 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 argu...
Journal of Information Science, 2015
The Semantic Web encourages institutions, including libraries, to collect, link and share their data across the Web in order to ease its processing by machines to get better queries and results. Linked Data technologies enable us to connect related data on the Web using the principles outlined by Tim Berners-Lee in 2006. Digital libraries have great potential to exchange and disseminate data linked to external resources using Linked Data. In this paper, a study about the current uses of Linked Data in digital libraries, including the most important implementations around the world, is presented. The study focuses on selected vocabularies and ontologies, benefits and problems encountered in implementing Linked Data in digital libraries. In addition, it also identifies and discusses specific challenges that digital libraries face, offering suggestions for ways in which libraries can contribute to the Semantic Web. The study uses an adapted methodology for literature review, to find da...
International Journal of Librarianship
For the past ten years libraries have been working diligently towards Linked Data and the Semantic Web. Due to the complexity and vast scope of Linked Data, many people have a hard time to understand its technical details and its potential for the library community. This paper aims to help librarians better understand some important concepts by explaining the basic Linked Data technologies that consist of Resource Description Framework (RDF), the ontology, and the query language. It also includes an overview of the achievements by libraries around the world in their efforts to turn library data into Linked Data including those by Library of Congress, OCLC, and some other national libraries. Some of the challenges and setbacks that libraries have encountered are analyzed and discussed. In spite of the difficulties, there is no way to turn back. Libraries will have to succeed.
New Library World, 2012
Contemporary metadata principles and standards tended to result in document-centric rather than data-centric; human-readable rather than machine-processable metadata. In order for libraries to create and harness shareable, mashable and re-usable metadata, a conceptual shift can be achieved by 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. In relation to technical formats, libraries can leapfrog to Linked Data technical formats such as the Resource Description Framework (RDF), without disrupting current library metadata operations. This paper provides six key recommendations for libraries and standards agencies. These include rising to the challenges and embracing the opportunities presented by current technological trends, adopting minimal requirements of Linked Data principles, developing ontologies, deciding on what needs to be retained from current library models, becoming part of the Linked Data cloud, and developing mixed-metadata (standards-based and socially-constructed) approaches. Finally, the paper concludes by identifying and discussing five major benefits of such metadata re-conceptualisation. The benefits include metadata openness and sharing, serendipitous discovery of information resources, identification of zeitgeist and emergent metadata, facet-based navigation and metadata enriched with links.
IGI-Global, 2019
The present society is considered an information society. A society where the creation, distribution, use, integration, and manipulation of digital information have become the most significant activity in all aspects. Information is producing from every sector of any society, which has resulted in an information explosion. Modern technologies are also having a huge impact. So managing this voluminous information is really a tough job. Again WWW has opened the door to connect anyone or anything within a fraction of a second. This study discussed the Semantic Web and linked data technologies and their effect and application to libraries for the handling of various types of resources.
2020
Linked open data (LOD) is an essential component in semantic web architecture and is becoming increasingly important over time due to its ability to share and re-use structured data which is both human and computer readable over the web. Currently, many libraries, archives, museums etc. are using open source digital library software to manage and preserve their digital collections. They may also intend to publish their e-resources as “Linked Open Datasets” for further usage. LOD enables the libraries or information centers to publish and share the structured metadata that is generated and maintained with their own bibliographic and authority data in such a way that the other libraries and general community across the world can consume, interact, enrich and share. In this context, the key issue is to convert the library bibliographic data which is commonly known as metadata into LOD dataset. The purpose of this paper is to provide a methodology and technical aspects to design and pub...
A ‘Semantic Web’ Using Linked Data for day-to-day data transfer , 2009
The term Linked Data refers to a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the last three years, leading to the creation of a global data space containing billions of assertions - the Web of Data. In this article we present the concept and technical principles of Linked Data, and situate these within the broader context of related technological developments. We describe progress to date in publishing Linked Data on the Web, review applications that have been developed to exploit the Web of Data, and map out a research agenda for the Linked Data community as it moves forward.
Journal of Information Science Theory and Practice, 2015
Since the advent of Linked Data (LD) as a method for building webs of data, there have been many attempts to apply and implement LD in various settings. Efforts have been made to convert bibliographic data in libraries into Linked Data, thereby generating Library Linked Data (LLD). However, when memory institutions have tried to link their data with external sources based on principles suggested by Tim Berners-Lee, identifying appropriate vocabularies for use in describing their bibliographic data has proved challenging. The objective of this paper is to discuss the potential role of Linked Open Vocabularies (LOV) in providing better access to various open datasets and facilitating effective linking. The paper will also examine the ways in which memory institutions can utilize LOV to enhance the quality of LLD and LLD-based ontology design.
2013
The term linked data is entering into common vocabulary and, as most interests us in this instance, into the specific terminology of library and information science. The concept is complex; we can summarize it as that set of best practices required for publishing and connecting structured data on the web for use by a machine. It is an expression used to describe a method of exposing, sharing and connecting data via Uniform Resource Identifiers (URIs) on the web. With linked data, in other words, we refer to data published on the web in a format readable, interpretable and, most of all, useable by machine, whose meaning is explicitly defined by a string of words and markers. In this way we constitute a linked data network (hence linked data) belonging to a domain (which constitutes the initial context), connected in turn to other external data sets (that is, those outside of the domain), in a context of increasingly extended relationships. Next is presented the Linked Open Data cloud (LOD), which collects the open data sets available on the web, and the paradigm of its exponential growth occurring in a very brief period of time which demonstrates the level of interest that linked data has garnered in organizations and institutions of different types.
Springer eBooks, 2019
This chapter presents Linked Data, a new form of distributed data on the web which is especially suitable to be manipulated by machines and to share knowledge. By adopting the linked data publication paradigm, anybody can publish data on the web, relate it to data resources published by others and run artificial intelligence algorithms in a smooth manner. Open linked data resources may democratize the future access to knowledge by the mass of internet users, either directly or mediated through algorithms. Governments have enthusiastically adopted these ideas, which is in harmony with the broader open data movement.
2013
Miller described what the concept of linked data is, practical applications for linked data space, and how libraries can contribute to linked data efforts. He defined linked data as the next phase of the World Wide Web. Whereas the Web made it possible to link and connect documents, linked data are leveraging the Web to connect data regardless of where those data reside. Miller suggested new opportunities for libraries to assist organizations with their information needs and to weave knowledge workers, library users, and librarians together in a new enterprise.
For many in the library field, linked open data (LOD) is both a common and an enigmatic phrase. Linked data has been the topic of many articles, books, conference presentations, and workshops in recent years. The topic, however, is one that many are still working to understand. This article is a brief primer and survey of the current LOD landscape for those who are either new to LOD or wish to reacquaint themselves with LOD. The article will start with a basic introduction to LOD, including some of the standards and formats involved. The second half will describe some of the major LOD projects and efforts in various fields, including libraries, archives, and museums, and provide links to selected resources for those who want to learn more.
Journal of Library Metadata, 2013
When Tim Berners-Lee introduced Linked Data (2006) he emphasized that it wasn't just about getting things up on the Web, but it was about making links between things so that people could follow those links and make discoveries and create more links -weave the Web. This idea of linking people with information struck a chord in the library world. Isn't that what libraries are all about? Linking people to the information they need?
2013
Semantic Web technologies and Linked data form a new reference framework for libraries. The library community aims to integrate its data with the Semantic Web and as a result new library data models have been developed. In this context, significant research effort focuses on the alignment between the library models with relevant models developed by other communities in the cultural heritage domain. However there exist several issues concerning the interoperability between all these data models. This paper seeks to contribute in the interoperability of four models, namely FRBR, FRBRoo, EDM and BIBFRAME. It highlights the commonalities and the divergences between them by using a case bibliographic record and by exploring how this record is represented by each one of them.
Traditionally, in most digital library environments, the discovery of resources takes place mostly through the harvesting and indexing of the metadata content. Such search and retrieval services provide very effective ways for persons to find items of interest but lacks the ability to lead users looking for potential related resources or to make more complex queries. In contrast, modern web information management techniques related to Semantic Web, a new form of the Web, encourages institutions, including libraries, to collect, link and share their data across the web in order to ease its processing by machines and humans offering better queries and results increasing the visibility and interoperability of the data. Linked Data technologies enable connecting related data across the Web using the principles and recommendations set out by Tim Berners-Lee in 2006, resulting on the use of URIs (Uniform Resource Identifier) as identifiers for objects, and the use of RDF (Resource Description Framework) for links representation. Today, libraries are giving increasing importance to the Semantic Web in a variety of ways like creating metadata models and publishing Linked Data from authority files, bibliographic catalogs, digital projects information or crowd sourced information from another projects like Wikipedia. This paper reports a process for publishing library metadata on the Web using Linked Data technologies. The proposed process was applied for extracting metadata from a university library, representing them in RDF format and publishing them using a Sparql endpoint (an interface to a knowledge database). The library metadata from a subject were linked to external sources such us another libraries and then related to the bibliography from syllabus of the courses in order to discover missing subjects and new or out of date bibliography. In this process, the use of open standards facilitates the exploitation of knowledge from libraries. Keywords: Linked Data, Semantic Web, Library Catalogs, RDF.
Sir Tim Burners-Lee created quite the stir with the introduction of Linked Data. Instead of having hyperlinks link to static documents online, Burners-Lee proposes that data be linked together semantically online in a concept he calls Linked Data. This paper will explore the many facets of Linked Data. This will be accomplished with an overview of the principles and standards of Linked Data to include concepts such as RDF, OWL, and SPARQL. To provide the audience with a better understanding of how Linked Data can function, it will illustrate current projects such as DBpedia, BabelNet, and MeLOD. Finally, there will a discussion on how libraries are impacted by Linked Data and some initiatives being explored such as BIBFRAME.
2012
Nowadays, the social networks are spreading abroad different application domains. Also, the digital libraries are improving how their users exploit the catalog services with social capabilities. More recently, the Linked Data model defines a novel vision for the near future web applications. Our paper approaches a solution for managing users in a digital library with a semantic fashion.
The term linked data is entering into common vocabulary and, as most interests us in this instance, into the specific terminology of library and information science. The concept is complex; we can summarize it as that set of best practices required for publishing and connecting structured data on the web for use by a machine. It is an expression used to describe a method of exposing, sharing and connecting data via Uniform Resource Identifiers (URIs) on the web. With linked data, in other words, we refer to data published on the web in a format readable, interpretable and, most of all, useable by machine, whose meaning is explicitly defined by a string of words and markers. In this way we constitute a linked data network (hence linked data) belonging to a domain (which constitutes the initial context), connected in turn to other external data sets (that is, those outside of the domain), in a context of increasingly extended relationships. Next is presented the Linked Open Data cloud (LOD), which collects the open data sets available on the web, and the paradigm of its exponential growth occurring in a very brief period of time which demonstrates the level of interest that linked data has garnered in organizations and institutions of different types.
Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2015
Linked Data principles offer significant advantages over current practices when publishing data. Linked Data allows library interoperability by linking to data from other organizations with authoritative data, which enriches library catalog-user search results. This paper describes LODLI, a Linked Open Data Back-End system that we designed and developed to enhance library catalog searches. We integrated our system with the Hebrew University library catalog, HUfind. While our platform can be used as is, it can also be customized by Linked Open Data providers that desire to convert their MARC records into Linked Data information library systems, making their data far more accessible. This research project faced the following challenges: finding the most efficient way to translate binary MARC into MARC records; mapping the MARC records into a variety of information models, such as Dublin Core, FRBR, RDA, OWL and FOAF, while selecting the most appropriate MARC field combinations; and providing links to resources in external datasets using a distance algorithm to identify string similarity. LODLI is a generic system to which additional ontologies can easily be added. We have demonstrated the system with two types of clients: FRBR visualization client and VIAF-extension client.
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