Search (17 results, page 1 of 1)

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Abstract

This paper reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The paper discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and /or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the DDC (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.

Source

Beyond libraries - subject metadata in the digital environment and semantic web. IFLA Satellite Post-Conference, 17-18 August 2012, Tallinn

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Abstract

After the launch of the World Wide Web, it became clear that searching documentson the Web would not be trivial. Well-known engines to search the web, like Google, focus on search in web documents using keywords. The documents are structured and indexed to ensure keywords match documents as accurately as possible. However, searching by keywords does not always suice. It is oen the case that users do not know exactly how to formulate the search query or which keywords guarantee retrieving the most relevant documents. Besides that, it occurs that users rather want to browse information than looking up something specific. It turned out that there is need for systems that enable more interactivity and facilitate the gradual refinement of search queries to explore the Web. Users expect more from the Web because the short keyword-based queries they pose during search, do not suffice for all cases. On top of that, the Web is changing structurally. The Web comprises, apart from a collection of documents, more and more linked data, pieces of information structured so they can be processed by machines. The consequently applied semantics allow users to exactly indicate machines their search intentions. This is made possible by describing data following controlled vocabularies, concept lists composed by experts, published uniquely identifiable on the Web. Even so, it is still not trivial to explore data on the Web. There is a large variety of vocabularies and various data sources use different terms to identify the same concepts.
This PhD-thesis describes how to effectively explore linked data on the Web. The main focus is on scenarios where users want to discover relationships between resources rather than finding out more about something specific. Searching for a specific document or piece of information fits in the theoretical framework of information retrieval and is associated with exploratory search. Exploratory search goes beyond 'looking up something' when users are seeking more detailed understanding, further investigation or navigation of the initial search results. The ideas behind exploratory search and querying linked data merge when it comes to the way knowledge is represented and indexed by machines - how data is structured and stored for optimal searchability. Queries and information should be aligned to facilitate that searches also reveal connections between results. This implies that they take into account the same semantic entities, relevant at that moment. To realize this, we research three techniques that are evaluated one by one in an experimental set-up to assess how well they succeed in their goals. In the end, the techniques are applied to a practical use case that focuses on forming a bridge between the Web and the use of digital libraries in scientific research. Our first technique focuses on the interactive visualization of search results. Linked data resources can be brought in relation with each other at will. This leads to complex and diverse graphs structures. Our technique facilitates navigation and supports a workflow starting from a broad overview on the data and allows narrowing down until the desired level of detail to then broaden again. To validate the flow, two visualizations where implemented and presented to test-users. The users judged the usability of the visualizations, how the visualizations fit in the workflow and to which degree their features seemed useful for the exploration of linked data.
The ideas behind exploratory search and querying linked data merge when it comes to the way knowledge is represented and indexed by machines - how data is structured and stored for optimal searchability. eries and information should be aligned to facilitate that searches also reveal connections between results. This implies that they take into account the same semantic entities, relevant at that moment. To realize this, we research three techniques that are evaluated one by one in an experimental set-up to assess how well they succeed in their goals. In the end, the techniques are applied to a practical use case that focuses on forming a bridge between the Web and the use of digital libraries in scientific research.
When we speak about finding relationships between resources, it is necessary to dive deeper in the structure. The graph structure of linked data where the semantics give meaning to the relationships between resources enable the execution of pathfinding algorithms. The assigned weights and heuristics are base components of such algorithms and ultimately define (the order) which resources are included in a path. These paths explain indirect connections between resources. Our third technique proposes an algorithm that optimizes the choice of resources in terms of serendipity. Some optimizations guard the consistence of candidate-paths where the coherence of consecutive connections is maximized to avoid trivial and too arbitrary paths. The implementation uses the A* algorithm, the de-facto reference when it comes to heuristically optimized minimal cost paths. The effectiveness of paths was measured based on common automatic metrics and surveys where the users could indicate their preference for paths, generated each time in a different way. Finally, all our techniques are applied to a use case about publications in digital libraries where they are aligned with information about scientific conferences and researchers. The application to this use case is a practical example because the different aspects of exploratory search come together. In fact, the techniques also evolved from the experiences when implementing the use case. Practical details about the semantic model are explained and the implementation of the search system is clarified module by module. The evaluation positions the result, a prototype of a tool to explore scientific publications, researchers and conferences next to some important alternatives.

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Abstract

The publication of library legacy includes publication of structuring vocabularies such as thesauri, classifications, subject headings. Different sources use different vocabularies, different in structure, width, depth and scope, and languages. Federated access to distributed data collections is currently possible if they rely on the same vocabularies. Mapping techniques and standards supporting them (such as SKOS mapping properties, OWL sameAs and equivalentClass) are still largely experimental, even in the linked data land. Libraries use a variety of controlled subject vocabulary and classification schemes to index items in their collections. Although most collections will employ only a single scheme, different schemes may be chosen to index different collections within a library or in separate libraries; schemes are chosen on the basis of language, subject focus (general or specific), granularity (specificity), user expectation, and availability and support (cost, currency, completeness, tools). For example, a typical academic library will operate separate metadata systems for the library's main collections, special collections (e.g. manuscripts, archives, audiovisual), digital collections, and one or more institutional repositories for teaching and research output; each of these systems may employ a different subject vocabulary, with little or no interoperability between terms and concepts. Users expect to have a single point-of-search in resource discovery services focussed on their local institutional collections. Librarians have to use complex and expensive resource discovery platforms to meet user expectations. Library communities continue to develop resource discovery services for consortia with a geographical, subject, sector (public, academic, school, special libraries), and/or domain (libraries, archives, museums) focus. Services are based on distributed searching (e.g. via Z39.50) or metadata aggregations (e.g. OCLC's WorldCat and OAISter). As a result, the number of different subject schemes encountered in such services is increasing. Trans-national consortia (e.g. Europeana) add to the complexity of the environment by including subject vocabularies in multiple languages. Users expect single point-of-search in consortial resource discovery service involving multiple organisations and large-scale metadata aggregations. Users also expect to be able to search for subjects using their own language and terms in an unambiguous, contextualised manner.

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Abstract

The concept of Linked Data has been an emerging theme within the computing and digital heritage areas in recent years. The growth and scale of Linked Data has underlined the need for greater commonality in concept referencing, to avoid local redefinition and duplication of reference resources. Achieving domain-wide agreement on common vocabularies would be an unreasonable expectation; however, datasets often already have local vocabulary resources defined, and so the prospects for large-scale interoperability can be substantially improved by creating alignment links from these local vocabularies out to common external reference resources. The ARIADNE project is undertaking large-scale integration of archaeology dataset metadata records, to create a cross-searchable research repository resource. Key to enabling this cross search will be the 'subject' metadata originating from multiple data providers, containing terms from multiple multilingual controlled vocabularies. This paper discusses various aspects of vocabulary mapping. Experience from the previous SENESCHAL project in the publication of controlled vocabularies as Linked Open Data is discussed, emphasizing the importance of unique URI identifiers for vocabulary concepts. There is a need to align legacy indexing data to the uniquely defined concepts and examples are discussed of SENESCHAL data alignment work. A case study for the ARIADNE project presents work on mapping between vocabularies, based on the Getty Art and Architecture Thesaurus as a central hub and employing an interactive vocabulary mapping tool developed for the project, which generates SKOS mapping relationships in JSON and other formats. The potential use of such vocabulary mappings to assist cross search over archaeological datasets from different countries is illustrated in a pilot experiment. The results demonstrate the enhanced opportunities for interoperability and cross searching that the approach offers.

Source

International journal on digital libraries. 2015, S.1-17 DOI: 10.1007/s00799-015-0166-y

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Content

"Last week, I received an email from Yulia Skora in Ukraine who is working on the mapping between UDC Summary and BBK (Bibliographic Library Classification) Summary. It reminded me of yet another challenging area of work. When responding to Yulia I realised that the issues with mapping, for instance, UDC Summary to Dewey Summaries [pdf] are often made more difficult because we have to deal with classification summaries in both systems and we cannot use a known exactMatch in many situations. In 2008, following advice received from colleagues in the HILT project, two of our colleagues quickly mapped 1000 classes of Dewey Summaries to UDC Master Reference File as a whole. This appeared to be relatively simple. The mapping in this case is simply an answer to a question "and how would you say e.g. Art metal work in UDC?" But when in 2009 we realised that we were going to release 2000 classes of UDC Summary as linked data, we decided to wait until we had our UDC Summary set defined and completed to be able to publish it mapped to the Dewey Summaries. As we arrived at this stage, little did we realise how much more complex the reversed mapping of UDC Summary to Dewey Summaries would turn out to be. Mapping the Dewey Summaries to UDC highlighted situations in which the logic and structure of two systems do not agree. Especially because Dewey tends to enumerate combinations of subject and attributes that do not always logically belong together. For instance, 850 Literatures of Italian, Sardinian, Dalmatian, Romanian, Rhaeto-Romanic languages Italian literature. This class mixes languages from three different subgroups of Romance languages. Italian and Sardinian belong to Italo Romance sub-family; Romanian and Dalmatian are Balkan Romance languages and Rhaeto Romance is the third subgroup that includes Friulian Ladin and Romanch. As UDC literature is based on a strict classification of language families, Dewey class 850 has to be mapped to 3 narrower UDC classes 821.131 Literature of Italo-Romance Languages , 821.132 Literature of Rhaeto-Romance languages and 821.135 Literature of Balkan-Romance Languages, or to a broader class 821.13 Literature of Romance languages. Hence we have to be sure that we have all these classes listed in the UDC Summary to be able to express UDC-DDC many-to-one, specific-to-broader relationships.
Another challenge appears when, e.g., mapping Dewey class 890 Literatures of other specific languages and language families, which does not make sense in UDC in which all languages and literatures have equal status. Standard UDC schedules do not have a selection of preferred literatures and other literatures. In principle, UDC does not allow classes entitled 'others' which do not have defined semantic content. If entities are subdivided and there is no provision for an item outside the listed subclasses then this item is subsumed to a top class or a broader class where all unspecifiied or general members of that class may be expected. If specification is needed this can be divised by adding an alphabetical extension to the broader class. Here we have to find and list in the UDC Summary all literatures that are 'unpreferred' i.e. lumped in the 890 classes and map them again as many-to-one specific-to-broader match. The example below illustrates another interesting case. Classes Dewey 061 and UDC 06 cover roughy the same semantic field but in the subdivision the Dewey Summaries lists a combination of subject and place and as an enumerative classification, provides ready made numbers for combinations of place that are most common in an average (American?) library. This is a frequent approach in the schemes created with the physical book arrangement, i.e. library schelves, in mind. UDC, designed as an indexing language for information retrieval, keeps subject and place in separate tables and allows for any concept of place such as, e.g. (7) North America to be used in combination with any subject as these may coincide in documents. Thus combinations such as Newspapers in North America, or Organizations in North America would not be offered as ready made combinations. There is no selection of 'preferred' or 'most needed countries' or languages or cultures in the standard UDC edition: <Tabelle>

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Abstract

Despite the progress made, one of the main barriers towards the use of semantics is the lack of background knowledge. Dealing with this problem has turned out to be a very difficult task because on the one hand the background knowledge should be very large and virtually unbound and, on the other hand, it should be context sensitive and able to capture the diversity of the world, for instance in terms of language and knowledge. Our proposed solution consists in addressing the problem in three steps: (1) create an extensible diversity-aware knowledge base providing a continuously growing quantity of properly organized knowledge; (2) given the problem, build at run-time the proper context within which perform the reasoning; (3) solve the problem. Our work is based on two key ideas. The first is that of using domains, i.e. a general semantic-aware methodology and technique for structuring the background knowledge. The second is that of building the context of reasoning by a suitable combination of domains. Our goal in this paper is to introduce the overall approach, show how it can be applied to an important use case, i.e. the matching of classifications, and describe our first steps towards the construction of a large scale diversity-aware knowledge base.

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Date

22. 6.2015 16:08:38

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Abstract

A large on-going activity for digitization, dissemination and preservation of cultural heritage is taking place in Europe, United States and the world, which involves all types of cultural institutions, i.e., galleries, libraries, museums, archives and all types of cultural content. The development of Europeana, as a single point of access to European Cultural Heritage, has probably been the most important result of the activities in the field till now. Semantic interoperability, linked open data, user involvement and user generated content are key issues in these developments. This paper presents a system that provides content providers and users the ability to map, in an effective way, their own metadata schemas to common domain standards and the Europeana (ESE, EDM) data models. The system is currently largely used by many European research projects and the Europeana. Based on these mappings, semantic query answering techniques are proposed as a means for effective access to digital cultural heritage, providing users with content enrichment, linking of data based on their involvement and facilitating content search and retrieval. An experimental study is presented, involving content from national content aggregators, as well as thematic content aggregators and the Europeana, which illustrates the proposed system

Content

Beitrag eines Schwerpunktthemas: Semantic Web and Reasoning for Cultural Heritage and Digital Libraries: http://www.semantic-web-journal.net/content/systemic-approach-eff%0Bective-semantic-access-cultural-content http://www.semantic-web-journal.net/sites/default/files/swj147_3.pdf.

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Source

Proceedings of the 15th European Networked Knowledge Organization Systems Workshop (NKOS 2016) co-located with the 20th International Conference on Theory and Practice of Digital Libraries 2016 (TPDL 2016), Hannover, Germany, September 9, 2016. Edi. by Philipp Mayr et al. [http://ceur-ws.org/Vol-1676/=urn:nbn:de:0074-1676-5]

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Content

Beitrag eines Schwerpunktthemas: Semantic Web and Reasoning for Cultural Heritage and Digital Libraries: http://www.semantic-web-journal.net/content/instance-based-semantic-interoperability-cultural-heritage http://www.semantic-web-journal.net/sites/default/files/swj157_1.pdf.

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Content

Text of presentations held at the international seminar "Global Interoperability and Linked Data in Libraries", Firenze, June 18-19, 2012.

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Source

Proceedings of the 15th European Networked Knowledge Organization Systems Workshop (NKOS 2016) co-located with the 20th International Conference on Theory and Practice of Digital Libraries 2016 (TPDL 2016), Hannover, Germany, September 9, 2016. Edi. by Philipp Mayr et al. [http://ceur-ws.org/Vol-1676/=urn:nbn:de:0074-1676-5]

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Abstract

Data from multiple knowledge organization systems are combined to provide a global overview of the content holdings of a small personal library. Subject headings and classification data are used to effectively map the combined book and topic space of the library. While harvested and manipulated by hand, the work reveals issues and potential solutions when using automated techniques to produce topic maps of much larger libraries. The small library visualized consists of the thirty-nine, digital, English language books found in the Osama Bin Laden (OBL) compound in Abbottabad, Pakistan upon his death. As this list of books has garnered considerable media attention, it is worth providing a visual overview of the subject content of these books - some of which is not readily apparent from the titles. Metadata from subject headings and classification numbers was combined to create book-subject maps. Tree maps of the classification data were also produced. The books contain 328 subject headings. In order to enhance the base map with meaningful thematic overlay, library holding count data was also harvested (and aggregated from duplicates). This additional data revealed the relative scarcity or popularity of individual books.

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Abstract

The focus of the project "coli-conc" lies in semi-automatic creation of mappings between different KOS in general and the two important library classification schemes in particular - Dewey classification system (DDC) and Regensburg classification system (RVK). In the year 2000, the national libraries of Germany, Austria and Switzerland adopted DDC in an endeavor to develop a nation-wide classification scheme. But historically, in the German speaking regions, the academic libraries have been using their own home-grown systems, the most prominent and popular being the RVK. However, with the launch of DDC, building concordances between DDC and RVK has become an imperative, although it is still rare. The delay in building comprehensive concordances between these two systems has been because of major challenges posed by the sheer largeness of these two systems (38.000 classes in DDC and ca. 860.000 classes in RVK), the strong disparity in their respective structure, the variation in the perception and representation of the concepts. The challenge is compounded geometrically for any manual attempt in this direction. Although there have been efforts on automatic mappings (OAEI Library Track 2012 -- 2014 and e.g. Pfeffer 2013) in the recent years; such concordances carry the risks of inaccurate mappings, and the approaches are rather more suitable for mapping suggestions than for automatic generation of concordances (Lauser 2008; Reiner 2010). The project "coli-conc" will facilitate the creation, evaluation, and reuse of mappings with a public collection of concordances and a web application of mapping management. The proposed presentation will give an introduction to the tools and standards created and planned in the project "coli-conc". This includes preliminary work on DDC concordances (Balakrishnan 2013), an overview of the software concept, technical architecture (Voß 2015) and a demonstration of the Cocoda web application.

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Abstract

This paper describes recent initiatives to make standard library metadata models and structures available to the Semantic Web, including IFLA standards such as Functional Requirements for Bibliographic Records (FRBR), Functional Requirements for Authority Data (FRAD), and International Standard Bibliographic Description (ISBD) along with the infrastructure that supports them. The FRBR Review Group is currently developing representations of FRAD and the entityrelationship model of FRBR in resource description framework (RDF) applications, using a combination of RDF, RDF Schema (RDFS), Simple Knowledge Organisation System (SKOS) and Web Ontology Language (OWL), cross-relating both models where appropriate. The ISBD/XML Task Group is investigating the representation of ISBD in RDF. The IFLA Namespaces project is developing an administrative and technical infrastructure to support such initiatives and encourage uptake of standards by other agencies. The paper describes similar initiatives with related external standards such as RDA - resource description and access, REICAT (the new Italian cataloguing rules) and CIDOC Conceptual Reference Model (CRM). The DCMI RDA Task Group is working with the Joint Steering Committee for RDA to develop Semantic Web representations of RDA structural elements, which are aligned with FRBR and FRAD, and controlled metadata content vocabularies. REICAT is also based on FRBR, and an object-oriented version of FRBR has been integrated with CRM, which itself has an RDF representation. CRM was initially based on the metadata needs of the museum community, and is now seeking extension to the archives community with the eventual aim of developing a model common to the main cultural information domains of archives, libraries and museums. The Vocabulary Mapping Framework (VMF) project has developed a Semantic Web tool to automatically generate mappings between metadata models from the information communities, including publishers. The tool is based on several standards, including CRM, FRAD, FRBR, MARC21 and RDA.

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Content

Beitrag eines Schwerpunktthemas: Semantic Web and Reasoning for Cultural Heritage and Digital Libraries: http://www.semantic-web-journal.net/content/frbr-ml-frbr-based-framework-semantic-interoperability-0 http://www.semantic-web-journal.net/sites/default/files/swj161_3.pdf.

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Source

Proceedings of the 15th European Networked Knowledge Organization Systems Workshop (NKOS 2016) co-located with the 20th International Conference on Theory and Practice of Digital Libraries 2016 (TPDL 2016), Hannover, Germany, September 9, 2016. Edi. by Philipp Mayr et al. [http://ceur-ws.org/Vol-1676/=urn:nbn:de:0074-1676-5]