Search (129 results, page 1 of 7)

0.13900207 = product of:
  0.2316701 = sum of:
    0.01871778 = weight(_text_:retrieval in 3371) [ClassicSimilarity], result of:
      0.01871778 = score(doc=3371,freq=2.0), product of:
        0.14001551 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.04628742 = queryNorm
        0.13368362 = fieldWeight in 3371, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.03125 = fieldNorm(doc=3371)
    0.17682262 = weight(_text_:semantic in 3371) [ClassicSimilarity], result of:
      0.17682262 = score(doc=3371,freq=50.0), product of:
        0.19245663 = queryWeight, product of:
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.04628742 = queryNorm
        0.918766 = fieldWeight in 3371, product of:
          7.071068 = tf(freq=50.0), with freq of:
            50.0 = termFreq=50.0
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.03125 = fieldNorm(doc=3371)
    0.036129702 = product of:
      0.072259404 = sum of:
        0.072259404 = weight(_text_:web in 3371) [ClassicSimilarity], result of:
          0.072259404 = score(doc=3371,freq=22.0), product of:
            0.15105948 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.04628742 = queryNorm
            0.47835067 = fieldWeight in 3371, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03125 = fieldNorm(doc=3371)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

Libraries have always been an inspiration for the standards and technologies developed by semantic web activities. However, except for the Dublin Core specification, semantic web and social networking technologies have not been widely adopted and further developed by major digital library initiatives and projects. Yet semantic technologies offer a new level of flexibility, interoperability, and relationships for digital repositories. Kruk and McDaniel present semantic web-related aspects of current digital library activities, and introduce their functionality; they show examples ranging from general architectural descriptions to detailed usages of specific ontologies, and thus stimulate the awareness of researchers, engineers, and potential users of those technologies. Their presentation is completed by chapters on existing prototype systems such as JeromeDL, BRICKS, and Greenstone, as well as a look into the possible future of semantic digital libraries. This book is aimed at researchers and graduate students in areas like digital libraries, the semantic web, social networks, and information retrieval. This audience will benefit from detailed descriptions of both today's possibilities and also the shortcomings of applying semantic web technologies to large digital repositories of often unstructured data.

Content

Inhalt: Introduction to Digital Libraries and Semantic Web: Introduction / Bill McDaniel and Sebastian Ryszard Kruk - Digital Libraries and Knowledge Organization / Dagobert Soergel - Semantic Web and Ontologies / Marcin Synak, Maciej Dabrowski and Sebastian Ryszard Kruk - Social Semantic Information Spaces / John G. Breslin A Vision of Semantic Digital Libraries: Goals of Semantic Digital Libraries / Sebastian Ryszard Kruk and Bill McDaniel - Architecture of Semantic Digital Libraries / Sebastian Ryszard Kruk, Adam Westerki and Ewelina Kruk - Long-time Preservation / Markus Reis Ontologies for Semantic Digital Libraries: Bibliographic Ontology / Maciej Dabrowski, Macin Synak and Sebastian Ryszard Kruk - Community-aware Ontologies / Slawomir Grzonkowski, Sebastian Ryszard Kruk, Adam Gzella, Jakub Demczuk and Bill McDaniel Prototypes of Semantic Digital Libraries: JeromeDL: The Social Semantic Digital Library / Sebastian Ryszard Kruk, Mariusz Cygan, Adam Gzella, Tomasz Woroniecki and Maciej Dabrowski - The BRICKS Digital Library Infrastructure / Bernhard Haslhofer and Predrag Knezevié - Semantics in Greenstone / Annika Hinze, George Buchanan, David Bainbridge and Ian Witten Building the Future - Semantic Digital Libraries in Use: Hyperbooks / Gilles Falquet, Luka Nerima and Jean-Claude Ziswiler - Semantic Digital Libraries for Archiving / Bill McDaniel - Evaluation of Semantic and Social Technologies for Digital Libraries / Sebastian Ryszard Kruk, Ewelina Kruk and Katarzyna Stankiewicz - Conclusions: The Future of Semantic Digital Libraries / Sebastian Ryszard Kruk and Bill McDaniel

LCSH

Semantic Web

RSWK

Elektronische Bibliothek / Semantic Web / Ontologie <Wissensverarbeitung> / Aufsatzsammlung

Subject

Elektronische Bibliothek / Semantic Web / Ontologie <Wissensverarbeitung> / Aufsatzsammlung
Semantic Web

0.13353398 = product of:
  0.22255664 = sum of:
    0.052317787 = weight(_text_:retrieval in 1905) [ClassicSimilarity], result of:
      0.052317787 = score(doc=1905,freq=10.0), product of:
        0.14001551 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.04628742 = queryNorm
        0.37365708 = fieldWeight in 1905, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1905)
    0.13979055 = weight(_text_:semantic in 1905) [ClassicSimilarity], result of:
      0.13979055 = score(doc=1905,freq=20.0), product of:
        0.19245663 = queryWeight, product of:
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.04628742 = queryNorm
        0.7263483 = fieldWeight in 1905, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1905)
    0.030448299 = product of:
      0.060896598 = sum of:
        0.060896598 = weight(_text_:web in 1905) [ClassicSimilarity], result of:
          0.060896598 = score(doc=1905,freq=10.0), product of:
            0.15105948 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.04628742 = queryNorm
            0.40312994 = fieldWeight in 1905, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1905)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

Purpose - The paper aims to argue that digital library retrieval should be based on semantic representations and propose a semantic infrastructure for digital libraries. Design/methodology/approach - The approach taken is formal model based on subject representation for digital libraries. Findings - Search engines and search techniques have fallen short of user expectations as they do not give context based retrieval. Deploying semantic web technologies would lead to efficient and more precise representation of digital library content and hence better retrieval. Though digital libraries often have metadata of information resources which can be accessed through OAI-PMH, much remains to be accomplished in making digital libraries semantic web compliant. This paper presents a semantic infrastructure for digital libraries, that will go a long way in providing them and web based information services with products highly customised to users needs. Research limitations/implications - Here only a model for semantic infrastructure is proposed. This model is proposed after studying current user-centric, top-down models adopted in digital library service architectures. Originality/value - This paper gives a generic model for building semantic infrastructure for digital libraries. Faceted ontologies for digital libraries is just one approach. But the same may be adopted by groups working with different approaches in building ontologies to realise efficient retrieval in digital libraries.

Footnote

Beitrag eines Themenheftes "Digital libraries and the semantic web: context, applications and research".

Theme

Semantic Web
Semantisches Umfeld in Indexierung u. Retrieval

0.095766954 = product of:
  0.15961158 = sum of:
    0.023397226 = weight(_text_:retrieval in 1909) [ClassicSimilarity], result of:
      0.023397226 = score(doc=1909,freq=2.0), product of:
        0.14001551 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.04628742 = queryNorm
        0.16710453 = fieldWeight in 1909, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1909)
    0.116957165 = weight(_text_:semantic in 1909) [ClassicSimilarity], result of:
      0.116957165 = score(doc=1909,freq=14.0), product of:
        0.19245663 = queryWeight, product of:
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.04628742 = queryNorm
        0.6077066 = fieldWeight in 1909, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1909)
    0.019257195 = product of:
      0.03851439 = sum of:
        0.03851439 = weight(_text_:web in 1909) [ClassicSimilarity], result of:
          0.03851439 = score(doc=1909,freq=4.0), product of:
            0.15105948 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.04628742 = queryNorm
            0.25496176 = fieldWeight in 1909, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1909)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

Purpose - The general science portal "vascoda" merges structured, high-quality information collections from more than 40 providers on the basis of search engine technology (FAST) and a concept which treats semantic heterogeneity between different controlled vocabularies. First experiences with the portal show some weaknesses of this approach which come out in most metadata-driven Digital Libraries (DLs) or subject specific portals. The purpose of the paper is to propose models to reduce the semantic complexity in heterogeneous DLs. The aim is to introduce value-added services (treatment of term vagueness and document re-ranking) that gain a certain quality in DLs if they are combined with heterogeneity components established in the project "Competence Center Modeling and Treatment of Semantic Heterogeneity". Design/methodology/approach - Two methods, which are derived from scientometrics and network analysis, will be implemented with the objective to re-rank result sets by the following structural properties: the ranking of the results by core journals (so-called Bradfordizing) and ranking by centrality of authors in co-authorship networks. Findings - The methods, which will be implemented, focus on the query and on the result side of a search and are designed to positively influence each other. Conceptually, they will improve the search quality and guarantee that the most relevant documents in result sets will be ranked higher. Originality/value - The central impact of the paper focuses on the integration of three structural value-adding methods, which aim at reducing the semantic complexity represented in distributed DLs at several stages in the information retrieval process: query construction, search and ranking and re-ranking.

Footnote

Beitrag eines Themenheftes "Digital libraries and the semantic web: context, applications and research".

Theme

Semantic Web

0.05510489 = product of:
  0.13776222 = sum of:
    0.100025974 = weight(_text_:semantic in 245) [ClassicSimilarity], result of:
      0.100025974 = score(doc=245,freq=4.0), product of:
        0.19245663 = queryWeight, product of:
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.04628742 = queryNorm
        0.51973253 = fieldWeight in 245, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.0625 = fieldNorm(doc=245)
    0.03773624 = product of:
      0.07547248 = sum of:
        0.07547248 = weight(_text_:web in 245) [ClassicSimilarity], result of:
          0.07547248 = score(doc=245,freq=6.0), product of:
            0.15105948 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.04628742 = queryNorm
            0.49962097 = fieldWeight in 245, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0625 = fieldNorm(doc=245)
      0.5 = coord(1/2)
  0.4 = coord(2/5)

Abstract

PhysNet (www.physnet.net) is a portal for Physics run since 1995 and continuously being developed; it today uses an OWLLite ontology and mySQL database for storing triples with the facts, such as department information, postal addresses, GPS coordinates, URLs of publication repositories, etc. The article focuses on the structure and the development of the underlying ontology; it also gives a detailed overview of an online web-based editorial tool, to maintain the facts database.

Footnote

Simultaneously published as Knitting the Semantic Web

Theme

Semantic Web

0.055000924 = product of:
  0.0916682 = sum of:
    0.03743556 = weight(_text_:retrieval in 2799) [ClassicSimilarity], result of:
      0.03743556 = score(doc=2799,freq=8.0), product of:
        0.14001551 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.04628742 = queryNorm
        0.26736724 = fieldWeight in 2799, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.03125 = fieldNorm(doc=2799)
    0.03536452 = weight(_text_:semantic in 2799) [ClassicSimilarity], result of:
      0.03536452 = score(doc=2799,freq=2.0), product of:
        0.19245663 = queryWeight, product of:
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.04628742 = queryNorm
        0.18375319 = fieldWeight in 2799, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.03125 = fieldNorm(doc=2799)
    0.01886812 = product of:
      0.03773624 = sum of:
        0.03773624 = weight(_text_:web in 2799) [ClassicSimilarity], result of:
          0.03773624 = score(doc=2799,freq=6.0), product of:
            0.15105948 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.04628742 = queryNorm
            0.24981049 = fieldWeight in 2799, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03125 = fieldNorm(doc=2799)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

Grounded on a strong belief that ontologies enhance the performance of information retrieval systems, there has been an upsurge of interest in ontologies. Its importance is identified in diverse research fields such as knowledge engineering, knowledge representation, qualitative modeling, language engineering, database design, information integration, object-oriented analysis, information retrieval and extraction, knowledge management and agent-based systems design (Guarino, 1998). While the role-played by ontologies, automatically lends a place of legitimacy for these tools, research in this area gains greater significance in the wake of various challenges faced in the contemporary digital environment. With the objective of overcoming various pitfalls associated with current search mechanisms, ontologies are increasingly used for developing efficient information retrieval systems. An indicator of research interest in the area of ontology is the Swoogle, a search engine for Semantic Web documents, terms and data found on the Web (Ding, Li et al, 2004). Given the complex nature of the digital content archived in digital libraries, ontologies can be employed for designing efficient forms of information retrieval in digital libraries. Knowledge representation assumes greater significance due to its crucial role in ontology development. These systems aid in developing intelligent information systems, wherein the notion of intelligence implies the ability of the system to find implicit consequences of its explicitly represented knowledge (Baader and Nutt, 2003). Knowledge representation formalisms such as 'Description Logics' are used to obtain explicit knowledge representation of the subject domain. These representations are developed into ontologies, which are used for developing intelligent information systems. Against this backdrop, the paper examines the use of Description Logics for conceptually modeling a chosen domain, which would be utilized for developing domain ontologies. The knowledge representation languages identified for this purpose are Web Ontology Language (OWL) and KArlsruhe ONtology (KAON) language. Drawing upon the various technical constructs in developing ontology-based information systems, the paper explains the working of the prototypes and also presents a comparative study of the two prototypes.

0.052634455 = product of:
  0.13158613 = sum of:
    0.03970641 = weight(_text_:retrieval in 3393) [ClassicSimilarity], result of:
      0.03970641 = score(doc=3393,freq=4.0), product of:
        0.14001551 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.04628742 = queryNorm
        0.2835858 = fieldWeight in 3393, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.046875 = fieldNorm(doc=3393)
    0.091879725 = weight(_text_:semantic in 3393) [ClassicSimilarity], result of:
      0.091879725 = score(doc=3393,freq=6.0), product of:
        0.19245663 = queryWeight, product of:
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.04628742 = queryNorm
        0.47740483 = fieldWeight in 3393, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.046875 = fieldNorm(doc=3393)
  0.4 = coord(2/5)

Abstract

Digital Libraries currently face the challenge of integrating many different types of research information (e.g. publications, primary data, expert's profiles, institutional profiles, project information etc.) according to their scientific users' needs. To date no general, integrated model for knowledge organization and retrieval in Digital Libraries exists. This causes the problem of structural and semantic heterogeneity due to the wide range of metadata standards, indexing vocabularies and indexing approaches used for different types of information. The research presented in this paper focuses on areas in which activities are being undertaken in the field of Digital Libraries in order to treat semantic interoperability problems. We present a model for the integrated retrieval of factual and textual data which combines multiple approaches to semantic interoperability und sets them into context. Embedded in the research cycle, traditional content indexing methods for publications meet the newer, but rarely used ontology-based approaches which seem to be better suited for representing complex information like the one contained in survey data. The benefits of our model are (1) easy re-use of available knowledge organisation systems and (2) reduced efforts for domain modelling with ontologies.

0.047618072 = product of:
  0.11904518 = sum of:
    0.032420147 = weight(_text_:retrieval in 175) [ClassicSimilarity], result of:
      0.032420147 = score(doc=175,freq=6.0), product of:
        0.14001551 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.04628742 = queryNorm
        0.23154683 = fieldWeight in 175, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.03125 = fieldNorm(doc=175)
    0.08662503 = weight(_text_:semantic in 175) [ClassicSimilarity], result of:
      0.08662503 = score(doc=175,freq=12.0), product of:
        0.19245663 = queryWeight, product of:
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.04628742 = queryNorm
        0.45010158 = fieldWeight in 175, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.03125 = fieldNorm(doc=175)
  0.4 = coord(2/5)

Abstract

There are many advantages for Digital Libraries in indexing with classifications or thesauri, but some current disincentive in the lack of flexible retrieval tools that deal with compound descriptors. This demonstration of a research prototype illustrates a matching function for compound descriptors, or multi-concept subject headings, that does not rely on exact matching but incorporates term expansion via thesaurus semantic relationships to produce ranked results that take account of missing and partially matching terms. The matching function is based on a measure of semantic closeness between terms.The work is part of the EPSRC funded FACET project in collaboration with the UK National Museum of Science and Industry (NMSI) which includes the National Railway Museum. An export of NMSI's Collections Database is used as the dataset for the research. The J. Paul Getty Trust's Art and Architecture Thesaurus (AAT) is the main thesaurus in the project. The AAT is a widely used thesaurus (over 120,000 terms). Descriptors are organised in 7 facets representing separate conceptual classes of terms.The FACET application is a multi tiered architecture accessing a SQL Server database, with an OLE DB connection. The thesauri are stored as relational tables in the Server's database. However, a key component of the system is a parallel representation of the underlying semantic network as an in-memory structure of thesaurus concepts (corresponding to preferred terms). The structure models the hierarchical and associative interrelationships of thesaurus concepts via weighted poly-hierarchical links. Its primary purpose is real-time semantic expansion of query terms, achieved by a spreading activation semantic closeness algorithm. Queries with associated results are stored persistently using XML format data. A Visual Basic interface combines a thesaurus browser and an initial term search facility that takes into account equivalence relationships. Terms are dragged to a direct manipulation Query Builder which maintains the facet structure.

Theme

Semantisches Umfeld in Indexierung u. Retrieval

0.041238464 = product of:
  0.10309616 = sum of:
    0.028076671 = weight(_text_:retrieval in 3818) [ClassicSimilarity], result of:
      0.028076671 = score(doc=3818,freq=2.0), product of:
        0.14001551 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.04628742 = queryNorm
        0.20052543 = fieldWeight in 3818, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.046875 = fieldNorm(doc=3818)
    0.075019486 = weight(_text_:semantic in 3818) [ClassicSimilarity], result of:
      0.075019486 = score(doc=3818,freq=4.0), product of:
        0.19245663 = queryWeight, product of:
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.04628742 = queryNorm
        0.38979942 = fieldWeight in 3818, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.046875 = fieldNorm(doc=3818)
  0.4 = coord(2/5)

Abstract

Semantic mapping between controlled vocabulary and keywords is the first step towards knowledge-based subject access. This study reports the preliminary result of a semantic mapping experiment for the Gateway to Educational Materials (GEM). A total of 3,555 keywords were mapped with 322 concept names in the GEM controlled vocabulary. The preliminary test to 10,000 metadata records presented widely varied sets of results between the mapped and non-mapped data. The paper discussed linguistic and technical problems encountered in the mapping process and raised issues in the representation technologies and methods, which will lead to future study of knowledge-based access to networked information resources.

Source

Subject retrieval in a networked environment: Proceedings of the IFLA Satellite Meeting held in Dublin, OH, 14-16 August 2001 and sponsored by the IFLA Classification and Indexing Section, the IFLA Information Technology Section and OCLC. Ed.: I.C. McIlwaine

0.04121657 = product of:
  0.103041425 = sum of:
    0.040525187 = weight(_text_:retrieval in 3368) [ClassicSimilarity], result of:
      0.040525187 = score(doc=3368,freq=6.0), product of:
        0.14001551 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.04628742 = queryNorm
        0.28943354 = fieldWeight in 3368, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3368)
    0.062516235 = weight(_text_:semantic in 3368) [ClassicSimilarity], result of:
      0.062516235 = score(doc=3368,freq=4.0), product of:
        0.19245663 = queryWeight, product of:
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.04628742 = queryNorm
        0.32483283 = fieldWeight in 3368, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3368)
  0.4 = coord(2/5)

Abstract

The explosive growth of literature and data in the life sciences challenges researchers to keep track of current advancements in their disciplines. Novel approaches in the life science like the One Health paradigm require integrated methodologies in order to link and connect heterogeneous information from databases and literature resources. Current publications in the life sciences are increasingly characterized by the employment of trans-disciplinary methodologies comprising molecular and cell biology, genetics, genomic, epigenomic, transcriptional and proteomic high throughput technologies with data from humans, plants, and animals. The literature search engine LIVIVO empowers retrieval functionality by incorporating various literature resources from medicine, health, environment, agriculture and nutrition. LIVIVO is developed in-house by ZB MED - Information Centre for Life Sciences. It provides a user-friendly and usability-tested search interface with a corpus of 55 Million citations derived from 50 databases. Standardized application programming interfaces are available for data export and high throughput retrieval. The search functions allow for semantic retrieval with filtering options based on life science entities. The service oriented architecture of LIVIVO uses four different implementation layers to deliver search services. A Knowledge Environment is developed by ZB MED to deal with the heterogeneity of data as an integrative approach to model, store, and link semantic concepts within literature resources and databases. Future work will focus on the exploitation of life science ontologies and on the employment of NLP technologies in order to improve query expansion, filters in faceted search, and concept based relevancy rankings in LIVIVO.

0.038241964 = product of:
  0.09560491 = sum of:
    0.033088673 = weight(_text_:retrieval in 3179) [ClassicSimilarity], result of:
      0.033088673 = score(doc=3179,freq=4.0), product of:
        0.14001551 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.04628742 = queryNorm
        0.23632148 = fieldWeight in 3179, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3179)
    0.062516235 = weight(_text_:semantic in 3179) [ClassicSimilarity], result of:
      0.062516235 = score(doc=3179,freq=4.0), product of:
        0.19245663 = queryWeight, product of:
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.04628742 = queryNorm
        0.32483283 = fieldWeight in 3179, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3179)
  0.4 = coord(2/5)

Abstract

There are many advantages for Digital Libraries in indexing with classifications or thesauri, but some current disincentive in the lack of flexible retrieval tools that deal with compound descriptors. This paper discusses a matching function for compound descriptors, or multi-concept subject headings, that does not rely an exact matching but incorporates term expansion via thesaurus semantic relationships to produce ranked results that take account of missing and partially matching terms. The matching function is based an a measure of semantic closeness between terms, which has the potential to help with recall problems. The work reported is part of the ongoing FACET project in collaboration with the National Museum of Science and Industry and its collections database. The architecture of the prototype system and its Interface are outlined. The matching problem for compound descriptors is reviewed and the FACET implementation described. Results are discussed from scenarios using the faceted Getty Art and Architecture Thesaurus. We argue that automatic traversal of thesaurus relationships can augment the user's browsing possibilities. The techniques can be applied both to unstructured multi-concept subject headings and potentially to more syntactically structured strings. The notion of a focus term is used by the matching function to model AAT modified descriptors (noun phrases). The relevance of the approach to precoordinated indexing and matching faceted strings is discussed.

Theme

Semantisches Umfeld in Indexierung u. Retrieval

0.037512474 = product of:
  0.09378118 = sum of:
    0.056153342 = weight(_text_:retrieval in 6040) [ClassicSimilarity], result of:
      0.056153342 = score(doc=6040,freq=2.0), product of:
        0.14001551 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.04628742 = queryNorm
        0.40105087 = fieldWeight in 6040, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.09375 = fieldNorm(doc=6040)
    0.03762784 = product of:
      0.07525568 = sum of:
        0.07525568 = weight(_text_:22 in 6040) [ClassicSimilarity], result of:
          0.07525568 = score(doc=6040,freq=2.0), product of:
            0.16209066 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04628742 = queryNorm
            0.46428138 = fieldWeight in 6040, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.09375 = fieldNorm(doc=6040)
      0.5 = coord(1/2)
  0.4 = coord(2/5)

Date

22. 6.2002 19:42:47

Theme

Klassifikationssysteme im Online-Retrieval

0.036543902 = product of:
  0.09135976 = sum of:
    0.075019486 = weight(_text_:semantic in 3967) [ClassicSimilarity], result of:
      0.075019486 = score(doc=3967,freq=4.0), product of:
        0.19245663 = queryWeight, product of:
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.04628742 = queryNorm
        0.38979942 = fieldWeight in 3967, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.046875 = fieldNorm(doc=3967)
    0.01634027 = product of:
      0.03268054 = sum of:
        0.03268054 = weight(_text_:web in 3967) [ClassicSimilarity], result of:
          0.03268054 = score(doc=3967,freq=2.0), product of:
            0.15105948 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.04628742 = queryNorm
            0.21634221 = fieldWeight in 3967, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=3967)
      0.5 = coord(1/2)
  0.4 = coord(2/5)

Abstract

The Europeana Data Model (EDM) is a new approach towards structuring and representing data delivered to Europeana by the various contributing cultural heritage institutions. The model aims at greater expressivity and flexibility in comparison to the current Europeana Semantic Elements (ESE), which it is destined to replace. The design principles underlying the EDM are based on the core principles and best practices of the Semantic Web and Linked Data efforts to which Europeana wants to contribute. The model itself builds upon established standards like RDF(S), OAI-ORE, SKOS, and Dublin Core. It acts as a common top-level ontology which retains original data models and information perspectives while at the same time enabling interoperability. The paper elaborates on the aforementioned aspects and the design principles which drove the development of the EDM.

0.03274801 = product of:
  0.16374004 = sum of:
    0.16374004 = weight(_text_:semantic in 3372) [ClassicSimilarity], result of:
      0.16374004 = score(doc=3372,freq=14.0), product of:
        0.19245663 = queryWeight, product of:
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.04628742 = queryNorm
        0.85078925 = fieldWeight in 3372, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3372)
  0.2 = coord(1/5)

Abstract

Through out this book we showed that Semantic Digital Libraries are no longer an abstract concept; we have presented both underlying technologies, examples of semantic digital libraries, and their applications. However, the bright future of this technology only begins, and we expect more and more genuine applications of semantic digital libraries to emerge. In this section we will spotlight on three of, in our opinion, the most promising of applications: semantic museums, eLearning 2.0, and semantic digital libraries in enterprises.

Source

Semantic digital libraries. Eds.: S.R. Kruk, B. McDaniel

0.032380622 = product of:
  0.08095156 = sum of:
    0.06188791 = weight(_text_:semantic in 1724) [ClassicSimilarity], result of:
      0.06188791 = score(doc=1724,freq=2.0), product of:
        0.19245663 = queryWeight, product of:
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.04628742 = queryNorm
        0.32156807 = fieldWeight in 1724, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1724)
    0.019063652 = product of:
      0.038127303 = sum of:
        0.038127303 = weight(_text_:web in 1724) [ClassicSimilarity], result of:
          0.038127303 = score(doc=1724,freq=2.0), product of:
            0.15105948 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.04628742 = queryNorm
            0.25239927 = fieldWeight in 1724, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1724)
      0.5 = coord(1/2)
  0.4 = coord(2/5)

Theme

Semantic Web

0.03121084 = product of:
  0.0780271 = sum of:
    0.052941877 = weight(_text_:retrieval in 4869) [ClassicSimilarity], result of:
      0.052941877 = score(doc=4869,freq=4.0), product of:
        0.14001551 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.04628742 = queryNorm
        0.37811437 = fieldWeight in 4869, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0625 = fieldNorm(doc=4869)
    0.025085226 = product of:
      0.05017045 = sum of:
        0.05017045 = weight(_text_:22 in 4869) [ClassicSimilarity], result of:
          0.05017045 = score(doc=4869,freq=2.0), product of:
            0.16209066 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04628742 = queryNorm
            0.30952093 = fieldWeight in 4869, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0625 = fieldNorm(doc=4869)
      0.5 = coord(1/2)
  0.4 = coord(2/5)

Abstract

This article gives an overview of the design and organisation of DutchESS, a Dutch information subject gateway created as a national collaborative effort of the National Library and a number of academic libraries. The combined centralised and distributed model of DutchESS is discussed, as well as its selection policy, its metadata format, classification scheme and retrieval options. Also some options for future collaboration on an international level are explored

Date

22. 6.2002 19:39:23

Theme

Klassifikationssysteme im Online-Retrieval

0.031091845 = product of:
  0.15545923 = sum of:
    0.15545923 = sum of:
      0.11783138 = weight(_text_:web in 2733) [ClassicSimilarity], result of:
        0.11783138 = score(doc=2733,freq=26.0), product of:
          0.15105948 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.04628742 = queryNorm
          0.780033 = fieldWeight in 2733, product of:
            5.0990195 = tf(freq=26.0), with freq of:
              26.0 = termFreq=26.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.046875 = fieldNorm(doc=2733)
      0.03762784 = weight(_text_:22 in 2733) [ClassicSimilarity], result of:
        0.03762784 = score(doc=2733,freq=2.0), product of:
          0.16209066 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.04628742 = queryNorm
          0.23214069 = fieldWeight in 2733, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=2733)
  0.2 = coord(1/5)

Abstract

While the Web has grown significantly in recent years, some portions of the Web remain largely underdeveloped, as shown in a lack of high-quality content and functionality. An example is the Arabic Web, in which a lack of well-structured Web directories limits users' ability to browse for Arabic resources. In this research, we proposed an approach to building Web directories for the underdeveloped Web and developed a proof-of-concept prototype called the Arabic Medical Web Directory (AMedDir) that supports browsing of over 5,000 Arabic medical Web sites and pages organized in a hierarchical structure. We conducted an experiment involving Arab participants and found that the AMedDir significantly outperformed two benchmark Arabic Web directories in terms of browsing effectiveness, efficiency, information quality, and user satisfaction. Participants expressed strong preference for the AMedDir and provided many positive comments. This research thus contributes to developing a useful Web directory for organizing the information in the Arabic medical domain and to a better understanding of how to support browsing on the underdeveloped Web.

Date

22. 3.2009 17:57:50

0.027754819 = product of:
  0.06938705 = sum of:
    0.05304678 = weight(_text_:semantic in 2626) [ClassicSimilarity], result of:
      0.05304678 = score(doc=2626,freq=2.0), product of:
        0.19245663 = queryWeight, product of:
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.04628742 = queryNorm
        0.2756298 = fieldWeight in 2626, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.046875 = fieldNorm(doc=2626)
    0.01634027 = product of:
      0.03268054 = sum of:
        0.03268054 = weight(_text_:web in 2626) [ClassicSimilarity], result of:
          0.03268054 = score(doc=2626,freq=2.0), product of:
            0.15105948 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.04628742 = queryNorm
            0.21634221 = fieldWeight in 2626, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=2626)
      0.5 = coord(1/2)
  0.4 = coord(2/5)

Abstract

Even as the number of Web-enabled resources and knowledge repositories continues its unabated climb, both general purpose and domain-specific metadata schemas are in vigorous development. While this might be viewed as a promising direction for more precise access to disparate metadata-enabled resources, semantically-oriented tools to facilitate cross-domain searching by end-users unfamiliar with structured approaches to language or particular metadata schema conventions have received little attention. This paper describes findings from a focus group assessment of a natural language "gateway" previously derived from mapping, then categorizing terminology from nine metadata schemas. Semantic ambiguities identified in relation to three core metadata elements, namely, "Names", "Title", and "Subject", are discussed relative to data collection techniques employed in the research. Implications for further research, and particularly that pertaining to the design of an Interlingua gateway to multilingual, metadata-enabled resources, are addressed.

0.027298829 = product of:
  0.06824707 = sum of:
    0.03743556 = weight(_text_:retrieval in 3958) [ClassicSimilarity], result of:
      0.03743556 = score(doc=3958,freq=2.0), product of:
        0.14001551 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.04628742 = queryNorm
        0.26736724 = fieldWeight in 3958, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0625 = fieldNorm(doc=3958)
    0.030811511 = product of:
      0.061623022 = sum of:
        0.061623022 = weight(_text_:web in 3958) [ClassicSimilarity], result of:
          0.061623022 = score(doc=3958,freq=4.0), product of:
            0.15105948 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.04628742 = queryNorm
            0.4079388 = fieldWeight in 3958, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0625 = fieldNorm(doc=3958)
      0.5 = coord(1/2)
  0.4 = coord(2/5)

Abstract

Introduction to various classificatory structures currently used to organize and make collections of Web-based resources in education more accessible to educators, education specialists, and the general public. Presentation of other models which could also be useful.

Source

Subject retrieval in a networked environment: Proceedings of the IFLA Satellite Meeting held in Dublin, OH, 14-16 August 2001 and sponsored by the IFLA Classification and Indexing Section, the IFLA Information Technology Section and OCLC. Ed.: I.C. McIlwaine

0.02704115 = product of:
  0.06760287 = sum of:
    0.023397226 = weight(_text_:retrieval in 4879) [ClassicSimilarity], result of:
      0.023397226 = score(doc=4879,freq=2.0), product of:
        0.14001551 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.04628742 = queryNorm
        0.16710453 = fieldWeight in 4879, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4879)
    0.04420565 = weight(_text_:semantic in 4879) [ClassicSimilarity], result of:
      0.04420565 = score(doc=4879,freq=2.0), product of:
        0.19245663 = queryWeight, product of:
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.04628742 = queryNorm
        0.22969149 = fieldWeight in 4879, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.1578603 = idf(docFreq=1879, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4879)
  0.4 = coord(2/5)

Abstract

The paper gives a short overview of the history of use of UDC in Internet subject gateways (SGs) with an English interface, from 1993 to 2006. There were in total, nine quality controlled SGs that were functional for shorter or longer periods of time. Their typology and functionality is described. Quality SGs have evolved and the role of classification has changed accordingly from supporting subject organization on the interface and automatic categorization of resources, towards supporting a semantic linking, control and vocabulary mapping between different indexing systems in subject hubs and federated SGs. In this period, many SGs ceased to exist and little information remains available regarding their status. SGs currently using UDC, for some part of their resource organization, do not use a UDC subject hierarchy at the interface and its role in resource indexing has become more difficult to observe. Since 2000, UDC has become more prevalent in East European SGs, portals and hubs, which are outside the scope of this research. This paper is an attempt to provide a record on this particular application of UDC and to offer some consideration of the changes in requirements when it comes to the use of library classification in resource discovery.

Theme

Klassifikationssysteme im Online-Retrieval

0.025008315 = product of:
  0.06252079 = sum of:
    0.03743556 = weight(_text_:retrieval in 4867) [ClassicSimilarity], result of:
      0.03743556 = score(doc=4867,freq=2.0), product of:
        0.14001551 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.04628742 = queryNorm
        0.26736724 = fieldWeight in 4867, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0625 = fieldNorm(doc=4867)
    0.025085226 = product of:
      0.05017045 = sum of:
        0.05017045 = weight(_text_:22 in 4867) [ClassicSimilarity], result of:
          0.05017045 = score(doc=4867,freq=2.0), product of:
            0.16209066 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04628742 = queryNorm
            0.30952093 = fieldWeight in 4867, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0625 = fieldNorm(doc=4867)
      0.5 = coord(1/2)
  0.4 = coord(2/5)

Abstract

The current subject gateways have evolved over time when the discipline of Internet resource discovery was in its infancy. This is reflected by the lack of well-established, light-weight, deployable, easy-to-use, standards for metadata and information retrieval. We provide an introduction to the architecture, standards and software solutions in use by subject gateways, and to the issues that must be addressed to support future subject gateways

Date

22. 6.2002 19:38:24