Search (41 results, page 1 of 3)

  • × theme_ss:"Wissensrepräsentation"
  • × year_i:[2000 TO 2010}
  1. Tudhope, D.; Hodge, G.: Terminology registries (2007) 0.08
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    Date
    26.12.2011 13:22:07
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  2. Zeng, M.L.; Fan, W.; Lin, X.: SKOS for an integrated vocabulary structure (2008) 0.07
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    Abstract
    In order to transfer the Chinese Classified Thesaurus (CCT) into a machine-processable format and provide CCT-based Web services, a pilot study has been conducted in which a variety of selected CCT classes and mapped thesaurus entries are encoded with SKOS. OWL and RDFS are also used to encode the same contents for the purposes of feasibility and cost-benefit comparison. CCT is a collected effort led by the National Library of China. It is an integration of the national standards Chinese Library Classification (CLC) 4th edition and Chinese Thesaurus (CT). As a manually created mapping product, CCT provides for each of the classes the corresponding thesaurus terms, and vice versa. The coverage of CCT includes four major clusters: philosophy, social sciences and humanities, natural sciences and technologies, and general works. There are 22 main-classes, 52,992 sub-classes and divisions, 110,837 preferred thesaurus terms, 35,690 entry terms (non-preferred terms), and 59,738 pre-coordinated headings (Chinese Classified Thesaurus, 2005) Major challenges of encoding this large vocabulary comes from its integrated structure. CCT is a result of the combination of two structures (illustrated in Figure 1): a thesaurus that uses ISO-2788 standardized structure and a classification scheme that is basically enumerative, but provides some flexibility for several kinds of synthetic mechanisms Other challenges include the complex relationships caused by differences of granularities of two original schemes and their presentation with various levels of SKOS elements; as well as the diverse coordination of entries due to the use of auxiliary tables and pre-coordinated headings derived from combining classes, subdivisions, and thesaurus terms, which do not correspond to existing unique identifiers. The poster reports the progress, shares the sample SKOS entries, and summarizes problems identified during the SKOS encoding process. Although OWL Lite and OWL Full provide richer expressiveness, the cost-benefit issues and the final purposes of encoding CCT raise questions of using such approaches.
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
  3. Müller, T.: Wissensrepräsentation mit semantischen Netzen im Bereich Luftfahrt (2006) 0.05
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    Abstract
    Das Ziel der vorliegenden Arbeit ist es, ein Modell für ein Informationssystems zu erstellen und die Voraussetzungen und Aspekte zu betrachten, die notwendig sind, um Einsichten in die begrifflichen Zusammenhänge des Gegenstandsbereiches Luftfahrt zu erlangen. Der Ansatz, der hier erläutert wird, plädiert für die Konstruktion einer begrifflichen Wissensstruktur in Form eines semantischen Netzes. Ausgangspunkt dieser Überlegungen ist die Auffassung, daß zwar das kontrollierte Vokabular eines Thesaurus mit seiner Verweisstruktur vielfältiges Wissen enthält, das aber aufgrund der drei klassischen Standardrelationen nur unzureichend repräsentiert und damit auch nur beschränkt zugänglich ist. Es wird erläutert, welche Vorteile eine Erweiterung der drei Thesaurusrelationen erbringen kann und in welcher Funktion die Relationen bei der Formulierung der Suchanfrage unterstützend sein können. Gezeigt wird, wie die Begriffstrukturen eines semantischen Netzes deutlicher hervortreten, wenn bei der Erstellung einer Wissensstruktur eines Gegenstandsbereiches Kategorien zugrunde gelegt werden und welche Gestaltungsprinzipien den Suchprozeß unterstützen können. Dazu werden die Voraussetzungen erörtert, die garantieren, daß komplexe Suchanfragen (erfolgreich) geleistet werden können und zu präzisen Treffermengen führen.
    Date
    26. 9.2006 21:00:22
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  4. Dextre Clarke, S.G.; Will, L.D.; Cochard, N.: ¬The BS8723 thesaurus data model and exchange format, and its relationship to SKOS (2008) 0.05
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  5. Mazzocchi, F.; Plini, P.: Refining thesaurus relational structure : implications and opportunities (2008) 0.04
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    Abstract
    In this paper the possibility to develop a richer relational structure for thesauri is explored and described. The development of a new environmental thesaurus - EARTh (Environmental Applications Reference Thesaurus) - is serving as a case study for exploring the refinement of thesaurus relational structure by specialising standard relationships into different subtypes. Together with benefits and opportunities, implications and possible challenges that an expanded set of thesaurus relations may cause are evaluated.
    Object
    EARTh-Thesaurus
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  6. Quick Guide to Publishing a Thesaurus on the Semantic Web (2008) 0.04
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    Abstract
    This document describes in brief how to express the content and structure of a thesaurus, and metadata about a thesaurus, in RDF. Using RDF allows data to be linked to and/or merged with other RDF data by semantic web applications. The Semantic Web, which is based on the Resource Description Framework (RDF), provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries.
    Source
    http://www.w3.org/TR/2005/WD-swbp-thesaurus-pubguide-20050517/
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  7. Will, L.D.: UML model : as given in British Standard Draft for Development DD8723-5:2008 (2008) 0.03
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  8. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.03
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    Content
    Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.
  9. Ulrich, W.: Simple Knowledge Organisation System (2007) 0.03
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    Content
    Semantic Web - Taxonomie und Thesaurus - SKOS - Historie - Klassen und Eigenschaften - Beispiele - Generierung - automatisiert - per Folksonomie - Fazit und Ausblick
  10. Fischer, D.H.: Converting a thesaurus to OWL : Notes on the paper "The National Cancer Institute's Thesaurus and Ontology" (2004) 0.03
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    Abstract
    The paper analysed here is a kind of position paper. In order to get a better under-standing of the reported work I used the retrieval interface of the thesaurus, the so-called NCI DTS Browser accessible via the Web3, and I perused the cited OWL file4 with numerous "Find" and "Find next" string searches. In addition the file was im-ported into Protégé 2000, Release 2.0, with OWL Plugin 1.0 and Racer Plugin 1.7.14. At the end of the paper's introduction the authors say: "In the following sections, this paper will describe the terminology development process at NCI, and the issues associated with converting a description logic based nomenclature to a semantically rich OWL ontology." While I will not deal with the first part, i.e. the terminology development process at NCI, I do not see the thesaurus as a description logic based nomenclature, or its cur-rent state and conversion already result in a "rich" OWL ontology. What does "rich" mean here? According to my view there is a great quantity of concepts and links but a very poor description logic structure which enables inferences. And what does the fol-lowing really mean, which is said a few lines previously: "Although editors have defined a number of named ontologic relations to support the description-logic based structure of the Thesaurus, additional relation-ships are considered for inclusion as required to support dependent applications."
    According to my findings several relations available in the thesaurus query interface as "roles", are not used, i.e. there are not yet any assertions with them. And those which are used do not contribute to complete concept definitions of concepts which represent thesaurus main entries. In other words: The authors claim to already have a "description logic based nomenclature", where there is not yet one which deserves that title by being much more than a thesaurus with strict subsumption and additional inheritable semantic links. In the last section of the paper the authors say: "The most time consuming process in this conversion was making a careful analysis of the Thesaurus to understand the best way to translate it into OWL." "For other conversions, these same types of distinctions and decisions must be made. The expressive power of a proprietary encoding can vary widely from that in OWL or RDF. Understanding the original semantics and engineering a solution that most closely duplicates it is critical for creating a useful and accu-rate ontology." My question is: What decisions were made and are they exemplary, can they be rec-ommended as "the best way"? I raise strong doubts with respect to that, and I miss more profound discussions of the issues at stake. The following notes are dedicated to a critical description and assessment of the results of that conversion activity. They are written in a tutorial style more or less addressing students, but myself being a learner especially in the field of medical knowledge representation I do not speak "ex cathedra".
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  11. Boteram, F.: Semantische Relationen in Dokumentationssprachen : vom Thesaurus zum semantischen Netz (2008) 0.02
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  12. ISO 25964 Thesauri and interoperability with other vocabularies (2008) 0.02
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    Abstract
    T.1: Today's thesauri are mostly electronic tools, having moved on from the paper-based era when thesaurus standards were first developed. They are built and maintained with the support of software and need to integrate with other software, such as search engines and content management systems. Whereas in the past thesauri were designed for information professionals trained in indexing and searching, today there is a demand for vocabularies that untrained users will find to be intuitive. ISO 25964 makes the transition needed for the world of electronic information management. However, part 1 retains the assumption that human intellect is usually involved in the selection of indexing terms and in the selection of search terms. If both the indexer and the searcher are guided to choose the same term for the same concept, then relevant documents will be retrieved. This is the main principle underlying thesaurus design, even though a thesaurus built for human users may also be applied in situations where computers make the choices. Efficient exchange of data is a vital component of thesaurus management and exploitation. Hence the inclusion in this standard of recommendations for exchange formats and protocols. Adoption of these will facilitate interoperability between thesaurus management systems and the other computer applications, such as indexing and retrieval systems, that will utilize the data. Thesauri are typically used in post-coordinate retrieval systems, but may also be applied to hierarchical directories, pre-coordinate indexes and classification systems. Increasingly, thesaurus applications need to mesh with others, such as automatic categorization schemes, free-text search systems, etc. Part 2 of ISO 25964 describes additional types of structured vocabulary and gives recommendations to enable interoperation of the vocabularies at all stages of the information storage and retrieval process.
    T.2: The ability to identify and locate relevant information among vast collections and other resources is a major and pressing challenge today. Several different types of vocabulary are in use for this purpose. Some of the most widely used vocabularies were designed a hundred years ago and have been evolving steadily. A different generation of vocabularies is now emerging, designed to exploit the electronic media more effectively. A good understanding of the previous generation is still essential for effective access to collections indexed with them. An important object of ISO 25964 as a whole is to support data exchange and other forms of interoperability in circumstances in which more than one structured vocabulary is applied within one retrieval system or network. Sometimes one vocabulary has to be mapped to another, and it is important to understand both the potential and the limitations of such mappings. In other systems, a thesaurus is mapped to a classification scheme, or an ontology to a thesaurus. Comprehensive interoperability needs to cover the whole range of vocabulary types, whether young or old. Concepts in different vocabularies are related only in that they have the same or similar meaning. However, the meaning can be found in a number of different aspects within each particular type of structured vocabulary: - within terms or captions selected in different languages; - in the notation assigned indicating a place within a larger hierarchy; - in the definition, scope notes, history notes and other notes that explain the significance of that concept; and - in explicit relationships to other concepts or entities within the same vocabulary. In order to create mappings from one structured vocabulary to another it is first necessary to understand, within the context of each different type of structured vocabulary, the significance and relative importance of each of the different elements in defining the meaning of that particular concept. ISO 25964-1 describes the key characteristics of thesauri along with additional advice on best practice. ISO 25964-2 focuses on other types of vocabulary and does not attempt to cover all aspects of good practice. It concentrates on those aspects which need to be understood if one of the vocabularies is to work effectively alongside one or more of the others. Recognizing that a new standard cannot be applied to some existing vocabularies, this part of ISO 25964 provides informative description alongside the recommendations, the aim of which is to enable users and system developers to interpret and implement the existing vocabularies effectively. The remainder of ISO 25964-2 deals with the principles and practicalities of establishing mappings between vocabularies.
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  13. Ibekwe-SanJuan, F.: Constructing and maintaining knowledge organization tools : a symbolic approach (2006) 0.02
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    Abstract
    Purpose - To propose a comprehensive and semi-automatic method for constructing or updating knowledge organization tools such as thesauri. Design/methodology/approach - The paper proposes a comprehensive methodology for thesaurus construction and maintenance combining shallow NLP with a clustering algorithm and an information visualization interface. The resulting system TermWatch, extracts terms from a text collection, mines semantic relations between them using complementary linguistic approaches and clusters terms using these semantic relations. The clusters are mapped onto a 2D using an integrated visualization tool. Findings - The clusters formed exhibit the different relations necessary to populate a thesaurus or ontology: synonymy, generic/specific and relatedness. The clusters represent, for a given term, its closest neighbours in terms of semantic relations. Practical implications - This could change the way in which information professionals (librarians and documentalists) undertake knowledge organization tasks. TermWatch can be useful either as a starting point for grasping the conceptual organization of knowledge in a huge text collection without having to read the texts, then actually serving as a suggestive tool for populating different hierarchies of a thesaurus or an ontology because its clusters are based on semantic relations. Originality/value - This lies in several points: combined use of linguistic relations with an adapted clustering algorithm, which is scalable and can handle sparse data. The paper proposes a comprehensive approach to semantic relations acquisition whereas existing studies often use one or two approaches. The domain knowledge maps produced by the system represents an added advantage over existing approaches to automatic thesaurus construction in that clusters are formed using semantic relations between domain terms. Thus while offering a meaningful synthesis of the information contained in the original corpus through clustering, the results can be used for knowledge organization tasks (thesaurus building and ontology population) The system also constitutes a platform for performing several knowledge-oriented tasks like science and technology watch, textmining, query refinement.
  14. Broughton, V.: Language related problems in the construction of faceted terminologies and their automatic management (2008) 0.02
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    Content
    The paper describes current work on the generation of a thesaurus format from the schedules of the Bliss Bibliographic Classification 2nd edition (BC2). The practical problems that occur in moving from a concept based approach to a terminological approach cluster around issues of vocabulary control that are not fully addressed in a systematic structure. These difficulties can be exacerbated within domains in the humanities because large numbers of culture specific terms may need to be accommodated in any thesaurus. The ways in which these problems can be resolved within the context of a semi-automated approach to the thesaurus generation have consequences for the management of classification data in the source vocabulary. The way in which the vocabulary is marked up for the purpose of machine manipulation is described, and some of the implications for editorial policy are discussed and examples given. The value of the classification notation as a language independent representation and mapping tool should not be sacrificed in such an exercise.
  15. Boteram, F.: Semantische Relationen in Dokumentationssprachen : vom Thesaurus zum semantischen Netz (2008) 0.02
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  16. Stuckenschmidt, H.; Harmelen, F van; Waard, A. de; Scerri, T.; Bhogal, R.; Buel, J. van; Crowlesmith, I.; Fluit, C.; Kampman, A.; Broekstra, J.; Mulligen, E. van: Exploring large document repositories with RDF technology : the DOPE project (2004) 0.02
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    Abstract
    This thesaurus-based search system uses automatic indexing, RDF-based querying, and concept-based visualization of results to support exploration of large online document repositories. Innovative research institutes rely on the availability of complete and accurate information about new research and development. Information providers such as Elsevier make it their business to provide the required information in a cost-effective way. The Semantic Web will likely contribute significantly to this effort because it facilitates access to an unprecedented quantity of data. The DOPE project (Drug Ontology Project for Elsevier) explores ways to provide access to multiple lifescience information sources through a single interface. With the unremitting growth of scientific information, integrating access to all this information remains an important problem, primarily because the information sources involved are so heterogeneous. Sources might use different syntactic standards (syntactic heterogeneity), organize information in different ways (structural heterogeneity), and even use different terminologies to refer to the same information (semantic heterogeneity). Integrated access hinges on the ability to address these different kinds of heterogeneity. Also, mental models and keywords for accessing data generally diverge between subject areas and communities; hence, many different ontologies have emerged. An ideal architecture must therefore support the disclosure of distributed and heterogeneous data sources through different ontologies. To serve this need, we've developed a thesaurus-based search system that uses automatic indexing, RDF-based querying, and concept-based visualization. We describe here the conversion of an existing proprietary thesaurus to an open standard format, a generic architecture for thesaurus-based information access, an innovative user interface, and results of initial user studies with the resulting DOPE system.
  17. Assem, M. van; Menken, M.R.; Schreiber, G.; Wielemaker, J.; Wielinga, B.: ¬A method for converting thesauri to RDF/OWL (2004) 0.02
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  18. Fenske, M.: Modell eines automatisierbaren syntaktischen Metathesaurus und seine Eignung für parlamentarische Thesauri im Internet (2006) 0.01
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  19. Yi, M.: Information organization and retrieval using a topic maps-based ontology : results of a task-based evaluation (2008) 0.01
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    Abstract
    As information becomes richer and more complex, alternative information-organization methods are needed to more effectively and efficiently retrieve information from various systems, including the Web. The objective of this study is to explore how a Topic Maps-based ontology approach affects users' searching performance. Forty participants participated in a task-based evaluation where two dependent variables, recall and search time, were measured. The results of this study indicate that a Topic Maps-based ontology information retrieval (TOIR) system has a significant and positive effect on both recall and search time, compared to a thesaurus-based information retrieval (TIR) system. These results suggest that the inclusion of a Topic Maps-based ontology is a beneficial approach to take when designing information retrieval systems.
  20. Wielinga, B.; Wielemaker, J.; Schreiber, G.; Assem, M. van: Methods for porting resources to the Semantic Web (2004) 0.01
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    Object
    Art and architecture thesaurus

Languages

  • e 30
  • d 9

Types

  • a 24
  • el 17
  • x 5
  • n 2
  • r 1
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