Search (37 results, page 1 of 2)

  • × theme_ss:"Theorie verbaler Dokumentationssprachen"
  • × year_i:[2000 TO 2010}
  1. Evens, M.: Thesaural relations in information retrieval (2002) 0.01 
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    Abstract
    Thesaural relations have long been used in information retrieval to enrich queries; they have sometimes been used to cluster documents as well. Sometimes the first query to an information retrieval system yields no results at all, or, what can be even more disconcerting, many thousands of hits. One solution is to rephrase the query, improving the choice of query terms by using related terms of different types. A collection of related terms is often called a thesaurus. This chapter describes the lexical-semantic relations that have been used in building thesauri and summarizes some of the effects of using these relational thesauri in information retrieval experiments
    Series
    Information science and knowledge management; vol.3
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  2. Dextre Clarke, S.G.: Thesaural relationships (2001) 0.01 
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    Abstract
    A thesaurus in the controlled vocabulary environment is a tool designed to support effective infonnation retrieval (IR) by guiding indexers and searchers consistently to choose the same terms for expressing a given concept or combination of concepts. Terms in the thesaurus are linked by relationships of three well-known types: equivalence, hierarchical, and associative. The functions and properties of these three basic types and some subcategories are described, as well as some additional relationship types conunonly found in thesauri. Progressive automation of IR processes and the capability for simultaneous searching of vast networked resources are creating some pressures for change in the categorization and consistency of relationships.
    Date
    22. 9.2007 15:45:57
    Series
    Information science and knowledge management; vol.2
  3. Relationships in the organization of knowledge (2001) 0.01 
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    Abstract
    With fourteen contributions grouped in two sections, "Theoretical background" and "Systems", this work discusses the most common relationships used in the organization of recorded knowledge to facilitate information retrieval: the relationships between bibliographic entities, intra- and intertextual relationships, relevance relationships, and subject relationships in thesauri and other classificatory structures. The editors' goal is to "spur further interest, debate, research, and development".
    Content
    Enthält u.a. die Beiträge: GREEN, R.: Relationships in the organization of knowledge: an overview; TILLETT, B.: Bibliographic relationships; CLARKE, S.G.D.: Thesaural relationships; MILSTEAD, J.L.: Standards for relationships between subject indexing terms; HUDON, M.: Relationships in multilingual thesauri; BODENREIDER, O. u. C.A. BEAN: Relationships among knowledge structures: vocabulary integration within a subject domain; BEGHTOL, C.: Relationships in classificatory structure and meaning; BEAN, C.A. u. R. GREEN: Relevance relationships; EL-HOSHY, L.M.: Relationships in Library of Congress Subject Headings; MOLHOLT, P.: The Art and Architecture Thesaurus: controlling relationships through rules and structure; NELSON, S.J. u.a.: Relationships in Medical Subject Headings (MeSH); NEELAMEGHAN, A.: Lateral relationships in multicultural, mulrilingual databases in the spiritual and religous domains: the OM information service; SATIJA, M.P.: Relationships in Ranganathan's Colon classification; MITCHELL, J.S.: Relationships in the Dewey Decimal Classification System
    Series
    Information science and knowledge management; vol.2
  4. Maniez, J.: Actualité des langages documentaires : fondements théoriques de la recherche d'information (2002) 0.01 
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    Footnote
    Übers. d. Titels: Actuality of information languages: theoretical foundation of information retrieval
  5. Khoo, S.G.; Na, J.-C.: Semantic relations in information science (2006) 0.01 
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    Abstract
    This chapter examines the nature of semantic relations and their main applications in information science. The nature and types of semantic relations are discussed from the perspectives of linguistics and psychology. An overview of the semantic relations used in knowledge structures such as thesauri and ontologies is provided, as well as the main techniques used in the automatic extraction of semantic relations from text. The chapter then reviews the use of semantic relations in information extraction, information retrieval, question-answering, and automatic text summarization applications. Concepts and relations are the foundation of knowledge and thought. When we look at the world, we perceive not a mass of colors but objects to which we automatically assign category labels. Our perceptual system automatically segments the world into concepts and categories. Concepts are the building blocks of knowledge; relations act as the cement that links concepts into knowledge structures. We spend much of our lives identifying regular associations and relations between objects, events, and processes so that the world has an understandable structure and predictability. Our lives and work depend on the accuracy and richness of this knowledge structure and its web of relations. Relations are needed for reasoning and inferencing. Chaffin and Herrmann (1988b, p. 290) noted that "relations between ideas have long been viewed as basic to thought, language, comprehension, and memory." Aristotle's Metaphysics (Aristotle, 1961; McKeon, expounded on several types of relations. The majority of the 30 entries in a section of the Metaphysics known today as the Philosophical Lexicon referred to relations and attributes, including cause, part-whole, same and opposite, quality (i.e., attribute) and kind-of, and defined different types of each relation. Hume (1955) pointed out that there is a connection between successive ideas in our minds, even in our dreams, and that the introduction of an idea in our mind automatically recalls an associated idea. He argued that all the objects of human reasoning are divided into relations of ideas and matters of fact and that factual reasoning is founded on the cause-effect relation. His Treatise of Human Nature identified seven kinds of relations: resemblance, identity, relations of time and place, proportion in quantity or number, degrees in quality, contrariety, and causation. Mill (1974, pp. 989-1004) discoursed on several types of relations, claiming that all things are either feelings, substances, or attributes, and that attributes can be a quality (which belongs to one object) or a relation to other objects.
    Linguists in the structuralist tradition (e.g., Lyons, 1977; Saussure, 1959) have asserted that concepts cannot be defined on their own but only in relation to other concepts. Semantic relations appear to reflect a logical structure in the fundamental nature of thought (Caplan & Herrmann, 1993). Green, Bean, and Myaeng (2002) noted that semantic relations play a critical role in how we represent knowledge psychologically, linguistically, and computationally, and that many systems of knowledge representation start with a basic distinction between entities and relations. Green (2001, p. 3) said that "relationships are involved as we combine simple entities to form more complex entities, as we compare entities, as we group entities, as one entity performs a process on another entity, and so forth. Indeed, many things that we might initially regard as basic and elemental are revealed upon further examination to involve internal structure, or in other words, internal relationships." Concepts and relations are often expressed in language and text. Language is used not just for communicating concepts and relations, but also for representing, storing, and reasoning with concepts and relations. We shall examine the nature of semantic relations from a linguistic and psychological perspective, with an emphasis on relations expressed in text. The usefulness of semantic relations in information science, especially in ontology construction, information extraction, information retrieval, question-answering, and text summarization is discussed. Research and development in information science have focused on concepts and terms, but the focus will increasingly shift to the identification, processing, and management of relations to achieve greater effectiveness and refinement in information science techniques. Previous chapters in ARIST on natural language processing (Chowdhury, 2003), text mining (Trybula, 1999), information retrieval and the philosophy of language (Blair, 2003), and query expansion (Efthimiadis, 1996) provide a background for this discussion, as semantic relations are an important part of these applications.
    Source
    Annual review of information science and technology. 40(2006), S.157-228
  6. Miller, U.; Teitelbaum, R.: Pre-coordination and post-coordination : past and future (2002) 0.01 
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    Abstract
    This article deals with the meaningful processing of information in relation to two systems of Information processing: pre-coordination and post-coordination. The different approaches are discussed, with emphasis an the need for a controlled vocabulary in information retrieval. Assigned indexing, which employs a controlled vocabulary, is described in detail. Types of indexing language can be divided into two broad groups - those using pre-coordinated terms and those depending an post-coordination. They represent two different basic approaches in processing and Information retrieval. The historical development of these two approaches is described, as well as the two tools that apply to these approaches: thesauri and subject headings.
    Theme
    Verbale Doksprachen im Online-Retrieval
  7. Hoerman, H.L.; Furniss, K.A.: Turning practice into principles : a comparison of the IFLA Principles underlying Subject Heading Languages (SHLs) and the principles underlying the Library of Congress Subject Headings system (2000) 0.01 
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    Source
    The LCSH century: one hundred years with the Library of Congress Subject Headings system. Ed.: A.T. Stone
    Theme
    Verbale Doksprachen im Online-Retrieval
  8. Vickery, B.B.: Structure and function in retrieval languages (2006) 0.01 
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    Abstract
    Purpose - The purpose of this paper is to summarize the varied structural characteristics which may be present in retrieval languages. Design/methodology/approach - The languages serve varied purposes in information systems, and a number of these are identified. The relations between structure and function are discussed and suggestions made as to the most suitable structures needed for various purposes. Findings - A quantitative approach has been developed: a simple measure is the number of separate terms in a retrieval language, but this has to be related to the scope of its subject field. Some ratio of terms to items in the field seems a more suitable measure of the average specificity of the terms. Other aspects can be quantified - for example, the average number of links in hierarchical chains, or the average number of cross-references in a thesaurus. Originality/value - All the approaches to the analysis of retrieval language reported in this paper are of continuing value. Some practical studies of computer information systems undertaken by Aslib Research Department have suggested a further approach.
  9. Gilchrist, A.: Structure and function in retrieval (2006) 0.00 
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    Abstract
    Purpose - This paper forms part of the series "60 years of the best in information research", marking the 60th anniversary of the Journal of Documentation. It aims to review the influence of Brian Vickery's 1971 paper, "Structure and function in retrieval languages". The paper is not an update of Vickery's work, but a comment on a greatly changed environment, in which his analysis still has much validity. Design/methodology/approach - A commentary on selected literature illustrates the continuing relevance of Vickery's ideas. Findings - Generic survey and specific reference are still the main functions of retrieval languages, with minor functional additions such as relevance ranking. New structures are becoming increasingly significant, through developments such as XML. Future development in artificial intelligence hold out new prospects still. Originality/value - The paper shows the continuing relevance of "traditional" ideas of information science from the 1960s and 1970s.
  10. Tudhope, D.; Alani, H.; Jones, C.: Augmenting thesaurus relationships : possibilities for retrieval (2001) 0.00 
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    Abstract
    This paper discusses issues concerning the augmentation of thesaurus relationships, in light of new application possibilities for retrieval. We first discuss a case study that explored the retrieval potential of an augmented set of thesaurus relationships by specialising standard relationships into richer subtypes, in particular hierarchical geographical containment and the associative relationship. We then locate this work in a broader context by reviewing various attempts to build taxonomies of thesaurus relationships, and conclude by discussing the feasibility of hierarchically augmenting the core set of thesaurus relationships, particularly the associative relationship. We discuss the possibility of enriching the specification and semantics of Related Term (RT relationships), while maintaining compatibility with traditional thesauri via a limited hierarchical extension of the associative (and hierarchical) relationships. This would be facilitated by distinguishing the type of term from the (sub)type of relationship and explicitly specifying semantic categories for terms following a faceted approach. We first illustrate how hierarchical spatial relationships can be used to provide more flexible retrieval for queries incorporating place names in applications employing online gazetteers and geographical thesauri. We then employ a set of experimental scenarios to investigate key issues affecting use of the associative (RT) thesaurus relationships in semantic distance measures. Previous work has noted the potential of RTs in thesaurus search aids but also the problem of uncontrolled expansion of query term sets. Results presented in this paper suggest the potential for taking account of the hierarchical context of an RT link and specialisations of the RT relationship
    Source
    Journal of digital information. 1(2001) no.8
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  11. Svenonius, E.: LCSH: semantics, syntax and specifity (2000) 0.00 
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    Source
    The LCSH century: one hundred years with the Library of Congress Subject Headings system. Ed.: A.T. Stone
    Theme
    Verbale Doksprachen im Online-Retrieval
  12. Svenonius, E.: LCSH: semantics, syntax and specifity (2000) 0.00 
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    Source
    The LCSH century: one hundred years with the Library of Congress Subject Headings system. Ed.: A.T. Stone
    Theme
    Verbale Doksprachen im Online-Retrieval
  13. Zhou, G.D.; Zhang, M.: Extracting relation information from text documents by exploring various types of knowledge (2007) 0.00 
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    Abstract
    Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This paper investigates the incorporation of diverse lexical, syntactic and semantic knowledge in feature-based relation extraction using support vector machines. Our study illustrates that the base phrase chunking information is very effective for relation extraction and contributes to most of the performance improvement from syntactic aspect while current commonly used features from full parsing give limited further enhancement. This suggests that most of useful information in full parse trees for relation extraction is shallow and can be captured by chunking. This indicates that a cheap and robust solution in relation extraction can be achieved without decreasing too much in performance. We also demonstrate how semantic information such as WordNet, can be used in feature-based relation extraction to further improve the performance. Evaluation on the ACE benchmark corpora shows that effective incorporation of diverse features enables our system outperform previously best-reported systems. It also shows that our feature-based system significantly outperforms tree kernel-based systems. This suggests that current tree kernels fail to effectively explore structured syntactic information in relation extraction.
    Source
    Information processing and management. 43(2007) no.4, S.969-982
  14. ¬The semantics of relationships : an interdisciplinary perspective (2002) 0.00 
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    Abstract
    Work on relationships takes place in many communities, including, among others, data modeling, knowledge representation, natural language processing, linguistics, and information retrieval. Unfortunately, continued disciplinary splintering and specialization keeps any one person from being familiar with the full expanse of that work. By including contributions form experts in a variety of disciplines and backgrounds, this volume demonstrates both the parallels that inform work on relationships across a number of fields and the singular emphases that have yet to be fully embraced, The volume is organized into 3 parts: (1) Types of relationships (2) Relationships in knowledge representation and reasoning (3) Applications of relationships
    Content
    Enthält die Beiträge: Pt.1: Types of relationships: CRUDE, D.A.: Hyponymy and its varieties; FELLBAUM, C.: On the semantics of troponymy; PRIBBENOW, S.: Meronymic relationships: from classical mereology to complex part-whole relations; KHOO, C. u.a.: The many facets of cause-effect relation - Pt.2: Relationships in knowledge representation and reasoning: GREEN, R.: Internally-structured conceptual models in cognitive semantics; HOVY, E.: Comparing sets of semantic relations in ontologies; GUARINO, N., C. WELTY: Identity and subsumption; JOUIS; C.: Logic of relationships - Pt.3: Applications of relationships: EVENS, M.: Thesaural relations in information retrieval; KHOO, C., S.H. MYAENG: Identifying semantic relations in text for information retrieval and information extraction; McCRAY, A.T., O. BODENREICHER: A conceptual framework for the biiomedical domain; HETZLER, B.: Visual analysis and exploration of relationships
    Series
    Information science and knowledge management; vol.3
  15. Beghtol, C.: Relationships in classificatory structure and meaning (2001) 0.00 
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    Abstract
    In a changing information environment, we need to reassess each element of bibliographic control, including classification theories and systems. Every classification system is a theoretical construct imposed an "reality." The classificatory relationships that are assumed to be valuable have generally received less attention than the topics included in the systems. Relationships are functions of both the syntactic and semantic axes of classification systems, and both explicit and implicit relationships are discussed. Examples are drawn from a number of different systems, both bibliographic and non-bibliographic, and the cultural warrant (i. e., the sociocultural context) of classification systems is examined. The part-whole relationship is discussed as an example of a universally valid concept that is treated as a component of the cultural warrant of a classification system.
    Series
    Information science and knowledge management; vol.2
  16. ¬The LCSH century : One hundred years with the Library of Congress Subject Headings system (2000) 0.00 
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    Content
    Enthält die Beiträge: BACKGROUND: Alva T STONE: The LCSH Century: A Brief History of the Library of Congress Subject Headings, and Introduction to the Centennial Essays - THEORY AND PRINCIPLES: Elaine SVENONIUS: LCSH: Semantics, Syntax and Specificity; Heidi Lee HOERMAN u. Kevin A. FURNISS: Turning Practice into Principles: A Comparison of the IFLA: Principles Underlying Subject Heading Languages (SHLs) and the Principles Underlying the Library of Congress Subject Headings System; Hope A. OLSON: Difference, Culture and Change:The Untapped Potential of LCSH - ONLINE ENVIRONMENT: Pauline Atherton COCHRANE: Improving LCSH for Use in Online Catalogs Revisited-What Progress Has Been Made? What Issues Still Remain?; Gregory WOOL: Filing and Precoordination: How Subject Headings Are Displayed in Online Catalogs and Why It Matters; Stephen HEARN: Machine-Assisted Validation of LC Subject Headings: Implications for Authority File Structure - SPECIFIC PERSPECTIVES: Thomas MANN: Teaching Library of Congress Subject Headings; Louisa J. KREIDER: LCSH Works! Subject Searching Effectiveness at the Cleveland Public Library and the Growth of Library of Congress Subject Headings Through Cooperation; Harriette HEMMASI u J. Bradford YOUNG: LCSH for Music: Historical and Empirical Perspectives; Joseph MILLER u. Patricia KUHR: LCSH and Periodical Indexing: Adoption vs. Adaptation; David P MILLER: Out from Under: Form/Genre Access in LCSH - WORLD VIEW: Magda HEINER-FREILING: Survey on Subject Heading Languages Used in National Libraries and Bibliographies; Andrew MacEWAN: Crossing Language Barriers in Europe: Linking LCSH to Other Subject Heading Languages; Alvaro QUIJANO-SOLIS u.a.: Automated Authority Files of Spanish-Language Subject Headings - FUTURE PROSPECTS: Lois Mai CHAN u. Theodora HODGES: Entering the Millennium: a new century for LCSH
    Footnote
    Die einzelnen Beiträge sind über die Buchversion erfasst: In: The LCSH century: one hundred years with the Library of Congress Subject Headings system. Ed.: A.T. Stone. New York: Haworth Press 2000.
    Theme
    Verbale Doksprachen im Online-Retrieval
  17. Green, R.; Bean, C.A.: Aligning systems of relationships (2006) 0.00 
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    Abstract
    The lateral relations of Neelameghan and Raghavan are mapped to their closest correspondents in FrameNet. Analvsis of this alignment highlights important characteristics of each system of relationships and reveals varying degrees of compatibility between them.
    Source
    Knowledge organization, information systems and other essays: Professor A. Neelameghan Festschrift. Ed. by K.S. Raghavan and K.N. Prasad
  18. Bodenreider, O.; Bean, C.A.: Relationships among knowledge structures : vocabulary integration within a subject domain (2001) 0.00 
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    Abstract
    The structure of terminology systems can be seen as one way to organize knowledge. This paper focuses an three types of relationships among terms: synonymy, hierarchical relationships, and explicit mapping relationships. Examples drawn from various medical vocabularies illustrate each type of relationship. The integration of disparate terminological knowledge structures in the Unified Medical Language System is presented and discussed.
    Series
    Information science and knowledge management; vol.2
  19. Fugmann, R.: ¬The complementarity of natural and index language in the field of information supply : an overview of their specific capabilities and limitations (2002) 0.00 
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    Abstract
    Natural text phrasing is an indeterminate process and, thus, inherently lacks representational predictability. This holds true in particular in the Gase of general concepts and of their syntactical connectivity. Hence, natural language query phrasing and searching is an unending adventure of trial and error and, in most Gases, has an unsatisfactory outcome with respect to the recall and precision ratlos of the responses. Human indexing is based an knowledgeable document interpretation and aims - among other things - at introducing predictability into the representation of documents. Due to the indeterminacy of natural language text phrasing and image construction, any adequate indexing is also indeterminate in nature and therefore inherently defies any satisfactory algorithmization. But human indexing suffers from a different Set of deficiencies which are absent in the processing of non-interpreted natural language. An optimally effective information System combines both types of language in such a manner that their specific strengths are preserved and their weaknesses are avoided. lf the goal is a large and enduring information system for more than merely known-item searches, the expenditure for an advanced index language and its knowledgeable and careful employment is unavoidable.
  20. ¬The LCSH century : One hundred years with the Library of Congress Subject Headings system (2000) 0.00 
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    Content
    Enthält die Beiträge: BACKGROUND: Alva T STONE: The LCSH Century: A Brief History of the Library of Congress Subject Headings, and Introduction to the Centennial Essays - THEORY AND PRINCIPLES: Elaine SVENONIUS: LCSH: Semantics, Syntax and Specificity; Heidi Lee HOERMAN u. Kevin A. FURNISS: Turning Practice into Principles: A Comparison of the IFLA: Principles Underlying Subject Heading Languages (SHLs) and the Principles Underlying the Library of Congress Subject Headings System; Hope A. OLSON: Difference, Culture and Change:The Untapped Potential of LCSH - ONLINE ENVIRONMENT: Pauline Atherton COCHRANE: Improving LCSH for Use in Online Catalogs Revisited-What Progress Has Been Made? What Issues Still Remain?; Gregory WOOL: Filing and Precoordination: How Subject Headings Are Displayed in Online Catalogs and Why It Matters; Stephen HEARN: Machine-Assisted Validation of LC Subject Headings: Implications for Authority File Structure - SPECIFIC PERSPECTIVES: Thomas MANN: Teaching Library of Congress Subject Headings; Louisa J. KREIDER: LCSH Works! Subject Searching Effectiveness at the Cleveland Public Library and the Growth of Library of Congress Subject Headings Through Cooperation; Harriette HEMMASI u J. Bradford YOUNG: LCSH for Music: Historical and Empirical Perspectives; Joseph MILLER u. Patricia KUHR: LCSH and Periodical Indexing: Adoption vs. Adaptation; David P MILLER: Out from Under: Form/Genre Access in LCSH - WORLD VIEW: Magda HEINER-FREILING: Survey on Subject Heading Languages Used in National Libraries and Bibliographies; Andrew MacEWAN: Crossing Language Barriers in Europe: Linking LCSH to Other Subject Heading Languages; Alvaro QUIJANO-SOLIS u.a.: Automated Authority Files of Spanish-Language Subject Headings - FUTURE PROSPECTS: Lois Mai CHAN u. Theodora HODGES: Entering the Millennium: a new century for LCSH
    Theme
    Verbale Doksprachen im Online-Retrieval

Authors

Languages

  • e 33
  • d 3
  • f 1
  • More… Less…

Types

  • a 30
  • m 4
  • s 4
  • el 1
  • r 1
  • x 1
  • More… Less…

Themes

Classifications