Search (16 results, page 1 of 1)

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Abstract

The current standards for monolingual and multilingual thesauri are long overdue for an update. This applies to the international standards ISO 2788 and ISO 5964, as well as the corresponding national standards in several countries and the American standard ANSI/NISO Z39.19. Work is now under way in the UK and in the USA to revise and extend the standards, with particular emphasis on interoperability needs in our world of vast electronic networks. Work in the UK is starting with the British Standards, in the hope of leading on to one international standard to serve all. Some of the issues still under discussion include the treatment of facet analysis, coverage of additional types of controlled vocabulary such as classification schemes, taxonomies and ontologies, and mapping from one vocabulary to another. 1. Are thesaurus standards still needed? Since the 1960s, even before the renowned Cranfield experiments (Cleverdon et al., 1966; Cleverdon, 1967) arguments have raged over the usefulness or otherwise of controlled vocabularies. The case has never been proved definitively one way or the other. At the same time, a recognition has become widespread that no one search method can answer all retrieval requirements. In today's environment of very large networks of resources, the skilled information professional uses a range of techniques. Among these, controlled vocabularies are valued alongside others. The first international standard for monolingual thesauri was issued in 1974. In those days, the main application was for postcoordinate indexing and retrieval from document collections or bibliographic databases. For many information professionals the only practicable alternative to a thesaurus was a classification scheme. And so the thesaurus developed a strong following. After computer systems with full text search capability became widely available, however, the arguments against controlled vocabularies gained more followers. The cost of building and maintaining a thesaurus or a classification scheme was a strong disincentive. Today's databases are typically immense compared with those three decades ago. Full text searching is taken for granted, not just in discrete databases but across all the resources in an intranet or even the Internet. But intranets have brought particular frustration as users discover that despite all the computer power, they cannot find items which they know to be present an the network. So the trend against controlled vocabularies is now being reversed, as many information professionals are turning to them for help. Standards to guide them are still in demand.

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Abstract

Classification schemes, thesauri, taxonomies, and other controlled vocabularies play important roles in the organization and retrieval of information in many different environments. While the design and construction of controlled vocabularies have been prescribed at the technical level in great detail over the past decades, the methodological level has been somewhat neglected. However, classification research has in recent years focused on developing approaches to the analysis of users, domains, and activities that could produce requirements for the design of controlled vocabularies. Researchers have often argued that the design, construction, and use of controlled vocabularies need to be based on analyses and understandings of the contexts in which these controlled vocabularies function. While one would assume that the growing body of research on human information behavior might help guide the development of controlled vocabularies shed light on these contexts, unfortunately, much of the research in this area is descriptive in nature and of little use for systems design. This paper discusses these trends and outlines a holistic approach that demonstrates how the design of controlled vocabularies can be informed by investigations of people's interactions with information. This approach is based on the Cognitive Work Analysis framework and outlines several dimensions of human-information interactions. Application of this approach will result is a comprehensive understanding of the contexts in which the controlled vocabulary will function and which can be used for the development of for the development of controlled vocabularies.

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Abstract

The IFLA Section on Classification and Indexing's Working Group on Principles Underlying Subject Headings Languages has identified a set of eleven principles for subject heading languages and excerpted the texts that match each principle from the instructions for each of eleven national subject indexing systems, including excerpts from the LC's Subject Cataloging Manual: Subject Headings. This study compares the IFLA principles with other texts that express the principles underlying LCSH, especially Library of Congress Subject Headings: Principles of Structure and Policies for Application, prepared by Lois Mai Chan for the Library of Congress in 1990, Chan's later book on LCSH, and earlier documents by Haykin and Cutter. The principles are further elaborated for clarity and discussed

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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.

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Date

22. 9.2007 15:45:57

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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

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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.

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Abstract

Last word ontological thought and practice is exemplified on an axiomatic framework [a model for an Integrative Cross-Language Ontology (ICLO), cf. Poli, R., Schmitz-Esser, W., forthcoming 2007] that is highly general, based on natural language, multilingual, can be implemented as topic maps and may be openly enhanced by software available for particular languages. Basics of ontological modelling, conditions for construction and maintenance, and the most salient points in application are addressed, such as cross-language text mining and knowledge generation. The rationale is to open the eyes for the tremendous potential of terminology-based ontologies for principled Knowledge Organization and the interchange and reuse of formalized knowledge.

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Abstract

The aim of this chapter is to demonstrate that semantic issues underlie all research questions within Library and Information Science (LIS, or, as hereafter, IS) and, in particular, the subfield known as Knowledge Organization (KO). Further, it seeks to show that semantics is a field influenced by conflicting views and discusses why it is important to argue for the most fruitful one of these. Moreover, the chapter demonstrates that IS has not yet addressed semantic problems in systematic fashion and examines why the field is very fragmented and without a proper theoretical basis. The focus here is on broad interdisciplinary issues and the long-term perspective. The theoretical problems involving semantics and concepts are very complicated. Therefore, this chapter starts by considering tools developed in KO for information retrieval (IR) as basically semantic tools. In this way, it establishes a specific IS focus on the relation between KO and semantics. It is well known that thesauri consist of a selection of concepts supplemented with information about their semantic relations (such as generic relations or "associative relations"). Some words in thesauri are "preferred terms" (descriptors), whereas others are "lead-in terms." The descriptors represent concepts. The difference between "a word" and "a concept" is that different words may have the same meaning and similar words may have different meanings, whereas one concept expresses one meaning.

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Abstract

In the 1960s and 1970s, a lot of work was done to develop indexing languages and models of indexing languages, in order to be able to produce the more specific indexing needed for highly specialized scientific papers. SYNTOL was a major contribution of the French to this activity. SYNTOL as a model was based on the linguistic distinction between paradigmatic and syntagmatic relations of words, and was intended to supply a complete and flexible platform for its own and other indexing languages.

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Abstract

Relationships between the terms in thesauri and Indexes are the subject of national and international standards. The standards for thesauri enumerate and provide criteria for three basic types of relationship: equivalence, hierarchical, and associative. Standards and guidelines for indexes draw an the thesaurus standards to provide less detailed guidance for showing relationships between the terms used in an Index. The international standard for multilingual thesauri adds recommendations for assuring equal treatment of the languages of a thesaurus. The present standards were developed when lookup and search were essentially manual, and the value of the kinds of relationships has never been determined. It is not clear whether users understand or can use the distinctions between kinds of relationships. On the other hand, sophisticated text analysis systems may be able both to assist with development of more powerful term relationship schemes and to use the relationships to improve retrieval.

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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.

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Abstract

A thesaurus is a controlled vocabulary designed to allow for effective information retrieval. It con- sists of different kinds of semantic relationships, with the aim of guiding users to the choice of the most suitable index and search terms for expressing a certain concept. The relational semantics of a thesaurus deal with methods to connect terms with related meanings and arc intended to enhance information recall capabilities. In this paper, focused on hierarchical relations, different aspects of the relational semantics of thesauri, and among them the possibility of developing richer structures, are analyzed. Thesauri are viewed as semantic tools providing, for operational purposes, the representation of the meaning of the terms. The paper stresses how theories of semantics, holding different perspectives about the nature of meaning and how it is represented, affect the design of the relational semantics of thesauri. The need for tools capable of representing the complexity of knowledge and of the semantics of terms as it occurs in the literature of their respective subject fields is advocated. It is underlined how this would contribute to improving the retrieval of information. To achieve this goal, even though in a preliminary manner, we explore the possibility of setting against the framework of thesaurus design the notions of language games and hermeneutic horizon.

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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.

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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

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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