Search (55 results, page 1 of 3)

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Abstract

The paper discusses the notion of steps in indexing and reveals that the document-centered approach to indexing is prevalent and argues that the document-centered approach is problematic because it blocks out context-dependent factors in the indexing process. A domain-centered approach to indexing is presented as an alternative and the paper discusses how this approach includes a broader range of analyses and how it requires a new set of actions from using this approach; analysis of the domain, users and indexers. The paper concludes that the two-step procedure to indexing is insufficient to explain the indexing process and suggests that the domain-centered approach offers a guide for indexers that can help them manage the complexity of indexing.

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Abstract

The paper is divided into 3 parts. The 1st develops a framework for evaluating the indexing needs of the humanities with reference to 4 sets of contrasts: user (need)-oriented vs. document-oriented indexing; subject indexing vs. attribute indexing; scientific writing vs. humanistic writing; and topical relevance vs. logical relevance vs. evidential relevance vs. aesthetic relevance. The indexing needs for the humanities range broadly across these contrasts. The 2nd part establishes the centrality of relationships to the communication of indexable matter and examines the advantages and disadvantages of means used for their expression inboth natural languages and indexing languages. The use of relational structure, such as a frame, is shown to represent perhaps the best available option. The 3rd part illustrates where the use of relational structures in humanities indexing would help meet some of the needs previously identified. Although not a panacea, the adoption of frame-based indexing in the humanities might substantially improve the retrieval of its literature

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Abstract

The indexing process consists of the comprehension of the document to be indexed, followed by the production of a set of index terms. Differences between academic indexing and back-of-the-book indexing are discussed. Text comprehension is a branch of human information processing, and it is argued that the model of text comprehension and production debeloped by van Dijk and Kintsch can form the basis for a cognitive process model of indexing. Strategies for testing such a model are suggested

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Abstract

The paper considers indexing an activity that deals with linguistic entities. It rests an the assumption that a theory of indexing should be based an a philosophy of language, because indexing is concerned with the linguistic representation of meaning. The paper consists of four sections: It begins with some basic considerations an the nature of indexing and the requirements for a theory an this; it is followed by a short review of the use of Wittgenstein's philosophy in LIS-literature; next is an analysis of Wittgenstein's work Philosophical Investigations; finally, we deduce a theory of indexing from this philosophy. Considering an indexing theory a theory of meaning entails that, for the purpose of retrieval, indexing is a representation of meaning. Therefore, an indexing theory is concerned with how words are used in the linguistic context. Furthermore, the indexing process is a communicative process containing an interpretative element. Through the philosophy of the later Wittgenstein, it is shown that language and meaning are publicly constituted entities. Since they form the basis of indexing, a theory hereof must take into account that no single actor can define the meaning of documents. Rather this is decided by the social, historical and linguistic context in which the document is produced, distributed and exchanged. Indexing must clarify and reflect these contexts.

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Abstract

While the literature identifies some broad approaches to subject analysis there is little supporting empirical evidence and few attempts to explicate any specifiable procedures. A productive step forward with indexing research would be to begin by examining how indexers actually undertake the process of subject analysis and to explore systematically factors that guide and influence this process. This would shed some light on a theory of subject analysis, clarify some of the central concepts of indexing, and provide an intelligent knowledge-base for effective, academic indexing practice

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Theme

Citation indexing

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Abstract

Subject analysis is the basis of all classifying and indexing techniques and is equally applicable to automatic and manual indexing systems. This book discusses subject analysis as an activity in its own right, independent of any indexing language. It examines the theoretical basis of subject analysis using the concepts of forms of knowledge as applicable to classification schemes.

LCSH

Indexing

Subject

Indexing

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Footnote

Übers. des Titels: Trends in subject indexing: contents analysis

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Abstract

Comprehensiveness and consistency in newspaper indexing depend on the effectiveness of subject analysis of the news items. Discusses indexing skills required in order to identify indexable concepts. Describes practical aspects of conceptual analysis, crystalises criteria and methods for the indexing of news stories, and eludicates reasons form providing multiple subject-entries for certain news items. Suggests rules for news analysis and speedy and accurate allocation of subject headings, and illustrates the technique of dealing with complex and diversified news headings reported at intervals. As the headlines do not always indicate the real subject of a news story, the identification of indexable concepts can become arduous and cumbersome. Discusses the methods, skills and capability needed to tackle such problems

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Abstract

The common view of the 'aboutness' of documents is that the index entries (or classifications) assigned to documents represent or indicate in some way the total contents of documents; indexing and classifying are seen as processes involving the 'summerization' of the texts of documents. In this paper an alternative concept of 'aboutness' is proposed based on an analysis of the linguistic organization of texts, which is felt to be more appropriate in many indexing environments (particularly in non-specialized libraries and information services) and which has implications for the evaluation of the effectiveness of indexing systems

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Abstract

An examination of some nonbook materials with respect to an aboutness model of indexing leads to the conclusion that there are instances that defy subject indexing. These occur not so much because of the nature of the medium per se but because it is being used for nondocumentary purposes, or, when being used for such purposes, the subject referenced is nonlexical

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Abstract

It is vital for library and information science to understand the subject indexing process thoroughly. However, document analysis, the first and most important step in indexing, has not received sufficient attention. As this is an exceptionally hard problem, we still do not dispose of a sound indexing theory. Therefore we have difficulties in teaching indexing and in explaining why a given subject representation is "better" than another. Technological advancements have not helped to close this fundamental gap. To proceed, we should ask the right questions instead. Several types of indexer inconsistencies can be explained as acceptable, yet different conceptualizations which resulting of the variety of groups dealing with a problem from their respective viewpoints. Multiple indexed documents are regarded as the normal case. Intersubjectively replicable indexing results are often questionable or do not constitute interesting cases of indexing at all. In the context of my ongoing dissertation in which I intend to develop an enhanced indexing theory by investigating improvements within a social sciences domain, this paper explains user-oriented selective depth analysis and why I chose that configuration. Strongly influenced by Mai's dissertation, I also communicate my first insights concerning current indexing theories. I agree that I cannot ignore epistemological stances and philosophical issues in language and meaning related to indexing and accept the openness of the interpretive nature of the indexing process. Although I present arguments against the employment of an indexing language as well, it is still indispensable in situations which demand easier access and control by devices. Despite the enormous difficulties the user-oriented and selective depth analysis poses, I argue that it is both feasible and useful if one achieves careful guidance of the possible interpretations. There is some hope because the number of useful interpretations is limited: Every summary is tailored to a purpose, audience and situation. Domain, discourse and social practice entail additional constraints. A pluralistic method mix that focusses on ecologically valid, holistic contexts and employs qualitative methods is recommended. Domain analysis urgently has to be made more practical and applicable. Only then we will be able to investigate empirically domains in order to identify their structures shaped by the corresponding discourse communities. We plan to represent the recognized problem structures and indexing questions of relevance to a small domain in formal, ontological computer models -- if we can find such stable knowledge structures. This would allow us to tailor dynamically summaries for user communities. For practical purposes we suggest to assume a less demanding position than Hjorland's "totality of the epistemological potential". It is sufficent that we identify and represent iteratively the information needs of today's user groups in interactive knowledge-based systems. The best way to formalize such knowledge gained about discourse communities is however unknown. Indexers should stay in direct contact with the community they serve or be part of it to ensure agreement with their viewpoints. Checklist/request-oriented indexing could be very helpful but it remains to be demonstrated how well it will be applicable in the social sciences. A frame-based representation or at least a sophisticated grouping of terms could help to express relational knowledge structures. There remains much work to do since in practice no one has shown yet how such an improved indexing system would work and if the indexing results were really "better".

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Abstract

This paper explains at least some of the major problems related to the subject indexing process and proposes a new approach to understanding the process, which is ordinarily described as a process that takes a number of steps. The subject is first determined, then it is described in a few sentences and, lastly, the description of the subject is converted into the indexing language. It is argued that this typical approach characteristically lacks an understanding of what the central nature of the process is. Indexing is not a neutral and objective representation of a document's subject matter but the representation of an interpretation of a document for future use. Semiotics is offered here as a framework for understanding the "interpretative" nature of the subject indexing process. By placing this process within Peirce's semiotic framework of ideas and terminology, a more detailed description of the process is offered which shows that the uncertainty generally associated with this process is created by the fact that the indexer goes through a number of steps and creates the subject matter of the document during this process. The creation of the subject matter is based on the indexer's social and cultural context. The paper offers an explanation of what occurs in the indexing process and suggests that there is only little certainty to its result.

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Abstract

The paper demonstrates that indexing is a complex phenomenon and presents a domain centered approach to indexing. The indexing process is analysed using the Means-Ends Analysis, a tool developed for the Cognitive Work Analysis framework. A Means-Ends Analysis of indexing provides a holistic understanding of indexing and Shows the importance of understanding the users' activities when indexing. The paper presents a domain-centered approach to indexing that includes an analysis of the users' activities and the paper outlines that approach to indexing.

Content

1. Introduction The document at hand is often regarded as the most important entity for analysis in the indexing situation. The indexer's focus is directed to the "entity and its faithful description" (Soergel, 1985, 227) and the indexer is advised to "stick to the text and the author's claims" (Lancaster, 2003, 37). The indexer's aim is to establish the subject matter based an an analysis of the document with the goal of representing the document as truthfully as possible and to ensure the subject representation's validity by remaining neutral and objective. To help indexers with their task they are guided towards particular and important attributes of the document that could help them determine the document's subject matter. The exact attributes the indexer is recommended to examine varies, but typical examples are: the title, the abstract, the table of contents, chapter headings, chapter subheadings, preface, introduction, foreword, the text itself, bibliographical references, index entries, illustrations, diagrams, and tables and their captions. The exact recommendations vary according to the type of document that is being indexed (monographs vs. periodical articles, for instance). It is clear that indexers should provide faithful descriptions, that indexers should represent the author's claims, and that the document's attributes are helpful points of analysis. However, indexers need much more guidance when determining the subject than simply the documents themselves. One approach that could be taken to handle the Situation is a useroriented approach in which it is argued that the indexer should ask, "how should I make this document ... visible to potential users? What terms should I use to convey its knowledge to those interested?" (Albrechtsen, 1993, 222). The basic idea is that indexers need to have the users' information needs and terminology in mind when determining the subject matter of documents as well as when selecting index terms.

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Abstract

It is a truism in information science that indexing is associated with 'aboutness', and that index terms that accurately represent what a document is about will serve the needs of the user/searcher well. It is contended in this paper that indexing which is limited to the representation of aboutness serves the novice in a discipline adequately, but does not serve the scholar or researcher, who is concerned with highly specific aspects of or points-of-view on a subject. The linguistic analogs of 'aboutness' and 'aspects' are 'topic' and 'comment' respectively. Serial indexing services deal with topics at varyng levels of specificity, but neglect comment almost entirely. This may explain the underutilization of secondary information services by scholars, as has been repeatedly demonstrated in user studies. It may also account for the incomplete lists of bibliographic references in many research papers. Natural language searching of fulltext databases does not solve this problem, because the aspect of a topic of interest to researchers is often inexpressible in concrete terms. The thesis is illustrated with examples of indexing failures in research projects the author has conducted on a range of linguistic and library-information science topics. Finally, the question of whether indexing can be improved to meet the needs of researchers is examined

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Abstract

Examines how an analytical framework to describe the contents of images may be extended to deal with time based materials like film and music. A levels of meanings table was developed and used as an indexing template for image retrieval purposes. Develops a concept of democratic indexing which focused on user interpretation. Describes the approach to image or pictorial information retrieval. Extends the approach in relation to fiction