Search (144 results, page 2 of 8)

  • × type_ss:"el"
  • × year_i:[1990 TO 2000}
  1. Kirriemuir, J.; Brickley, D.; Welsh, S.; Knight, J.; Hamilton, M.: Cross-searching subject gateways : the query routing and forward knowledge approach (1998) 0.00
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    Abstract
    A subject gateway, in the context of network-based resource access, can be defined as some facility that allows easier access to network-based resources in a defined subject area. The simplest types of subject gateways are sets of Web pages containing lists of links to resources. Some gateways index their lists of links and provide a simple search facility. More advanced gateways offer a much enhanced service via a system consisting of a resource database and various indexes, which can be searched and/or browsed through a Web-based interface. Each entry in the database contains information about a network-based resource, such as a Web page, Web site, mailing list or document. Entries are usually created by a cataloguer manually identifying a suitable resource, describing the resource using a template, and submitting the template to the database for indexing. Subject gateways are also known as subject-based information gateways (SBIGs), subject-based gateways, subject index gateways, virtual libraries, clearing houses, subject trees, pathfinders and other variations thereof. This paper describes the characteristics of some of the subject gateways currently accessible through the Web, and compares them to automatic "vacuum cleaner" type search engines, such as AltaVista. The application of WHOIS++, centroids, query routing, and forward knowledge to searching several of these subject gateways simultaneously is outlined. The paper concludes with looking at some of the issues facing subject gateway development in the near future. The paper touches on many of the issues mentioned in a previous paper in D-Lib Magazine, especially regarding resource-discovery related initiatives and services.
    Type
    a
  2. Dolin, R.; Agrawal, D.; El Abbadi, A.; Pearlman, J.: Using automated classification for summarizing and selecting heterogeneous information sources (1998) 0.00
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    Abstract
    Information retrieval over the Internet increasingly requires the filtering of thousands of heterogeneous information sources. Important sources of information include not only traditional databases with structured data and queries, but also increasing numbers of non-traditional, semi- or unstructured collections such as Web sites, FTP archives, etc. As the number and variability of sources increases, new ways of automatically summarizing, discovering, and selecting collections relevant to a user's query are needed. One such method involves the use of classification schemes, such as the Library of Congress Classification (LCC) [10], within which a collection may be represented based on its content, irrespective of the structure of the actual data or documents. For such a system to be useful in a large-scale distributed environment, it must be easy to use for both collection managers and users. As a result, it must be possible to classify documents automatically within a classification scheme. Furthermore, there must be a straightforward and intuitive interface with which the user may use the scheme to assist in information retrieval (IR).
    Type
    a
  3. Sebastiani, F.: ¬A tutorial an automated text categorisation (1999) 0.00
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    Abstract
    The automated categorisation (or classification) of texts into topical categories has a long history, dating back at least to 1960. Until the late '80s, the dominant approach to the problem involved knowledge-engineering automatic categorisers, i.e. manually building a set of rules encoding expert knowledge an how to classify documents. In the '90s, with the booming production and availability of on-line documents, automated text categorisation has witnessed an increased and renewed interest. A newer paradigm based an machine learning has superseded the previous approach. Within this paradigm, a general inductive process automatically builds a classifier by "learning", from a set of previously classified documents, the characteristics of one or more categories; the advantages are a very good effectiveness, a considerable savings in terms of expert manpower, and domain independence. In this tutorial we look at the main approaches that have been taken towards automatic text categorisation within the general machine learning paradigm. Issues of document indexing, classifier construction, and classifier evaluation, will be touched upon.
  4. Hill, L.L.; Frew, J.; Zheng, Q.: Geographic names : the implementation of a gazetteer in a georeferenced digital library (1999) 0.00
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    Abstract
    The Alexandria Digital Library (ADL) Project has developed a content standard for gazetteer objects and a hierarchical type scheme for geographic features. Both of these developments are based on ADL experience with an earlier gazetteer component for the Library, based on two gazetteers maintained by the U.S. federal government. We define the minimum components of a gazetteer entry as (1) a geographic name, (2) a geographic location represented by coordinates, and (3) a type designation. With these attributes, a gazetteer can function as a tool for indirect spatial location identification through names and types. The ADL Gazetteer Content Standard supports contribution and sharing of gazetteer entries with rich descriptions beyond the minimum requirements. This paper describes the content standard, the feature type thesaurus, and the implementation and research issues. A gazetteer is list of geographic names, together with their geographic locations and other descriptive information. A geographic name is a proper name for a geographic place and feature, such as Santa Barbara County, Mount Washington, St. Francis Hospital, and Southern California. There are many types of printed gazetteers. For example, the New York Times Atlas has a gazetteer section that can be used to look up a geographic name and find the page(s) and grid reference(s) where the corresponding feature is shown. Some gazetteers provide information about places and features; for example, a history of the locale, population data, physical data such as elevation, or the pronunciation of the name. Some lists of geographic names are available as hierarchical term sets (thesauri) designed for information retreival; these are used to describe bibliographic or museum materials. Examples include the authority files of the U.S. Library of Congress and the GeoRef Thesaurus produced by the American Geological Institute. The Getty Museum has recently made their Thesaurus of Geographic Names available online. This is a major project to develop a controlled vocabulary of current and historical names to describe (i.e., catalog) art and architecture literature. U.S. federal government mapping agencies maintain gazetteers containing the official names of places and/or the names that appear on map series. Examples include the U.S. Geological Survey's Geographic Names Information System (GNIS) and the National Imagery and Mapping Agency's Geographic Names Processing System (GNPS). Both of these are maintained in cooperation with the U.S. Board of Geographic Names (BGN). Many other examples could be cited -- for local areas, for other countries, and for special purposes. There is remarkable diversity in approaches to the description of geographic places and no standardization beyond authoritative sources for the geographic names themselves.
    Type
    a
  5. Powell, J.; Fox, E.A.: Multilingual federated searching across heterogeneous collections (1998) 0.00
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    Abstract
    This article describes a scalable system for searching heterogeneous multilingual collections on the World Wide Web. It details a markup language for describing the characteristics of a search engine and its interface, and a protocol for requesting word translations between languages.
    Type
    a
  6. Schmid, H.: Improvements in Part-of-Speech tagging with an application to German (1995) 0.00
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    Abstract
    This paper presents a couple of extensions to a basic Markov Model tagger (called TreeTagger) which improve its accuracy when trained on small corpora. The basic tagger was originally developed for English Schmid, 1994. The extensions together reduced error rates on a German test corpus by more than a third.
    Type
    a
  7. Hesse, W.; Verrijn-Stuart, A.: Towards a theory of information systems : the FRISCO approach (1999) 0.00
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    Abstract
    Information Systems (IS) is among the most widespread terms in the Computer Science field but a well founded, widely accepted theory of IS is still missing. With the Internet publication of the FRISCO report, the IFIP task group "FRamework of Information System COncepts" has taken a first step towards such a theory. Among the major achievements of this report are: (1) it builds on a solid basis formed by semiotics and ontology, (2) it defines a compendium of about 100 core IS concepts in a coherent and consistent way, (3) it goes beyond the common narrow view of information systems as pure technical artefacts by adopting an interdisciplinary, socio-technical view on them. In the autumn of 1999, a first review of the report and its impact was undertaken at the ISCO-4 conference in Leiden. In a workshop specifically devoted to the subject, the original aims and goals of FRISCO were confirmed to be still valid and the overall approach and achievements of the report were acknowledged. On the other hand, the workshop revealed some misconceptions, errors and weaknesses of the report in its present form, which are to be removed through a comprehensive revision now under way. This paper reports on the results of the Leiden conference and the current revision activities. It also points out some important consequences of the FRISCO approach as a whole.
  8. Yang, Y.; Liu, X.: ¬A re-examination of text categorization methods (1999) 0.00
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    Abstract
    This paper reports a controlled study with statistical significance tests an five text categorization methods: the Support Vector Machines (SVM), a k-Nearest Neighbor (kNN) classifier, a neural network (NNet) approach, the Linear Leastsquares Fit (LLSF) mapping and a Naive Bayes (NB) classifier. We focus an the robustness of these methods in dealing with a skewed category distribution, and their performance as function of the training-set category frequency. Our results show that SVM, kNN and LLSF significantly outperform NNet and NB when the number of positive training instances per category are small (less than ten, and that all the methods perform comparably when the categories are sufficiently common (over 300 instances).
  9. Zhang, A.: Multimedia file formats on the Internet : a beginner's guide for PC users (1995) 0.00
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  10. Tillman, H.N.: Evaluating quality on the net (1996) 0.00
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    Abstract
    Wide ranging article providing background information on the search process. Also includes a considerable amount of information about formulating searches and the difficult process of getting relevant returns from a search
  11. Woods, E.W.; IFLA Section on classification and Indexing and Indexing and Information Technology; Joint Working Group on a Classification Format: Requirements for a format of classification data : Final report, July 1996 (1996) 0.00
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  12. Dunning, T.: Statistical identification of language (1994) 0.00
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    Abstract
    A statistically based program has been written which learns to distinguish between languages. The amount of training text that such a program needs is surprisingly small, and the amount of text needed to make an identification is also quite small. The program incorporates no linguistic presuppositions other than the assumption that text can be encoded as a string of bytes. Such a program can be used to determine which language small bits of text are in. It also shows a potential for what might be called 'statistical philology' in that it may be applied directly to phonetic transcriptions to help elucidate family trees among language dialects. A variant of this program has been shown to be useful as a quality control in biochemistry. In this application, genetic sequences are assumed to be expressions in a language peculiar to the organism from which the sequence is taken. Thus language identification becomes species identification.
  13. Plotkin, R.C.; Schwartz, M.S.: Data modeling for news clip archive : a prototype solution (1997) 0.00
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    Abstract
    Film, videotape and multimedia archive systems must address the issues of editing, authoring and searching at the media (i.e. tape) or sub media (i.e. scene) level in addition to the traditional inventory management capabilities associated with the physical media. This paper describes a prototype of a database design for the storage, search and retrieval of multimedia and its related information. It also provides a process by which legacy data can be imported to this schema. The Continuous Media Index, or Comix system is the name of the prototype. An implementation of such a digital library solution incorporates multimedia objects, hierarchical relationships and timecode in addition to traditional attribute data. Present video and multimedia archive systems are easily migrated to this architecture. Comix was implemented for a videotape archiving system. It was written for, and implemented using IBM Digital Library version 1.0. A derivative of Comix is currently in development for customer specific applications. Principles of the Comix design as well as the importation methods are not specific to the underlying systems used.
    Type
    a
  14. ICONSOURCE : CD-ROM-Datenbank (1992) 0.00
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    Footnote
    Rez. in: IfB 2(1994) H.2, S.268-269 (A. Karasch)
  15. Dervin, B.: Chaos, order, and sense-making : a proposed theory for information design (1995) 0.00
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    Abstract
    The term information design is being offered in this volume as a disignator of a new area of activity. Part of the logic inherent in the presentation is the assumption that as a species we face altered circumstances which demand this new practice
  16. Cataloging Internet resources : a manual and practical guide (1996) 0.00
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  17. Weibel, S.: ¬A proposed convention for embedding metadata in HTML <June 2, 1996> (1996) 0.00
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  18. Shneiderman, B.; Byrd, D.; Croft, W.B.: Clarifying search : a user-interface framework for text searches (1997) 0.00
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  19. Shneiderman, B.; Byrd, D.; Croft, W.B.: Clarifying search : a user-interface framework for text searches (1997) 0.00
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    Abstract
    Current user interfaces for textual database searching leave much to be desired: individually, they are often confusing, and as a group, they are seriously inconsistent. We propose a four- phase framework for user-interface design: the framework provides common structure and terminology for searching while preserving the distinct features of individual collections and search mechanisms. Users will benefit from faster learning, increased comprehension, and better control, leading to more effective searches and higher satisfaction.
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    a
  20. Fowler, R.H.; Wilson, B.A.; Fowler, W.A.L.: Information navigator : an information system using associative networks for display and retrieval (1992) 0.00
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    Abstract
    Document retrieval is a highly interactive process dealing with large amounts of information. Visual representations can provide both a means for managing the complexity of large information structures and an interface style well suited to interactive manipulation. The system we have designed utilizes visually displayed graphic structures and a direct manipulation interface style to supply an integrated environment for retrieval. A common visually displayed network structure is used for query, document content, and term relations. A query can be modified through direct manipulation of its visual form by incorporating terms from any other information structure the system displays. An associative thesaurus of terms and an inter-document network provide information about a document collection that can complement other retrieval aids. Visualization of these large data structures makes use of fisheye views and overview diagrams to help overcome some of the inherent difficulties of orientation and navigation in large information structures.
    Type
    a

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