Search (16 results, page 1 of 1)

0.0114448285 = product of:
  0.057224143 = sum of:
    0.011783739 = weight(_text_:web in 1255) [ClassicSimilarity], result of:
      0.011783739 = score(doc=1255,freq=2.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.12619963 = fieldWeight in 1255, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.02734375 = fieldNorm(doc=1255)
    0.045440406 = weight(_text_:log in 1255) [ClassicSimilarity], result of:
      0.045440406 = score(doc=1255,freq=2.0), product of:
        0.18335998 = queryWeight, product of:
          6.4086204 = idf(docFreq=197, maxDocs=44218)
          0.028611459 = queryNorm
        0.24782073 = fieldWeight in 1255, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          6.4086204 = idf(docFreq=197, maxDocs=44218)
          0.02734375 = fieldNorm(doc=1255)
  0.2 = coord(2/10)

Abstract

As digital libraries become a major source of information for many people, we need to know more about how people seek and retrieve information in digital environments. Quite commonly, users with a problem-at-hand and associated question-in-mind repeatedly search a literature for answers, and seek information in stages over extended periods from a variety of digital information resources. The process of repeatedly searching over time in relation to a specific, but possibly an evolving information problem (including changes or shifts in a variety of variables), is called the successive search phenomenon. The study outlined in this paper is currently investigating this new and little explored line of inquiry for information retrieval, Web searching, and digital libraries. The purpose of the research project is to investigate the nature, manifestations, and behavior of successive searching by users in digital environments, and to derive criteria for use in the design of information retrieval interfaces and systems supporting successive searching behavior. This study includes two related projects. The first project is based in the School of Library and Information Sciences at the University of North Texas and is funded by a National Science Foundation POWRE Grant <http://www.nsf.gov/cgi-bin/show?award=9753277>. The second project is based at the Department of Information Studies at the University of Sheffield (UK) and is funded by a grant from the British Library <http://www.shef. ac.uk/~is/research/imrg/uncerty.html> Research and Innovation Center. The broad objectives of each project are to examine the nature and extent of successive search episodes in digital environments by real users over time. The specific aim of the current project is twofold: * To characterize progressive changes and shifts that occur in: user situational context; user information problem; uncertainty reduction; user cognitive styles; cognitive and affective states of the user, and consequently in their queries; and * To characterize related changes over time in the type and use of information resources and search strategies particularly related to given capabilities of IR systems, and IR search engines, and examine changes in users' relevance judgments and criteria, and characterize their differences. The study is an observational, longitudinal data collection in the U.S. and U.K. Three questionnaires are used to collect data: reference, client post search and searcher post search questionnaires. Each successive search episode with a search intermediary for textual materials on the DIALOG Information Service is audiotaped and search transaction logs are recorded. Quantitative analysis includes statistical analysis using Likert scale data from the questionnaires and log-linear analysis of sequential data. Qualitative methods include: content analysis, structuring taxonomies; and diagrams to describe shifts and transitions within and between each search episode. Outcomes of the study are the development of appropriate model(s) for IR interactions in successive search episodes and the derivation of a set of design criteria for interfaces and systems supporting successive searching.

0.0044538346 = product of:
  0.044538345 = sum of:
    0.044538345 = weight(_text_:web in 947) [ClassicSimilarity], result of:
      0.044538345 = score(doc=947,freq=14.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.47698978 = fieldWeight in 947, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=947)
  0.1 = coord(1/10)

Abstract

In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems. The prototype with a full text and hyperlink database of at least 24 million pages is available at http://google.stanford.edu/. To engineer a search engine is a challenging task. Search engines index tens to hundreds of millions of web pages involving a comparable number of distinct terms. They answer tens of millions of queries every day. Despite the importance of large-scale search engines on the web, very little academic research has been done on them. Furthermore, due to rapid advance in technology and web proliferation, creating a web search engine today is very different from three years ago. This paper provides an in-depth description of our large-scale web search engine -- the first such detailed public description we know of to date. Apart from the problems of scaling traditional search techniques to data of this magnitude, there are new technical challenges involved with using the additional information present in hypertext to produce better search results. This paper addresses this question of how to build a practical large-scale system which can exploit the additional information present in hypertext. Also we look at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want

0.0037641774 = product of:
  0.037641775 = sum of:
    0.037641775 = weight(_text_:web in 1252) [ClassicSimilarity], result of:
      0.037641775 = score(doc=1252,freq=10.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.40312994 = fieldWeight in 1252, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1252)
  0.1 = coord(1/10)

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.

0.0035630676 = product of:
  0.035630677 = sum of:
    0.035630677 = weight(_text_:web in 1246) [ClassicSimilarity], result of:
      0.035630677 = score(doc=1246,freq=14.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.38159183 = fieldWeight in 1246, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=1246)
  0.1 = coord(1/10)

Abstract

Since their inception in the early 1960s the strength and unique aspect of the ISI citation indexes has been their ability to illustrate the conceptual relationships between scholarly documents. When authors create reference lists for their papers, they make explicit links between their own, current work and the prior work of others. The exact nature of these links may not be expressed in the references themselves, and the motivation behind them may vary (this has been the subject of much discussion over the years), but the links embodied in references do exist. Over the past 30+ years, technology has allowed ISI to make the presentation of citation searching increasingly accessible to users of our products. Citation searching and link tracking moved from being rather cumbersome in print, to being direct and efficient (albeit non-intuitive) online, to being somewhat more user-friendly in CD format. But it is the confluence of the hypertext link and development of Web browsers that has enabled us to present to users a new form of citation product -- the Web of Science -- that is intuitive and makes citation indexing conceptually accessible. A cited reference search begins with a known, important (or at least relevant) document used as the search term. The search allows one to identify subsequent articles that have cited that document. This feature adds the dimension of prospective searching to the usual retrospective searching that all bibliographic indexes provide. Citation indexing is a prime example of a concept before its time - important enough to be used in the meantime by those sufficiently motivated, but just waiting for the right technology to come along to expand its use. While it was possible to follow citation links in earlier citation index formats, this required a level of effort on the part of users that was often just too much to ask of the casual user. In the citation indexes as presented in the Web of Science, the relationship between citing and cited documents is evident to users, and a click of the mouse is all it takes to follow a citation link. Citation connections are established between the published papers being indexed from the 8,000+ journals ISI covers and the items their reference lists contain during the data capture process. It is the standardized capture of each of the references included with these documents that enables us to provide the citation searching feature in all the citation index formats, as well as both internal and external links in the Web of Science.

Object

Web of Science

0.0026934259 = product of:
  0.026934259 = sum of:
    0.026934259 = weight(_text_:web in 1250) [ClassicSimilarity], result of:
      0.026934259 = score(doc=1250,freq=2.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.2884563 = fieldWeight in 1250, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0625 = fieldNorm(doc=1250)
  0.1 = coord(1/10)

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.

0.0023806747 = product of:
  0.023806747 = sum of:
    0.023806747 = weight(_text_:web in 1239) [ClassicSimilarity], result of:
      0.023806747 = score(doc=1239,freq=4.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.25496176 = fieldWeight in 1239, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1239)
  0.1 = coord(1/10)

Abstract

Do a search on AltaVista for "algebra". What do you get? Nearly 700,000 hits, of which AltaVista will allow you to view only what it determines is the top 200. Major search engines such as AltaVista, Excite, HotBot, Lycos, and the like continue to provide a valuable service, but with the recent growth of the Internet, topic-specific sites that provide some organization to the topic are increasingly important. It the goal of the Mathematics Archives to make it easier for the ordinary user to find useful mathematical information on the Web. The Mathematics Archives (http://archives.math.utk.edu) is a multipurpose site for mathematics on the Internet. The focus is on materials which can be used in mathematics education (primarily at the undergraduate level). Resources available range from shareware and public domain software to electronic proceedings of various conferences, to an extensive collection of annotated links to other mathematical sites. All materials on the Archives are categorized and cross referenced for the convenience of the user. Several search mechanisms are provided. The Harvest search engine is implemented to provide a full text search of most of the pages on the Archives. The software we house and our list of annotated links to mathematical sites are both categorized by subject matter. Each of these collections has a specialized search engine to assist the user in locating desired material. Services at the Mathematics Archives are divided up into five broad topics: * Links organized by Mathematical Topics * Software * Teaching Materials * Other Math Archives Features * Other Links

0.0020200694 = product of:
  0.020200694 = sum of:
    0.020200694 = weight(_text_:web in 316) [ClassicSimilarity], result of:
      0.020200694 = score(doc=316,freq=2.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.21634221 = fieldWeight in 316, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=316)
  0.1 = coord(1/10)

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).

0.0019045398 = product of:
  0.019045398 = sum of:
    0.019045398 = weight(_text_:web in 1244) [ClassicSimilarity], result of:
      0.019045398 = score(doc=1244,freq=4.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.2039694 = fieldWeight in 1244, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=1244)
  0.1 = coord(1/10)

Abstract

The creation of services linking related information entities is an area that is attracting an ever increasing interest in the ongoing development of the World Wide Web in general, and of research-related information systems in particular. Currently, both practice and theory point at linking services as being a major domain for innovation enabled by digital communication of content. Publishers, subscription agents, researchers and libraries are all looking into ways to create added value by linking related information entities, as such presenting the information within a broader context estimated to be relevant to the users of the information. This is the first of two articles in D-Lib Magazine on this topic. This first part describes the current state-of-the-art and contrasts various approaches to the problem. It identifies static and dynamic linking solutions as well as open and closed linking frameworks. It also includes an extensive bibliography. The second part, SFX, a Generic Linking Solution describes a system that we have developed for linking in a hybrid working environment. The creation of services linking related information entities is an area that is attracting an ever increasing interest in the ongoing development of the World Wide Web in general, and of research-related information systems in particular. Although most writings on electronic scientific communication have touted other benefits, such as the increase in communication speed, the possibility to exchange multimedia content and the absence of limitations on the length of research papers, currently both practice and theory point at linking services as being a major opportunity for improved communication of content. Publishers, subscription agents, researchers and libraries are all looking into ways to create added-value by linking related information entities, as such presenting the information within a broader context estimated to be relevant to the users of the information.

0.0018090137 = product of:
  0.018090136 = sum of:
    0.018090136 = product of:
      0.05427041 = sum of:
        0.05427041 = weight(_text_:22 in 6021) [ClassicSimilarity], result of:
          0.05427041 = score(doc=6021,freq=2.0), product of:
            0.10019246 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.028611459 = queryNorm
            0.5416616 = fieldWeight in 6021, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.109375 = fieldNorm(doc=6021)
      0.33333334 = coord(1/3)
  0.1 = coord(1/10)

Source

Ariadne. 1999, no.22

0.0014284048 = product of:
  0.014284048 = sum of:
    0.014284048 = weight(_text_:web in 1253) [ClassicSimilarity], result of:
      0.014284048 = score(doc=1253,freq=4.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.15297705 = fieldWeight in 1253, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0234375 = fieldNorm(doc=1253)
  0.1 = coord(1/10)

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), 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). Our work with the Alexandria Digital Library (ADL) Project focuses on geo-referenced information, whether text, maps, aerial photographs, or satellite images. As a result, we have emphasized techniques which work with both text and non-text, such as combined textual and graphical queries, multi-dimensional indexing, and IR methods which are not solely dependent on words or phrases. Part of this work involves locating relevant online sources of information. In particular, we have designed and are currently testing aspects of an architecture, Pharos, which we believe will scale up to 1.000.000 heterogeneous sources. Pharos accommodates heterogeneity in content and format, both among multiple sources as well as within a single source. That is, we consider sources to include Web sites, FTP archives, newsgroups, and full digital libraries; all of these systems can include a wide variety of content and multimedia data formats. Pharos is based on the use of hierarchical classification schemes. These include not only well-known 'subject' (or 'concept') based schemes such as the Dewey Decimal System and the LCC, but also, for example, geographic classifications, which might be constructed as layers of smaller and smaller hierarchical longitude/latitude boxes. Pharos is designed to work with sophisticated queries which utilize subjects, geographical locations, temporal specifications, and other types of information domains. The Pharos architecture requires that hierarchically structured collection metadata be extracted so that it can be partitioned in such a way as to greatly enhance scalability. Automated classification is important to Pharos because it allows information sources to extract the requisite collection metadata automatically that must be distributed.

0.0013467129 = product of:
  0.013467129 = sum of:
    0.013467129 = weight(_text_:web in 1245) [ClassicSimilarity], result of:
      0.013467129 = score(doc=1245,freq=2.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.14422815 = fieldWeight in 1245, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=1245)
  0.1 = coord(1/10)

Abstract

Over the past few months the International DOI Foundation (IDF) has produced a number of discussion papers and other materials about the Digital Object Identifier (DOIsm) initiative. They are all available at the DOI web site, including a brief summary of the DOI origins and purpose. The aim of the present paper is to update those papers, reflecting recent progress, and to provide a summary of the current position and context of the DOI. Although much of the material presented here is the result of a consensus by the organisations forming the International DOI Foundation, some of the points discuss work in progress. The paper describes the origin of the DOI as a persistent identifier for managing copyrighted materials and its development under the non-profit International DOI Foundation into a system providing identifiers of intellectual property with a framework for open applications to be built using them. Persistent identification implementations consistent with URN specifications have up to now been hindered by lack of widespread availability of resolution mechanisms, content typology consensus, and sufficiently flexible infrastructure; DOI attempts to overcome these obstacles. Resolution of the DOI uses the Handle System®, which offers the necessary functionality for open applications. The aim of the International DOI Foundation is to promote widespread applications of the DOI, which it is doing by pioneering some early implementations and by providing an extensible framework to ensure interoperability of future DOI uses. Applications of the DOI will require an interoperable scheme of declared metadata with each DOI; the basis of the DOI metadata scheme is a minimal "kernel" of elements supplemented by additional application-specific elements, under an umbrella data model (derived from the INDECS analysis) that promotes convergence of different application metadata sets. The IDF intends to require declaration of only a minimal set of metadata, sufficient to enable unambiguous look-up of a DOI, but this must be capable of extension by others to create open applications.

0.0011783739 = product of:
  0.011783739 = sum of:
    0.011783739 = weight(_text_:web in 1257) [ClassicSimilarity], result of:
      0.011783739 = score(doc=1257,freq=2.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.12619963 = fieldWeight in 1257, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.02734375 = fieldNorm(doc=1257)
  0.1 = coord(1/10)

Abstract

Over the past three years, the Dublin Core Metadata Initiative has achieved a broad international consensus on the semantics of a simple element set for describing electronic resources. Since the first workshop in March 1995, which was reported in the very first issue of D-Lib Magazine, Dublin Core has been the topic of perhaps a dozen articles here. Originally intended to be simple and intuitive enough for authors to tag Web pages without special training, Dublin Core is being adapted now for more specialized uses, from government information and legal deposit to museum informatics and electronic commerce. To meet such specialized requirements, Dublin Core can be customized with additional elements or qualifiers. However, these refinements can compromise interoperability across applications. There are tradeoffs between using specific terms that precisely meet local needs versus general terms that are understood more widely. We can better understand this inevitable tension between simplicity and complexity if we recognize that metadata is a form of human language. With Dublin Core, as with a natural language, people are inclined to stretch definitions, make general terms more specific, specific terms more general, misunderstand intended meanings, and coin new terms. One goal of this paper, therefore, will be to examine the experience of some related ways to seek semantic interoperability through simplicity: planned languages, interlingua constructs, and pidgins. The problem of semantic interoperability is compounded when we consider Dublin Core in translation. All of the workshops, documents, mailing lists, user guides, and working group outputs of the Dublin Core Initiative have been in English. But in many countries and for many applications, people need a metadata standard in their own language. In principle, the broad elements of Dublin Core can be defined equally well in Bulgarian or Hindi. Since Dublin Core is a controlled standard, however, any parallel definitions need to be kept in sync as the standard evolves. Another goal of the paper, then, will be to define the conceptual and organizational problem of maintaining a metadata standard in multiple languages. In addition to a name and definition, which are meant for human consumption, each Dublin Core element has a label, or indexing token, meant for harvesting by search engines. For practical reasons, these machine-readable tokens are English-looking strings such as Creator and Subject (just as HTML tags are called HEAD, BODY, or TITLE). These tokens, which are shared by Dublin Cores in every language, ensure that metadata fields created in any particular language are indexed together across repositories. As symbols of underlying universal semantics, these tokens form the basis of semantic interoperability among the multiple Dublin Cores. As long as we limit ourselves to sharing these indexing tokens among exact translations of a simple set of fifteen broad elements, the definitions of which fit easily onto two pages, the problem of Dublin Core in multiple languages is straightforward. But nothing having to do with human language is ever so simple. Just as speakers of various languages must learn the language of Dublin Core in their own tongues, we must find the right words to talk about a metadata language that is expressable in many discipline-specific jargons and natural languages and that inevitably will evolve and change over time.

9.1271737E-4 = product of:
  0.009127174 = sum of:
    0.009127174 = product of:
      0.027381519 = sum of:
        0.027381519 = weight(_text_:29 in 4121) [ClassicSimilarity], result of:
          0.027381519 = score(doc=4121,freq=2.0), product of:
            0.10064617 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.028611459 = queryNorm
            0.27205724 = fieldWeight in 4121, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4121)
      0.33333334 = coord(1/3)
  0.1 = coord(1/10)

Date

29. 6.2015 14:51:28

9.045068E-4 = product of:
  0.009045068 = sum of:
    0.009045068 = product of:
      0.027135205 = sum of:
        0.027135205 = weight(_text_:22 in 2654) [ClassicSimilarity], result of:
          0.027135205 = score(doc=2654,freq=2.0), product of:
            0.10019246 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.028611459 = queryNorm
            0.2708308 = fieldWeight in 2654, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2654)
      0.33333334 = coord(1/3)
  0.1 = coord(1/10)

Date

22. 1.2016 17:30:31

7.823291E-4 = product of:
  0.007823291 = sum of:
    0.007823291 = product of:
      0.023469873 = sum of:
        0.023469873 = weight(_text_:29 in 1152) [ClassicSimilarity], result of:
          0.023469873 = score(doc=1152,freq=2.0), product of:
            0.10064617 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.028611459 = queryNorm
            0.23319192 = fieldWeight in 1152, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.046875 = fieldNorm(doc=1152)
      0.33333334 = coord(1/3)
  0.1 = coord(1/10)

Date

26.12.2011 16:29:28

7.752915E-4 = product of:
  0.0077529154 = sum of:
    0.0077529154 = product of:
      0.023258746 = sum of:
        0.023258746 = weight(_text_:22 in 2655) [ClassicSimilarity], result of:
          0.023258746 = score(doc=2655,freq=2.0), product of:
            0.10019246 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.028611459 = queryNorm
            0.23214069 = fieldWeight in 2655, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=2655)
      0.33333334 = coord(1/3)
  0.1 = coord(1/10)

Date

22. 1.2016 17:30:31