Search (390 results, page 1 of 20)

  • × theme_ss:"Suchmaschinen"
  1. Mukherjea, S.; Hirata, K.; Hara, Y.: Towards a multimedia World-Wide Web information retrieval engine (1997) 0.06 
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    Abstract
    Describes a search engine that integrate text and image search. 1 or more Web site can be indexed for both textual and image information, allowing the user to search based on keywords or images or both. Another problem with the current search engines is that they show the results as pages of scrolled lists; this is not very user-friendly. The search engine allows the user to visualise to results in various ways. Explains the indexing and searching techniques of the search engine and highlights several features of the querying interface to make the retrieval process more efficient. Use examples to show the usefulness of the technology
    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1181-1191
  2. Park, E.-K.; Ra, D.-Y.; Jang, M.-G.: Techniques for improving web retrieval effectiveness (2005) 0.06 
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    Abstract
    This paper talks about several schemes for improving retrieval effectiveness that can be used in the named page finding tasks of web information retrieval (Overview of the TREC-2002 web track. In: Proceedings of the Eleventh Text Retrieval Conference TREC-2002, NIST Special Publication #500-251, 2003). These methods were applied on top of the basic information retrieval model as additional mechanisms to upgrade the system. Use of the title of web pages was found to be effective. It was confirmed that anchor texts of incoming links was beneficial as suggested in other works. Sentence-query similarity is a new type of information proposed by us and was identified to be the best information to take advantage of. Stratifying and re-ranking the retrieval list based on the maximum count of index terms in common between a sentence and a query resulted in significant improvement of performance. To demonstrate these facts a large-scale web information retrieval system was developed and used for experimentation.
    Date
    26.12.2007 20:28:29
  3. Peereboom, M.: DutchESS : Dutch Electronic Subject Service - a Dutch national collaborative effort (2000) 0.04 
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    Abstract
    This article gives an overview of the design and organisation of DutchESS, a Dutch information subject gateway created as a national collaborative effort of the National Library and a number of academic libraries. The combined centralised and distributed model of DutchESS is discussed, as well as its selection policy, its metadata format, classification scheme and retrieval options. Also some options for future collaboration on an international level are explored
    Date
    22. 6.2002 19:39:23
    Theme
    Klassifikationssysteme im Online-Retrieval
  4. Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012) 0.04 
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    Abstract
    The explosion of the information available on the Internet has made traditional information retrieval systems, characterized by one size fits all approaches, less effective. Indeed, users are overwhelmed by the information delivered by such systems in response to their queries, particularly when the latter are ambiguous. In order to tackle this problem, the state-of-the-art reveals that there is a growing interest towards contextual information retrieval (CIR) which relies on various sources of evidence issued from the user's search background and environment, in order to improve the retrieval accuracy. This chapter focuses on mobile context, highlights challenges they present for IR, and gives an overview of CIR approaches applied in this environment. Then, the authors present an approach to personalize search results for mobile users by exploiting both cognitive and spatio-temporal contexts. The experimental evaluation undertaken in front of Yahoo search shows that the approach improves the quality of top search result lists and enhances search result precision.
    Date
    20. 4.2012 13:19:22
    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  5. Koch, T.: Searching the Web : systematic overview over indexes (1995) 0.04 
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    Pages
    S.29-61
    Source
    Wissen in elektronischen Netzwerken: Strukturierung, Erschließung und Retrieval von Informationsressourcen im Internet. Eine Auswahl von Vorträgen der 19. Jahrestagung der Gesellschaft für Klassifikation, Basel 1995. Hrsg.: H.-C. Hobohm u. H.-J. Wätjen
  6. Wild, F.: Visuelle Verfahren im Information Retrieval (2005) 0.04 
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    Abstract
    Bislang wird dem Studium bestehender Verfahren in der Visualisierung des Document Retrieval von Suchmaschinen zu wenig Aufmerksamkeit geschenkt. Der vorliegende Beitrag widmet sich dem Studium von acht Systemen und Prototypen, um die best-practice-Auslese und die Identifikation erfolgsrelevanter Features und Element zu erleichtern. Er legt dazu ein Modell für das visuelle Information Retrieval in Suchmaschinen vor, beschreibt und analysiert die ausgewählten Verfahren und deduziert Herausforderungen für künftige Forschungen. Die wichtigsten Erkenntnisse dabei sind, dass zwar zu wenig integrale Systeme existieren, die den gesamten Retrievalprozess integriert visuell unterstützen, die vorhandenen aber bereits (trotz ihrer Unvollständigkeit) einen Ausweg aus der linearen Krise der Ergebnispräsentation textbasierter Suchmaschinen aufzeigen. Wenngleich noch nicht alle Informationsbedürfnisse von den untersuchten Verfahren erfüllt werden, so zeichnet sich doch ab, dass insbesondere durch die Innovation von Interaktions- und Manipulationsformen neue Wege beschritten werden, die sich auf Effektivität und Effizienz derRetrievalverfahren auswirken.
    Source
    Information - Wissenschaft und Praxis. 56(2005) H.1, S.29-34
  7. Ke, W.: Decentralized search and the clustering paradox in large scale information networks (2012) 0.04 
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    Abstract
    Amid the rapid growth of information today is the increasing challenge for people to navigate its magnitude. Dynamics and heterogeneity of large information spaces such as the Web raise important questions about information retrieval in these environments. Collection of all information in advance and centralization of IR operations are extremely difficult, if not impossible, because systems are dynamic and information is distributed. The chapter discusses some of the key issues facing classic information retrieval models and presents a decentralized, organic view of information systems pertaining to search in large scale networks. It focuses on the impact of network structure on search performance and discusses a phenomenon we refer to as the Clustering Paradox, in which the topology of interconnected systems imposes a scalability limit.
    Pages
    S.29-46
    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  8. Hsieh-Yee, I.: ¬The retrieval power of selected search engines : how well do they address general reference questions and subject questions? (1998) 0.04 
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    Abstract
    Evaluates the performance of 8 major Internet search engines in answering 21 real reference questions and 5 made up subject questions. Reports on the retrieval and relevancy ranking abilities of the search engines. Concludes that the search engines did not produce good results for the reference questions unlike for the subject questions. The best engines are identified by type of questions, with Infoseek best for the subject questions, and OpenText best for refrence questions
    Date
    25.12.1998 19:22:51
  9. Wiley, D.L.: Beyond information retrieval : ways to provide content in context (1998) 0.04 
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    Abstract
    The days of the traditional abstracting and indexing services are waning, as abstracts and bibliographic data become commodities. However, there are tremedous opportunities for those organizations willing to look beyond the status quo to the new possibilities enabled by the latest wave of advanced technologies. Those who own content need to focus on the delivery mechanisms and new markets that technology can provide. Features like automatic extraction of key concepts or names, collaborative filtering to help with trend analysis, and visualization techniques can take information past the retrieval stage and into the management area
    Source
    Database. 21(1998) no.4, S.18-22
  10. Peters, I.: Folksonomies und kollaborative Informationsdienste : eine Alternative zur Websuche? (2011) 0.03 
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    Abstract
    Folksonomies ermöglichen den Nutzern in Kollaborativen Informationsdiensten den Zugang zu verschiedenartigen Informationsressourcen. In welchen Fällen beide Bestandteile des Web 2.0 am besten für das Information Retrieval geeignet sind und wo sie die Websuche ggf. ersetzen können, wird in diesem Beitrag diskutiert. Dazu erfolgt eine detaillierte Betrachtung der Reichweite von Social-Bookmarking-Systemen und Sharing-Systemen sowie der Retrievaleffektivität von Folksonomies innerhalb von Kollaborativen Informationsdiensten.
    Pages
    S.29-53
  11. Herrera-Viedma, E.; Pasi, G.: Soft approaches to information retrieval and information access on the Web : an introduction to the special topic section (2006) 0.03 
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    Abstract
    The World Wide Web is a popular and interactive medium used to collect, disseminate, and access an increasingly huge amount of information, which constitutes the mainstay of the so-called information and knowledge society. Because of its spectacular growth, related to both Web resources (pages, sites, and services) and number of users, the Web is nowadays the main information repository and provides some automatic systems for locating, accessing, and retrieving information. However, an open and crucial question remains: how to provide fast and effective retrieval of the information relevant to specific users' needs. This is a very hard and complex task, since it is pervaded with subjectivity, vagueness, and uncertainty. The expression soft computing refers to techniques and methodologies that work synergistically with the aim of providing flexible information processing tolerant of imprecision, vagueness, partial truth, and approximation. So, soft computing represents a good candidate to design effective systems for information access and retrieval on the Web. One of the most representative tools of soft computing is fuzzy set theory. This special topic section collects research articles witnessing some recent advances in improving the processes of information access and retrieval on the Web by using soft computing tools, and in particular, by using fuzzy sets and/or integrating them with other soft computing tools. In this introductory article, we first review the problem of Web retrieval and the concept of soft computing technology. We then briefly introduce the articles in this section and conclude by highlighting some future research directions that could benefit from the use of soft computing technologies.
    Date
    22. 7.2006 16:59:33
    Footnote
    Beitrag in einer Special Topic Section on Soft Approaches to Information Retrieval and Information Access on the Web
  12. Altmann, O.; Pöhl, S.: Information Retrieval im Internet : bekannte Suchdienste und ihre Eigenschaften (1997) 0.03 
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    Pages
    S.18-22
  13. Amato, G.; Rabitti, F.; Savino, P.: Multimedia document search on the Web (1998) 0.03 
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    Abstract
    Presents a multimedia model which describes the various multimedia components, their structure and their relationships with a pre-defined taxonomy of concepts, in order to support search engine information retrieval process
    Date
    1. 8.1996 22:08:06
  14. Gardner, T.; Iannella, R.: Architecture and software solutions (2000) 0.03 
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    Abstract
    The current subject gateways have evolved over time when the discipline of Internet resource discovery was in its infancy. This is reflected by the lack of well-established, light-weight, deployable, easy-to-use, standards for metadata and information retrieval. We provide an introduction to the architecture, standards and software solutions in use by subject gateways, and to the issues that must be addressed to support future subject gateways
    Date
    22. 6.2002 19:38:24
  15. Schüler, P.: Wertes Wissen : Knowledge Management vermeidet Datenfriedhöfe (2001) 0.03 
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    Abstract
    Wer ohne spezielle Vorkenntnisse schnell in einem Thema Fuß fassen will, ist auf intelligente Recherchierhilfen angewiesen. Gurus der künstlichen Intelligenz kennen schon langm Wege, die Datenwelt besser als mit Schlagwort-Suchmaschinen nach Inhalten zu durchforsten - nur in der Praxis war davon wenig zu sehen. Aktuelle Software zum Content-Retrieval will die scheinbare Utopie verwirklichen
    Date
    8.11.2001 19:58:22
  16. Lewandowski, D.: Web Information Retrieval : Technologien zur Informationssuche im Internet (2005) 0.03 
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    Abstract
    Verfahren des Information Retrieval haben in den letzten Jahren eine enorme Bedeutung erlangt. Während diese Verfahren jahrzehntelang nur Einsatz in spezialisierten Datenbanken fanden, haben sie durch das Aufkommen von Suchmaschinen im World Wide Web mittlerweile eine zentrale Bedeutung in der Informationsversorgung eingenommen. Verfahren des Web Information Retrieval entscheiden darüber, welche Informationen von Nutzern gefunden werden; man spricht auch von einer "Gatekeeper"-Funktion der Suchmaschinen. Diese sind zum bedeutendsten Rechercheinstrument sowohl im privaten, beruflichen als auch wissenschaftlichen Bereich avanciert. Google, die berühmteste der "Information-Retrieval-Firmen", ist fast täglich in den Schlagzeilen zu finden. Immer neue Innovationen (nicht nur dieses Anbieters) zeigen die Web-Suche als dynamisches Feld. Vor allem wird durch die zahlreichen Neuerungen der letzten Jahre, teilweise erst der letzten Monate, deutlich, dass die Suche im Web trotz ihrer mittlerweile fast zehnjährigen Geschichte erst am Anfang steht. Dass dem Web Information Retrieval eine hohe Bedeutung zugemessen wird, zeigt sich auch im wachsenden Interesse kommerzieller Unternehmen an diesem Thema. Ein Blick auf die Sponsorenliste der letztjährigen Konferenz der ACM Special Interest Group on Information Retrieval mag dies verdeutlichen: Neben den wichtigen Suchmaschinen-Anbietern Google, Microsoft, Yahoo und Ask Jeeves finden sich auch Großunternehmen wie IBM, Canon und Sharp. Auch in der gesellschaftlichen Diskussion sind die Suchmaschinen angekommen: Es findet gegenwärtig eine Diskussion um die "Google-Gesellschaft" statt, wobei gefragt wird, inwieweit ein einzelner Anbieter bzw. wenige Anbieter darüber entscheiden sollten, welche Informationen beim Nutzer angelangen. In dieser Hinsicht befassen sich inzwischen auch politische Parteien mit dem Thema. So publizierte etwa die Gründe Bundestagsfraktion ein Diskussionspapier unter dem Titel "Suchmaschinen: Tore zum Netz", in welchem unter anderem die Rolle der Suchmaschinen beim Zugang zu Informationen und Probleme des Datenschutzes bei der Suchmaschinennutzung angesprochen werden.
    Die vorliegende Arbeit setzt auf einer eher technischen Ebene an und bietet die Grundlagen für das Verständnis der Funktionsweise und der Defizite von Web-Suchmaschinen. Während zum klassischen Information Retrieval eine breite Auswahl an Literatur vorliegt, gibt es bisher kein Werk, welches eine umfassende Darstellung des Web Information Retrieval mit seinen Unterscheidungen und Besonderheiten gegenüber dem "klassischen" Information Retrieval bietet. Monographien zum Thema Suchmaschinen behandeln vor allem deren Suchfunktionen oder konzentrieren sich allein auf algorithmische Aspekte des Web Information Retrieval. Die Forschungslitertaur liegt zum überwältigenden Teil nur in englischer Sprache vor; die Forschung selbst findet zu einem großen Teil in den USA statt. Aus diesem Grund werden Spezifika anderer Sprachen als des Englischen sowie Besonderheiten auf nationaler oder gar kontinentaler Ebene vernachlässigt. Die Konsequenzen, die sich aus den Besonderheiten des Web Information Re¬trieval ergeben, wurden bisher nur unzureichend erkannt. Suchmaschinen orientieren sich noch stark am klassischen Information Retrieval, wenn auch teils eigene Rankingkriterien gefunden wurden, vor allem die Ergänzung der klassischen Faktoren durch eine Art der Qualitätsbewertung der indexierten Dokumente. Die Arbeit soll aufzeigen, welche Schritte nötig sind, um Web Information Retrieval vor allem auch in Hinblick auf die Charakteristika der Suchmaschinen-Nutzer effektiv zu gestalten. Die Verfahren des klassischen Information Retrieval versagen hier, da sie einerseits von einer gepflegten Dokumentenkollektion, andererseits von einem geschulten Nutzer ausgehen. Suchmaschinen haben mit Problemen des sog. Index-Spamming zu kämpfen: Hierbei werden (oft in kommerziellem Interesse) inhaltlich wertlose Dokumente erstellt, die in den Trefferlisten der Suchmaschinen auf den vorderen Rängen angezeigt werden sollen, um Nutzer auf eine bestimmte Webseite zu lenken. Zwar existieren Verfahren, die ein solches Spamming verhindern sollen, allerdings können auch diese das Problem lediglich eindämmen, nicht aber verhindern. Das Problem ließe sich wenigstens zum Teil durch die Nutzer lösen, wenn diese gezielte Suchanfragen stellen würden, die solche irrelevanten Treffer ausschließen würden. Allerdings zeigt die Nutzerforschung einheitlich, dass das Wissen der Nutzer über die von ihnen verwendeten Suchmaschinen ausgesprochen gering ist; dies gilt sowohl für ihre Kenntnisse der Funktionsweise der Suchmaschinen als auch die Kenntnis der Suchfunktionen.
    Die Arbeit konzentriert sich neben der Darstellung des Forschungsstands im Bereich des Web Information Retrieval auf einen nutzerzentrierten Ansatz des Aufbaus von Suchmaschinen, der sich aus dem Retrieval in klassischen Datenbanken herleitet. Als zentral für eine erfolgreiche Recherche wird dabei die Möglichkeit der gezielten Beschränkung der Recherche durch den Nutzer gesehen; die wichtigsten Faktoren sind hierbei die Einschränkung nach Aktualität, Qualität und die verbesserte Dokumentauswahl aufgrund einer erweiterten Dokumentrepräsentation. Alle drei Möglichkeiten sind in bisher verfügbaren Suchmaschinen nicht zufrieden stellend implementiert. Ein Problem bei der Bearbeitung des Themas ergab sich aus der Tatsache, dass die Forschung im Bereich Web Information Retrieval zu einem großen Teil bei den Anbietern selbst stattfindet, die darauf bedacht sind, ihre Erkenntnisse nicht zu veröffentlichen und damit der Konkurrenz zu überlassen. Viele Forschungsergebnisse können daher nur anhand der fertiggestellten Anwendungen rekonstruiert werden; hilfreich waren in manchen Fällen auch die von den Suchmaschinenbetreibern angemeldeten Patente, die für die vorliegende Arbeit ausgewertet wurden. Insgesamt zeigt sich, dass eine neue Form des Information Retrieval entstanden ist. Ziele des klassischen Information Retrieval wie die Vollständigkeit der Treffermenge verlieren ob der schieren Masse der zurückgegebenen Treffer an Bedeutung; dafür werden Faktoren der Qualitätsbewertung der Dokumente immer wichtiger. Das Web Information Retrieval setzt auf dem klassischen Information Retrieval auf und erweitert dieses wo nötig. Das Ziel bleibt aber weitgehend das gleiche: Dem Nutzer die für die Befriedigung seines Informationsbedürfnisses besten Ergebnisse zu liefern. Neben der Informationswissenschaft findet die Information-Retrieval-Forschung hauptsächlich in der Informatik statt. Der informationswissenschaftlichen Forschung kommt die Aufgabe zu, den stark technik-zentrierten Ansatz der Informatik um einen "Blick fürs Ganze" zu erweitern und insbesondere die Bedürfnisse der Nutzer in ihren Ansatz einzubinden. Aufgrund der enormen Bedeutung des Web Information Retrieval, welches in den klassischen informationswissenschaftlichen Bereich fällt, ergibt sich für die Informationswissenschaft auch die Chance, sich in diesem Thema gegenüber anderen Disziplinen zu profilieren. Zum Aufbau der Arbeit Die Arbeit lässt sich grob in zwei Hauptteile gliedern: Der erste Teil (Kap. 2-10) beschreibt den Bereich Web Information Retrieval mit allen seinen Besonderheiten in Abgrenzung zum klassischen Information Retrieval; der zweite Teil (Kap. 11-13) stellt anhand der Ergebnisse des ersten Teils einen nutzerzentrierten Ansatz der Rechercheverfeinerung in mehreren Schritten vor.
    Content
    Inhalt: 1 Einleitung 2 Forschungsumfeld 2.1 Suchmaschinen-Markt 2.2 Formen der Suche im WWW 2.3 Aufbau algorithmischer Suchmaschinen 2.4 Abfragesprachen 2.5 Arten von Suchanfragen 2.6 Nutzerstudien 2.7 Forschungsbereiche 3 Die Größe des Web und seine Abdeckung durch Suchmaschinen 3.1 Die Größe des indexierbaren Web 3.2 Die Struktur des Web 3.3 Crawling 3.4 Aktualität der Suchmaschinen 3.5 Das Invisible Web 4 Strukturinformationen 4.1 Strukturierungsgrad von Dokumenten 4.2 Strukturinformationen in den im Web gängigen Dokumenten 4.3 Trennung von Navigation, Layout und Inhalt 4.4 Repräsentation der Dokumente in den Datenbanken der Suchmaschinen 5 Klassische Verfahren des Information Retrieval und ihre Anwendung bei WWW-Suchmaschinen 5.1 Unterschiede zwischen klassischem Information Retrieval und Web Information Retrieval 5.2 Kontrolliertes Vokabular 5.3 Kriterien für die Aufnahme in den Datenbestand 5.4 Modelle des Information Retrieval 6 Ranking 6.1 Rankingfaktoren 6.2 Messbarkeit von Relevanz 6.3 Grundsätzliche Probleme des Relevance Ranking in Suchmaschinen
    Date
    11. 2.2006 20:15:29
  17. Garcés, P.J.; Olivas, J.A.; Romero, F.P.: Concept-matching IR systems versus word-matching information retrieval systems : considering fuzzy interrelations for indexing Web pages (2006) 0.03 
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    Abstract
    This article presents a semantic-based Web retrieval system that is capable of retrieving the Web pages that are conceptually related to the implicit concepts of the query. The concept of concept is managed from a fuzzy point of view by means of semantic areas. In this context, the proposed system improves most search engines that are based on matching words. The key of the system is to use a new version of the Fuzzy Interrelations and Synonymy-Based Concept Representation Model (FIS-CRM) to extract and represent the concepts contained in both the Web pages and the user query. This model, which was integrated into other tools such as the Fuzzy Interrelations and Synonymy based Searcher (FISS) metasearcher and the fz-mail system, considers the fuzzy synonymy and the fuzzy generality interrelations as a means of representing word interrelations (stored in a fuzzy synonymy dictionary and ontologies). The new version of the model, which is based on the study of the cooccurrences of synonyms, integrates a soft method for disambiguating word senses. This method also considers the context of the word to be disambiguated and the thematic ontologies and sets of synonyms stored in the dictionary.
    Date
    22. 7.2006 17:14:12
    Footnote
    Beitrag in einer Special Topic Section on Soft Approaches to Information Retrieval and Information Access on the Web
  18. Sauer, D.: Alles schneller finden (2001) 0.03 
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    Date
    1. 8.1997 14:03:29
    11.11.2001 17:25:22
    Source
    Com!online. 2001, H.12, S.24-29
  19. Speck, H.; Thiele, F.P.: Playing the search engines or hacking the box : Möglichkeiten und Gefahren von Suchmaschinen-Hacking am Beispiel von Google (2007) 0.03 
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    Abstract
    Dieses Kapitel beschreibt ein quantitatives Verfahren, bei dem Suchmaschinen als exploratives Werkzeug für die Erhebung forschungsrelevanter Daten benutzt werden. Suchmaschinen bilden dabei die Grundlage für einen systemtheoretischen Ansatz, der die gewonnenen Informationen für die Abbildung der makro-soziologischen Eigenschaften einzelner Webseiten und kompletter Netzwerke nutzt. Die technischen Fortschritte des Information Retrieval ermöglichen 15 Jahre nach der Evolution des Internets zum Massenmedium Zugang zu Informationen und informationsverfahren, die ohne den Wandel des Verhältnisses von Öffentlichkeit und Privatsphäre, von Internetnutzern zu Inhalte-Produzenten und von Sendern zu Empfängern im Sinne des mathematischen Modells der Kommunikation nicht vorstellbar sind. Diese Entwicklung erlaubt die Nutzung innovativer Explorationsverfahren, die durch den direkten Zugriff auf Milliarden von Daten auch Einblicke in die Transaktionsprozesse der daran beteiligten Suchmaschinen und Märkte bieten. Im Folgenden werden die Transformationen des Öffentlichen Raumes und der Privatsphäre beleuchtet. Besonderes Augenmerk gilt dabei dem Zugang und der Verfügbarkeit von Informationen in Information-Retrieval-Systemen, die relevante Informationen für eine umfassende Exploration und Analyse der Zielobjekte geben. Beschrieben wird insbesondere, wie eine Nutzung von Suchmaschinen zur Datenerhebung verbunden mit einer Betrachtung als geregelte Prozesse innerhalb eines kybernetischen Modells Nutzungsmöglichkeiten und Optionen für die quantitative Analyse von Nutzerverhalten, Strukturen und Marktzahlen bietet.
    Date
    13. 5.2007 10:29:29
  20. Hume, C.: Internet search engines and robots : what they are and how to use them (2000) 0.03 
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    Abstract
    An overview of the Internet is provided. It describes what the Internet is, how and when it was started, and the four main functions it currently offers. It then focuses on the World Wide Web, and in particular robots and search engines. An overview is provided of both robots and search engines, with some examples and illustrations. It concludes with how to choose a search engine for a particular enquiry, gives some hints and tips for Internet searches, and emphasises that good retrieval is achieved not only by good search engines but also by responsible Web mastering which helps to disseminate effectively any Internet published material.
    Source
    Journal of Internet cataloging. 2(2000) nos.3/4, S.29-45

Authors

Years

Languages

  • e 225
  • d 156
  • f 3
  • sp 3
  • nl 2
  • ja 1
  • More… Less…

Types

  • a 343
  • m 25
  • el 23
  • x 6
  • s 4
  • p 2
  • r 2
  • More… Less…

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