-
Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014)
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- Source
- http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
-
Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004)
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- Content
- Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
- Date
- 8. 1.2013 10:22:32
-
Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents
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- Content
- Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
- Source
- WWW '02: Proceedings of the 11th International Conference on World Wide Web, May 7-11, 2002, Honolulu, Hawaii, USA
-
Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009)
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- Date
- 29. 8.2009 21:15:48
- Footnote
- Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
-
Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005)
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- Abstract
- By the explosion of possibilities for a ubiquitous content production, the information overload problem reaches the level of complexity which cannot be managed by traditional modelling approaches anymore. Due to their pure syntactical nature traditional information retrieval approaches did not succeed in treating content itself (i.e. its meaning, and not its representation). This leads to a very low usefulness of the results of a retrieval process for a user's task at hand. In the last ten years ontologies have been emerged from an interesting conceptualisation paradigm to a very promising (semantic) modelling technology, especially in the context of the Semantic Web. From the information retrieval point of view, ontologies enable a machine-understandable form of content description, such that the retrieval process can be driven by the meaning of the content. However, the very ambiguous nature of the retrieval process in which a user, due to the unfamiliarity with the underlying repository and/or query syntax, just approximates his information need in a query, implies a necessity to include the user in the retrieval process more actively in order to close the gap between the meaning of the content and the meaning of a user's query (i.e. his information need). This thesis lays foundation for such an ontology-based interactive retrieval process, in which the retrieval system interacts with a user in order to conceptually interpret the meaning of his query, whereas the underlying domain ontology drives the conceptualisation process. In that way the retrieval process evolves from a query evaluation process into a highly interactive cooperation between a user and the retrieval system, in which the system tries to anticipate the user's information need and to deliver the relevant content proactively. Moreover, the notion of content relevance for a user's query evolves from a content dependent artefact to the multidimensional context-dependent structure, strongly influenced by the user's preferences. This cooperation process is realized as the so-called Librarian Agent Query Refinement Process. In order to clarify the impact of an ontology on the retrieval process (regarding its complexity and quality), a set of methods and tools for different levels of content and query formalisation is developed, ranging from pure ontology-based inferencing to keyword-based querying in which semantics automatically emerges from the results. Our evaluation studies have shown that the possibilities to conceptualize a user's information need in the right manner and to interpret the retrieval results accordingly are key issues for realizing much more meaningful information retrieval systems.
- Content
- Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.
- Date
- 31. 3.2013 15:20:28
- Theme
- Semantic Web
-
Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010)
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- Abstract
- While classifications are heavily used to categorize web content, the evolution of the web foresees a more formal structure - ontology - which can serve this purpose. Ontologies are core artifacts of the Semantic Web which enable machines to use inference rules to conduct automated reasoning on data. Lightweight ontologies bridge the gap between classifications and ontologies. A lightweight ontology (LO) is an ontology representing a backbone taxonomy where the concept of the child node is more specific than the concept of the parent node. Formal lightweight ontologies can be generated from their informal ones. The key applications of formal lightweight ontologies are document classification, semantic search, and data integration. However, these applications suffer from the following problems: the disambiguation accuracy of the state of the art NLP tools used in generating formal lightweight ontologies from their informal ones; the lack of background knowledge needed for the formal lightweight ontologies; and the limitation of ontology reuse. In this dissertation, we propose a novel solution to these problems in formal lightweight ontologies; namely, faceted lightweight ontology (FLO). FLO is a lightweight ontology in which terms, present in each node label, and their concepts, are available in the background knowledge (BK), which is organized as a set of facets. A facet can be defined as a distinctive property of the groups of concepts that can help in differentiating one group from another. Background knowledge can be defined as a subset of a knowledge base, such as WordNet, and often represents a specific domain.
- Content
- PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.
-
Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978)
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- Source
- https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
-
Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012)
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- Abstract
- In this thesis we propose three new word association measures for multi-word term extraction. We combine these association measures with LocalMaxs algorithm in our extraction model and compare the results of different multi-word term extraction methods. Our approach is language and domain independent and requires no training data. It can be applied to such tasks as text summarization, information retrieval, and document classification. We further explore the potential of using multi-word terms as an effective representation for general web-page summarization. We extract multi-word terms from human written summaries in a large collection of web-pages, and generate the summaries by aligning document words with these multi-word terms. Our system applies machine translation technology to learn the aligning process from a training set and focuses on selecting high quality multi-word terms from human written summaries to generate suitable results for web-page summarization.
- Content
- A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Computer Science. Vgl. Unter: http://www.inf.ufrgs.br%2F~ceramisch%2Fdownload_files%2Fpublications%2F2009%2Fp01.pdf.
- Date
- 10. 1.2013 19:22:47
-
Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005)
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- Content
- Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
-
Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019)
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- Content
- Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
-
Noever, D.; Ciolino, M.: ¬The Turing deception (2022)
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- Source
- https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
-
Xiong, C.: Knowledge based text representations for information retrieval (2016)
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- Content
- Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
-
Malsburg, C. von der: ¬The correlation theory of brain function (1981)
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- Source
- http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
-
Huberman, B.: ¬The laws of the Web: : patterns in the ecology of information (2001)
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- Date
- 22.10.2006 10:22:33
- Footnote
- Rez. in: nfd 54(2003) H.8, S.497 (T. Mandl): "Gesetze der digitalen Anarchie - Hyperlinks im Internet entstehen als Ergebnis sozialer Prozesse und können auch als formaler Graph im Sinne der Mathematik interpretiert werden. Die Thematik Hyperlinks ist im Information Retrieval höchst aktuell, da Suchmaschinen die Link-Struktur bei der Berechnung ihrer Ergebnisse berücksichtigen. Algorithmen zur Bestimmung des "guten Rufs" einer Seite wie etwa PageRank von Google gewichten eine Seite höher, wenn viele links auf sie verweisen. Zu den neuesten Erkenntnissen über die Netzwerkstruktur des Internets liegen zwei sehr gut lesbare Bücher vor. Der Autor des ersten Buchs, der Wirtschaftswissenschaftler Huberman, ist Leiter einer Forschungsabteilung bei Hewlett Packard. Huberman beschreibt in seinem Buch zunächst die Geschichte des Internet als technologische Revolution und gelangt dann schnell zu dessen Evolution und den darin vorherrschenden Wahrscheinlichkeitsverteilungen. Oberraschenderweise treten im Internet häufig power-law Wahrscheinlichkeitsverteilungen auf, die der Zipf'schen Verteilung ähneln. Auf diese sehr ungleichen Aufteilungen etwa von eingehenden HypertextLinks oder Surfern pro Seite im Internet bezieht sich der Titel des Buchs. Diese immer wieder auftretenden Wahrscheinlichkeitsverteilungen scheinen geradezu ein Gesetz des Internet zu bilden. So gibt es z.B. viele Sites mit sehr wenigen Seiten und einige wenige mit Millionen von Seiten, manche Seiten werden selten besucht und andere ziehen einen Großteil des Internet-Verkehrs auf sich, auf die meisten Seiten verweisen sehr wenige Links während auf einige wenige populäre Seiten Millionen von Links zielen. Das vorletzte Kapitel widmen übrigens beide Autoren den Märkten im Internet. Spätestens hier werden die wirtschaftlichen Aspekte von Netzwerken deutlich. Beide Titel führen den Leser in die neue Forschung zur Struktur des Internet als Netzwerk und sind leicht lesbar. Beides sind wissenschaftliche Bücher, wenden sich aber auch an den interessierten Laien. Das Buch von Barabási ist etwas aktueller, plauderhafter, länger, umfassender und etwas populärwissenschaftlicher."
- LCSH
- World Wide Web / Social aspects
- Subject
- World Wide Web / Social aspects
-
Harmsen, B.: Adding value to Web-OPACs (2000)
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- Date
- 28. 3.2002 10:08:29
-
Rohmann, G.: Media on demand : Approaches to web-based media services in libraries (2000)
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- Date
- 21. 4.2000 12:29:28
-
Vidmar, D.J.: Darwin on the Web : the evolution of search tools (1999)
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- Source
- Computers in libraries. 19(1999) no.5, S.22-28
-
Zschunke, P.: Richtig googeln : Ein neues Buch hilft, alle Möglichkeiten der populären Suchmaschine zu nutzen (2003)
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- Content
- "Fünf Jahre nach seiner Gründung ist Google zum Herz des weltweiten Computernetzes geworden. Mit seiner Konzentration aufs Wesentliche hat die Suchmaschine alle anderen Anbieter weit zurück gelassen. Aber Google kann viel mehr, als im Web nach Texten und Bildern zu suchen. Gesammelt und aufbereitet werden auch Beiträge in Diskussionsforen (Newsgroups), aktuelle Nachrichten und andere im Netz verfügbare Informationen. Wer sich beim "Googeln" darauf beschränkt, ein einziges Wort in das Suchformular einzutippen und dann die ersten von oft mehreren hunderttausend Treffern anzuschauen, nutzt nur einen winzigen Bruchteil der Möglichkeiten. Wie man Google bis zum letzten ausreizt, haben Tara Calishain und Rael Dornfest in einem bislang nur auf Englisch veröffentlichten Buch dargestellt (Tara Calishain/Rael Dornfest: Google Hacks", www.oreilly.de, 28 Euro. Die wichtigsten Praxistipps kosten als Google Pocket Guide 12 Euro). - Suchen mit bis zu zehn Wörtern - Ihre "100 Google Hacks" beginnen mit Google-Strategien wie der Kombination mehrerer Suchbegriffe und enden mit der Aufforderung zur eigenen Nutzung der Google API ("Application Programming Interface"). Diese Schnittstelle kann zur Entwicklung von eigenen Programmen eingesetzt werden,,die auf die Google-Datenbank mit ihren mehr als drei Milliarden Einträgen zugreifen. Ein bewussteres Suchen im Internet beginnt mit der Kombination mehrerer Suchbegriffe - bis zu zehn Wörter können in das Formularfeld eingetippt werden, welche Google mit dem lo-gischen Ausdruck "und" verknüpft. Diese Standardvorgabe kann mit einem dazwischen eingefügten "or" zu einer Oder-Verknüpfung geändert werden. Soll ein bestimmter Begriff nicht auftauchen, wird ein Minuszeichen davor gesetzt. Auf diese Weise können bei einer Suche etwa alle Treffer ausgefiltert werden, die vom Online-Buchhändler Amazon kommen. Weiter gehende Syntax-Anweisungen helfen ebenfalls dabei, die Suche gezielt einzugrenzen: Die vorangestellte Anweisung "intitle:" etwa (ohne Anführungszeichen einzugeben) beschränkt die Suche auf all diejenigen Web-Seiten, die den direkt danach folgenden Begriff in ihrem Titel aufführen. Die Computer von Google bewältigen täglich mehr als 200 Millionen Anfragen. Die Antworten kommen aus einer Datenbank, die mehr als drei Milliarden Einträge enthält und regelmäßig aktualisiert wird. Dazu Werden SoftwareRoboter eingesetzt, so genannte "Search-Bots", die sich die Hyperlinks auf Web-Seiten entlang hangeln und für jedes Web-Dokument einen Index zur Volltextsuche anlegen. Die Einnahmen des 1998 von Larry Page und Sergey Brin gegründeten Unternehmens stammen zumeist von Internet-Portalen, welche die GoogleSuchtechnik für ihre eigenen Dienste übernehmen. Eine zwei Einnahmequelle ist die Werbung von Unternehmen, die für eine optisch hervorgehobene Platzierung in den GoogleTrefferlisten zahlen. Das Unternehmen mit Sitz im kalifornischen Mountain View beschäftigt rund 800 Mitarbeiter. Der Name Google leitet sich ab von dem Kunstwort "Googol", mit dem der amerikanische Mathematiker Edward Kasner die unvorstellbar große Zahl 10 hoch 100 (eine 1 mit hundert Nullen) bezeichnet hat. Kommerzielle Internet-Anbieter sind sehr, daran interessiert, auf den vordersten Plätzen einer Google-Trefferliste zu erscheinen.
Da Google im Unterschied zu Yahoo oder Lycos nie ein auf möglichst viele Besuche angelegtes Internet-Portal werden wollte, ist die Suche in der Datenbank auch außerhalb der Google-Web-Site möglich. Dafür gibt es zunächst die "Google Toolbar" für den Internet Explorer, mit der dieser Browser eine eigene Leiste, für die Google-Suche erhält. Freie Entwickler bieten im Internet eine eigene Umsetzung: dieses Werkzeugs auch für den Netscape/ Mozilla-Browser an. Daneben kann ein GoogleSucheingabefeld aber auch auf die eigene WebSeite platziert werden - dazu sind nur vier Zei-len HTML-Code nötig. Eine Google-Suche zu starten, ist übrigens auch ganz ohne Browser möglich. Dazu hat das Unternehmen im Aprilvergangenen Jahres die API ("Application Programming Interface") frei gegeben, die in eigene Programme' eingebaut wird. So kann man etwa eine Google-Suche mit einer E-Mail starten: Die Suchbegriffe werden in die Betreff Zeile einer ansonsten leeren EMail eingetragen, die an die Adresse google@capeclear.com geschickt wird. Kurz danach trifft eine automatische Antwort-Mail mit den ersten zehn Treffern ein. Die entsprechenden Kenntnisse vorausgesetzt, können Google-Abfragen auch in Web-Services eingebaut werden - das sind Programme, die Daten aus dem Internet verarbeiten. Als Programmiertechniken kommen dafür Perl, PHP, Python oder Java in Frage. Calishain und Dornfest stellen sogar eine Reihe von abgedrehten Sites vor, die solche Programme für abstrakte Gedichte oder andere Kunstwerke einsetzen."
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Handley, M.; Crowcroft, J.: ¬The world wide web : beneath the surf (1995)
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- Date
- 29. 3.1996 18:28:09
26. 7.2002 14:23:29
- LCSH
- World Wide Web (Information retrieval system)
- Subject
- World Wide Web (Information retrieval system)
-
Vizine-Goetz, D.; Beall, J.: Using literary warrant to define a version of the DDC for automated classification services (2004)
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- Abstract
- This paper presents the results of an exploratory study to determine literary warrant for topics in electronic resources. The classification numbers in Abridged Edition 14 were used as a starting point. Using the principles of abridgment and expansion in Dewey, a version of the DDC is defined that accommodates the topics found an three diverse Web sites that use Dewey: BUBL, Canadian Information By Subject, and KidsClick! The resulting classes are used to create a database for automated classification of Web resources.
- Date
- 6. 1.1997 18:30:28
29. 8.2004 13:42:31
- Object
- DDC-22
