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Content

Vgl.: http%3A%2F%2Fcreativechoice.org%2Fdoc%2FHansJonas.pdf&usg=AOvVaw1TM3teaYKgABL5H9yoIifA&opi=89978449.

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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

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Abstract

The successes of information retrieval (IR) in recent decades were built upon bag-of-words representations. Effective as it is, bag-of-words is only a shallow text understanding; there is a limited amount of information for document ranking in the word space. This dissertation goes beyond words and builds knowledge based text representations, which embed the external and carefully curated information from knowledge bases, and provide richer and structured evidence for more advanced information retrieval systems. This thesis research first builds query representations with entities associated with the query. Entities' descriptions are used by query expansion techniques that enrich the query with explanation terms. Then we present a general framework that represents a query with entities that appear in the query, are retrieved by the query, or frequently show up in the top retrieved documents. A latent space model is developed to jointly learn the connections from query to entities and the ranking of documents, modeling the external evidence from knowledge bases and internal ranking features cooperatively. To further improve the quality of relevant entities, a defining factor of our query representations, we introduce learning to rank to entity search and retrieve better entities from knowledge bases. In the document representation part, this thesis research also moves one step forward with a bag-of-entities model, in which documents are represented by their automatic entity annotations, and the ranking is performed in the entity space.
This proposal includes plans to improve the quality of relevant entities with a co-learning framework that learns from both entity labels and document labels. We also plan to develop a hybrid ranking system that combines word based and entity based representations together with their uncertainties considered. At last, we plan to enrich the text representations with connections between entities. We propose several ways to infer entity graph representations for texts, and to rank documents using their structure representations. This dissertation overcomes the limitation of word based representations with external and carefully curated information from knowledge bases. We believe this thesis research is a solid start towards the new generation of intelligent, semantic, and structured information retrieval.

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.

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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

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Footnote

https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.

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Footnote

Rez. in: Philosophisch-ethische Rezensionen vom 09.11.2019 (Jürgen Czogalla), Unter: https://philosophisch-ethische-rezensionen.de/rezension/Goedert1.html. In: B.I.T. online 23(2020) H.3, S.345-347 (W. Sühl-Strohmenger) [Unter: https%3A%2F%2Fwww.b-i-t-online.de%2Fheft%2F2020-03-rezensionen.pdf&usg=AOvVaw0iY3f_zNcvEjeZ6inHVnOK]. In: Open Password Nr. 805 vom 14.08.2020 (H.-C. Hobohm) [Unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzE0MywiOGI3NjZkZmNkZjQ1IiwwLDAsMTMxLDFd].

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Content

Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.

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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.

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Footnote

Vgl. unter: https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=2ahUKEwizweHljdbcAhVS16QKHXcFD9QQFjABegQICRAB&url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F271200105_Die_Autonomie_des_Menschen_und_der_Maschine_-_gegenwartige_Definitionen_von_Autonomie_zwischen_philosophischem_Hintergrund_und_technologischer_Umsetzbarkeit_Redigierte_Version_der_Magisterarbeit_Karls&usg=AOvVaw06orrdJmFF2xbCCp_hL26q.

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Content

Vgl. auch: New automatic interpreter for complex UDC numbers. Unter: <https%3A%2F%2Fudcc.org%2Ffiles%2FAttilaPiros_EC_36-37_2014-2015.pdf&usg=AOvVaw3kc9CwDDCWP7aArpfjrs5b>

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Content

Pressestimmen So bringt Literatursuche Lust statt Frust. www.literaturmarkt.info Dieser Ratgeber demonstriert Schritt für Schritt, wie man die passende Literatur, z.B. für Seminar- und Hausarbeiten, findet und verarbeitet. www.lehrerbibliothek.de Schlüsselkompetenzen: Literatur recherchieren in Bibliotheken und Internet führt Studenten in die Geheimnisse der Uni-Bibliothek ein. Das Buch liefert zudem Informationen über Online-Kataloge, Datenbanken, die Elektronische Zeitschriftenbibliothek (EZB) und die gängigen Suchmaschinen. www.stellenboersen.de Nützliches und höchst informatives Lehrbuch zu der Schlüsselkompetenz Literaturrecherche. Universitätsbibliothek Freiburg Gutes Recherchieren will gelernt sein, zumal in der heutigen Zeit, da das Informationsangebot ungeahnte Ausmaße angenommen hat und sich viele davon überfordert fühlen. Da nicht alle Hochschulen entsprechende Kurse anbieten, ist es gut, einen kundigen Ratgeber wie diesen zur Hand zu haben. STUDIUM Der Ratgeber besticht durch seinen übersichtlichen Aufbau und eignet sich deshalb auch als Nachschlagewerk. Zahlreiche Beispielrecherchen, Checklisten und Tipps zur Literatursuche erleichtern die Umsetzung des Gelesenen. ph akzente Im Zentrum steht nicht nur die Recherche, sondern ein umfassender Begriff der Informationskompetenz. Germanistik Der preisgünstige Band verdient eine nachdrückliche Kaufempfehlung bei Studierenden (und Lehrenden). Informationsmittel (IFB) : digitales Rezensionsorgan für Bibliotheken und Wissenschaft.

LCSH

Information retrieval

RSWK

Information Retrieval / Bibliothek / Internet (BVB)
Information Retrieval / Internet / Bibliothek / Lehrbuch (BVB)
Online-Recherche / Literaturrecherche / Informationskompetenz / Lehrbuch (BVB)

Subject

Information Retrieval / Bibliothek / Internet (BVB)
Information Retrieval / Internet / Bibliothek / Lehrbuch (BVB)
Online-Recherche / Literaturrecherche / Informationskompetenz / Lehrbuch (BVB)
Information retrieval

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Content

Vgl. unter: https://www.leibniz-science20.de%2Fforschung%2Fprojekte%2Faltmetrics-in-verschiedenen-wissenschaftsdisziplinen%2F&ei=2jTgVaaXGcK4Udj1qdgB&usg=AFQjCNFOPdONj4RKBDf9YDJOLuz3lkGYlg&sig2=5YI3KWIGxBmk5_kv0P_8iQ.

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Abstract

We present a short survey of the literature on indexing and retrieval of mathematical knowledge, with pointers to 72 papers and tentative taxonomies of both retrieval problems and recurring techniques.

Date

22. 2.2017 12:51:57

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Content

Introduction: envisioning semantic information spacesIndexing and knowledge organization -- Semantic technologies for knowledge representation -- Information retrieval and knowledge exploration -- Approaches to handle heterogeneity -- Problems with establishing semantic interoperability -- Formalization in indexing languages -- Typification of semantic relations -- Inferences in retrieval processes -- Semantic interoperability and inferences -- Remaining research questions.

Date

23. 7.2017 13:49:22

LCSH

Information retrieval

RSWK

Information Retrieval

Subject

Information retrieval
Information Retrieval

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Abstract

This paper centres on the tools for the management of new digital documents, which are not only textual, but also visual-video, audio or multimedia in the full sense. Among the aims is to demonstrate that operating within the terms of generic Information Retrieval through textual language only is limiting, and it is instead necessary to consider ampler criteria, such as those of MultiMedia Information Retrieval, according to which, every type of digital document can be analyzed and searched by the proper elements of language for its proper nature. MMIR is presented as the organic complex of the systems of Text Retrieval, Visual Retrieval, Video Retrieval, and Audio Retrieval, each of which has an approach to information management that handles the concrete textual, visual, audio, or video content of the documents directly, here defined as content-based. In conclusion, the limits of this content-based objective access to documents is underlined. The discrepancy known as the semantic gap is that which occurs between semantic-interpretive access and content-based access. Finally, the integration of these conceptions is explained, gathering and composing the merits and the advantages of each of the approaches and of the systems to access to information.

Date

22. 1.2012 13:02:10

Footnote

Bezugnahme auf: Enser, P.G.B.: Visual image retrieval. In: Annual review of information science and technology. 42(2008), S.3-42.

Source

Knowledge organization. 39(2012) no.1, S.13-22

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Source

http://www.heise.de/newsticker/meldung/Tablet-statt-Lehrbuch-Wie-die-Digitalisierung-die-Unis-veraendert-3082845.html

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Footnote

Rez. in: iwp 62(2011) H.8, S.398-400 (A.R. Brellochs): " ... An der faktisch gegebenen Positionierung als Textbuch für Information Retrieval, einigen Themenfeldern der Informationsvermittlung und des Bibliothekswesens ist zwar grundsätzlich nichts auszusetzen. Leider führt aber die Vielzahl der behandelten Themen dazu, dass trotz des Umfangs von gut 500 Seiten manche für das IR wichtige Themen nur sehr knapp abgehandelt wurden. Diese thematische Überbreite macht den Band leider als generelle Einführung für Leser ohne fachlichen Hintergrund in Informations- oder Bibliothekswissenschaft ungeeignet, denn für diese ist ein großer Teil des Buches nicht ausreichend verständlich.
In die Irre führt den unbedarften Leser auf jeden Fall der im Titel postulierte Anspruch, eine Einführung in Information Retrieval zu leisten. Gegenüber dem Leser wäre es ehrlicher, den Titel des Buches entsprechend thematisch zu erweitern, oder aber sich tatsächlich auf das angegebene Gebiet zu konzentrieren. Eine solche Verschlankung um nicht eigentlich für das Verständnis der IR-Konzepte notwendige Materialien täte dem Titel sicher sehr gut und würde auch dessen weitere Verbreitung außerhalb des Informationswesens ermöglichen. Die für die aktuelle Auflage durchgeführte Aktualisierung und Erweiterung bleibt leider an verschiedenen Stellen etwas an der Oberfläche. Man muss deshalb konstatieren, dass die Stärke des Bandes eher in der thematischen Breite liegt, als darin, wirklich einen erschöpfenden Einblick in das Information Retrieval zu geben. Für eine grundlegende Einführung in IR lässt Chowdhury zwar inhaltlich nur wenig vermissen, doch die Kohärenz der Darstellung und die didaktische Aufbereitung des Stoffes sind auf jeden Fall ausbaufähig, um den Ansprüchen an ein Lehrbuch gerecht werden zu können, das auch im Selbststudium durchgearbeitet werden kann. Diese Schwäche ist allerdings auch der Informationswissenschaft selbst anzulasten, die (im Gegensatz etwa zur Informatik) bisher keine allgemein anerkannte Fachdidaktik hervor gebracht hat. Trotz der besprochenen Desiderate ist der Titel bereits jetzt eine empfehlenswerte Ergänzung zu Vorlesungen in den behandelten Gebieten, wenn man einen fachlichen Hintergrund in Bibliotheksoder Informationswissenschaft voraussetzt."

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Date

22. 7.2013 10:53:30

RSWK

Semantik / Semasiologie / Lehrbuch (BVB)

Subject

Semantik / Semasiologie / Lehrbuch (BVB)

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Date

1. 2.2016 18:25:22

Theme

Semantisches Umfeld in Indexierung u. Retrieval

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Date

1. 2.2016 18:25:22

Theme

Semantisches Umfeld in Indexierung u. Retrieval