-
Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009)
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- Abstract
- The employees of an organization often use a personal hierarchical classification scheme to organize digital documents that are stored on their own workstations. As this may make it hard for other employees to retrieve these documents, there is a risk that the organization will lose track of needed documentation. Furthermore, the inherent boundaries of such a hierarchical structure require making arbitrary decisions about which specific criteria the classification will b.e based on (for instance, the administrative activity or the document type, although a document can have several attributes and require classification in several classes).A faceted classification model to support corporate information organization is proposed. Partially based on Ranganathan's facets theory, this model aims not only to standardize the organization of digital documents, but also to simplify the management of a document throughout its life cycle for both individuals and organizations, while ensuring compliance to regulatory and policy requirements.
- 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.
-
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)
0.29
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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
-
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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- Abstract
- On a scientific concept hierarchy, a parent concept may have a few attributes, each of which has multiple values being a group of child concepts. We call these attributes facets: classification has a few facets such as application (e.g., face recognition), model (e.g., svm, knn), and metric (e.g., precision). In this work, we aim at building faceted concept hierarchies from scientific literature. Hierarchy construction methods heavily rely on hypernym detection, however, the faceted relations are parent-to-child links but the hypernym relation is a multi-hop, i.e., ancestor-to-descendent link with a specific facet "type-of". We use information extraction techniques to find synonyms, sibling concepts, and ancestor-descendent relations from a data science corpus. And we propose a hierarchy growth algorithm to infer the parent-child links from the three types of relationships. It resolves conflicts by maintaining the acyclic structure of a hierarchy.
- Content
- Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
-
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/.
-
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
-
Xiong, C.: Knowledge based text representations for information retrieval (2016)
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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.
-
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.
-
Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010)
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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.
- Imprint
- Trento : University / Department of information engineering and computer science
-
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_
- Theme
- Information
-
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
-
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.
-
Rosenfeld, L.; Morville, P.: Information architecture for the World Wide Web : designing large-scale Web sites (2007)
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- Abstract
- The scale of web site design has grown so that what was once comparable to decorating a room is now comparable to designing buildings or even cities. Designing sites so that people can find their way around is an ever-growing challenge as sites contain more and more information. In the past, Information Architecture for the World Wide Web has helped developers and designers establish consistent and usable structures for their sites and their information. This edition of the classic primer on web site design and navigation is updated with recent examples, new scenarios, and new information on best practices. Readers will learn how to present large volumes of information to visitors who need to find what they're looking for quickly. With topics that range from aesthetics to mechanics, this valuable book explains how to create interfaces that users can understand easily.
- Date
- 22. 3.2008 16:18:27
- LCSH
- Information storage and retrieval systems / Architecture
- RSWK
- Internet / Information / Strukturierung (BVB)
- Subject
- Internet / Information / Strukturierung (BVB)
Information storage and retrieval systems / Architecture
-
Rusch-Feja, D.: Structuring subject information sources in the Internet (1995)
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- Object
- CMC Information Sources
- 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
-
Koch, T.: Searching the Web : systematic overview over indexes (1995)
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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
-
Price, D.J.: Indexing the world : current developments in accessing distributed information (1995)
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- 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
-
Mair, M.: Increasing the value of meta data by using associative semantic networks (2002)
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- Abstract
- Momentan verbreitete Methoden zur Strukturierung von Information können ihre Aufgabe immer schlechter befriedigend erfüllen. Der Grund dafür ist das explosive Wachstum menschlichen Wissens. Diese Diplomarbeit schlägt als einen möglichen Ausweg die Verwendung assoziativer semantischer Netzwerke vor. Maschinelles Wissensmanagement kann wesentlich intuitiver und einfacher benutzbar werden, wenn man sich die Art und Weise zunutze macht, mit der das menschliche Gehirn Informationen verarbeitet (im Speziellen assoziative Verbindungen). Der theoretische Teil dieser Arbeit diskutiert verschiedene Aspekte eines möglichen Designs eines semantischen Netzwerks mit assoziativen Verbindungen. Außer den Grundelementen und Problemen der Visualisierung werden hauptsächlich Verbesserungen ausgearbeitet, welche ein leistungsstarkes Arbeiten mit einem solchen Netzwerk erlauben. Im praktischen Teil wird ein Netzwerk-Prototyp mit den wichtigsten herausgearbeiteten Merkmalen implementiert. Die Basis der Applikation bildet der Hyperwave Information Server. Dieser detailiiertere Design-Teil gewährt tieferen Einblick in Software Requirements, Use Cases und teilweise auch in Klassendetails. Am Ende wird eine kurze Einführung in die Benutzung des implementierten Prototypen gegeben.
- Date
- 17. 3.2006 19:24:29
-
Lande, D.; Braichevski, S.; Busch, D.: Informationsflüsse im Internet (2007)
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- Abstract
- Im Artikel geht es um Entwicklungstrends und Probleme, die mit dem schnellen Informationszuwachs im Internet verbunden sind. Es wird gezeigt, dass die Hauptschwierigkeiten nicht mit der Leistung von Software und der Hardware, sondern mit Besonderheiten des Sachgebietes zusammen hängen. Im Rahmen des Konzeptes der Informationsflüsse werden aktuelle Probleme des Information Retrieval, der Strukturierung des Informationsraums und dessen Verhältnis zum semantischen Raum behandelt. Der Artikel zeigt einige Lösungen dieser Probleme, die auf dem Textmining und fraktalen Modellen basieren.
- Source
- Information - Wissenschaft und Praxis. 58(2007) H.5, S.277-284
-
Rowley, J.E.; Hartley, R.: Organizing knowledge : an introduction to managing access to information (2008)
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- Abstract
- The fourth edition of this standard student text, "Organizing Knowledge", incorporates extensive revisions reflecting the increasing shift towards a networked and digital information environment, and its impact on documents, information, knowledge, users and managers.Offering a broad-based overview of the approaches and tools used in the structuring and dissemination of knowledge, it is written in an accessible style and well illustrated with figures and examples. The book has been structured into three parts and twelve chapters and has been thoroughly updated throughout.Part I discusses the nature, structuring and description of knowledge. Part II, with its five chapters, lies at the core of the book focusing as it does on access to information. Part III explores different types of knowledge organization systems and considers some of the management issues associated with such systems. Each chapter includes learning objectives, a chapter summary and a list of references for further reading.This is a key introductory text for undergraduate and postgraduate students of information management.
- Date
- 4. 2.2018 12:58:29
- Footnote
- Rez. in: VOEB-Mitt. 61(2008) H.4, S.164-167 (O. Oberhauser): " Dieses nunmehr in vierter Auflage vorliegende Werk ist - vor allem in der angelsächsischen Welt - bereits zu einem Standardlehrtext für Studenten informationswissenschaftlicher Studiengänge geworden. Es zeichnete sich stets durch klaren Aufbau, gute Lesbarkeit und eine bei aller Knappheit doch relativ umfassende Themenbehandlung aus. Der im Titel verwendete Begriff organizing knowledge steht hier ja nicht für mögliche engere Bedeutungen wie etwa Wissensrepräsentation oder gar Klassifikation, sondern für den gesamten Themenbereich information retrieval bzw. information management. Die beiden ersten Auflagen verfasste die versierte und produktive Lehrbuchautorin Jennifer Rowley noch alleine;1 erst bei der dritten Auflage (2000) stand ihr John Farrow (2002 verstorben) als Mitautor zur Seite.2 Inzwischen zur Professorin am Department of Information and Communications der Manchester Metropolitan University avanciert, konnte Rowley nunmehr für die neueste Auflage den ebenfalls als Lehrbuchautor erfahrenen Richard Hartley, Professor am selben Institut und überdies dessen Vorstand, als zweiten Verfasser gewinnen. Wie die Autoren in der Einleitung ausführen, wurde das Buch gegenüber der letzten Auflage stark verändert. Die Neuerungen spiegeln insbesondere die anhaltende Verschiebung hin zu einer vernetzten und digitalen Informationswelt wider, mit allen Konsequenzen dieser Entwicklung für Dokumente, Information, Wissen, Informationsdienste und Benutzer. Neue bzw. stark überarbeitete Themenbereiche sind u.a. Ontologien und Taxonomien, Informationsverhalten, digitale Bibliotheken, Semantisches Web, Evaluation von Informationssystemen, Authentifizierung und Sicherheit, Veränderungsmanagement. Der Text wurde revidiert und auch, was diverse Standards und Normen betrifft, auf den aktuellen Stand gebracht. Der in der dritten Auflage noch separate Abschnitt über das Internet und seine Anwendungen wurde zugunsten einer Integration dieser Themen in die einzelnen Kapitel aufgelassen. Das Buch wurde neu gegliedert - es weist jetzt zwölf Kapitel auf, die in drei grosse Abschnitte gruppiert sind. Jedes Kapitel beginnt mit einer kurzen Einleitung, in der die beabsichtigten Lehr- bzw. Lernziele vorgestellt werden. Am Kapitelende gibt es jeweils eine Zusammenfassung, einige (Prüfungs-)Fragen zum Stoff sowie eine nicht allzu lange Liste der zitierten bzw. zur Vertiefung empfohlenen Literatur. Diese durchgehende Strukturierung erleichtert die Lektüre und Rezeption der Inhalte und ist m.E. für einen Lehrtext besonders vorteilhaft.
- LCSH
- Information organization / English / speaking countries
- RSWK
- Information Retrieval / Einführung
Information Retrieval (BVB)
- Subject
- Information organization / English / speaking countries
Information Retrieval / Einführung
Information Retrieval (BVB)
