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  1. Gordon, T.J.; Helmer-Hirschberg, O.: Report on a long-range forecasting study (1964) 0.07 
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    Abstract
    Description of an experimental trend-predicting exercise covering a time period as far as 50 years into the future. The Delphi technique is used in soliciting the opinions of experts in six areas: scientific breakthroughs, population growth, automation, space progress, probability and prevention of war, and future weapon systems. Possible objections to the approach are also discussed.
    Date
    22. 6.2018 13:24:08
    22. 6.2018 13:54:52
  2. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.05 
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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.
  3. Roth, A.: Modellierung und Anwendung von Ontologien am Beispiel "Operations Research & Management Science" (2002) 0.05 
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    Abstract
    In der Praxis werden häufig verteilte Informationssysteme eingesetzt, die eine semantische Heterogenität aufweisen. Diese besteht in erster Linie darin, dass unabhängig entwickelte Systeme mit verschiedenen statischen Datenmodellen (Schemata) operieren, die auch bei teilweiser inhaltlicher Übereinstimmung miteinander gar nicht oder nur mit einem erheblichen manuellen Aufwand kombiniert werden können. Eine solche Datenkopplung von n Informationssystemen würde ein Schnittstellensystem der Größe n(n-1) bedeuten, welches verwaltet werden müsste. Das größte Problem bei verteilten Informationssystemen ist die Heterogenität, bedingt durch inkompatible Kommunikationsprotokolle, Abfragesprachen, interne Repräsentation usw. Obwohl die Interoperabilität zwischen Systemen u.a. durch Standardschnittstellen (z.B. JDBC) und systemneutralen Austauschformaten (z.B. XML) verbessert werden kann, bleibt das schwierige Problem der semantischen Homogenität zu lösen. In dieser Seminararbeit soll ein solches Modell für die Domäne "Operations Research & Management Science" konzipiert und in einem prototypischen Systemumfeld angewendet werden. Als konzeptionelle Grundlage zur Datenmodellierung dient dabei das Resource Description Framework (RDF). Das Datenmodell wird XML-basiert realisiert und in einer speziellen Datenbank nach dem Netzwerkmodell gehalten. Dadurch, dass die in XML semantisch ausgezeichneten Wissensobjekte maschinell verarbeitet werden können, können aus diesem Netzwerk alle benötigten Informationen extrahiert und für eine detaillierte Recherche aufbereitet werden. Die Seminararbeit beschreibt die grundlegende Konzeptionierung und die Erfahrungen mit der eingesetzten Technologie, die bei der prototypischen Umsetzung gesammelt wurden.
    Pages
    II, 26 S
  4. Mattmann, B.: ¬Die Möglichkeiten von RDA bei der Erschliessung historischer Sondermaterialien : Analyse der Beschreibungs- und Erschließungsmöglicjkeiten von Resource Description and Access für die historischen Sondermaterialien Brief und Fotografie (2014) 0.05 
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  5. Verwer, K.: Freiheit und Verantwortung bei Hans Jonas (2011) 0.04 
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    Content
    Vgl.: http%3A%2F%2Fcreativechoice.org%2Fdoc%2FHansJonas.pdf&usg=AOvVaw1TM3teaYKgABL5H9yoIifA&opi=89978449.
  6. Hannech, A.: Système de recherche d'information étendue basé sur une projection multi-espaces (2018) 0.03 
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    Abstract
    Dans d'autres cas, le profil de l'utilisateur peut être mal exploité pour extraire ou inférer ses nouveaux besoins en information. Ce problème est beaucoup plus accentué avec les requêtes ambigües. Lorsque plusieurs centres d'intérêt auxquels est liée une requête ambiguë sont identifiés dans le profil de l'utilisateur, le système se voit incapable de sélectionner les données pertinentes depuis ce profil pour répondre à la requête. Ceci a un impact direct sur la qualité des résultats fournis à cet utilisateur. Afin de remédier à quelques-unes de ces limitations, nous nous sommes intéressés dans ce cadre de cette thèse de recherche au développement de techniques destinées principalement à l'amélioration de la pertinence des résultats des SRIs actuels et à faciliter l'exploration de grandes collections de documents. Pour ce faire, nous proposons une solution basée sur un nouveau concept d'indexation et de recherche d'information appelé la projection multi-espaces. Cette proposition repose sur l'exploitation de différentes catégories d'information sémantiques et sociales qui permettent d'enrichir l'univers de représentation des documents et des requêtes de recherche en plusieurs dimensions d'interprétations. L'originalité de cette représentation est de pouvoir distinguer entre les différentes interprétations utilisées pour la description et la recherche des documents. Ceci donne une meilleure visibilité sur les résultats retournés et aide à apporter une meilleure flexibilité de recherche et d'exploration, en donnant à l'utilisateur la possibilité de naviguer une ou plusieurs vues de données qui l'intéressent le plus. En outre, les univers multidimensionnels de représentation proposés pour la description des documents et l'interprétation des requêtes de recherche aident à améliorer la pertinence des résultats de l'utilisateur en offrant une diversité de recherche/exploration qui aide à répondre à ses différents besoins et à ceux des autres différents utilisateurs. Cette étude exploite différents aspects liés à la recherche personnalisée et vise à résoudre les problèmes engendrés par l'évolution des besoins en information de l'utilisateur. Ainsi, lorsque le profil de cet utilisateur est utilisé par notre système, une technique est proposée et employée pour identifier les intérêts les plus représentatifs de ses besoins actuels dans son profil. Cette technique se base sur la combinaison de trois facteurs influents, notamment le facteur contextuel, fréquentiel et temporel des données. La capacité des utilisateurs à interagir, à échanger des idées et d'opinions, et à former des réseaux sociaux sur le Web, a amené les systèmes à s'intéresser aux types d'interactions de ces utilisateurs, au niveau d'interaction entre eux ainsi qu'à leurs rôles sociaux dans le système. Ces informations sociales sont abordées et intégrées dans ce travail de recherche. L'impact et la manière de leur intégration dans le processus de RI sont étudiés pour améliorer la pertinence des résultats.
    Since its appearance in the early 90's, the World Wide Web (WWW or Web) has provided universal access to knowledge and the world of information has been primarily witness to a great revolution (the digital revolution). It quickly became very popular, making it the largest and most comprehensive database and knowledge base thanks to the amount and diversity of data it contains. However, the considerable increase and evolution of these data raises important problems for users, in particular for accessing the documents most relevant to their search queries. In order to cope with this exponential explosion of data volume and facilitate their access by users, various models are offered by information retrieval systems (IRS) for the representation and retrieval of web documents. Traditional SRIs use simple keywords that are not semantically linked to index and retrieve these documents. This creates limitations in terms of the relevance and ease of exploration of results. To overcome these limitations, existing techniques enrich documents by integrating external keywords from different sources. However, these systems still suffer from limitations that are related to the exploitation techniques of these sources of enrichment. When the different sources are used so that they cannot be distinguished by the system, this limits the flexibility of the exploration models that can be applied to the results returned by this system. Users then feel lost to these results, and find themselves forced to filter them manually to select the relevant information. If they want to go further, they must reformulate and target their search queries even more until they reach the documents that best meet their expectations. In this way, even if the systems manage to find more relevant results, their presentation remains problematic. In order to target research to more user-specific information needs and improve the relevance and exploration of its research findings, advanced SRIs adopt different data personalization techniques that assume that current research of user is directly related to his profile and / or previous browsing / search experiences.
    However, this assumption does not hold in all cases, the needs of the user evolve over time and can move away from his previous interests stored in his profile. In other cases, the user's profile may be misused to extract or infer new information needs. This problem is much more accentuated with ambiguous queries. When multiple POIs linked to a search query are identified in the user's profile, the system is unable to select the relevant data from that profile to respond to that request. This has a direct impact on the quality of the results provided to this user. In order to overcome some of these limitations, in this research thesis, we have been interested in the development of techniques aimed mainly at improving the relevance of the results of current SRIs and facilitating the exploration of major collections of documents. To do this, we propose a solution based on a new concept and model of indexing and information retrieval called multi-spaces projection. This proposal is based on the exploitation of different categories of semantic and social information that enrich the universe of document representation and search queries in several dimensions of interpretations. The originality of this representation is to be able to distinguish between the different interpretations used for the description and the search for documents. This gives a better visibility on the results returned and helps to provide a greater flexibility of search and exploration, giving the user the ability to navigate one or more views of data that interest him the most. In addition, the proposed multidimensional representation universes for document description and search query interpretation help to improve the relevance of the user's results by providing a diversity of research / exploration that helps meet his diverse needs and those of other different users. This study exploits different aspects that are related to the personalized search and aims to solve the problems caused by the evolution of the information needs of the user. Thus, when the profile of this user is used by our system, a technique is proposed and used to identify the interests most representative of his current needs in his profile. This technique is based on the combination of three influential factors, including the contextual, frequency and temporal factor of the data. The ability of users to interact, exchange ideas and opinions, and form social networks on the Web, has led systems to focus on the types of interactions these users have at the level of interaction between them as well as their social roles in the system. This social information is discussed and integrated into this research work. The impact and how they are integrated into the IR process are studied to improve the relevance of the results.
  7. Eppendahl, F.: Entwurf eines Konzepts für die elektronische Dokumentenverwaltung von Verträgen (1989) 0.03 
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    Date
    9.12.1995 17:26:17
  8. Herr, K.: Entwicklung eines Thesaurus Medienpädagogik (1989) 0.03 
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    Date
    9.12.1995 17:26:17
  9. Maag, D.: Leistungsmerkmale von Volltextretrievalsystemen : Anforderungen an die künftige Weiterentwicklung (1989) 0.03 
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    9.12.1995 17:26:17
  10. Ritzler, C.: Vergleichende Untersuchung von PC-Thesaurusprogrammen (1989) 0.03 
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    Date
    9.12.1995 17:26:17
  11. Buick, S.: Beschreibung, Standardisierung und Erschließung von Information aus Pressespiegeln am Beispiel von ARD und ZDF (1990) 0.03 
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    9.12.1995 17:26:17
  12. Felger, H.: Modellierung einer Datenstruktur für die Hörfunk-Wort-Datenbank des Hessischen Rundfunks (1990) 0.03 
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  13. Jockel, S.: Entwicklung eines Kalkulationsmodells für Informationsdienstleistungen (1990) 0.03 
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    9.12.1995 17:26:17
  14. Schmidt, O.M.: Aufbereitung und Weiterverarbeitung downgeloadeter Datenbank-Recherchen mit der Volltextdatenbank BASIS (1990) 0.03 
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  15. Friedrich, N.: Strukturierungskonzepte für Hypertext (1991) 0.03 
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  16. Krämer, S.: Wissensrepräsentation mit KNOSSOS : Konzeption und Implementierung eines umfassenden Lehr- und Übungsbeispiels (1991) 0.03 
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  17. Paul, M.: Methoden zur Erstellung von Informationsdienstleistungen eines privatwirtschaftlichen Informationsbetriebes anhand konkreter Konkurrenzanalysen und Standarddienste (1991) 0.03 
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  18. Ruhland, B.: Entwurf und Implementierung eines Relationalen Information-Retrieval-Systems über Datenbank-Management-Systeme (1991) 0.03 
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  19. Schöll, B.: Datenbank-Entwurf für die Broschüren- und Plakatsammlung im Historischen Archiv des Hessischen Rundfunks (1991) 0.03 
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  20. Zechner, A.: Informationsbeschaffung und -verwaltung in lokalen und regionalen Rundfunkanstalten (1993) 0.03 
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