Fraunhofer Institut für Integrierte Publikations-und Informationssysteme IPSI

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  • Publication
    Understanding and tailoring your scientific information environment: A context-oriented view on e-science support
    ( 2005)
    Niederée, C.
    ;
    Stewart, A.
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    Muscogiuri, C.
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    Hemmje, M.
    ;
    Risse, T.
  • Publication
    Ontologically-enriched unified user modeling for cross-system personalization
    ( 2005)
    Mehta, B.
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    Niederée, C.
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    Stewart, A.
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    Degemmis, M.
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    Lops, P.
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    Semeraro, G.
    Personalization today has wide spread use on many Web sites. Systems and applications store preferences and information about users in order to provide personalized access. However, these systems store user profiles in proprietary formats. Although some of these systems store similar information about the user., exchange or reuse of information is not possible and information is duplicated. Additionally, since user profiles tend to be deeply buried inside such systems, users have little control over them. This paper proposes the use of a common ontology-based user context model as a basis for the exchange of user profiles between multiple systems and, thus, as a foundation for cross-system personalization.
  • Publication
    Exploiting lexical knowledge in learning user profiles for intelligent information access to digital collections
    ( 2005)
    Semeraro, G.
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    Lops, P.
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    Degemmis, M.
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    Niederée, C.
    ;
    Stewart, A.
    Algorithms designed to support users in retrieving relevant information base their relevance computations on user profiles, in which representations of the users interests are maintained. This paper focuses on the use of supervised machine learning techniques to induce user profiles for Intelligent Information Access. The access must be personalized by profiles allowing users to retrieve information on the basis of conceptual content. To address this issue, we propose a method to learn sense-based user profiles based on WordNet, a lexical database.
  • Publication
    The role of context for information mediation in digital libraries
    ( 2004)
    Neuhold, E.J.
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    Niederée, C.
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    Stewart, A.
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    Frommholz, I.
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    Mehta, B.
    Mediating between available information objects and individual information needs is a central issue within the functionality of a digital library. In the simplest case this is an information request answered by a search engine based on an analysis of information objects within the digital library's information collection. However, neither the information access activity nor the information objects within the collection are isolated entities. They are both equipped with a multifaceted context. The invited talk, which is summarized by this paper, analyzes this context and discusses complementing approaches to make such context explicit and to use it for refining the mediation process within digital libraries.
  • Publication
    Extending your neighborhood-relationship-based recommendations using your personal web context
    ( 2004)
    Stewart, A.
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    Niederée, C.
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    Mehta, B.
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    Hemmje, M.
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    Neuhold, E.
    The people, documents, and other entities from a domain persons know, or are in other ways associated with, influence their decision making and the types of recommendations that serve them best. For example, recommending persons to meet in a conference or a paper to read from a digital library collection does not only depend on the task, interests, and skills of a user, but also on the persons and works they are already familiar with. In order for personalization services to reflect this dependency, extended user models that consider users' network of related domain entities in addition to other user characteristics, are required. Based on a unified context model, we present the Personal Web Context approach that models the typed relationships a user is involved in. Based on a Resource Network which can, for example, be built from the information collection and the associated meta data managed by a digital library, domain-specific rules are used to suggest valuable extensions of this "neighborhood" of a user. Such work can form the basis for new types of digital library services.
  • Publication
    Context-driven access to personalized digital multimedia libraries
    ( 2004)
    Neuhold, E.
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    Niederée, C.
    ;
    Stewart, A.
  • Publication
    Personalization in digital libraries?
    ( 2003)
    Neuhold, E.
    ;
    Niederée, C.
    ;
    Stewart, A.
    Although digital libraries are tailored to the information needs of a specific community, they are large and broad enough in scope to create individual information overload. Digital library personalization reduces the gap between the content offered by the library and individual information needs. Based on an extended view on personalization in digital libraries, this paper discusses various personalization methods for digital libraries. The advantages and challenges of founding personalization on a better understanding of the library user is illustrated by three advanced personalization approaches: Personal Reference Libraries, Collaborative Content Annotation, and modeling and exploitation of Personal Web Context. Each of these approaches focuses on another individual aspect in the interaction between the library and its user. In addition, we also take a closer look at the limitations and challenges of personalization in digital library.