Fraunhofer-Institut für Angewandte Informationstechnik FIT

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  • Publication
    Big data
    ( 2014)
    Dhar, V.
    ;
    Jarke, M.
    ;
    Laartz, J.
  • Publication
    A clustering approach for collaborative filtering recommendation using social network analysis
    ( 2011)
    Pham, M.C.
    ;
    Cao, Y.
    ;
    Klamma, R.
    ;
    Jarke, M.
    Collaborative Filtering(CF) is a well-known technique in recommender systems. CF exploits relationships between users and recommends items to the active user according to the ratings of his/her neighbors. CF suffers from the data sparsity problem, where users only rate a small set of items. That makes the computation of similarity between users imprecise and consequently reduces the accuracy of CF algorithms. In this article, we propose a clustering approach based on the social information of users to derive the recommendations. We study the application of this approach in two application scenarios: academic venue recommendation based on collaboration information and trust-based recommendation. Using the data from DBLP digital library and Epinion, the evaluation shows that our clustering technique based CF performs better than traditional CF algorithms.
  • Publication
    Metamodelling with datalog and classes: ConceptBase at the age of 21
    ( 2010)
    Jarke, M.
    ;
    Jeusfeld, M.A.
    ;
    Nissen, H.W.
    ;
    Quix, C.
    ;
    Staudt, M.
    ConceptBase is a deductive object-oriented database system intended for the management of metadata. A distinguishing feature of the Telos language underlying ConceptBase is the ability to manage rules and constraints across multiple levels of instantiation in so-called meta formulas, thus offering uniform consistency management across heterogeneous notations or ontologies. Originally developed in the context of model-driven database design in the late 1980's, ConceptBase has been used in several thousand installations all over the world for numerous applications in areas such as requirements engineering, engineering information management, model management, eLearning, cultural information systems, and data warehousing. The internal representation is based on a quadruple object structure, combined with advanced Datalog engines, such that many optimization techniques in ConceptBase have pioneered ideas later pursued in the implementation of XML databases and ontology-based reasoning and data management engines.
  • Publication
    High impact requirements engineering. Editorial
    ( 2010)
    Jarke, M.
    ;
    Lyytinen, K.
  • Publication
    High impact requirements engineering
    ( 2010)
    Jarke, M.
    ;
    Lyytinen, K.
  • Publication
    The brave new world of design requirements - four key principles
    ( 2010)
    Jarke, M.
    ;
    Loucopoulos, P.
    ;
    Lyytinen, K.
    ;
    Mylopoulos, J.
    ;
    Robinson, W.
  • Publication
    Requirements engineering in complex domains
    ( 2010)
    Jarke, M.
    ;
    Klamma, R.
    ;
    Sikora, E.
  • Publication
    Perspectives in the interplay between business and information systems engineering and computer science
    ( 2009)
    Jarke, M.
    The relationship between business and information systems engineering (BISE) and its main reference disciplines business administration and informatics has changed several times during the last decades. Despite some frictions during the 1980s and 1990s, the interplay between informatics and BISE is becoming much more constructive and has proven extremely fruitful. Important examples for this co-evolution include data management and conceptual modeling, internet-based information and transaction systems, and the emergence of computational business sciences. The increasing integration of virtual and real world in the "Internet of Things" offers new scientific and organizational challenges for the cooperation between BISE and informatics, which can only be formulated and solved jointly.
  • Publication
    Generic schema mappings for composition and query answering
    ( 2009)
    Kensche, D.
    ;
    Quix, C.
    ;
    Li, X.
    ;
    Li, Y.
    ;
    Jarke, M.