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Künstliche Intelligenz 30(2) - Juni 2016

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  • Zeitschriftenartikel
    Applying Linked Data Technologies in the Social Sciences
    (KI - Künstliche Intelligenz: Vol. 30, No. 2, 2016) Zapilko, Benjamin; Schaible, Johann; Wandhöfer, Timo; Mutschke, Peter
    In recent years, Linked Open Data (LOD) has matured and gained acceptance across various communities and domains. Large potential of Linked Data technologies is seen for an application in scientific disciplines. In this article, we present use cases and applications for an application of Linked Data in the social sciences. They focus on (a) interlinking domain-specific information, and (b) linking social science data to external LOD sources (e.g. authority data) from other domains. However, several technical and research challenges arise, when applying Linked Data technologies to a scientific domain with its specific data, information needs and use cases. We discuss these challenges and show how they can be addressed.
  • Zeitschriftenartikel
    (KI - Künstliche Intelligenz: Vol. 30, No. 2, 2016)
  • Zeitschriftenartikel
    A System for Probabilistic Linking of Thesauri and Classification Systems
    (KI - Künstliche Intelligenz: Vol. 30, No. 2, 2016) Posch, Lisa; Schaer, Philipp; Bleier, Arnim; Strohmaier, Markus
    This paper presents a system which creates and visualizes probabilistic semantic links between concepts in a thesaurus and classes in a classification system. For creating the links, we build on the Polylingual Labeled Topic Model (PLL-TM) (Posch et al., in KI 2015: advances in artificial intelligence, 2015). PLL-TM identifies probable thesaurus descriptors for each class in the classification system by using information from the natural language text of documents, their assigned thesaurus descriptors and their designated classes. The links are then presented to users of the system in an interactive visualization, providing them with an automatically generated overview of the relations between the thesaurus and the classification system.
  • Zeitschriftenartikel
    14th International Semantic Web Conference 2015 Bethlehem, PA, USA; October 11–15
    (KI - Künstliche Intelligenz: Vol. 30, No. 2, 2016) Paulheim, Heiko
  • Zeitschriftenartikel
    Special Issue on Semantic Web
    (KI - Künstliche Intelligenz: Vol. 30, No. 2, 2016) Glimm, Birte; Stuckenschmidt, Heiner
  • Zeitschriftenartikel
    Ontology-Based Multiple Choice Question Generation
    (KI - Künstliche Intelligenz: Vol. 30, No. 2, 2016) Alsubait, Tahani; Parsia, Bijan; Sattler, Ulrike
    Multiple choice questions (MCQs) are considered highly useful (being easy to take or mark) but quite difficult to create and large numbers are needed to form valid exams and associated practice materials. The idea of re-using an existing ontology to generate MCQs almost suggests itself and has been explored in various projects. In this project, we are applying suitable educational theory regarding assessments and related methods for their evaluation to ontology-based MCQ generation. In particular, we investigate whether we can measure the similarity of the concepts in an ontology with sufficient reliability so that this measure can be used to control the difficulty of the MCQs generated. In this report, we provide an overview of the background to this research, and describe the main steps taken and insights gained.
  • Zeitschriftenartikel
    LOD for Library Science: Benefits of Applying Linked Open Data in the Digital Library Setting
    (KI - Künstliche Intelligenz: Vol. 30, No. 2, 2016) Latif, Atif; Scherp, Ansgar; Tochtermann, Klaus
    Linked Open Data (LOD) has gained widespread adoption by large industries as well as non-profit organizations and governmental organizations. One of the early adopters of LOD technologies are libraries. Since the “early years”, libraries have been key use case and innovation driver for LOD and significantly contributed to the adoption of semantic technologies. The first part of this paper presents selected success stories of current activities in the Linked Data Library community. In a nutshell, these studies include (1) a conceptualization of the Linked Data Value chain, (2) a case study for consumption of Linked Data in a digital journal environment, and (3) an approach to publish metadata on the Semantic Web from an Open Access repository. These stories reveal a strong relationship between LOD in libraries and research topics addressed in traditional fields of computer science such as artificial intelligence, databases, and knowledge discovery. Thus, in the second part of this paper we systematically review the relation of LOD in digital libraries from a computer science perspective. We discuss current LOD research topics such as data integration and schema integration, distributed data management, and others. These challenges have been discussed with computer scientists at a German national database meetup as well as with librarians from ZBW—Leibniz Information Center for Economics and at international librarians meetup.
  • Zeitschriftenartikel
    Semantic Web Reloaded: An Update on the Progress of Semantic Web technologies
    (KI - Künstliche Intelligenz: Vol. 30, No. 2, 2016) Visser, Ubbo
  • Zeitschriftenartikel
    Abductive Conjunctive Query Answering w.r.t. Ontologies
    (KI - Künstliche Intelligenz: Vol. 30, No. 2, 2016) Möller, Ralf; Özçep, Özgür; Haarslev, Volker; Nafissi, Anahita; Wessel, Michael
    In this article we investigate abductive conjunctive query answering w.r.t. ontologies and show how use cases can benefit from this kind of query answering service. While practical reasoning systems such as Racer have supported abductive conjunctive query answering for 10 years now, and many projects have exploited this feature, few publications deal with A-box abduction from an implementation perspective. This article gives a generalized overview on features provided by practical systems and also explains optimization techniques needed to meet practical requirements.
  • Zeitschriftenartikel