Now showing items 170-189 of 1965

    • CAKES: Cross-lingual wikipedia knowledge enrichment and summarization 

      Fionda V; Pirró G (IOS Press, 2012)
      Wikipedia is a huge source of multilingual knowledge curated by human contributors. Wiki articles are independently written in the various languages and may cover different perspectives about a given subject. The aim of ...
    • Can Opinion Mining Techniques Help to Select Open Source Software? 

      Taibi D (2016)
      People and organizations that are considering the adoption of Open-Source Software (OSS), or that need to choose among different OSS products are interested in knowing the user community’s opinion, since this can provide ...
    • Capturing model-based ontology evolution at the instance level: The case of DL-Lite 

      Kharlamov E; Zheleznyakov D; Calvanese D (2013)
      Evolution of Knowledge Bases (KBs) expressed in Description Logics (DLs) has gained a lot of attention lately. Recent studies on the topic have mostly focused on so-called model-based approaches (MBAs), where the evolution ...
    • Carnap, Goguen, and the Hyperontologies: Logical Pluralism and Heterogeneous Structuring in Ontology Design 

      Kutz O; Mossakowski T; Lücke D (2010)
      This paper addresses questions of universality related to ontological engineering, namely aims at substantiating (negative) answers to the following three basic questions: (i) Is there a 'universal ontology'?, (ii) Is there ...
    • A Case for Abductive Reasoning over Ontologies 

      Elsenbroich C; Kutz O; Sattler U (CEUR, 2006)
      We argue for the usefulness of abductive reasoning in the context of ontologies. We discuss several applicaton scenarios in which various forms of abduction would be useful, introduce corresponding abductive reasoning ...
    • The case for cloud service trustmarks and assurance-as-a-service 

      Lynn T; Healy P; McClatchey R; Morrison J; Pahl C; Lee B (SciTePress, 2013)
      Cloud computing represents a significant economic opportunity for Europe. However, this growth is threatened by adoption barriers largely related to trust. This position paper examines trust and confidence issues in cloud ...
    • A categorical approach to ontology alignment 

      Codescu M; Mossakowski T; Kutz O (, 2014)
      Ontology matching and alignment is a key mechanism for linking the diverse datasets and ontologies arising in the Semantic Web. We show that category theory provides the powerful abstractions needed for a uniform treatment ...
    • Certain Answers in a Rough World 

      Peñaloza R; Thost V; Turhan A (CEUR, 2014)
    • A Certification Technique for Cloud Security Adaptation 

      Ardagna CA; Asal R; Damiani E; El Ioini N; Pahl C; Dimitrakos T (IEEE, 2016)
      Unpredictability of cloud computing due to segregation of visibility and control between applications, data owners, and cloud providers increases tenants’ uncertainty when using cloud services. Adaptation techniques become ...
    • Certification-Based Cloud Adaptation 

      Ardagna CA; Asal R; Damiani E; Dimitrakos T; El Ioini N; Pahl C (2018)
      Performance and dependability levels of cloud-based computations are difficult to guarantee by-design due to segregation of visibility and control between applications, data owners, and cloud providers. Lack of predictability ...
    • CEUR Workshop Proceedings: Preface 

      Tkalčič M; De Carolis B; De Gemmis M; Košir A (CEUR-WS, 2016)
    • Challenge: Processing web texts for classifying job offers 

      Amato F; Boselli R; Cesarini M; Mercorio F; Mezzanzanica M; Moscato V; Persia F; Picariello A (IEEE, 2015)
      Today the Web represents a rich source of labour market data for both public and private operators, as a growing number of job offers are advertised through Web portals and services. In this paper we apply and compare ...
    • Challenges in Quality of Temporal Data - Starting with Gold Standards 

      Gennari R; Tonelli S; Vittorini P (Association for Computing Machinery (ACM), 2015)
    • Change and evolution in web-based learning technology systems 

      Pahl C (AACE, 2011)
      With the inception of the Web now being more than 20 years ago, many Web-based learning technology systems (LTS) have had a long life and have undergone many changes, both affect content and infrastructure technologies. ...
    • Change support to maintain quality in learning technology systems 

      Pahl C (Springer, 2017)
      The quality of learning technology systems can degrade over time due to changes in learners, content and the software environment. This might occur as long-term evolution of the system to adjust the system to environmental ...
    • A Change-based Approach to Software Evolution 

      Robbes R; Lanza M (2007)
      Software evolution research is limited by the amount of information available to researchers: Current version control tools do not store all the information generated by developers. They do not record every intermediate ...
    • Changes as first-class citizens: A research perspective on modern software tooling 

      Soetens Q; Robbes R; Demeyer S (Association for Computing Machinery, 2017)
      Software must evolve to keep up with an ever-changing context, the real world. We discuss an emergent trend in software evolution research revolving around the central notion that drives evolution: Change. By reifying ...
    • Characterization of consultant activities in ERP projects: A case study 

      Lutteri E; Russo B (SciTePress, 2011)
      Enterprise Resource Planning (ERP) systems are very common worldwide, but their implementation and upgrade projects are expensive, complex and often unsuccessful. A great role in their implementation is played by the ...
    • A Chat-Based Group Recommender System for Tourism 

      Nguyen TN; Ricci F (Springer Verlag, 2017)
      Group recommender systems aim at supporting a group of users in making decisions when considering a set of alternatives. State of the art solutions aggregate individual preferences acquired before the actual decision making ...
    • A chat-based group recommender system for tourism 

      Nguyen TN; Ricci F (2018)
      Group recommender systems are information filtering and decision support applications that are aimed at aiding a group of users in making decisions when they are considering a set of alternatives. State of the art solutions ...