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  <title>DSpace Community:</title>
  <link rel="alternate" href="http://hdl.handle.net/10506/492" />
  <subtitle />
  <id>http://hdl.handle.net/10506/492</id>
  <updated>2025-12-26T00:23:15Z</updated>
  <dc:date>2025-12-26T00:23:15Z</dc:date>
  <entry>
    <title>An Ontology-Based Model for Driving the Building of Software Product Lines in an ITS Context</title>
    <link rel="alternate" href="http://hdl.handle.net/10506/700" />
    <author>
      <name>da Silva, Alan Pedro</name>
    </author>
    <author>
      <name>Bittencourt, Ig Ibert</name>
    </author>
    <author>
      <name>Ataíde, Walker</name>
    </author>
    <author>
      <name>Holanda, Olavo</name>
    </author>
    <author>
      <name>Costa, Evandro</name>
    </author>
    <author>
      <name>Tenório, Thyago</name>
    </author>
    <author>
      <name>Brito, Patrick H. S.</name>
    </author>
    <id>http://hdl.handle.net/10506/700</id>
    <updated>2011-10-24T21:17:01Z</updated>
    <published>2011-01-01T00:00:00Z</published>
    <summary type="text">Title: An Ontology-Based Model for Driving the Building of Software Product Lines in an ITS Context
Authors: da Silva, Alan Pedro; Bittencourt, Ig Ibert; Ataíde, Walker; Holanda, Olavo; Costa, Evandro; Tenório, Thyago; Brito, Patrick H. S.
Abstract: The Intelligent Tutoring Systems (ITS) have been used daily to support education in several domains. For this reason, the fast and easy construction of such ITS are fundamental requirements. In this sense, Software Product Line has been used accordingly for building Intelligent Tutoring System Families. However, the construction of such family systems is still a hard and complex task which involves the representation and manipulation of different knowledge sources with distinct artifacts. To alleviate these issues, this paper proposes an ontology-based model for driving the building of software product lines in an ITS Context. In order to evaluate the proposed model, a case study is provided describing the construction of an ITS in the programming domain. In addition, an evaluation was done aiming to show the feasability of the proposed model. The main conclusion is that this model reduces the effort and the complexity in the construction of such systems.</summary>
    <dc:date>2011-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Integrating Internet Protocol Television and Social Networking</title>
    <link rel="alternate" href="http://hdl.handle.net/10506/701" />
    <author>
      <name>Afshana Syed Hussain, Hussain</name>
    </author>
    <author>
      <name>Vassileva, Julita</name>
    </author>
    <id>http://hdl.handle.net/10506/701</id>
    <updated>2011-10-24T21:17:01Z</updated>
    <published>2011-01-01T00:00:00Z</published>
    <summary type="text">Title: Integrating Internet Protocol Television and Social Networking
Authors: Afshana Syed Hussain, Hussain; Vassileva, Julita
Abstract: We know that the elderly comprise the highest proportion of television viewers. In the past we have witnessed elderly people struggling with the new technologies and outright rejecting technologies as a result of its complexity. We propose a system to help people keep up with new technologies, such as IPTV and social networks with reduced efforts. We specifically propose a system to integrate IPTV to social networking website with an aid of mobile phone. This system uses speech to text technology as input to reduce the difficulty involved in interaction while viewing television. As speech is more convenient and natural way of expression than text, we anticipate that people in other age groups can also benefit from the system.</summary>
    <dc:date>2011-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>A Model for Fuzzy Logic Assessment of Real Estate Investment Risks</title>
    <link rel="alternate" href="http://hdl.handle.net/10506/703" />
    <author>
      <name>Zlateva, Plamena</name>
    </author>
    <author>
      <name>Velev, Dimiter</name>
    </author>
    <author>
      <name>Zabunov, George</name>
    </author>
    <id>http://hdl.handle.net/10506/703</id>
    <updated>2011-10-24T21:17:01Z</updated>
    <published>2011-01-01T00:00:00Z</published>
    <summary type="text">Title: A Model for Fuzzy Logic Assessment of Real Estate Investment Risks
Authors: Zlateva, Plamena; Velev, Dimiter; Zabunov, George
Abstract: Assessing the real estate investment risks is a major issue for the responsible management and the sustainable regional development. The paper proposes a fuzzy logic model for complex estimation of the real estate investment risks, based on the available information sources and the expert knowledge. The fuzzy logic model is designed as a hierarchical system that includes several variables. This model is intended to be implemented as a Web service in a cloud computing environment as a next natural step for increasing the span and efficiency of real estate manager activities</summary>
    <dc:date>2011-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Using a Fuzzy Emotion Model in Computer Assisted Speech Therapy</title>
    <link rel="alternate" href="http://hdl.handle.net/10506/702" />
    <author>
      <name>Schipor, Ovidiu Andrei</name>
    </author>
    <author>
      <name>Pentiuc, Stefan Gheorghe</name>
    </author>
    <author>
      <name>Schipor, Maria Doina</name>
    </author>
    <id>http://hdl.handle.net/10506/702</id>
    <updated>2011-10-24T21:17:01Z</updated>
    <published>2011-01-01T00:00:00Z</published>
    <summary type="text">Title: Using a Fuzzy Emotion Model in Computer Assisted Speech Therapy
Authors: Schipor, Ovidiu Andrei; Pentiuc, Stefan Gheorghe; Schipor, Maria Doina
Abstract: Affective computing – machine’s ability to recognize and simulate human affects – has become a main research field for Human Computer Interaction. This paper deal with emotion recognition within a CBST (Computer Based Speech Therapy System) for preschoolers and young schoolchildren. Identifying the emotions of children with speech disorders during the assisted therapy sessions requires an adaptation of classical recognition techniques. That is why, in our article we focus on finding and testing the best emotion representation model to be used in this narrow field.  An experiment that validates our proposed approach and indicates the probabilistic coefficient matrix is also presented. The proposed emotion recognition framework can be seen as a future extension of our CBST – Logomon.</summary>
    <dc:date>2011-01-01T00:00:00Z</dc:date>
  </entry>
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