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- item-1 hasContent katerina-avramides.
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- 3 creator cuong-pham-nguyen.
- 3 creator issam-rebai.
- 3 creator jean-marie-gilliot.
- 3 creator serge-garlatti.
- 3 type InProceedings.
- 3 label "A Mobile Learning Scenario improvement for HST Inquiry Based learning".
- 3 sameAs 3.
- 3 abstract "We investigate how the three technologies, social media, mobile / pervasive learning and semantic web, may enhance Inquiry-Based Science Teaching (IBST) approaches and digital literacy. IBST may be defined by engaging students in: i) authentic and problem-based activities, ii) experimental procedures, iii) self regulated learning sequences, iv) discursive argumentation and communication with peers. We analyze the benefits of each technology and their combination. From an existing IBST learning scenario, we propose an innovative one based on the convergence of the three following technologies: social media, mobile / pervasive learning and semantic web.".
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- 3 keyword "Inquiry based learning".
- 3 keyword "Mobile learning".
- 3 keyword "learning scenario".
- 3 title "A Mobile Learning Scenario improvement for HST Inquiry Based learning".
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- item-1 hasContent jean-marie-gilliot.
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- 428 creator emanuele-della-valle.
- 428 creator francesco-corcoglioniti.
- 428 creator irene-celino.
- 428 type InProceedings.
- 428 label "Towards a Semantic Contact Management".
- 428 sameAs 428.
- 428 abstract "Many organizations face every day the problem of effectively managing their contacts (customers, suppliers, partners, etc.), in terms of communication, clustering, networking, analysis, and so on. Our company decided to cope with this issue by gathering the requirements for Contact Management and by designing and developing a prototype, called GeCo, to fit Cefriel needs. During the development of this application, which ran in parallel with some research projects dealing with Semantic Web technologies, we recognized that the addition of some "semantics", both in the data modeling and in the tool design, would help a lot in solving the open issues for the general problem of Contact Management. In this paper we summarize the main criticalities in managing contacts and we suggest how Semantic Web technologies can contribute to their successful solution.".
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- item-1 hasContent irene-celino.
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- item-3 hasContent emanuele-della-valle.
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- 463 creator natenapa-sriharee.
- 463 creator ravikarn-punnarut.
- 463 type InProceedings.
- 463 label "Constructing Semantic Campus for Academic Collaboration".
- 463 sameAs 463.
- 463 abstract "This paper proposes a methodology for constructing Semantic Campus, a Semantic Web application that represents the social network of the academics in the university, King Mongkut’s Institute of Technology North Bangkok. Semantic Campus is constructed by extracting data that is available on the web site of the university. The extracted data is analyzed with respect to its association to terms defined in an ontology and associations between people in the university to reveal whether or not one academic knows another. We also discuss relation analysis that considers direct and indirect association of the campus-based resources (i.e. knowledge about the people) contained in Semantic Campus. Such analysis can be used, for example, to find specific experts in the university and research interests shared by a number of academics.".
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- item-1 hasContent natenapa-sriharee.
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- item-2 hasContent ravikarn-punnarut.
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- 500 creator gianluca-demartini.
- 500 type InProceedings.
- 500 label "Finding Experts Using Wikipedia".
- 500 sameAs 500.
- 500 abstract "When we want to find experts on the Web we might want to search where the knowledge is created by the users. One of such knowledge repository is Wikipedia. People expertises are described in Wikipedia pages and also the Wikipedia users can be considered experts on the topics they produce content on. In this paper we propose algorithms to find experts in Wikipedia. The two different approaches are finding experts in the Wikipedia content or among the Wikipedia users. We also use semantics from WordNet and Yago in order to disambiguate expertise topics and to improve the retrieval effectiveness. In the end, we show how our methodology can be implemented in a system in order to improve the expert retrieval effectiveness.".