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- item-4 hasContent amelie-gyrard.
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- 10 creator ian-dunwell.
- 10 type InProceedings.
- 10 label "Automating Content Generation for Large-scale Virtual Learning Environments using Semantic Web Services".
- 10 sameAs 10.
- 10 abstract "The integration of semantic web services with three-dimensional virtual worlds offers many potential avenues for the creation of dynamic, content-rich environments which can be used to entertain, educate, and inform. One such avenue is the fusion of the large volumes of data from Wiki-based sources with virtual representations of historic locations, using semantics to filter and present data to users in effective and personalisable ways. This paper explores the potential for such integration, addressing challenges ranging from accurately transposing virtual world locales to semantically-linked real world data, to integrating diverse ranges of semantic information sources in a user-centric and seamless fashion. A demonstrated proof-of-concept, using the Rome Reborn model, shows several advantages that can be gained through the use of existing Wiki and semantic web services to rapidly and automatically annotate 3D content, as well as demonstrating the increasing need for Wiki content to be represented in a semantically-rich form. Such an approach has applications in a range of different contexts, including education, training, and cultural heritage.".
- 10 hasAuthorList authorList.
- 10 isPartOf proceedings.
- 10 keyword "semantic web applications".
- 10 keyword "semantic wiki".
- 10 keyword "virtual learning environments".
- 10 title "Automating Content Generation for Large-scale Virtual Learning Environments using Semantic Web Services".
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- item-1 hasContent ian-dunwell.
- 11 creator joaquin-j-molina-castro.
- 11 creator jose-f-aldana-montes.
- 11 creator manuela-ruiz-montiel.
- 11 type InProceedings.
- 11 label "TasTicWiki: A Semantic Wiki with Content Recommendation".
- 11 sameAs 11.
- 11 abstract "Wikis are a great tool inside the Social Web, as they provide the chance of creating collaborative knowledge in a quick way. Semantic wikis are becoming popular as web technologies evolve: ontologies and semantic markup in the web allow the generation of machine-readable information. Semantic wikis are often seen as small semantic webs as they provide support for enhanced navigation and searching of their contents, just what the standards of the Semantic Web aim to offer. Moreover, the great amount of information normally present inside wikis, or any web page, creates the necessity of some kind of filtering or personalized recommendation in order to lighten the search of interesting items. We have developed TasTicWiki, a novel semantic wiki engine which takes advantage of semantic information in order, not only to enhance navigation and searching, but also to provide recommendation services.".
- 11 hasAuthorList authorList.
- 11 isPartOf proceedings.
- 11 keyword "ontologies".
- 11 keyword "recommender systems".
- 11 keyword "semantic wiki".
- 11 title "TasTicWiki: A Semantic Wiki with Content Recommendation".
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- item-1 hasContent manuela-ruiz-montiel.
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- 12 creator alexandre-blansche.
- 12 creator amedeo-napoli.
- 12 creator hala-skaf-molli.
- 12 creator pascal-molli.
- 12 type InProceedings.
- 12 label "Human-machine Collaboration for Enriching Semantic Wikis using Formal Concept Analysis".
- 12 sameAs 12.
- 12 abstract "Semantic wikis are new generation of collaborative tools. They allow to embed semantic annotations in the wiki content. These annotations allow to better organize and structure the wiki contents. It is then possible for users to build knowledge understandable by humans and computers. By this way, machines are allowed to produce or update semantic wiki pages as humans can do. In this paper, we propose a new smart agent based on Formal Concept Analysis. This smart agent can compute automatically category trees based on defined semantic properties. In order to reduce human-machine collaboration problems, humans just validate changes proposed by the smart agent. A distributed version of wiki is used to ensure consistency of the content during the validation process.".
- 12 hasAuthorList authorList.
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- 12 keyword "Formal Concept Analysis".
- 12 keyword "Human-Machine Collaboration".
- 12 keyword "semantic wiki".
- 12 title "Human-machine Collaboration for Enriching Semantic Wikis using Formal Concept Analysis".
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- item-1 hasContent alexandre-blansche.
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- 13 creator antoni-hermoso-pulido.
- 13 creator guglielmo-roma.
- 13 creator michela-bertero.
- 13 creator miriam-alloza.
- 13 creator silvia-speroni.
- 13 type InProceedings.
- 13 label "Lab Service Wiki: a wiki-based data management solution for protein production service".
- 13 sameAs 13.
- 13 abstract "Lab Service Wiki is a Semantic MediaWiki implementation for the management of a production laboratory. Here we describe its implementation on a protein service lab. Users of the service enter information about a sample and the desired analysis to be performed by using a semantic-enabled form built on top of a wiki page. After submitting, a workflow is created, and the manager of the service can assign different experimental tasks to the lab operators. The final output is the generation of a report for the requester. Users and operators, according to their profile and granted permissions, can track the state of the requests and the associated experiments at any time. People interested in this implementation can access it at: http://labservice.biocore.crg.cat".
- 13 hasAuthorList authorList.
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- 13 keyword "laboratory".
- 13 keyword "protein".
- 13 keyword "semantic wiki".