Matches in ScholarlyData for { ?s ?p ?o. }
- 68 abstract "Semantic Web policies are general statements that define the behavior of a system acting on behalf of real users. These policies have various applications ranging from dynamic agent control to advanced access control policies. Although policies attracted a lot of research efforts in recent years, suitable representation and reasoning facilities allowing for \emph{reactive} policies are not likewise developed. In this paper, we describe the concept of reactive Semantic Web policies. Reactive policies allow for the definition of events and actions, that is, they allow to define reactive behavior of a system acting on the Semantic Web. A reactive policy makes use of the tremendous amount of knowledge available on the Semantic Web in order to guide system behaviour while at the same time ensuring trusted and policy-compliant communication. In paper, we present a formal framework for expressing and enforcing such reactive policies in combination with advanced trust establishing techniques that featuring an interplay between reactivity and agent negotiation. We show how we used our approach in a real system by presenting a prototype that allows to define and enforce reactive Semantic Web policies on the Social Network and communication tool Skype.".
- 68 hasAuthorList authorList.
- 68 isPartOf proceedings.
- 68 keyword "Reactivity on the Web".
- 68 keyword "Semantic Web policies".
- 68 keyword "Skype".
- 68 keyword "Trust negotiation".
- 68 title "Reactive Policies for the Semantic Web".
- authorList type List.
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- item-1 type ListItem.
- item-1 hasContent piero-bonatti.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent philipp-kaerger.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent daniel-olmedilla.
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- 72 creator agnieszka-lawrynowicz.
- 72 creator claudia-damato.
- 72 creator nicola-fanizzi.
- 72 type InProceedings.
- 72 label "Categorize By: Deductive Aggregation of Semantic Web Query Results".
- 72 sameAs 72.
- 72 abstract "Query answering on a wide and heterogeneous environment such as the Web can return a large number of results that can be hardly manageable by users/agents. The adoption of grouping criteria of the results could be of great help. Up to date, most of the proposed methods for aggregating results on the (Semantic) Web are mainly grounded on syntactic approaches. However, they could not be of significant help, when the values instantiating a grouping criterion are all equal (thus creating a unique group) or when the values instantiating a grouping criterion are almost all different (thus creating one group for each answer). We propose a novel approach that is able to overcome such drawbacks, where, given a query in the form of a conjunctive query, grouping is grounded on the exploitation of the semantics of background ontologies during the aggregation of query results. Speciffically, we propose a solution where, in a deductive modality, answers are grouped taking into account the subsumption hierarchy of the underlying knowledge base. As such, the results can be showed and navigated similarly to a faceted search. An experimental evaluation of the proposed method is also reported.".
- 72 hasAuthorList authorList.
- 72 isPartOf proceedings.
- 72 keyword "aggregation".
- 72 keyword "conjunctive queries".
- 72 keyword "description logics".
- 72 keyword "information retrieval".
- 72 keyword "semantic grouping".
- 72 title "Categorize By: Deductive Aggregation of Semantic Web Query Results".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
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- item-1 type ListItem.
- item-1 hasContent claudia-damato.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent nicola-fanizzi.
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- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent agnieszka-lawrynowicz.
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- 11 creator huairen-lin.
- 11 type InProceedings.
- 11 label "Computational and Crowdsourcing Methods for Extracting Ontological Structure from Folksonomy".
- 11 sameAs 11.
- 11 abstract "This thesis investigates the unification of folksonomies and ontologies in such a way that the resulting structures can better support exploration and search on the World Wide Web. First, an integrated computational method is employed to extract the ontological structures from folksonomies. It exploits the power of low support association rule mining supplemented by an upper ontology such as WordNet. Promising results have been obtained from experiments on Flickr and Citeulike. Next, a crowdsourcing method is introduced to channel online usersâ•˙ search efforts to help to evolve the extracted ontology.".
- 11 hasAuthorList authorList.
- 11 isPartOf proceedings.
- 11 keyword "association rule mining".
- 11 keyword "crowdsourcing".
- 11 keyword "folksonomy".
- 11 keyword "ontology".
- 11 keyword "wordnet".
- 11 title "Computational and Crowdsourcing Methods for Extracting Ontological Structure from Folksonomy".
- authorList type List.
- authorList hasFirstItem item-1.
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- item-1 type ListItem.
- item-1 hasContent huairen-lin.
- 12 creator yan-shvartzshnaider.
- 12 type InProceedings.
- 12 label "Global Semantic Graph as an Alternative Information and Collaboration Infrastructure".
- 12 sameAs 12.
- 12 abstract "We propose the development of a Global Semantic Graph (GSG) as the foundation for future information and collaboration-centric applications and services. It would provide a single abstraction for storing, processing and communicating information based on globally interlinked semantic resources. The GSG adopts approaches and methods from the Semantic Web and thus facilitates a better information sharing abstraction.".
- 12 hasAuthorList authorList.
- 12 isPartOf proceedings.
- 12 keyword "collaboration".
- 12 keyword "global semantic graph".
- 12 keyword "pub-sub system".
- 12 title "Global Semantic Graph as an Alternative Information and Collaboration Infrastructure".
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- authorList hasFirstItem item-1.
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- item-1 type ListItem.
- item-1 hasContent yan-shvartzshnaider.
- 17 creator qi-gao.
- 17 type InProceedings.
- 17 label "Towards Trust in Web Content Using Semantic Web Technologies".
- 17 sameAs 17.
- 17 abstract "Since the amount of user-generated content has been sharply increasing in recent years, mainly due to Web 2.0 technology and effects of social networking, it is necessary to build mechanisms to assess the reliability of the content. On the web this notion of trust is a key ingredient for an effective manipulation of knowledge on a (world-wide) web scale. The web of trust has thus become an important research area both for web science and semantic web. In the PhD research we have laid out for us, we focus on the notion of trust and methods for representing and computing trust of users in the web content. This paper outlines the vision at the start of the PhD period on the research problem and the semantic web-based approach to solve that problem.".
- 17 hasAuthorList authorList.
- 17 isPartOf proceedings.
- 17 keyword "semantic web".
- 17 keyword "trust".