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- item-1 hasContent luke-steller.
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- item-2 hasContent shonali-krishnaswamy.
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- item-3 hasContent mohamed-gaber.
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- 374 creator eyal-oren.
- 374 creator frank-van-harmelen.
- 374 creator jacopo-urbani.
- 374 creator spyros-kotoulas.
- 374 type InProceedings.
- 374 label "Scalable Distributed Reasoning using MapReduce".
- 374 sameAs 374.
- 374 abstract "We address the problem of scalable distributed reasoning, proposing a technique for materialising the closure of an RDF graph based on MapReduce. We have implemented our approach on top of Hadoop and deployed it on a compute cluster of up to 64 commodity machines. We show that a naive implementation on top of MapReduce is straightforward but performs badly and we present several non-trivial optimisations. Our algorithm is scalable and allows us to compute the RDFS closure of 865M triples from the Web (producing 30B triples) in less than two hours, faster than any other published approach.".
- 374 hasAuthorList authorList.
- 374 hasTopic Semantic_Web.
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- 374 title "Scalable Distributed Reasoning using MapReduce".
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- item-1 hasContent jacopo-urbani.
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- item-2 hasContent spyros-kotoulas.
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- item-3 hasContent eyal-oren.
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- item-4 hasContent frank-van-harmelen.
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- 375 creator lalana-kagal.
- 375 creator oshani-seneviratne.
- 375 creator tim-berners-lee.
- 375 type InProceedings.
- 375 label "Policy Aware Content Reuse on the Web".
- 375 sameAs 375.
- 375 abstract "The Web allows users to share their work very effectively leading to the rapid re-use and remixing of content on the Web including text, images, and videos. Scientific research data, social networks, blogs, photo sharing sites and other such applications known collectively as the Social Web have lots of increasingly complex information. Such information from several Web pages can be very easily aggregated, mashed up and presented in other Web pages. Content generation of this nature inevitably leads to many copyright and license violations, motivating research into effective methods to detect and prevent such violations. This is supported by an experiment on Creative Commons (CC) attribution license violations from samples of Web sites that had at least one embedded Flickr image, which revealed that the attribution license violation rate of Flickr images on the Web is around 70-90%. Our primary objective is to enable users to do the right thing and comply with CC licenses associated with Web media, instead of preventing them from doing the wrong thing or detecting violations of these licenses. As a solution, we have implemented two applications: (1) Attribution License Violations Validator, which can be used to validate users' derived work against attribution licenses of reused media and, (2) Semantic Clipboard, which provides license awareness of Web media and enables users to copy them along with the appropriate license metadata.".
- 375 hasAuthorList authorList.
- 375 hasTopic Semantic_Web.
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- 375 title "Policy Aware Content Reuse on the Web".
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- item-1 hasContent oshani-seneviratne.
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- item-2 hasContent lalana-kagal.
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- item-3 hasContent tim-berners-lee.
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- 380 creator amir-ghazvinian.
- 380 creator clement-jonquet.
- 380 creator mark-a-musen.
- 380 creator natalya-noy.
- 380 creator nigam-shah.
- 380 type InProceedings.
- 380 label "What Four Million Mappings Can Tell You About Two Hundred Ontologies".
- 380 sameAs 380.
- 380 abstract "The field of biomedicine has embraced the Semantic Web probably more than any other field. As a result, there is a large number of biomedical ontologies covering overlapping areas of the field. We have developed BioPortal an open community-based repository of biomedical ontologies. We analyzed ontologies and terminologies in BioPortal and the Unified Medical Language System (UMLS), creating more than 4 million mappings between concepts in these ontologies and terminologies based on the lexical similarity of concept names and synonyms. We then analyzed the mappings and what they tell us about the ontologies themselves, the structure of the ontology repository, and the ways in which the mappings can help in the process of ontology design and evaluation. For example, we can use the mappings to guide users who are new to a field to the most pertinent ontologies in that field, to identify areas of the domain that are not covered sufficiently by the ontologies in the repository, and to identify which ontologies will serve well as background knowledge in domain-specific tools. While we used a specific (but large) ontology repository for the study, we believe that the lessons we learned about the value of a large-scale set of mappings to ontology users and developers are general and apply in many other domains.".
- 380 hasAuthorList authorList.
- 380 hasTopic Semantic_Web.
- 380 isPartOf proceedings.
- 380 title "What Four Million Mappings Can Tell You About Two Hundred Ontologies".
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- item-1 hasContent amir-ghazvinian.
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