Matches in ScholarlyData for { ?s ?p ?o. }
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- item-2 hasContent kentaro-oguchi.
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- 26 creator takahiro-kawamura.
- 26 type InProceedings.
- 26 label "Green-Thumb Camera: LOD Application for Field IT".
- 26 sameAs 26.
- 26 abstract "Recently, home garden and green interior have been receiving attention due to the growing environmental consciousness and macrobiotics. However, it is not very simple to grow the greenery in an urban restricted space, then it occasionally results in overgrowth or extinction. Also, it is important for interior / exterior use to balance the greenery to a user's surrounding, but it is difficult for amateurs to imagine its future grown form. Therefore, we propose an Android application ``Green-Thumb Camera'' to query a plant from LOD Cloud to fit environmental conditions based of sensor information on smart phone, and overlay its grown form in the space using AR.".
- 26 hasAuthorList authorList.
- 26 isPartOf proceedings.
- 26 keyword "AR".
- 26 keyword "Field".
- 26 keyword "LOD".
- 26 keyword "Plant".
- 26 keyword "Sensor".
- 26 title "Green-Thumb Camera: LOD Application for Field IT".
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- item-1 hasContent takahiro-kawamura.
- 29 creator carlos-tejo-alonso.
- 29 creator diego-berrueta.
- 29 creator guillermo-gonzalez-moriyon.
- 29 creator luis-polo.
- 29 creator miguel-iglesias.
- 29 type InProceedings.
- 29 label "Assembling Rule Mashups in the Semantic Web".
- 29 sameAs 29.
- 29 abstract "This paper introduces RIF Assembler, a tool that reuses knowledge to automatically construct rule-based systems. Our novel approach is based on (a) annotating domain rules with metadata and (b) expressing assembly instructions as metarules that manipulate the annotations. We leverage the power of RIF as a rule interchange format, and RDF and OWL for rule annotations. RIF Assembler has applications in many scenarios. This paper presents two of them in increasing order of sophistication: a simplistic example related to the health care industry, and an actual usage in the steel industry that involves the construction of a decision-support system driven by business process descriptions.".
- 29 hasAuthorList authorList.
- 29 isPartOf proceedings.
- 29 keyword "knowledge reuse".
- 29 keyword "metarules".
- 29 keyword "rif".
- 29 title "Assembling Rule Mashups in the Semantic Web".
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- item-1 hasContent guillermo-gonzalez-moriyon.
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- item-2 hasContent luis-polo.
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- item-3 hasContent diego-berrueta.
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- item-4 hasContent carlos-tejo-alonso.
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- item-5 hasContent miguel-iglesias.
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- 9 creator heiko-paulheim.
- 9 type InProceedings.
- 9 label "Generating Possible Interpretations for Statistics from Linked Open Data".
- 9 sameAs 9.
- 9 abstract "Statistics are very present in our daily lives. Every day, new statistics are published, showing the perceived quality of living in different cities, the corruption index of different countries, and so on. Interpreting those statistics, on the other hand, is a difficult task. Often, statistics collect only very few attributes, and it is difficult to come up with hypotheses that explain, e.g., why the perceived quality of living in once city is higher than in another. In this paper, we introduce Explain-a-LOD, an approach which uses data from Linked Open Data for generating hypotheses that explain statistics. We show an implemented prototype and compare different approaches for generating hypotheses by analyzing the perceived quality of those hypotheses in a user study.".
- 9 hasAuthorList authorList.
- 9 isPartOf proceedings.
- 9 keyword "Applications".
- 9 keyword "Linked Open Data".
- 9 keyword "Rule Learning".
- 9 keyword "Semantic Web".
- 9 keyword "Statistics".
- 9 title "Generating Possible Interpretations for Statistics from Linked Open Data".
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- item-1 hasContent heiko-paulheim.
- 92 creator edouard-chevalier.
- 92 creator francois-paul-servant.
- 92 type InProceedings.
- 92 label "Product customization as Linked Data".
- 92 sameAs 92.
- 92 abstract "Ranges of customizable products are huge and complex, because of the number of features and options a customer can choose from, and the many constraints that exist between them. It could hinder the publishing of customizable product data on the web of e-business data, because constraints are not tractable by agents lacking reasoning capabilities. But the configuration process, which helps a customer to make her choice, one step at a time, is a traversal of a graph of partially defined products - that is, Linked Data. Reasoning being hosted on the server, its complexity is hidden from clients. This results in a generic configuration API, in use at Renault. As configurations can be completed to valid commercial offers, the corresponding ontology fits nicely with GoodRelations. Benefits in e-business related use cases are presented: sharing configurations between media, devices and applications, range comparison based on customer's interests, ads, SEO.".
- 92 hasAuthorList authorList.
- 92 isPartOf proceedings.
- 92 keyword "Automotive".
- 92 keyword "Configuration".
- 92 keyword "Customizable Product".
- 92 keyword "GoodRelations".
- 92 keyword "Linked Data".
- 92 title "Product customization as Linked Data".
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