48 research outputs found
Transforming Wikipedia into an Ontology-based Information Retrieval Search Engine for Local Experts using a Third-Party Taxonomy
Wikipedia is widely used for finding general information about a wide variety
of topics. Its vocation is not to provide local information. For example, it
provides plot, cast, and production information about a given movie, but not
showing times in your local movie theatre. Here we describe how we can connect
local information to Wikipedia, without altering its content. The case study we
present involves finding local scientific experts. Using a third-party
taxonomy, independent from Wikipedia's category hierarchy, we index information
connected to our local experts, present in their activity reports, and we
re-index Wikipedia content using the same taxonomy. The connections between
Wikipedia pages and local expert reports are stored in a relational database,
accessible through as public SPARQL endpoint. A Wikipedia gadget (or plugin)
activated by the interested user, accesses the endpoint as each Wikipedia page
is accessed. An additional tab on the Wikipedia page allows the user to open up
a list of teams of local experts associated with the subject matter in the
Wikipedia page. The technique, though presented here as a way to identify local
experts, is generic, in that any third party taxonomy, can be used in this to
connect Wikipedia to any non-Wikipedia data source.Comment: Joint Second Workshop on Language and Ontology \& Terminology and
Knowledge Structures (LangOnto2 + TermiKS) LO2TKS, May 2016, Portoroz,
Slovenia. 201
Une autocomplétion générique de SPARQL dans un contexte multi-services
National audienceSPARQL s'est imposĂ© comme le langage de requĂȘtes le plus utilisĂ© pour accĂ©der aux masses de donnĂ©es RDF disponibles sur le Web. NĂ©anmoins, rĂ©diger une requĂȘte en SPARQL peut se rĂ©vĂ©ler fastidieux, y compris pour des utilisateurs expĂ©rimentĂ©s. Cela tient souvent d'une maĂźtrise imparfaite par l'utilisateur des ontologies impliquĂ©es pour dĂ©crire les connaissances. Pour pallier ce problĂšme, un nombre croissant d'Ă©diteurs de requĂȘtes SPARQL proposent des fonctionnalitĂ©s d'autocomplĂ©tion qui restent limitĂ©es car souvent associĂ©es Ă un unique champ et toujours associĂ©es Ă un service SPARQL fixĂ©. Dans cet article, nous dĂ©montrons, au travers d'une expĂ©rimentation, une approche permettant de proposer des complĂ©tions d'une requĂȘte en cours de rĂ©daction en exploitant de nombreux types d'autocomplĂ©tion et ce dans un contexte multi-services. Cette expĂ©rimentation s'appuie sur un Ă©diteur SPARQL auquel nous avons ajoutĂ© des mĂ©canismes d'autocomplĂ©tion qui supportent une ontologie en perpĂ©tuelle Ă©volution, ici avec la base de connaissances collaborative de Wikidata
Effects of host switching on gypsy moth ( Lymantria dispar (L.)) under field conditions
Effects of various single and two species diets on the performance of gypsy moth ( Lymantria dispar (L.)) were studied when this insect was reared from hatch to population on intact host trees in the field. The tree species used for this study were red oak ( Quercus rubra L.), white oak (Q. alba L.), bigtooth aspen ( Populus grandidentata Michaux), and trembling aspen ( P. tremuloides Michaux). These are commonly available host trees in the Lake States region. The study spanned two years and was performed at two different field sites in central Michigan. Conclusions drawn from this study include: (1) Large differences in gypsy moth growth and survival can occur even among diet sequences composed of favorable host species. (2) Larvae that spent their first two weeks feeding on red oak performed better during this time period than larvae on all other host species in terms of mean weight, mean relative growth rate (RGR), and mean level of larval development, while larvae on a first host of bigtooth aspen were ranked lowest in terms of mean weight, RGR, and level of larval development. (3) Combination diets do not seem to be inherently better or worse than diets composed of only a single species; rather, insect performance was affected by the types of host species eaten and the time during larval development that these host species were consumed instead of whether larvae ate single species diets or mixed species diets. (4) In diets composed of two host species, measures of gypsy moth performance are affected to different extents in the latter part of the season by the two different hosts; larval weights and development rates show continued effects of the first host fed upon while RGRs, mortality, and pupal weights are affected strongly by the second host type eaten. (5) Of the diets investigated in this study, early feeding on red oak followed by later feeding on an aspen, particularly trembling aspen, is most beneficial to insects in terms of attaining high levels of performance throughout their lives.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/47802/1/442_2004_Article_BF00323144.pd
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[Memorandum from Richard Rafes to Alfred Hurley, August 4, 1987]
Memorandum from Richard Rafes to Alfred Hurley on August 4, 1987, regarding a meeting with the Texas Education Association, where it was decided that the Texas Academy of Math and Science should serve as an early admissions program to college, rather than an advanced public high school. They agreed to aspects regarding funding, curriculum, admissions, extracurricular activities, residency requirements, discipline and student conduct, and regulation and reporting to TEA
Linked Data at university : the LinkedWiki platform
Le Center for Data Science de lâUniversitĂ© Paris-Saclay a dĂ©ployĂ© une plateforme compatible avec le Linked Data en 2016. Or, les chercheurs rencontrent face Ă ces technologies de nombreuses difficultĂ©s. Pour surmonter celles-ci, une approche et une plateforme appelĂ©e LinkedWiki, ont Ă©tĂ© conçues et expĂ©rimentĂ©es au-dessus du cloud de lâuniversitĂ© (IAAS) pour permettre la crĂ©ation dâenvironnements virtuels de recherche (VRE) modulaires et compatibles avec le Linked Data. Nous avons ainsi pu proposer aux chercheurs une solution pour dĂ©couvrir, produire et rĂ©utiliser les donnĂ©es de la recherche disponibles au sein du Linked Open Data, câest-Ă -dire du systĂšme global dâinformation en train dâĂ©merger Ă lâĂ©chelle du Web. Cette expĂ©rience nous a permis de montrer que lâutilisation opĂ©rationnelle du Linked Data au sein dâune universitĂ© est parfaitement envisageable avec cette approche. Cependant, certains problĂšmes persistent, comme (i) le respect des protocoles du Linked Data et (ii) le manque dâoutils adaptĂ©s pour interroger le Linked Open Data avec SPARQL. Nous proposons des solutions Ă ces deux problĂšmes. Afin de pouvoir vĂ©rifier le respect dâun protocole SPARQL au sein du Linked Data dâune universitĂ©, nous avons crĂ©Ă© lâindicateur SPARQL Score qui Ă©value la conformitĂ© des services SPARQL avant leur dĂ©ploiement dans le systĂšme dâinformation de lâuniversitĂ©. De plus, pour aider les chercheurs Ă interroger le LOD, nous avons implĂ©mentĂ© le dĂ©monstrateur SPARQLets-Finder qui dĂ©montre quâil est possible de faciliter la conception de requĂȘtes SPARQL Ă lâaide dâoutils dâautocomplĂ©tion sans connaissance prĂ©alable des schĂ©mas RDF au sein du LOD.The Center for Data Science of the University of Paris-Saclay deployed a platform compatible with Linked Data in 2016. Because researchers face many difficulties utilizing these technologies, an approach and then a platform we call LinkedWiki were designed and tested over the universityâs cloud (IAAS) to enable the creation of modular virtual search environments (VREs) compatible with Linked Data. We are thus able to offer researchers a means to discover, produce and reuse the research data available within the Linked Open Data, i.e., the global information system emerging at the scale of the internet. This experience enabled us to demonstrate that the operational use of Linked Data within a university is perfectly possible with this approach. However, some problems persist, such as (i) the respect of protocols and (ii) the lack of adapted tools to interrogate the Linked Open Data with SPARQL. We propose solutions to both these problems. In order to be able to verify the respect of a SPARQL protocol within the Linked Data of a university, we have created the SPARQL Score indicator which evaluates the compliance of the SPARQL services before their deployments in a universityâs information system. In addition, to help researchers interrogate the LOD, we implemented a SPARQLets-Finder, a demonstrator which shows that it is possible to facilitate the design of SPARQL queries using autocompletion tools without prior knowledge of the RDF schemas within the LOD
Le Linked Data à l'université : la plateforme LinkedWiki
The Center for Data Science of the University of Paris-Saclay deployed a platform compatible with Linked Data in 2016. Because researchers face many difficulties utilizing these technologies, an approach and then a platform we call LinkedWiki were designed and tested over the universityâs cloud (IAAS) to enable the creation of modular virtual search environments (VREs) compatible with Linked Data. We are thus able to offer researchers a means to discover, produce and reuse the research data available within the Linked Open Data, i.e., the global information system emerging at the scale of the internet. This experience enabled us to demonstrate that the operational use of Linked Data within a university is perfectly possible with this approach. However, some problems persist, such as (i) the respect of protocols and (ii) the lack of adapted tools to interrogate the Linked Open Data with SPARQL. We propose solutions to both these problems. In order to be able to verify the respect of a SPARQL protocol within the Linked Data of a university, we have created the SPARQL Score indicator which evaluates the compliance of the SPARQL services before their deployments in a universityâs information system. In addition, to help researchers interrogate the LOD, we implemented a SPARQLets-Finder, a demonstrator which shows that it is possible to facilitate the design of SPARQL queries using autocompletion tools without prior knowledge of the RDF schemas within the LOD.Le Center for Data Science de lâUniversitĂ© Paris-Saclay a dĂ©ployĂ© une plateforme compatible avec le Linked Data en 2016. Or, les chercheurs rencontrent face Ă ces technologies de nombreuses difficultĂ©s. Pour surmonter celles-ci, une approche et une plateforme appelĂ©e LinkedWiki, ont Ă©tĂ© conçues et expĂ©rimentĂ©es au-dessus du cloud de lâuniversitĂ© (IAAS) pour permettre la crĂ©ation dâenvironnements virtuels de recherche (VRE) modulaires et compatibles avec le Linked Data. Nous avons ainsi pu proposer aux chercheurs une solution pour dĂ©couvrir, produire et rĂ©utiliser les donnĂ©es de la recherche disponibles au sein du Linked Open Data, câest-Ă -dire du systĂšme global dâinformation en train dâĂ©merger Ă lâĂ©chelle du Web. Cette expĂ©rience nous a permis de montrer que lâutilisation opĂ©rationnelle du Linked Data au sein dâune universitĂ© est parfaitement envisageable avec cette approche. Cependant, certains problĂšmes persistent, comme (i) le respect des protocoles du Linked Data et (ii) le manque dâoutils adaptĂ©s pour interroger le Linked Open Data avec SPARQL. Nous proposons des solutions Ă ces deux problĂšmes. Afin de pouvoir vĂ©rifier le respect dâun protocole SPARQL au sein du Linked Data dâune universitĂ©, nous avons crĂ©Ă© lâindicateur SPARQL Score qui Ă©value la conformitĂ© des services SPARQL avant leur dĂ©ploiement dans le systĂšme dâinformation de lâuniversitĂ©. De plus, pour aider les chercheurs Ă interroger le LOD, nous avons implĂ©mentĂ© le dĂ©monstrateur SPARQLets-Finder qui dĂ©montre quâil est possible de faciliter la conception de requĂȘtes SPARQL Ă lâaide dâoutils dâautocomplĂ©tion sans connaissance prĂ©alable des schĂ©mas RDF au sein du LOD
Recommended from our members
[Letter from Richard Rafes, August 5, 1987]
Letter from Richard Rafes to Cathy Peavler, Tom Patton, and David Thompson on August 5, 1987, thanking them for meeting with him and James Miller about the Texas Academy of Mathematics and Science, and summarizing the understandings they came to in regards to funding, curriculum, admissions, extracurricular activities, residency requirements, discipline and student conduct, and regulations and reporting to TEA
Recommended from our members
[Letter from Richard Rafes, August 5, 1987]
Letter from Richard Rafes to Cathy Peavler, Tom Patton, and David Thompson on August 5, 1987, thanking them for meeting with him and James Miller about the Texas Academy of Mathematics and Science, and summarizing the understandings they came to in regards to funding, curriculum, admissions, extracurricular activities, residency requirements, discipline and student conduct, and regulations and reporting to TEA