Výsledky vyhledávání - "RAFES Karima"

Report

Transforming Wikipedia into an Ontology-based Information Retrieval Search Engine for Local Experts using a Third-Party Taxonomy

Autor: Grefenstette, Gregory, Rafes, Karima

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 y

Externí odkaz: http://arxiv.org/abs/1511.01259

Zobrazit plný text záznamu

Presentations of the BI&SemWeb Event in Bobo-Dioulasso, 2021

Autor: Atemezing Ghislain Auguste, MALO Sadouanouan, Bakhoum Mor, DESPRES Sylvie, DIALLO Gayo, KANA Michel, YEMDJI Christelle, Ngonga NGOMO Axel-Cyrille, MBALLO Cherif, MILLE Alain, BENSTA Hatem, RAFES Karima, BAYALA Thierry, OUEDRAOGO Boureima, KEDOTE Nonvignon Marius

The presentations during the BI&SemWeb event in 2021(hybride) in Bobo-Dioulasso, Burkina Faso. Link to the speakers and programme online athttps://sites.google.com/view/bisemweb21

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99f4b4b60bbf68e79f39d3d36050fc0a

Zobrazit plný text záznamu

Dissertation/ Thesis

Le Linked Data à l'université : la plateforme LinkedWiki

Autor: Rafes, Karima

Le Center for Data Science de l’Université Paris-Saclay a déployé une plateforme compatible avec le Linked Data en 2016. Or, les chercheurs rencontrent face à ces technologies de nombreuses difficultés. Pour surmonter celles-ci, une approche e

Externí odkaz: http://www.theses.fr/2019SACLS032/document

Zobrazit plný text záznamu

Une autocomplétion générique de SPARQL dans un contexte multi-services

Autor: Rafes, Karima, Cohen-Boulakia, Sarah, Abiteboul, Serge

Publikováno v: BDA 2017-33ème conférence sur la «Gestion de Données — Principes, Technologies et Applications»
BDA 2017-33ème conférence sur la «Gestion de Données — Principes, Technologies et Applications», Nov 2017, Nancy, France

National audience; SPARQL s'est imposé comme le langage de requêtes le plus utilisé pour accéder aux masses de données RDF disponibles sur le Web. Néanmoins, rédiger une requête en SPARQL peut se révéler fastidieux, y compris pour des utili

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::de0e328a9954f2b1d2757630803216d5
https://hal.inria.fr/hal-01627760/file/BDA2017_DEMO_Autocompletion_SPARQL.pdf

Zobrazit plný text záznamu

A platform for scientific data sharing

Autor: Rafes, Karima, Germain, Cécile

Publikováno v: BDA2015-Bases de Données Avancées
BDA2015-Bases de Données Avancées, Sep 2015, Île de Porquerolles, France

In this paper, we use the semantic web technology, notably RDF, SPARQL and Linked Open Data in the context of scientific data sharing. More precisely, we present the LinkedWiki platform that is being developed at the Center for Data Science of Paris-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d42281004aa080d361f0176dbdd24486
https://hal.inria.fr/hal-01168496/file/Demo_A_platform_for_scientific_data_sharing.pdf

Zobrazit plný text záznamu

Data acquisition for analytical platforms: Automating scientific workflows and building an open database platform for chemical anlysis metadata

Autor: Tfaili, Sana, Bui Thi, Diem, Rafes , Karima, Tfayli, Ali, Baillet-Guffroy, Arlette, Germain, Cécile, Chaminade, Pierre

Publikováno v: Chimiométrie XVII
Chimiométrie XVII, Jan 2016, Namur, Belgium

International audience; The project DAAP “Data Acquisition for Analytical Platform” engages the collaboration in the Analytical Chemistryresearch community. The platform allows shared data among scientists by accessing private Linked Database Pla

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::16896e175d5f3f2c311888d81e773564
https://hal.inria.fr/hal-01423371/document

Zobrazit plný text záznamu

Enabling Open Science: Wikidata for Research

Autor: Mietchen, Daniel, Hagedorn, Gregor, Willighagen, Egon, Rico, Mariano, Gomez-Perez, Asuncion, Aibar, Eduard, Rafes, Karima, Germain, Cécile, Dunning, Alastair, Pintscher, Lydia, Kinzler, Daniel, Anonymous

Wiki4R will create an innovative virtual research environment (VRE) for Open Science at scale, engaging both professional researchers and citizen data scientists in new and potentially transformative forms of collaboration. It is based on the realiza

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52daea7b5b9ce84b0f3be9d6c7123d6f

Zobrazit plný text záznamu

TFT, Tests For Triplestores: Certifying the interoperability of RDF database systems using a continuous delivery workflow

Autor: Rafes, Karima, Nauroy, Julien, Germain, Cécile

Publikováno v: Semantic Web Challenge, part of the International Semantic Web Conference
Semantic Web Challenge, part of the International Semantic Web Conference, Oct 2014, Riva Del Garda, Italy

International audience; —In March 2013, the W3C recommended SPARQL 1.1 to retrieve and manipulate decentralized RDF data. Real-world usage requires advanced features of Recommendation SPARQL 1.1. As these are not consistently implemented, we propos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::703e3de6564f043507611379142fd81f
https://inria.hal.science/hal-01104252

Zobrazit plný text záznamu

Enabling Open Science: Wikidata for Research

Autor: Mietchen, Daniel, Hagedorn, Gregor, Willighagen, Egon, Rico, Mariano, Gómez Pérez, Asunción, Aibar Puentes, Eduard, Rafes, Karima, Germain, Cécile, Dunning, Alastair, Pintscher, Lydia, Kinzler, Daniel

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::13c7a0ae2e511d5318515c5894280855
http://hdl.handle.net/10609/93680

Zobrazit plný text záznamu

Designing scientific SPARQL queries using autocompletion by snippets

Autor: Bastien Rance, Karima Rafes, Serge Abiteboul, Sarah Cohen-Boulakia

Publikováno v: 14th IEEE International Conference on eScience
14th IEEE International Conference on eScience, Oct 2018, Amsterdam, Netherlands
eScience

International audience; SPARQL is the standard query language used to access RDF linked data sets available on the Web. However, designing a SPARQL query can be a tedious task, even for experienced users. This is often due to imperfect knowledge by t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ccaefdab7bd5ca5855f013042d7199a
https://hal.science/hal-01874780

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání