Výsledky vyhledávání - "Catherine Faron Zucker"

Akademický článek

Integration of Web APIs and Linked Data Using SPARQL Micro-Services—Application to Biodiversity Use Cases

Autor: Franck Michel, Catherine Faron Zucker, Olivier Gargominy, Fabien Gandon

Publikováno v: Information, Vol 9, Iss 12, p 310 (2018)

In recent years, Web APIs have become a de facto standard for exchanging machine-readable data on the Web. Despite this success, however, they often fail in making resource descriptions interoperable due to the fact that they rely on proprietary voca

Externí odkaz: https://doaj.org/article/54168230792b4198a0f11c76a822d4fc

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Using Chained Views and Follow-Up Queries to Assist the Visual Exploration of the Web of Big Linked Data

Autor: Aline Menin, Minh Nhat Do, Carla Dal Sasso Freitas, Olivier Corby, Catherine Faron Zucker, Alain Giboin, Marco Winckler

Publikováno v: HAL
International Journal of Human-Computer Interaction
International Journal of Human-Computer Interaction, Taylor & Francis, In press
International Journal of Human-Computer Interaction, 2022, ⟨10.1080/10447318.2022.2112529⟩

International audience; The Web of Linked Open Data (LOD) provides access to a great number of dynamic datasets containing valuable information to support decision-making processes in diverse application domains while being publicly accessible and up

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84369c54de02fc35a229a84f0bf82b43
https://doi.org/10.1080/10447318.2022.2112529

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Akademický článek

Semantic Web Approach to Ease Regulation Compliance Checking in Construction Industry

Autor: Bruno Fies, Catherine Faron-Zucker, Alain Zarli, Nhan Le Thanh, Khalil Riad Bouzidi

Publikováno v: Future Internet, Vol 4, Iss 3, Pp 830-851 (2012)

Regulations in the Building Industry are becoming increasingly complex and involve more than one technical area, covering products, components and project implementations. They also play an important role in ensuring the quality of a building, and to

Externí odkaz: https://doaj.org/article/925e153579dd43e191ad6c5e2edc147a

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From Linked Data Querying to Visual Search: Towards a Visualization Pipeline for LOD Exploration

Autor: Marco Winckler, Carla Dal Sasso Freitas, Fabien Gandon, Aline Menin, Catherine Faron Zucker, Olivier Corby

Publikováno v: Proceedings of the 17th International Conference on Web Information Systems and Technologies (WEBIST)
Proceedings of the 17th International Conference on Web Information Systems and Technologies (WEBIST), Oct 2021, Online Streaming, France. ⟨10.5220/0010654600003058⟩
WEBIST
HAL
WEBIST 2021-17th International Conference on Web Information Systems and Technologies
WEBIST 2021-17th International Conference on Web Information Systems and Technologies, Oct 2021, Online Streaming, France. ⟨10.5220/0010654600003058⟩

International audience; Over the recent years, Linked Open Data (LOD) has been increasingly used to support decision-making processes in various application domains. For that purpose, an increasing interest in information visualization has been obser

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2ddd9c7d4a5e16c02a99b6e7bcc009a
https://hal.archives-ouvertes.fr/hal-03404572

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Injection of Automatically Selected DBpedia Subjects in Electronic Medical Records to boost Hospitalization Prediction

Autor: Virginie Lacroix-Hugues, David Darmon, Catherine Faron-Zucker, Raphaël Gazzotti, Fabien Gandon

Publikováno v: SAC 2020-35th ACM/SIGAPP Symposium On Applied Computing
SAC 2020-35th ACM/SIGAPP Symposium On Applied Computing, Mar 2020, Brno, Czech Republic. ⟨10.1145/3341105.3373932⟩
SAC

International audience; Although there are many medical standard vocabularies available, it remains challenging to properly identify domain concepts in electronic medical records. Variations in the annotations of these texts in terms of coverage and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3760d7680d8c30855b837ad19d1861f8
https://hal.archives-ouvertes.fr/hal-02389918/document

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Overlapping community detection and temporal analysis on Q&A sites

Autor: Fabien Gandon, Catherine Faron Zucker, Zide Meng

Publikováno v: Web Intelligence and Agent Systems
Web Intelligence and Agent Systems, IOS Press, 2017, 15, pp.115-142. ⟨10.3233/WEB-170356⟩
Web Intelligence and Agent Systems, 2017, 15, pp.115-142. ⟨10.3233/WEB-170356⟩

International audience; In many social networks, people interact based on their relationship network. Community detection algorithms are then useful to reveal the sub-structures of a network. Identifying these users' communities can help us assist th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e36e1aba803208dfa25f4276c1a772c
https://doi.org/10.3233/web-170356

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Personalizing and Improving Resource Recommendation by Analyzing Users Preferences in Social Tagging Activities

Autor: Hassina Seridi, Samia Beldjoudi, Catherine Faron Zucker

Publikováno v: COMPUTING AND INFORMATICS; Vol. 36 No. 1 (2017): Computing and Informatics; 223-256

Collaborative tagging which is the keystone of the social practices of web 2.0 has been highly developed in the last few years. In this paper, we propose a new method to analyze user profiles according to their tagging activity in order to improve re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a185aadaf1f75db9cab25f96802f11f4
https://doi.org/10.4149/cai_2017_1_223

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Assisting Biologists in Editing Taxonomic Information by Confronting Multiple Data Sources using Linked Data Standards

Autor: Catherine Faron-Zucker, Antonia Ettorre, Franck Michel, Sandrine Tercerie, Gargominy Olivier

Publikováno v: Biodiversity Next
Biodiversity Next, Oct 2019, Leiden, Netherlands. ⟨10.3897/biss.3.37421⟩
Biodiversity Information Science and Standards 3: e37421

During the last decade, Web APIs (Application Programming Interface) have gained significant traction to the extent that they have become a de-facto standard to enable HTTP-based, machine-processable data access. Despite this success, however, they s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac6e5bd0e01a9ea7012ca685667be890
https://hal.archives-ouvertes.fr/hal-02168164/file/BISS_article_37421.pdf

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Injecting Domain Knowledge in Electronic Medical Records to Improve Hospitalization Prediction

Autor: Virginie Lacroix-Hugues, Catherine Faron-Zucker, Fabien Gandon, David Darmon, Raphaël Gazzotti

Publikováno v: Springer’s Lecture Notes in Computer Science (LNCS)
ESWC 2019-16th Extended Semantic Web Conference
ESWC 2019-16th Extended Semantic Web Conference, Jun 2019, Portorož, Slovenia. pp.116--130, ⟨10.1007/978-3-030-21348-0_8⟩
The Semantic Web ISBN: 9783030213473
ESWC

International audience; Electronic medical records (EMR) contain key information about the different symptomatic episodes that a patient went through. They carry a great potential in order to improve the well-being of patients and therefore represent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdf1ca1479e823c03d0753d7d6f4ad15
https://hal.archives-ouvertes.fr/hal-02064421v2/document

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Enabling Automatic Discovery and Querying of Web APIs at Web Scale using Linked Data Standards

Autor: Olivier Corby, Franck Michel, Fabien Gandon, Catherine Faron-Zucker

Publikováno v: WWW2019 workshop on Linked Data on the Web and its Relationship with Distributed Ledgers (LDOW/LDDL)
WWW2019 workshop on Linked Data on the Web and its Relationship with Distributed Ledgers (LDOW/LDDL), May 2019, San Francisco, United States. ⟨10.1145/3308560.3317073⟩
WWW (Companion Volume)

International audience; To help in making sense of the ever-increasing number of data sources available on the Web, in this article we tackle the problem of enabling automatic discovery and querying of data sources at Web scale. To pursue this goal,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b700f639f6928dbcd9c68a1dfd1471cb
https://hal.archives-ouvertes.fr/hal-02060966/file/ldow01-michel.pdf

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