Differences

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--- fmichel [2025/02/22 23:23] – [Open Data: creation/publication of open datasets] fmichel
+++ fmichel [2025/10/02 13:25] (current) – [Software Development] fmichel
@@ Line 5: / Line 5: @@
 {{:franckmichel2_600.jpg?nolink&130 | }}
-I am a CNRS research engineer involved in the **<text type="primary">integration of heterogeneous data</text>** and their publication and sharing as **<text type="primary">Knowledge Graphs</text>** on the Web, using knowledge engineering, the Semantic Web and **<text type="primary">Linked Open Data</text>** technologies.
-I am a member of [[http://www.i3s.unice.fr/|I3S]] laboratory, and a member of [[https://www.inria.fr/|Inria]]'s [[https://team.inria.fr/wimmics/|Wimmics]] team.
+Member of [[http://www.i3s.unice.fr/|I3S]] laboratory, and [[https://www.inria.fr/|Inria]]'s [[https://team.inria.fr/wimmics/|Wimmics]] team.
+#KnowledgeGraph #RDF #GraphRAG
+#OpenScience #OpenData #FAIR
+#AttentionEconomy #Biodiversity
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 <panel type="default" title="Knowledge Graphs, Integration of Heterogeneous Data" icon="fa fa-house">
-I am involved in research activities meant to enable the **integration of heterogeneous data** based on a **knowledge engineering** approach, as well as the sharing and reuse of these data. My work addresses several research questions:
+My research deals with the integration of heterogeneous data based on a knowledge engineering approach and the construction of Knowledge Graphs. The goal is to overcome data structural and semantic heterogeneity in order to reconcile large, distributed data sets, and to publish them on the web.
-  * How to **build Knowledge Graphs** and **foster data reuse** by complying with the [[https://www.go-fair.org/fair-principles/|FAIR principles]]?
-  * How to **overcome data structural and semantic heterogeneity** in order to reconcile and make sense of large datasets distributed at Web-scale?
-  * How to **enable the Web-scale discovery and consumption of data**?
-  * How to **make sense of large scientific corpora** and **support Open Science** by allowing researcher to explore and visualize information extracted from research articles?
-  * How to "talk to the data" by translating natural language questions into queries in structured query languages such as SPARQL?
-  * How to enrich existing knowledge bases by extracted knowledge graphs from texts?
-These research questions are applied to various domains, in particular agronomy, agriculture and biodiversity, but also ancient literature and music.
+With the arisal of Large Language Models (LLM), I’m involved in new questions such as: How to “speak to the data” by translating natural language questions into SPARQL queries (text-to-SPARQL)? How to enrich existing knowledge bases by extracting knowledge graphs from text?
 </panel>
-<panel type="default" title="Research projects and communities " icon="fa fa-house">
+<panel type="default" title="Open Science" icon="fa fa-house">
+Relatedly, I actively participate in promoting the adoption of the [[https://www.unesco.org/en/open-science|Open Science]] practices, meant to spread the methods, results and products of scientific research, through the open access publishing, open data and the [[https://www.go-fair.org/fair-principles/|FAIR]] principles, and open source software.
+</panel>
+<panel type="default" title="Regulation of the Attention Economy" icon="fa fa-house">
+I’m conducting a research about regulating the Attention Economy, that is, the generalization of attention-capturing techniques by online platforms. Leveraging addictive design, cognitive biases and emotions, these platforms yield multiple detrimental side effects on human societies, such as causing public health issues, polarizing opinions, spreading false information, and threatening economies and democracies.
+</panel>
+<panel type="default" title="Research projects and communities " icon="fa fa-house">
 Here are some projects I am or was involved in:
+  * [[https://www.metabolinkai.net/|MetaboLinkAI]] (ANR): transforming metabolomics data into actionable insights through AI-powered, knowledge graph-driven solutions
   * [[https://issa.cirad.fr/|ISSA]] (Collex-Persée): Semantic Indexing of a Scientific archive and Associated Services
   * [[http://www.d2kab.org/|D2KAB]] (ANR): From Data to Knowledge in Agronomy, Agriculture and Biodiversity
@@ Line 38: / Line 43: @@
 Here are the community projects I'm currently involved in:
-  * [[https://bioschemas.org/|Bioschemas]]: Schema.org for Life Sciences
+  * [[https://cost-dkg.eu/|COST GOBLIN]]: COST action Global Open Knowledge Base Linking and Integration
+  * [[https://cost-dkg.eu/|COST DKG]]: COST action Distributed Knowledge Graphs
   * [[https://www.w3.org/community/kg-construct/|Knowledge Graph Construction W3C Community Group]]
+  * [[https://bioschemas.org/|Bioschemas]]: Schema.org for Life Sciences
 </panel>
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 {{url>https://www.youtube.com/embed/0InzhhZ6T5k 200,150 noscroll |YouTube player}}
-===== Open Data: creation/publication of open datasets =====
+===== Open Datasets Creation and publication =====
+=== Open data is one of the three pillars of Open Science. It enables transparency, collaboration and innovation by applying the FAIR principles, ensuring data is Findable, Accessible, Interoperable, and Reusable. ===
+Below are some of the open datasets I have participated in creating and/or publishing.
-Here are some open datasets in which creation and/or publication I participated to.
 **ISSA Agritrop Dataset**, Semantic index of the Agritrop open scientific archive.
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 **Wheat Observations Knowledge Graph**. Soft wheat phenotype observations data including the result of observation campaigns carried out on micro-parcels located in France between 1999 and 2015. Relies on the Plant Phenotype Experiment Ontology (PPEO) and the CO_321 Wheat Crop Ontology. 2024. [[https://doi.org/10.57745/FSWNRS|DOI]]
+**Number of public photos uploaded to Flickr from 2004 to 2021**. This dataset reports the number of photos uploaded to Flickr every day, hour by hour (CET) from 2004 to 2021. Only public photos are considered, private photos as well as other type of material (e.g. videos) are not accounted for.
+[[https://doi.org/10.5281/zenodo.6536164|DOI]] [[https://github.com/frmichel/flickr-statistics|github]]
+===== Open source Software Development =====
+=== Along with Open Data, Open Source software is a key pillar of Open Science, promoting transparency, reproducibility, and collaboration by making code freely available, shareable, and adaptable to support robust and verifiable research. ===
+**Gen²KGBot – Generic Generative Knowledge Graph Robot**: Yousouf Taghzouti, Franck Michel, Tao Jiang, Louis-Felix Nothias, Fabien Gandon (2025). [[https://github.com/Wimmics/gen2kgbot/|Github]]
-===== Software Development =====
+**Q²Forge – End-to-end pipeline to generate (question, SPARQL query) pairs for a given Knowledge Graph**. Yousouf Taghzouti, Franck Michel, Tao Jiang, Louis-Felix Nothias, Fabien Gandon (2025). [[https://github.com/Wimmics/q2forge|Github]]
 **ISSA visualization and search web application**: Franck MICHEL, Youssef Mekouar (2022).