{"id":276,"date":"2023-01-21T22:46:31","date_gmt":"2023-01-21T22:46:31","guid":{"rendered":"https:\/\/aiccsa.net\/AICCSA2023\/?page_id=276"},"modified":"2023-05-09T20:05:40","modified_gmt":"2023-05-09T20:05:40","slug":"track-3","status":"publish","type":"page","link":"https:\/\/aiccsa.net\/AICCSA2023\/tracks-and-subtopics\/track-3\/","title":{"rendered":"Track 3"},"content":{"rendered":"\t\t
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Track 3: Data Science, knowledge engineering, and ontologies (including Information Retrieval, Big Data, Databases and Knowledge Systems)<\/strong><\/span><\/p>

Track chairs:<\/strong><\/span><\/p>

  • Sana Sellami<\/strong>, Aix Marseille University LIS Laboratory, France<\/span><\/li>
  • Mohamed Reda Bouadjenek<\/strong>, Deakin University, Australia<\/span><\/li><\/ul>

    Scope<\/strong><\/span><\/p>

    The Data science, Knowledge Engineering, and Ontologies Track welcomes submissions of original, high-quality research related to data analytics, the extraction of information, the analysis, recommendation, and mining of data content. We also encourage submissions that explore how people understand, engage and interact with data content through Information Retrieval, including discovery, recommendations or question answering, and Big Data, Databases and Knowledge Systems. Research on both theoretical and applied aspects of data science and Knowledge Engineering-related tasks is encouraged.<\/span><\/p>

    Topics<\/strong><\/span>
    The topics of interest of the track include, but are not limited to:<\/span><\/p>

    – Data science<\/span>
    \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0– Advanced data analytics<\/span>
    \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0– Machine learning and data science ( Learning representations and features from data, Machine learning algorithms for large-scale content mining)<\/span>
    \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0– Data cleaning<\/span>
    \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0– Data visualization<\/span>
    – Information Search and Retrieval<\/span>
    \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 – Query and document analysis, representation and understanding<\/span>
    \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 – Web search models, and ranking<\/span>
    \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 – Web recommender systems<\/span>
    \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 – Evaluation methodologies and metrics<\/span>
    – Knowledge engineering, and ontologies<\/span>
    \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 – Ontologies and semantics <\/span>
    \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 – Techniques for the creation, curation, publication and consumption of Knowledge Graphs, including Methods for Developing and Maintaining Shared Vocabularies\/Ontologies<\/span>
    \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0– Data Modeling and Inference<\/span>
    \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0– Explanations and User-friendly Interaction<\/span>
    \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0– Exploitation of Semantic Data for Machine Learning Tasks<\/span><\/p>

    Examples of application areas :<\/strong><\/span>
    \u2022 Healthcare<\/span>
    \u2022 Social sciences<\/span>
    \u2022 Recommender platforms<\/span>
    \u2022 Logistics<\/span>
    \u2022 Transportation<\/span>
    \u2022 Urban planning<\/span>
    \u2022 Resource management (energy, water, air quality, waste management<\/span><\/p>

    Program Committee:<\/strong><\/span><\/p>
    Javier Alfonso<\/span><\/td>Espinosa-Oviedo<\/span><\/td>University of Lyon, France<\/span><\/td><\/tr>
    Martin<\/span><\/td>Musicante<\/span><\/td>Federal University of Rio Grande do Norte, Brazil<\/span><\/td><\/tr>
    Zafaryab<\/span><\/td>Rasool<\/span><\/td>Deakin University, Australia<\/span><\/td><\/tr>
    Ming<\/span><\/td>Liu<\/span><\/td>Deakin University, Australia<\/span><\/td><\/tr>
    Ji<\/span><\/td>Liu<\/span><\/td>Baidu Research, USA<\/span><\/td><\/tr>
    Frederic<\/span><\/td>Flouvat<\/span><\/td>Aix Marseille University, France<\/span><\/td><\/tr>
    Abderrahmane<\/span><\/td>Maaradji<\/span><\/td>University Paris-Sorbone, France<\/span><\/td><\/tr>
    Guermazi<\/span><\/td>Yassine<\/span><\/td>Aix Marseille University, France<\/span><\/td><\/tr>
    Sicong<\/span><\/td>Shao<\/span><\/td>University of Arizona, USA<\/span><\/td><\/tr>
    Ngoc Dung<\/span><\/td>Huynh<\/span><\/td>Deakin University, Australia<\/span><\/td><\/tr>
    Dhiraj<\/span><\/td>Neupane<\/span><\/td>Deakin University, Australia<\/span><\/td><\/tr>
    Khondaker<\/span><\/td>Tasrif Noor<\/span><\/td>Deakin University, Australia<\/span><\/td><\/tr>
    Lakpa<\/span><\/td>Tamang<\/span><\/td>Deakin University, Australia<\/span><\/td><\/tr>
    Mohammed<\/span><\/td>Belgoumri<\/span><\/td>Deakin University, Australia<\/span><\/td><\/tr>
    Muna<\/span><\/td>Al-Hawawreh<\/span><\/td>Deakin University, Australia<\/span><\/td><\/tr>
    Hakim<\/span><\/td>Hacid<\/span><\/td>Technology Innovation Institue, UAE<\/span><\/td><\/tr>
    Bahareh<\/span><\/td>Nakisa<\/span><\/td>Deakin University, Australia<\/span><\/td><\/tr>
    Jos\u00e9 Luis<\/span><\/td>Zechinelli Martini<\/span><\/td>Universidad de las Amricas – Puebla, Mexico<\/span><\/td><\/tr>
    Mustapha<\/span><\/td>Lebbah<\/span><\/td>University Paris-Saclay, France<\/span><\/td><\/tr>
    Sandro<\/span><\/td>Bimonte<\/span><\/td>TSCF, INRAE Clermont-Ferrand, France<\/span><\/td><\/tr>
    Ali<\/span><\/td>Akoglu<\/span><\/td>University of Arizona, USA<\/span><\/td><\/tr><\/tbody><\/table>

    \u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

    Track 3: Data Science, knowledge engineering, and ontologies (including Information Retrieval, Big Data, Databases and Knowledge Systems) Track chairs: Sana Sellami, Aix Marseille University LIS Laboratory, France Mohamed Reda Bouadjenek, Deakin University, Australia Scope The Data science, Knowledge Engineering, and Ontologies Track welcomes submissions of original, high-quality research related to data analytics, the extraction of […]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":45,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"0","ocean_second_sidebar":"0","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"0","ocean_custom_header_template":"0","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"0","ocean_menu_typo_font_family":"0","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"0","footnotes":""},"class_list":["post-276","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/aiccsa.net\/AICCSA2023\/wp-json\/wp\/v2\/pages\/276","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aiccsa.net\/AICCSA2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aiccsa.net\/AICCSA2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aiccsa.net\/AICCSA2023\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/aiccsa.net\/AICCSA2023\/wp-json\/wp\/v2\/comments?post=276"}],"version-history":[{"count":25,"href":"https:\/\/aiccsa.net\/AICCSA2023\/wp-json\/wp\/v2\/pages\/276\/revisions"}],"predecessor-version":[{"id":822,"href":"https:\/\/aiccsa.net\/AICCSA2023\/wp-json\/wp\/v2\/pages\/276\/revisions\/822"}],"up":[{"embeddable":true,"href":"https:\/\/aiccsa.net\/AICCSA2023\/wp-json\/wp\/v2\/pages\/45"}],"wp:attachment":[{"href":"https:\/\/aiccsa.net\/AICCSA2023\/wp-json\/wp\/v2\/media?parent=276"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}