Daqian Shi – Entity type recognition for KB extension (52:40)
The presentation will introduce a generic etype recognition algorithm via a set of novel property-based similarity metrics. The talk consists of two parts, the motivation of why we are doing etype recognition. We will first introduce related work in KG merging, KG completion, KG extension areas, and also existing methods for etype recognition, entity typing and ontology matching. We aim to localize our method and tell how our proposed method will help these areas. Then, the second part will focus on the implementation details and experiments we applied in our papers. Firstly, we discuss that the corresponding properties are used to implicitly describe etypes, which provides us with a novel insight for identifying etypes. Then we propose three metrics for measuring the contextual similarity between reference etypes and candidate etypes/entities. Based on our proposed metrics, we develop a generic ML-based algorithm for both schema-level and instance-level etype recognition.
Vincenzo Maltese – Catalouging experts by competences: the Digital University project (12:22)
Subject indexing of non-book resources International Conference
06/02/2023 Venue: Roma, Aula Odeion, Sapienza Università di Roma
Knowledge Organization methodologies are traditionally used to catalog bibliographic material. However, they also prove effective for the creation of controlled vocabularies, the cataloging and search of non-library resources (for example audio, video, museum items, etc.). I will present the experience gained at the University of Trento as part of the Digital University initiative. By applying Knowledge Organization, Knowledge Representation and Data Integration methodologies, we developed a system that allows indexing and searching experts by their competences (https://webapps.unitn.it/du/en/Esperti). The controlled vocabulary currently consists of about 3000 concepts in Italian and English, and is constantly growing. The vocabulary is managed by applying Ranganathan’s analytico-synthetic approach, and in particular the subdivision rule by genus-species. In Digital University, competences are only one of the metadata we use to describe people (for example, we also manage the name, surname, email and telephone contacts, affiliations, …). In turn, they are only one of the objects that we manage that include publications, theses, courses and research projects. The methodologies that enable these objects to be managed effectively and efficiently have been first presented at ISKO UK in 2013 and published in the Knowledge Organization journal in 2014 . The developed solution has been published in the CATALOGING & CLASSIFICATION QUARTERLY journal in 2019 .  Giunchiglia, Dutta, Maltese, “From Knowledge Organization to Knowledge Representation” in KNOWLEDGE ORGANIZATION, v. 2014, n. 41 (1) (2014), p. 44-56  Maltese, “Digital Transformation Challenges for Universities: Ensuring Information Consistency Across Digital Services” in CATALOGING & CLASSIFICATION QUARTERLY, v. 2019, 56, n. 7 (2019), p. 1-15. – https://www.tandfonline.com/doi/abs/10.1080/01639374.2018.1504847.
Yamini Chandrashekar – LiveLanguage – Catalogue and Services (34:05)
An introduciton to LiveLanguage project,comprising the catalogue for the datasets developed using our lexcial resource UKC and the other services for further using and developing these datatsets. The idea is to present the initial plans and the updates on the project.
Mayukh Bagchi – Representation Heterogeneity
The First International Workshop on Formal Models of Knowledge Diversity (FMKD), Joint Ontology WOrkshops (JOWO) (29:34)
Daqian Shi – Property-based Entity Type Graph Matching
This work  was published at The Sixteenth International Workshop on Ontology Matching. (About OM-2021)
 Giunchiglia, F. and Shi, D., 2021. Property-based Entity Type Graph Matching. arXiv preprint arXiv:2109.09140
Fausto Giunchiglia – Stratified Data Integration
Find slides | Introduction of SemTech2020
Simone Bocca – iTelos
KnowDive Seminars (1:13:58)
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Mattia Fumagalli – Entity Type Recognition — dealing with the Diversity of Knowledge
KR 2020 (15:17)
Find the paper | More information about KR 2020