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ADBIS 2023 - No Intelligence Without Knowledge

Keynote on Youtube -> https://youtu.be/DZ6NlcW4YV8?si=4Z5zDA1Vx_D10GKz No Intelligence Without Knowledge Katja Hose TU Wien, Austria Abstract. Knowledge graphs and graph data in general are becoming more and more essential components of intelligent systems. This does not only include native graph data, such as social networks or Linked Data on the Web. The flexibility of the graph model and its ability to store data relationships explicitly enables the integration and exploitation of data from very diverse sources. However, to truly exploit their potential, it becomes crucial to provide intelligent systems with verifiable knowledge, reliable facts, patterns, and a deeper understanding of the underlying domains. This talk will therefore chart a number of challenges for exploiting graphs to manage and bring meaning to large amounts of heterogeneous data and discuss opportunities with, without, and for artificial intelligence emerging from research situated at the confluence of data m...

Uso das Tecnologias da Web Semântica na Construção de Grafos de Conhecimento Semântico baseado no Enfoque Híbrido

@inproceedings{inproceedings, author = {Vidal, Tulio and Viktor, Caio and Avila, S and Mariano, Roberval and Calixto, Tainan and Ivo, Pedro and Filho, JosĂ© and Brayner, Ă‚ngelo and Vidal, Maria }, year = {2021}, month = {11}, pages = {}, title = {Uso das Tecnologias da Web Semântica na Construção de Grafos de Conhecimento Semântico baseado no Enfoque HĂ­brido} } Evento: ONTOBRAS 2021 1. Introdução Grafos de Conhecimento Semântico (GCS)  ́e um novo paradigma que está sendo usado para consolidar e integrar semanticamente um grande n ́umero de dados advindos de fontes de dados heterogĂŞneas. [De onde vem a definição de KG Semântico?] Um elemento chave de um GCS  Ă© a ontologia de domĂ­nio que permite combinar e enriquecer informações armazenadas em fontes de dados em uma visĂŁo unificada, que representa nĂŁo apenas como os dados sĂŁo organizados, mas tambĂ©m qual Ă© o seu significado pretendido. AlĂ©m de facilitar a integração de fontes de dados heterogĂŞneas, o uso de ontologias provĂŞ uma r...

New OpenLink Virtuoso hosted Wikidata Knowledge Graph

WD de Dezembro de 2022 From: Kingsley Idehen <kidehen@openlinksw.com> Subject: Announce: New OpenLink Virtuoso hosted Wikidata Knowledge Graph Release Date: 11 January 2023 17:51:49 GMT-3 To: wikidata@lists.wikimedia.org, "public-lod@w3.org" <public-lod@w3.org> Resent-From: public-lod@w3.org All, We are pleased to announce immediate availability of an new Virtuoso-hosted Wikidata instance based on the most recent datasets. This instance comprises 17 billion+ RDF triples. Host Machine Info: Item     Value CPU         2x Intel(R) Xeon(R) CPU E5-2630 0 @ 2.30GHz Cores    24 Memory    378 GB SSD        4x Crucial M4 SSD 500 GB Cloud related costs for a self-hosted variant, assuming:     dedicated machine for 1 year without upfront costs     128 GiB memory     16 cores or more     512GB SSD for the database ...

Modeling and Contextualizing Claims - Leitura de Artigo

Boland, K., Fafalios, P., Tchechmedjiev, A., Todorov, K., & Dietze, S. (2019). Modeling and Contextualizing Claims. BlockSW/CKG@ISWC. Abstract. Understanding societal debates on the Web and how they are impacted by the spread of biased narratives and falsehoods are becoming increasingly important issues. The notion of a claim is central in a number of related studies into fake-news propagation or computational fact-checking. While the understanding of this notion varies from one field to another, there are few studies that have focused on the conceptual modeling of claims and their context. We attempt to contribute to this area by proposing a novel conceptual model for claims and related notions, such as attitudes, reviews and annotations, that aims to take into consideration the claims inherent complexity, distinguishing between their meaning, linguistic representation and context. [Modelagem das Alegações e do Contexto associado] We provide an example of an implementation of this...