(1) (PDF) INFORMATION SEEKING BEHAVIOR: AN OVERVIEW. Available from: https://www.researchgate.net/publication/330521546_INFORMATION_SEEKING_BEHAVIOR_AN_OVERVIEW [accessed Apr 26 2022]. 2.1 MEANING (OF INFORMATION) Information as a process: When someone is informed, what they know is changed. In this change “Information is the act of information communication of the knowledge or new of some fact or occurrence; the act of telling fact or fact of being told of something. [Aqui basta ser exposto a informação que isso já vira conhecimento, não requer ação] Information as knowledge: Information is also used to denote that which is perceived in information as aprocess; the knowledge communicated concerning some particular fact, subject or event; that of which one is appraised or told, intelligence, news. [Aqui a informação já carrega conhecimento] Information as a thing: the term Information is also used attributively for objects like documents that are referred to as information they are re
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Hogan, A. (2020). Knowledge Graphs: Research Directions. In: Manna, M., Pieris, A. (eds) Reasoning Web. Declarative Artificial Intelligence. Reasoning Web 2020. Lecture Notes in Computer Science(), vol 12258. Springer, Cham. https://doi.org/10.1007/978-3-030-60067-9_8 Abstract. We discuss six high-level concepts relating to knowledge graphs: data models, queries, ontologies, rules, embeddings and graph neural networks. 1 Introduction However, underlying all such perspectives is the foundational idea of representing knowledge using a graph abstraction, with nodes representing entities of interest in a given domain, and edges representing relations between those entities. ... Knowledge can consist of simple assertions, such as Charon orbits Pluto, which can be represented as directed labelled edges in a graph. Knowledge may also consist of quantified assertions, such as all stellar planets orbit stars, which require a more expressive formalism to capture, such
Marcelo Arenas, Claudio Gutierrez, and Juan F. Sequeda. 2021. Querying in the Age of Graph Databases and Knowledge Graphs. Proceedings of the 2021 International Conference on Management of Data. Association for Computing Machinery, New York, NY, USA, 2821–2828. DOI:https://doi.org/10.1145/3448016.3457545 SIGMO21 ABSTRACT Graphs have become the best way we know of representing knowledge. ... Graph databases and knowledge graphs surface as the most successful solutions to this program. ... *DBLP 2015 2 DATABASES, GRAPHS AND KNOWLEDGE GRAPHS Knowledge, as understood e.g. in “knowledge representation”, “knowledge base” or “knowledge graph”, is a notion coming from the tradition of (formal) reasoning, and encompasses both, objects that statically represent knowledge (books, maps,charts, theorems, scientific laws, etc.), and mechanisms to dynamically obtain, deduce, or infer new knowledge from known premises or inputs (deductive systems, reasoners, neural networks, etc.). In fact, it is deve
Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam: A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases. CoRR abs/2201.05793 (2022) Abstract Knowledge Base Question Answering (KBQA) tasks that involve complex reasoning are emerging as an important research direction. However, most existing KBQA datasets focus primarily on generic multi-hop reasoning over explicit facts, largely ignoring other reasoning types such as temporal, spatial, and taxonomic reasoning. [Reasoning no sentido de inferir qual é o contexto de interesse] In this paper, we present a benchmark
GitHub https://github.com/Perevalov/qald_9_plus Apresentação no Youtube https://www.youtube.com/watch?v=W1w7CJTV48c Artigo https://arxiv.org/pdf/2202.00120v2.pdf 16th IEEE International Conference on SEMANTIC COMPUTING - ICSC 2022 January 26-28, 2022 Virtual QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers O artigo descreve a criação do dataset para benchmark de KGQA/KBQA usando o dataset original QALD-9 que continha perguntas em inglês que foram traduzidas automaticamente para outros idiomas com modelos de linguagem. Usaram "trabalhadores" para traduzir as perguntas e respostas para outras lÃnguas. O QALD-9 original é sobre a DBPedia e "51 of the DBpedia queries were not transferable to Wikidata due to lack of corresponding data." Os KGs são incompletos, ou melhor, cobrem diferentes aspectos do mundo. Sobre outros datasets para benchmark QALD-9 contains 558 questions incorporating information of th