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Arijit Khan. 2023. Knowledge Graphs Querying. SIGMOD Rec. 52, 2 (June 2023), 18–29. https://doi.org/10.1145/3615952.3615956 ABSTRACT Querying KGs is critical in web search, question answering (QA), semantic search, personal assistants, fact checking, and recommendation. [Sistemas / tarefas onde consulta aos KGs é usada] First, research on KG querying has been conducted by several communities, such as databases, data mining, semantic web, machine learning, information retrieval, and natural language processing (NLP), with different focus and terminologies; and also in diverse topics ranging from graph databases, query languages, join algorithms, graph patterns matching, to more sophisticated KG embedding and natural language questions (NLQs). [Diversas perspectivas sobre os problemas que as consultas em KG trazem] Second, many recent advances on KG and query embedding, multimodal KG, and KG-QA come from deep learning, IR, NLP, and computer vision domains.  [De quais comunidades estã...

@article{PG-Schemas2023, author = {Angles, Renzo and Bonifati, Angela and Dumbrava, Stefania and Fletcher, George and Green, Alastair and Hidders, Jan and Li, Bei and Libkin, Leonid and Marsault, Victor and Martens, Wim and Murlak, Filip and Plantikow, Stefan and Savkovic, Ognjen and Schmidt, Michael and Sequeda, Juan and Staworko, Slawek and Tomaszuk, Dominik and Voigt, Hannes and Vrgoc, Domagoj and Wu, Mingxi and Zivkovic, Dusan}, title = {PG-Schema: Schemas for Property Graphs}, year = {2023}, issue_date = {June 2023}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, volume = {1}, number = {2}, url = {https://doi.org/10.1145/3589778}, doi = {10.1145/3589778}, journal = {Proc. ACM Manag. Data}, month = {jun}, articleno = {198}, numpages = {25}, keywords = {property graphs, schemas, graph databases} } ABSTRACT   Property graphs have reached a high level of maturity, witnessed by multiple robust graph database systems as well as the ongoing ISO stan...