{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":1,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":14,"n_cols":5,"rows_kept":14,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[3,2,3,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[9,2,9,3],[10,2,10,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910580195303321"]
[null,null,"Titolo",null,"PODS '22 : proceedings of the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems : June 12-17, 2022, Portland, OR, USA / / organizers, Leonid Libkin, Pablo Barceló, Alejandro Grez"]
[null,null,"Pubbl/distr/stampa",null,"New York : , : Association for Computing Machinery, , 2022"]
[null,null,"Descrizione fisica",null,"1 online resource (462 pages) : illustrations"]
[null,null,"Collana",null,"ACM Conferences"]
[null,null,"Disciplina",null,"005.74"]
[null,null,"Soggetti",null,"Database management"]
[{"$nulls":4},"Computer science"]
[{"$nulls":4},"Data management"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,null,"Sommario/riassunto","It is our great pleasure to welcome you to the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS 2022), held in Philadelphia, Pennsylvania, USA, on June 13 - June 15, 2022. As usual, PODS is held in conjunction with its sister conference, the 2022 ACM SIGMOD International Conference on Management of Data.Since the first edition of the symposium in 1982, PODS provides a premier annual forum for the communication of new advances in the theoretical foundations of data management. The PODS community aims to provide a solid scientific basis for methods, techniques and solutions for the data management problems that continually arise in our data-driven society. Our goal is to develop solutions that ensure a high level of efficiency, scalability, expressiveness, robustness, flexibility, security, and privacy, among others. In addition, the PODS community is an open space in which researchers from various areas related to the principles of computer science can discuss, interact, and propose solutions to pressing data management problems."]