Oracle

By F. Lens, Tristan Legranché, S. Buisson, Michaël Desnoyelles. SIGGRAPH ASIA Computer Animation Festival, 2008

699 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/07cfdf00f3b31f2cfd8755e2cb8308458689ddb2

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Citations in the corpus

ADMSv2: A Modern Architecture for Transportation Data Management and Analysis (2019, methodology): “ADMS is backed by the Oracle Spatial RDBMS [8], which can efficiently process a variety of real-time and historical spatiotemporal queries by leveraging the state-of-the-art index structures implemented in the RDBMS.”
Conversational AI: Social and Ethical Considerations (2019, background): “A survey (n=800) of marketing professionals by Oracle found 36% of brands surveyed had implemented chatbots for customer service with an increase to 80% expected by 2020 [37].”
Deep Just-In-Time Inconsistency Detection Between Comments and Source Code (2020, background): “API documentation consists of two components: a main description and a set of tag comments (Oracle 2020).”
A conceptual view on trajectories (2008, methodology): “HERMES is a new data cartridge that exploits Oracle’s static spatial data types [23] and temporal literal types (provided by the TAU-TLL temporal data cartridge [28]).”
Blockchain distributed ledger technologies for biomedical and health care applications (2017, background): “To better understand why blockchain distributed ledger technology may be feasible for biomedical and health care applications, we describe the key benefits or comparative advantages of block-chain 45,46,63–65 by comparing it with the traditional distributed database management system (DDBMS), 66,67 ”
bLSM: a general purpose log structured merge tree (2012, background): “BitCask [33], BDB-JE [26] and Primebase [2] are contemporary examples in the key value and database space.”
Unikernels: library operating systems for the cloud (2013, unknown): “The desire to apply type-safety in the OS is not new: type-safe OSs have been built in a range of languages including Haskell [33, 34], Java [35], Standard ML [21], C#/.”
PebblesDB: Building Key-Value Stores using Fragmented Log-Structured Merge Trees (2017, methodology): “Embedded databases such as KyotoCabinet [32] and Berke-leyDB [45] are typically implemented using B+ Trees [14].”