Results 111 to 120 of about 4,106 (250)

Schema Inference for Massive JSON Datasets.

, 2017
In the recent years JSON affirmed as a very popular data format for representing massive data collections. JSON data collections are usually schemaless. While this ensures several advantages, the absence of schema information has important negative consequences: the correctness of complex queries and programs cannot be statically checked, users cannot ...
Baazizi, Mohamed-Amine, Ben Lahmar, Houssem, Colazzo, Dario, Ghelli, Giorgio, Sartiani, Carlo   +4 more
openaire   +2 more sources

bowtie-json-schema/bowtie: v2023.07.2

, 2023
Full Changelog: https://github.com/bowtie-json-schema/bowtie/compare/v2023.07.1...v2023.07.
Julian Berman, Greg Dennis, harrel56, Vishrut Aggarwal, Anish Kshirsagar, Noman Dhoni, Agnivesh Chaubey, Akanksha Kushwaha, Santhosh Kumar Tekuri, Jason Desrosiers   +9 more
core   +1 more source

Ground‐based robotic remote sensing for standardized biodiversity monitoring in coastal habitats

Remote Sensing in Ecology and Conservation, EarlyView.
Illustrated workflow of the proposed citizen‐to‐robot monitoring pipeline: (i) expert‐validated citizen observations are translated into AI models, (ii) deployed on a ground‐based robotic platform for proximal sensing of coastal dune habitats, (iii) enabling standardized detection of ecological targets (e.g., Pancratium maritimum & Brithys crini), and (
Giovanni Di Lorenzo, Simonetta Bagella, Micaela del Valle Rasino, Maria Laura Carranza, Manolo Garabini, Franco Angelini   +5 more
wiley   +1 more source

Query Completion for Small-Scale Distributed Databases in PostgreSQL and MongoDB [PDF]

Database Systems Journal
Relational/SQL and document/JSON data stores are competing but complementary technologies in OLAP (On-Line Analytical Processing) systems. Whereas traditional approaches for performance comparison use query execution time, this paper compares two ...
Marin FOTACHE, Catalina BADEA, Marius-Iulian CLUCI, Codrin-Stefan ESANU   +3 more
doaj  

Comparative Evaluation of GPT-4o, GPT-OSS-120B and Llama-3.1-8B-Instruct Language Models in a Reproducible CV-to-JSON Extraction Pipeline

Applied Sciences
Recruitment automation increasingly relies on Large Language Models (LLMs) for extracting structured information from unstructured CVs and job postings.
Marcin Nawalny, Mateusz Łępicki, Tomasz Latkowski, Sebastian Bujak, Michał Bukowski, Bartosz Świderski, Grzegorz Baranik, Bogusz Nowak, Robert Zakowicz, Łukasz Dobrakowski, Agnieszka Oczeretko, Piotr Sadowski, Konrad Szlaga, Bartłomiej Kubica, Jarosław Kurek   +14 more
doaj   +1 more source

bowtie-json-schema/bowtie: v2023.09.9

, 2023
Full Changelog: https://github.com/bowtie-json-schema/bowtie/compare/v2023.09.8...v2023.09.
Oleg Smirnov, Vishrut Aggarwal, Anish Kshirsagar, Noman Dhoni, Agnivesh Chaubey, Akanksha Kushwaha, Jason Desrosiers, Julian Berman, Greg Dennis, harrel56, Kiran Tammana, David Harsha, Martin Hauner, Santhosh Kumar Tekuri   +13 more
core   +1 more source

AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development

Sustainable Development, EarlyView.
ABSTRACT Construction and demolition waste (C&DW) represents up to 40% of global solid waste, posing a significant barrier to achieving circular economy (CE) objectives and the Sustainable Development Goals (SDGs), particularly SDG 11 and SDG 12. However, construction waste management (CWM) systems remain constrained by fragmented data environments ...
Mohamed T. Elnabwy, Pablo Martinez
wiley   +1 more source

bowtie-json-schema/bowtie: v2023.07.4

, 2023
Full Changelog: https://github.com/bowtie-json-schema/bowtie/compare/v2023.07.3...v2023.07.
Julian Berman, Greg Dennis, harrel56, Vishrut Aggarwal, Anish Kshirsagar, Noman Dhoni, Agnivesh Chaubey, Akanksha Kushwaha, Santhosh Kumar Tekuri, Jason Desrosiers   +9 more
core   +1 more source

A Context‐Aware Decision Support Framework for Scientific Experiment Configuration

Software: Practice and Experience, EarlyView.
ABSTRACT Introduction Defining an experimental configuration is a complex decision problem for early‐stage researchers, who must map goals, constraints, and requirements onto datasets, algorithms, and parameter settings that directly affect experimental outcomes.
Pouriya Miri, Vlado Stankovski, Kristina Veljković, Petar Kochovski   +3 more
wiley   +1 more source

From Bench to Brain: A Metadata-driven Approach to Research Data Management in a Collaborative Neuroscientific Research Center

Data Science Journal
Research data management (RDM) is key to fast and effective cooperation in collaborative research projects, especially when several scientific disciplines are involved.
Marlene Pacharra, Tobias Otto, Nina Olivia Caroline Winter   +2 more
doaj   +1 more source