A systematic map** study on open information extraction

R Glauber, DB Claro - Expert Systems with Applications, 2018 - Elsevier
Open information extraction (Open IE) is a task for extracting relationship triples in plain texts
without previously determining these relationships. The Open IE systems are generally …

Emergence of big data research in operations management, information systems, and healthcare: Past contributions and future roadmap

S Guha, S Kumar - Production and Operations Management, 2018 - journals.sagepub.com
In this day, in the age of big data, consumers leave an easily traceable digital footprint
whenever they visit a website online. Firms are interested in capturing the digital footprints of …

How research in production and operations management may evolve in the era of big data

Q Feng, JG Shanthikumar - Production and Operations …, 2018 - journals.sagepub.com
We are living in an era in which data is generated in huge volume with high velocity and
variety. Big Data and technology are resha** our life and business. Our research …

Natural language processing-enhanced extraction of SBVR business vocabularies and business rules from UML use case diagrams

P Danenas, T Skersys, R Butleris - Data & Knowledge Engineering, 2020 - Elsevier
Discovery, specification and proper representation of various aspects of business
knowledge plays crucial part in model-driven information systems engineering, especially …

GNER: A generative model for geological named entity recognition without labeled data using deep learning

Q Qiu, Z **e, L Wu, L Tao - Earth and Space science, 2019 - Wiley Online Library
A variety of detailed data about geological topics and geoscience knowledge are buried in
the geoscience literature and rarely used. Named entity recognition (NER) provides both …

A big data framework for E-Government in Industry 4.0

CK Long, R Agrawal, HQ Trung, HV Pham - Open Computer Science, 2021 - degruyter.com
The next generation of E-Government and healthcare has the potential to increase the more
intelligent governance with improvements in transparency, accountability, efficiency, and …

Automatic schema suggestion model for NoSQL document-stores databases

AA Imam, S Basri, R Ahmad, J Watada… - Journal of Big Data, 2018 - Springer
New generation databases also called NoSQL (Not only SQL) databases are highly
scalable, flexible, and low-latent. These types of databases emerge as a result of the rigidity …

Veracity handling and instance reduction in big data using interval type-2 fuzzy sets

AK Shukla, M Yadav, S Kumar, PK Muhuri - Engineering Applications of …, 2020 - Elsevier
Within the aspect of big data, veracity refers to the existing uncertainty in the dataset. The
continuous flow of unstructured data with unwanted noise may bring abnormality in the …

KAER: A Knowledge Augmented Pre-Trained Language Model for Entity Resolution

L Fang, L Li, Y Liu, VI Torvik, B Ludäscher - arxiv preprint arxiv …, 2023 - arxiv.org
Entity resolution has been an essential and well-studied task in data cleaning research for
decades. Existing work has discussed the feasibility of utilizing pre-trained language models …