A systematic map** study on open information extraction
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 …
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
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 …
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
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 …
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 …
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
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 …
the geoscience literature and rarely used. Named entity recognition (NER) provides both …
A big data framework for E-Government in Industry 4.0
The next generation of E-Government and healthcare has the potential to increase the more
intelligent governance with improvements in transparency, accountability, efficiency, and …
intelligent governance with improvements in transparency, accountability, efficiency, and …
Automatic schema suggestion model for NoSQL document-stores databases
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 …
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
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 …
continuous flow of unstructured data with unwanted noise may bring abnormality in the …
KAER: A Knowledge Augmented Pre-Trained Language Model for Entity Resolution
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 …
decades. Existing work has discussed the feasibility of utilizing pre-trained language models …