Results 11 to 20 of about 36,093 (262)

Building Character Graphs and Dividing Communities in Chinese Novels Based on Graph Data Extraction: Community Division for Character Emotional Polarity Networks

open access: yesIEEE Access, 2020
Chinese authors indirectly portray real social relationships in society by incorporating their own experiences and feelings about politics, economic life, and cultural habits. Social and natural knowledge are mixed and hidden in natural literary language.
Xiaolei Zhao   +5 more
doaj   +1 more source

AN EMPIRICAL COMPARISON OF NEO4J AND TIGERGRAPH DATABASES FOR NETWORK CENTRALITY

open access: yesScience Journal of University of Zakho, 2023
Graph databases have recently gained a lot of attention in areas where the relationships between data and the data itself are equally important, like the semantic web, social networks, and biological networks.
Bahzad Chicho   +1 more
doaj   +1 more source

Temporal RDF Modeling Based on Relational Database [PDF]

open access: yesJisuanji kexue, 2022
With the increase of temporal data,the concept of temporal knowledge graph is popularized,and how to represent temporal knowledge graph efficiently has become an important research direction.Although resource description framework(RDF) is widely used in ...
HAN Xiao, ZHANG Zhe-qing, YAN Li
doaj   +1 more source

Database Slicing on Relational Databases

open access: yesActa Cybernetica, 2014
Many software systems today use databases to permanently store their data. Testing, bug finding and migration are complex problems in the case of databases that contain many records. Here, our method can speed up these processes if we can select a smaller piece of the database (called a slice) that contains all of the records belonging to the slicing ...
Dávid Tengeri, Ferenc Havasi
openaire   +1 more source

AMANDA: A Middleware for Automatic Migration between Different Database Paradigms

open access: yesApplied Sciences, 2022
In a world rich in interconnected and complex data, the non-relational database paradigm can better handle large volumes of data at high speed with a scale-out architecture, which are two essential requirements for large industries and world-class ...
Jordan S. Queiroz   +7 more
doaj   +1 more source

Which Category Is Better: Benchmarking Relational and Graph Database Management Systems

open access: yesData Science and Engineering, 2019
Over decades, relational database management systems (RDBMSs) have been the first choice to manage data. Recently, due to the variety properties of big data, graph database management systems (GDBMSs) have emerged as an important complement to RDBMSs. As
Yijian Cheng   +4 more
doaj   +1 more source

KNOWLEDGE MODELING FOR A RELATIONAL DATABASE IN ONTOLOGY WEB LANGUAGE (OWL)

open access: yesTạp chí Khoa học Đại học Đà Lạt, 2017
This paper presents a knowledge modeling method by Ontology Web Language (OWL) for a relational database. The proposed method contains the rules for transforming data in a relational database into Ontology and Axioms for supplementing meaning of a ...
Huỳnh Tuấn Anh
doaj   +1 more source

THE OBJECT-ORIENTED DATABASES APPROACH REPRESENT A TYPICAL SOLUTION FOR INTEGRATED APPLICATIONS

open access: yesJournal of Kufa for Mathematics and Computer, 2010
numbers, short text, and dates. With the advent of powerful and affordable multimedia computers, people increasingly need databases to store more complex objects. Typical objects include graphics, sound, and video clips.
Yahya Mahdi Hadi Al-mayali
doaj   +1 more source

A Novel Automatic Relational Database Normalization Method

open access: yesActa Informatica Pragensia, 2022
The increase in data diversity and the fact that database design is a difficult process make it practically impossible to design a unique database schema for all datasets encountered.
Emre Akadal, Mehmet Hakan Satman
doaj   +1 more source

On Embeddings in Relational Databases

open access: yesCoRR, 2020
We address the problem of learning a distributed representation of entities in a relational database using a low-dimensional embedding. Low-dimensional embeddings aim to encapsulate a concise vector representation for an underlying dataset with minimum loss of information.
Siddhant Arora, Srikanta Bedathur
openaire   +2 more sources

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