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TopoGraph: an End-To-End Framework to Build and Analyze Graph Cubes
Graphs are a fundamental structure that provides an intuitive abstraction for modeling and analyzing complex and highly interconnected data. Given...
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Database Management Systems (DBMS)
A database management system (DBMS) is a software that implements functions to organize the storage and retrieval of data in databases according to a... -
A semantic-driven tradespace framework to accelerate aircraft manufacturing system design
During the design phase of an aircraft manufacturing system, different industrial scenarios need to be evaluated according to key performance...
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Content Analysis Based on Knowledge Graph: A Practice on Chinese Construction Contracts
The objective of this research is to present an innovative technique of extracting and presenting knowledge in construction documents. A construction... -
Exploring Enterprise Architecture Knowledge Graphs in Archi: The EAKG Toolkit
This paper presents the EAKG Toolkit that entails a new Knowledge Graph-based representation of enterprise architecture (EA) models and further... -
Detecting anomalous cryptocurrency transactions: An AML/CFT application of machine learning-based forensics
In sha** the Internet of Money, the application of blockchain and distributed ledger technologies (DLTs) to the financial sector triggered...
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Column generation-based algorithm for fragment allocation: minimizing query splitting in distributed databases
This paper focuses on the fragment allocation problem in distributed databases and proposes an approach that minimizes query splitting. Query...
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IT Infrastructure for Smart City: Issues and Challenges in Migration from Relational to NoSQL Databases
Smart city applications collect massive amount of data from various types of IoT sensors, engines, and people. Most of the data generated are... -
Service Dependency Graph Analysis in Microservice Architecture
Since microservices have become popular, we see increasingly complex service architectures emerging. Microservice systems, while being well scalable,... -
Analytic Processing in Data Lakes: A Semantic Query-Driven Discovery Approach
Data integration and discovery are open issues in Data Lakes potentially storing hundreds of data sources. The present paper addresses these issues...
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Skyline-based Exploration of Temporal Property Graphs
In this paper, we focus on temporal property graphs, that is, property graphs whose labeled nodes and edges as well as the values of the properties...
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An Architecture for Data Unification in E-commerce using Graph
Graph model has emerged as a contemporary technique for relationship-centric applications because of its various features like index-free adjacency,... -
Model-to-Model Transformation
Conceptual schemas are the basis to build well-grounded Information Systems, by representing the main concepts of a domain of knowledge, as well as...
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An Ostensive Information Architecture to Enhance Semantic Interoperability for Healthcare Information Systems
Semantic interoperability establishes intercommunications and enables data sharing across disparate systems. In this study, we propose an ostensive...
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Summary of Research on Contract Risk Management of EPC General Contracting Project—Based on VOSviewer Knowledge Graph Analysis
With the improvement of China’s urbanization level and the development of the socialist market economy, the construction engineering industry is also... -
Exploring the U.S. Securities and Exchange Commission’s Edgar database by sampling joint venture contracts
Through its electronic filing system EDGAR, the U.S. Securities and Exchange Commission (SEC) provides information that listed companies are required...
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Planning a zero-emission mixed-fleet public bus system with minimal life cycle cost
The variety of available technology options for the operation of zero-emission bus systems gives rise to the problem of finding an optimal technology...
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Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study
Large Language Models (LLMs) are capable of answering questions in natural language for various purposes. With recent advancements (such as GPT-4),... -
LADDERS: Log Based Anomaly Detection and Diagnosis for Enterprise Systems
Enterprise software can fail due to not only malfunction of application servers, but also due to performance degradation or non-availability of other...
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The Blueprint of Data Intelligence Based on Factor Space Theory
Data intelligence is the core task of the information revolution entering the Internet era. It brings opportunities, but also makes human...