An Introduction to Knowledge Management

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Domain-specific Knowledge Graphs: A survey
Bilal Abu-Salih · 2020 · Databases · AI summary available

Abstract
Knowledge Graphs (KGs) have made a qualitative leap and effected a real revolution in knowledge representation. This is leveraged by the underlying structure of the KG which underpins a better comprehension, reasoning and interpreting of knowledge for both human and machine. Therefore, KGs continue to be used as a main driver to tackle a plethora of real-life problems in dissimilar domains. However, there is no consensus on a plausible and definition to domain KG. Further, in conjunction with several limitations and deficiencies, various domain KG construction approaches are far from perfection. This survey is the first to provide an inclusive definition to the notion of domain KG. Also, a c…
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The Survey of Data Mining Applications And Feature Scope
Neelamadhab Padhy, Dr. Pragnyaban Mishra, Rasmita Panigrahi · 2012 · International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), Vol.2, No.3,page no-43 June · AI summary available

Abstract
In this paper we have focused a variety of techniques, approaches and different areas of the research which are helpful and marked as the important field of data mining Technologies. As we are aware that many Multinational companies and large organizations are operated in different places of the different countries.Each place of operation may generate large volumes of data. Corporate decision makers require access from all such sources and take strategic decisions.The data warehouse is used in the significant business value by improving the effectiveness of managerial decision-making. In an uncertain and highly competitive business environment, the value of strategic information systems such…
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Data Management in Microservices: State of the Practice, Challenges, and Research Directions
Rodrigo Laigner, Yongluan Zhou, Marcos Antonio Vaz Salles et al. · 2021 · Databases · AI summary available

Abstract
We are recently witnessing an increased adoption of microservice architectures by the industry for achieving scalability by functional decomposition, fault-tolerance by deployment of small and independent services, and polyglot persistence by the adoption of different database technologies specific to the needs of each service. Despite the accelerating industrial adoption and the extensive research on microservices, there is a lack of thorough investigation on the state of the practice and the major challenges faced by practitioners with regard to data management. To bridge this gap, this paper presents a detailed investigation of data management in microservices. Our exploratory study is ba…
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A Simplified Approach for Quality Management in Data Warehouse
Vinay Kumar, Reema Thareja · 2013 · Databases · Not summarized yet

Abstract
Data warehousing is continuously gaining importance as organizations are realizing the benefits of decision oriented data bases. However, the stumbling block to this rapid development is data quality issues at various stages of data warehousing. Quality can be defined as a measure of excellence or a state free from defects. Users appreciate quality products and available literature suggests that many organization`s have significant data quality problems that have substantial social and economic impacts. A metadata based quality system is introduced to manage quality of data in data warehouse. The approach is used to analyze the quality of data warehouse system by checking the expected value …
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Big Data: Challenges, Opportunities and Realities
Abhay Bhadani, Dhanya Jothimani · 2017 · Databases · AI summary available

Abstract
With the advent of Internet of Things (IoT) and Web 2.0 technologies, there has been a tremendous growth in the amount of data generated. This chapter emphasizes on the need for big data, technological advancements, tools and techniques being used to process big data are discussed. Technological improvements and limitations of existing storage techniques are also presented. Since, the traditional technologies like Relational Database Management System (RDBMS) have their own limitations to handle big data, new technologies have been developed to handle them and to derive useful insights. This chapter presents an overview of big data analytics, its application, advantages, and limitations. Few…
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Construction and Application of Teaching System Based on Crowdsourcing Knowledge Graph
Jinta Weng, Ying Gao, Jing Qiu et al. · 2020 · 4th China Conference on Knowledge Graph and Semantic Computing, CCKS 2019 · AI summary available

Abstract
Through the combination of crowdsourcing knowledge graph and teaching system, research methods to generate knowledge graph and its applications. Using two crowdsourcing approaches, crowdsourcing task distribution and reverse captcha generation, to construct knowledge graph in the field of teaching system. Generating a complete hierarchical knowledge graph of the teaching domain by nodes of school, student, teacher, course, knowledge point and exercise type. The knowledge graph constructed in a crowdsourcing manner requires many users to participate collaboratively with fully consideration of teachers' guidance and users' mobilization issues. Based on the three subgraphs of knowledge graph, p…
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DB-GPT: Empowering Database Interactions with Private Large Language Models
Siqiao Xue, Caigao Jiang, Wenhui Shi et al. · 2023 · Databases · AI summary available

Abstract
The recent breakthroughs in large language models (LLMs) are positioned to transition many areas of software. Database technologies particularly have an important entanglement with LLMs as efficient and intuitive database interactions are paramount. In this paper, we present DB-GPT, a revolutionary and production-ready project that integrates LLMs with traditional database systems to enhance user experience and accessibility. DB-GPT is designed to understand natural language queries, provide context-aware responses, and generate complex SQL queries with high accuracy, making it an indispensable tool for users ranging from novice to expert. The core innovation in DB-GPT lies in its private LL…
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Context-based Ontology Modelling for Database: Enabling ChatGPT for Semantic Database Management
Wenjun Lin, Paul Babyn, Yan yan et al. · 2023 · Databases · AI summary available

Abstract
This research paper explores the use of ChatGPT in database management. ChatGPT, an AI-powered chatbot, has limitations in performing tasks related to database management due to the lack of standardized vocabulary and grammar for representing database semantics. To address this limitation, the paper proposes a solution that involves developing a set of syntaxes that can represent database semantics in natural language. The syntax is used to convert database schemas into natural language formats, providing a new application of ChatGPT in database management. The proposed solution is demonstrated through a case study where ChatGPT is used to perform two tasks, semantic integration, and tables …

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