Specifying architecture of knowledge graph with data graph, information graph, knowledge graph and wisdom graph

  title={Specifying architecture of knowledge graph with data graph, information graph, knowledge graph and wisdom graph},
  author={Yucong Duan and Lixu Shao and Gongzhu Hu and Zhangbing Zhou and Quan Zou and Zhaoxin Lin},
  journal={2017 IEEE 15th International Conference on Software Engineering Research, Management and Applications (SERA)},
  • Yucong DuanLixu Shao Zhaoxin Lin
  • Published 7 June 2017
  • Computer Science
  • 2017 IEEE 15th International Conference on Software Engineering Research, Management and Applications (SERA)
Knowledge graphs have been widely adopted, in large part owing to their schema-less nature. It enables knowledge graphs to grow seamlessly and allows for new relationships and entities as needed. Knowledge graph has become a powerful tool to represent knowledge in the form of a labelled directed graph and to give semantics to textual information. A knowledge graph is a graph constructed by representing each item, entity and user as nodes, and linking those nodes that interact with each other… 

Figures and Tables from this paper

Specifying Knowledge Graph with Data Graph, Information Graph, Knowledge Graph, and Wisdom Graph

The authors clarify the architecture of knowledge graph from data, information, knowledge, and wisdom aspects respectively and propose to specify knowledge graph in a progressive manner as four basic forms including data graph, information graph, knowledge graph and wisdom graph.

Learning Planning and Recommendation Based on an Adaptive Architecture on Data Graph, Information Graph and Knowledge Graph

This paper proposes a three-layer architecture composing Data Graph, Information Graph and Knowledge Graph which can automatically abstract and adjust resources and is supported by the 5W to interface users’ learning needs, learning processes, and learning objectives which can provide users with personalized learning service recommendation.

Mapping ERD to Knowledge Graph

An efficient approach for mapping ERD to knowledge graph is presented with a case study for demonstrating the mapping process and the proposed model has been empirically evaluated by comparing the Prolog results with the conventional SQL results.

A Tutorial and Survey on Fault Knowledge Graph

This article will provide an overview of the fault KG and summarize the key techniques for building a KG to guide the construction of the KG in the fault domain, and introduces some of the open source tools that can be used to build a KGs process, enabling researchers and practitioners to quickly get started in this field.

Ontological Knowledge Inferring Approach based on Term-Clustering and Intra-Cluster Permutations

This research contributes a reliable approach which requires a single pass over the corpus of triples to infer a large number of ontological knowledge facts that can be used to construct/extend ontologies.

Knowledge Graph Quality Control: A Survey

A Pay as You Use Resource Security Provision Approach Based on Data Graph, Information Graph and Knowledge Graph

A pay as you use resource security provision approach based on Data Graph, Information Graph and Knowledge Graph in order to ensure that resources will not be used, tampered with, lost and destroyed in unauthorized situations.

Health service provision based on typed resources of data, information and knowledge

This work proposes a framework of construction, searching and protection of typed health resources in terms of data, information and knowledge through a hierarchy consisting of Data Graph, Information Graph and Knowledge Graph.

Existence Computation: Revelation on Entity vs. Relationship for Relationship Defined Everything of Semantics

  • Yucong Duan
  • Computer Science
    2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)
  • 2019
The debut of existence computation (EC) is proposed which reveals the ultimate semantics argumentation on concepts in areas including software engineering, service computing, requirement specification, philosophy, etc, from an existence semantic based foundation and organized upwards from this foundation.

Optimization of Associative Knowledge Graph using TF-IDF based Ranking Score

This study proposes the optimization method of the associative knowledge graph using TF-IDF based ranking scores to remove terms with low scores and recreate transactions and creates an optimized knowledge model.



Graph-based Knowledge Representation - Computational Foundations of Conceptual Graphs

This book addresses the question of how far it is possible to go in knowledge representation and reasoning by representing knowledge with graphs (in the graph theory sense) and reasoning with graph

Knowledge Semantic Representation: A Generative Model for Interpretable Knowledge Graph Embedding

A semantic representation method for knowledge graph (KSR) is proposed, which imposes a two-level hierarchical generative process that globally extracts many aspects and then locally assigns a specific category in each aspect for every triple.

Scalable Learning of Entity and Predicate Embeddings for Knowledge Graph Completion

This work proposes a principled method for sensibly reducing the learning time, while converging to more accurate link prediction models, and employs the proposed method for training and evaluating a set of novel and scalable models.

Traversing Knowledge Graphs in Vector Space

It is demonstrated that compositional training acts as a novel form of structural regularization, reliably improving performance across all base models (reducing errors by up to 43%) and achieving new state-of-the-art results.

Data, Information, Knowledge, Wisdom: A Doubly Linked Chain?

This paper gives a detailed review of various definitions and explanations of DIKW (Data, Information, Knowledge, Wisdom) hierarchy and discusses the inverted hierarchy that shows that data emerges only after the authors have information, and that information emergesonly after they already have knowledge.

A Relation-Based Page Rank Algorithm for Semantic Web Search Engines

This paper proposes a relation-based page rank algorithm to be used in conjunction with semantic Web search engines that simply relies on information that could be extracted from user queries and on annotated resources.

Conceptual approaches for defining data, information, and knowledge

  • C. Zins
  • Education
    J. Assoc. Inf. Sci. Technol.
  • 2007
This article documents 130 definitions of data, information, and knowledge formulated by 45 scholars, and maps the major conceptual approaches for defining these three key concepts.

Knowledge representation: logical, philosophical, and computational foundations

  • J. Sowa
  • Computer Science
    Computational Linguistics
  • 2001
This chapter discusses knowledge representation, meaning, purpose, context, and agents in the context of ontology, as well as some examples of knowledge acquisition and sharing.

An ontology-based conceptual mapping framework for translating FBPML to the Web services ontology

This paper presents an ontology-based conceptual mapping framework that translates a formal and visually rich business process modeling (BPM) language, Fundamental Business Process Modelling Language

eContractual choreography-language properties towards cross-organizational business collaboration

A cross-organizational collaboration ontology is mapped as a proof-of-concept evaluation to the eSourcing Markup Language (eSML) and the latter is tested in a feasibility case study to meaningfully support the automation of business collaboration.