An Introduction to Information Network Modeling Capabilities, Utilizing Graphs
This paper presents research on Information Network (IN) modeling using graph mining. The theoretical background along with a review of relevant literature is showcased, pertaining the concepts of IN model types, network schemas and graph measures. Ongoing research involves experimentation and evalu...
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Published in | Metadata and Semantic Research Vol. 1355; pp. 134 - 140 |
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Main Authors | , , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer International Publishing AG
2021
Springer International Publishing |
Series | Communications in Computer and Information Science |
Subjects | |
Online Access | Get full text |
ISBN | 3030719022 9783030719029 |
ISSN | 1865-0929 1865-0937 |
DOI | 10.1007/978-3-030-71903-6_14 |
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Abstract | This paper presents research on Information Network (IN) modeling using graph mining. The theoretical background along with a review of relevant literature is showcased, pertaining the concepts of IN model types, network schemas and graph measures. Ongoing research involves experimentation and evaluation on bipartite and star network schemas, generating test subjects using Social Media, Energy or Healthcare data. Our contribution is showcased by two proof-of-concept simulations we plan to extend. |
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AbstractList | This paper presents research on Information Network (IN) modeling using graph mining. The theoretical background along with a review of relevant literature is showcased, pertaining the concepts of IN model types, network schemas and graph measures. Ongoing research involves experimentation and evaluation on bipartite and star network schemas, generating test subjects using Social Media, Energy or Healthcare data. Our contribution is showcased by two proof-of-concept simulations we plan to extend. |
Author | Rousidis, Dimitrios Koukaras, Paraskevas Tjortjis, Christos |
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Editor | Garoufallou, Emmanouel Ovalle-Perandones, María-Antonia |
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PublicationSubtitle | 14th International Conference, MTSR 2020, Madrid, Spain, December 2-4, 2020, Revised Selected Papers |
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Snippet | This paper presents research on Information Network (IN) modeling using graph mining. The theoretical background along with a review of relevant literature is... |
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StartPage | 134 |
SubjectTerms | Data mining Graph modeling Information Networks Linked data NoSQL Social data |
Title | An Introduction to Information Network Modeling Capabilities, Utilizing Graphs |
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