Doc2KG: Transforming Document Repositories to Knowledge Graphs

Document Management Systems (DMS) are used for decades to store large amounts of information in textual form. Their technology paradigm is based on storing vast quantities of textual information enriched with metadata to support searchability. However, this exhibits limitations as it treats textual...

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Published inInternational journal on semantic web and information systems Vol. 18; no. 1; pp. 1 - 20
Main Authors Bassiliades, Nick, Stylianou, Nikolaos, Vlachava, Danai, Konstantinidis, Ioannis, Peristeras, Vassilios
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.01.2022
Subjects
Online AccessGet full text
ISSN1552-6283
1552-6291
DOI10.4018/IJSWIS.295552

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Abstract Document Management Systems (DMS) are used for decades to store large amounts of information in textual form. Their technology paradigm is based on storing vast quantities of textual information enriched with metadata to support searchability. However, this exhibits limitations as it treats textual information as black box and is based exclusively on user-created metadata, a process that suffers from quality and completeness shortcomings. The use of knowledge graphs in DMS can substantially improve searchability, providing the ability to link data and enabling semantic searching. Recent approaches focus on either creating knowledge graphs from document collections or updating existing ones. In this paper, we introduce Doc2KG (Document-to-Knowledge-Graph), an intelligent framework that handles both creation and real-time updating of a knowledge graph, while also exploiting domain-specific ontology standards. We use DIAVGEIA (clarity), an award winning Greek open government portal, as our case-study and discuss new capabilities for the portal by implementing Doc2KG.
AbstractList Document Management Systems (DMS) are used for decades to store large amounts of information in textual form. Their technology paradigm is based on storing vast quantities of textual information enriched with metadata to support searchability. However, this exhibits limitations as it treats textual information as black box and is based exclusively on user-created metadata, a process that suffers from quality and completeness shortcomings. The use of knowledge graphs in DMS can substantially improve searchability, providing the ability to link data and enabling semantic searching. Recent approaches focus on either creating knowledge graphs from document collections or updating existing ones. In this paper, we introduce Doc2KG (Document-to-Knowledge-Graph), an intelligent framework that handles both creation and real-time updating of a knowledge graph, while also exploiting domain-specific ontology standards. We use DIAVGEIA (clarity), an award winning Greek open government portal, as our case-study and discuss new capabilities for the portal by implementing Doc2KG.
Document management systems (DMS) have been used for decades to store large amounts of information in textual form. Their technology paradigm is based on storing vast quantities of textual information enriched with metadata to support searchability. However, this exhibits limitations as it treats textual information as a black box and is based exclusively on user-created metadata, a process that suffers from quality and completeness shortcomings. The use of knowledge graphs in DMS can substantially improve searchability, providing the ability to link data and enabling semantic searching. Recent approaches focus on either creating knowledge graphs from document collections or updating existing ones. In this paper, the authors introduce Doc2KG (Document-to-Knowledge-Graph), an intelligent framework that handles both creation and real-time updating of a knowledge graph, while also exploiting domain-specific ontology standards. They use DIAVGEIA (clarity), an award-winning Greek open government portal, as the case-study and discuss new capabilities for the portal by implementing Doc2KG.
Audience Academic
Author Bassiliades, Nick
Vlachava, Danai
Konstantinidis, Ioannis
Peristeras, Vassilios
Stylianou, Nikolaos
AuthorAffiliation International Hellenic University, Greece
Aristotle University of Thessaloniki, Greece
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Snippet Document Management Systems (DMS) are used for decades to store large amounts of information in textual form. Their technology paradigm is based on storing...
Document management systems (DMS) have been used for decades to store large amounts of information in textual form. Their technology paradigm is based on...
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SubjectTerms Computational linguistics
Computer programs
Document management systems
Graphs
Knowledge
Knowledge representation
Language processing
Metadata
Natural language interfaces
Title Doc2KG: Transforming Document Repositories to Knowledge Graphs
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