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 in | International journal on semantic web and information systems Vol. 18; no. 1; pp. 1 - 20 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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IGI Global
01.01.2022
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Online Access | Get full text |
ISSN | 1552-6283 1552-6291 |
DOI | 10.4018/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. |
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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 |
AuthorAffiliation_xml | – name: International Hellenic University, Greece – name: Aristotle University of Thessaloniki, Greece |
Author_xml | – sequence: 1 givenname: Nick surname: Bassiliades fullname: Bassiliades, Nick organization: Aristotle University of Thessaloniki, Greece – sequence: 2 givenname: Nikolaos surname: Stylianou fullname: Stylianou, Nikolaos organization: Aristotle University of Thessaloniki, Greece – sequence: 3 givenname: Danai surname: Vlachava fullname: Vlachava, Danai organization: International Hellenic University, Greece – sequence: 4 givenname: Ioannis surname: Konstantinidis fullname: Konstantinidis, Ioannis organization: International Hellenic University, Greece – sequence: 5 givenname: Vassilios surname: Peristeras fullname: Peristeras, Vassilios organization: International Hellenic University, 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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