Doc2KG

Vlachava, Danai; Konstantinidis, Ioannis; Bassiliades, Nick; Peristeras, Vassilios

doi:10.4018/ijswis.295552

Cited by 17 publications

(9 citation statements)

References 49 publications

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“…The latter could additionally enable a validation process of the data integrity in the sense of a "Proof of Concept" procedure for the imported data. This validation process could be further enhanced and should be ideally established via the use of an automated framework in the direction of providing sound sources of information prior to exploitation [21] [12]. Furthermore, it is imperative that used techniques are customized to the national language and more importantly to the special terminology used in the frame of the public administration.…”

Section: Discussionmentioning

confidence: 99%

“…Our aim is to deploy the use of common EU standards, not restricted to fit the requirements of decisions/acts developed in the frame of a single national Programme such as Diavgeia. To this end, this solution can be derived following the concept of a recently proposed intelligent framework, handling both creation and real-time updating of a knowledge graph, while also exploiting domain-specific ontology standards, deploying Diavgeia [21]. In the following section, we elaborate further on the enhancements proposed to build the new integrated ontology d2kg.…”

Section: Diavgeiaredefined-diavgeia Ontologymentioning

confidence: 99%

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d2kg: An integrated ontology for knowledge graph-based representation of government decisions and acts

Serderidis,

Konstantinidis,

Meditskos

et al. 2024

Self Cite

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To implement Open Governance a crucial element is the efficient use of the big amounts of open data produced in the public domain. Public administration is a rich source of data and potentially new knowledge. It is a data intensive sector producing vast amounts of information encoded in government decisions and acts, published nowadays on the World Wide Web. The knowledge shared on the Web is mostly made available via semi-structured documents written in natural language. To exploit this knowledge, technologies such as Natural Language Processing, Information Extraction, Data mining and the Semantic Web could be used, embedding into documents explicit semantics based on formal knowledge representations such as ontologies. Knowledge representation can be made possible by the deployment of Knowledge Graphs, collections of interlinked representations of entities, events or concepts, based on underlying ontologies. This can assist data analysts to achieve a higher level of situational awareness, facilitating automated reasoning towards different objectives, such as for knowledge management, data maintenance, transparency and cybersecurity. This paper presents a new ontology d2kg [d(iavgeia) 2(to) k(nowledge) g(raph)] integrating in a unique way standard EU ontologies, core and controlled vocabularies to enable exploitation of publicly available data from government decisions and acts published on the Greek platform Diavgeia with the aim to facilitate data sharing, re-usability and interoperability. It demonstrates a characteristic example of a Knowledge Graph based representation of government decisions and acts, highlighting its added value to respond to real practical use cases for the promotion of transparency, accountability and public awareness. The developed d2kg ontology in owl is accessible at: http://w3id.org/d2kg, as well as documented at: http://w3id.org/d2kg/documentation.

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Section: Discussionmentioning

confidence: 99%

Section: Diavgeiaredefined-diavgeia Ontologymentioning

confidence: 99%

d2kg: An integrated ontology for knowledge graph-based representation of government decisions and acts

Serderidis,

Konstantinidis,

Meditskos

et al. 2024

Self Cite

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“…Our work was based on a previous study [9], in which the authors proposed a theoretical framework for KG construction in DIAVGEIA. In this paper, the problem will be analyzed in a more technical way, by taking into account the technical difficulties and the limited number of available NLP tools for the Greek language.…”

Section: Related Workmentioning

confidence: 99%

Towards Knowledge Graph Creation from Greek Governmental Documents

Georgoudi

Konstantinidis

Meditskos

et al. 2023

Advances and Trends in Artificial Intelligence. Theory and Applications

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Documents contain textual information, which is of the utmost importance for all the organizations. Document management systems have been used to store vast amounts of unstructured textual data described with minimal metadata, a method that has several limitations. In order to convert hidden knowledge into machine-readable data with rich connections, this paper presents work in progress on the development of the first end-to-end guided approach to construct a Knowledge Graph from Greek government documents from the Greek open government portal. The resulted Knowledge graph consists a proof-of-concept graph, that illustrates the beneficial semantic relationships between the textual data.

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“…Another important aspect of the IoT environment is the threat of malware. Studies have characterized 64 IoT malware families, analyzing their behaviors, target architecture, target devices, delivery methods, attack vectors, persistence techniques, and evolution [13,14,15]. Finally, the emergence of Narrowband of Internet of Things (NB-IoT) has significantly contributed to the evolution of IoT towards intelligence, convenience, low power consumption, large connectivity, and wide coverage [?,16].…”

Section: Introductionmentioning

confidence: 99%

A Novel Cuckoo Search-Based Optimized Deep CNN Model for Phishing Attack Detection in IoT Environment

Gupta,

Gaurav,

Attar

et al. 2024

Preprint

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There is a serious risk to information privacy and security in the IoT ecosystem from phishing attacks. This research offers a unique strategy for increasing phishing attack detection by employing the Cuckoo Search algorithm to tune hyperparameters in a deep Convolutional Neural Network (CNN) model. Our suggested approach is very effective, with a 90\% success rate in detecting phishing attacks. To distinguish between legal and fraudulent IoT network activity, we systematically tune hyperparameters using Cuckoo Search to optimise the deep CNN model's performance. This study helps ensure the safety of sensitive information and IoT devices by providing a novel and effective approach for real-time phishing detection.

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Doc2KG

Cited by 17 publications

References 49 publications

d2kg: An integrated ontology for knowledge graph-based representation of government decisions and acts

d2kg: An integrated ontology for knowledge graph-based representation of government decisions and acts

Towards Knowledge Graph Creation from Greek Governmental Documents

A Novel Cuckoo Search-Based Optimized Deep CNN Model for Phishing Attack Detection in IoT Environment

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