Developing a scientific knowledge graph through conceptual linking of academic classifications

Bratsas, Charalampos; Filippidis, Panagiotis-Marios; Karampatakis, Sotirios; Ioannidis, Lazaros

doi:10.1109/smap.2018.8501869

Cited by 2 publications

(3 citation statements)

References 10 publications

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“…Semantic richness is offered by OWL, a feature scarcely found in relational databases or XML schemas. While relational databases excel in managing structured data, they struggle to represent complex, hierarchical, or intricate relationships [29,56].…”

Section: Criteria For Selecting Owl Over Other Methodsmentioning

confidence: 99%

“…The system aims to serve as a centralized hub for law enforcement agencies, providing a holistic view of the crime scene by amalgamating various forms of data. Thus, the implications of this research are principally targeted at law enforcement agencies involved in investigative work, aiming to refine their methodologies by incorporating data-driven insights [24][25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

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Interoperability-Enhanced Knowledge Management in Law Enforcement: An Integrated Data-Driven Forensic Ontological Approach to Crime Scene Analysis

Spyropoulos,

Bratsas,

Makris

et al. 2023

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Nowadays, more and more sciences are involved in strengthening the work of law enforcement authorities. Scientific documentation is evidence highly respected by the courts in administering justice. As the involvement of science in solving crimes increases, so does human subjectivism, which often leads to wrong conclusions and, consequently, to bad judgments. From the above arises the need to create a single information system that will be fed with scientific evidence such as fingerprints, genetic material, digital data, forensic photographs, information from the forensic report, etc., and also investigative data such as information from witnesses’ statements, the apology of the accused, etc., from various crime scenes that will be able, through formal reasoning procedure, to conclude possible perpetrators. The present study examines a proposal for developing an information system that can be a basis for creating a forensic ontology—a semantic representation of the crime scene—through descriptive logic in the owl semantic language. The Interoperability-Enhanced information system to be developed could assist law enforcement authorities in solving crimes. At the same time, it would promote closer cooperation between academia, civil society, and state institutions by fostering a culture of engagement for the common good.

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Section: Criteria For Selecting Owl Over Other Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Interoperability-Enhanced Knowledge Management in Law Enforcement: An Integrated Data-Driven Forensic Ontological Approach to Crime Scene Analysis

Spyropoulos,

Bratsas,

Makris

et al. 2023

Information

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“…The project consists of three specific outputs aimed at: (a) Establishing a quality framework for university-business cooperation, (b) Building an online infrastructure to increase research opportunities and their transferability and (c) Applying and mainstreaming the European PhD Hub. An advanced matchmaking procedure between the users of the platform and the research opportunities has been identified as a critical point for the success of the platform [26]. The matchmaking procedure is based on the conceptual linking of the research areas.…”

Section: Phd Hubmentioning

confidence: 99%

Alignment: A Hybrid, Interactive and Collaborative Ontology and Entity Matching Service

et al. 2018

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Ontology matching is an essential problem in the world of Semantic Web and other distributed, open world applications. Heterogeneity occurs as a result of diversity in tools, knowledge, habits, language, interests and usually the level of detail. Automated applications have been developed, implementing diverse aligning techniques and similarity measures, with outstanding performance. However, there are use cases where automated linking fails and there must be involvement of the human factor in order to create, or not create, a link. In this paper we present Alignment, a collaborative, system aided, interactive ontology matching platform. Alignment offers a user-friendly environment for matching two ontologies with the aid of configurable similarity algorithms.

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Developing a scientific knowledge graph through conceptual linking of academic classifications

Cited by 2 publications

References 10 publications

Interoperability-Enhanced Knowledge Management in Law Enforcement: An Integrated Data-Driven Forensic Ontological Approach to Crime Scene Analysis

Interoperability-Enhanced Knowledge Management in Law Enforcement: An Integrated Data-Driven Forensic Ontological Approach to Crime Scene Analysis

Alignment: A Hybrid, Interactive and Collaborative Ontology and Entity Matching Service

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