Demonstration of Faceted Search on Scholarly Knowledge Graphs

This paper presents a new software framework, Sampo-UI, for developing user interfaces for semantic portals. The goal is to provide the end-user with multiple application perspectives to Linked Data knowledge graphs, and a two-step usage cycle based on faceted search combined with ready-to-use tooling for data analysis. For the software developer, the Sampo-UI framework makes it possible to create highly customizable, user-friendly, and responsive user interfaces using current state-of-the-art JavaScript libraries and data from SPARQL endpoints, while saving substantial coding effort. Sampo-UI is published on GitHub under the open MIT License and has been utilized in several internal and external projects. The framework has been used thus far in creating six published and five forth-coming portals, mostly related to the Cultural Heritage domain, that have had tens of thousands of end-users on the Web.

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Leveraging a Federation of Knowledge Graphs to Improve Faceted Search in Digital Libraries

10.1007/978-3-030-86324-1_18 ◽

2021 ◽

pp. 141-152

Author(s):

Golsa Heidari ◽

Ahmad Ramadan ◽

Markus Stocker ◽

Sören Auer

Keyword(s):

Digital Libraries ◽

Faceted Search ◽

Knowledge Graphs

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Faceted search over RDF-based knowledge graphs

Journal of Web Semantics ◽

10.1016/j.websem.2015.12.002 ◽

2016 ◽

Vol 37-38 ◽

pp. 55-74 ◽

Cited By ~ 39

Author(s):

Marcelo Arenas ◽

Bernardo Cuenca Grau ◽

Evgeny Kharlamov ◽

Šarūnas Marciuška ◽

Dmitriy Zheleznyakov

Keyword(s):

Faceted Search ◽

Knowledge Graphs

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Faceted Search Over RDF-Based Knowledge Graphs

SSRN Electronic Journal ◽

10.2139/ssrn.3199228 ◽

2016 ◽

Cited By ~ 2

Author(s):

Marcelo Arenas ◽

Bernardo Cuenca Grau ◽

Evgeny Kharlamov ◽

Sarunas Marciuska ◽

Dimitriy Zheleznyakov

Keyword(s):

Faceted Search ◽

Knowledge Graphs

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Mobile Software Assurance Informed through Knowledge Graph Construction: The OWASP Threat of Insecure Data Storage

Journal of Computer Science Research ◽

10.30564/jcsr.v2i2.1765 ◽

2020 ◽

Vol 2 (2) ◽

Author(s):

Suzanna Schmeelk ◽

Lixin Tao

Keyword(s):

Data Storage ◽

Program Analysis ◽

Web Application ◽

Security Analysis ◽

Knowledge Graph ◽

Healthcare Applications ◽

Sensitive Data ◽

Knowledge Graphs ◽

Mobile Malware Detection ◽

Software Assurance

Many organizations, to save costs, are movinheg to t Bring Your Own Mobile Device (BYOD) model and adopting applications built by third-parties at an unprecedented rate. Our research examines software assurance methodologies specifically focusing on security analysis coverage of the program analysis for mobile malware detection, mitigation, and prevention. This research focuses on secure software development of Android applications by developing knowledge graphs for threats reported by the Open Web Application Security Project (OWASP). OWASP maintains lists of the top ten security threats to web and mobile applications. We develop knowledge graphs based on the two most recent top ten threat years and show how the knowledge graph relationships can be discovered in mobile application source code. We analyze 200+ healthcare applications from GitHub to gain an understanding of their software assurance of their developed software for one of the OWASP top ten moble threats, the threat of “Insecure Data Storage.” We find that many of the applications are storing personally identifying information (PII) in potentially vulnerable places leaving users exposed to higher risks for the loss of their sensitive data.

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