Semantic Data Management in Peer-to-Peer E-Commerce Applications

2006 ◽  
pp. 115-142 ◽  
Author(s):  
Yosi Ben-Asher ◽  
Shlomo Berkovsky
Keyword(s):  
Data Management ◽  
Peer To Peer ◽  
Semantic Data

Peer-to-Peer Data Management

2011 ◽  
Vol 3 (2) ◽  
pp. 1-150 ◽  
Author(s):  
Karl Aberer
Keyword(s):  
Data Management ◽  
Peer To Peer ◽  
Peer Data Management

Distributed Social Platforms for Confidentiality and Resilience

2013 ◽  
pp. 114-136 ◽  
Author(s):  
Enrico Franchi ◽  
Michele Tomaiuolo
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Denial Of Service ◽  
Social Engineering ◽  
Peer To Peer ◽  
Current Approach ◽  
Data Availability ◽  
Hash Tables ◽  
Semantic Data ◽  
Peer To Peer Systems

Social networking sites have deeply changed the perception of the web in the last years. Although the current approach to build social networking systems is to create huge centralized systems owned by a single company, such strategy has many drawbacks, e.g., lack of privacy, lack of anonymity, risks of censorship and operating costs. These issues contrast with some of the main requirements of information systems, including: (i) confidentiality, i.e., the interactions between a user and the system must remain private unless explicitly public; (ii) integrity; (iii) accountability; (iv) availability; (v) identity and anonymity. Moreover, social networking platforms are vulnerable to many kind of attacks: (i) masquerading, which occurs when a user disguises his identity and pretends to be another user; (ii) unauthorized access; (iii) denial of service; (iv) repudiation, which occurs when a user participates in an activity and later claims he did not; (v) eavesdropping; (vi) alteration of data; (vii) copy and replay attacks; and, in general, (viii) attacks making use of social engineering techniques. In order to overcome both the intrinsic defects of centralized systems and the general vulnerabilities of social networking platforms, many different approaches have been proposed, both as federated (i.e., consisting of multiple entities cooperating to provide the service, but usually distinct from users) or peer-to-peer systems (with users directly cooperating to provide the service); in this work the most interesting ones were reviewed. Eventually, the authors present their own approach to create a solid distributed social networking platform consisting in a novel peer-to-peer system that leverages existing, widespread and stable technologies such as distributed hash tables and BitTorrent. The topics considered in detail are: (i) anonymity and resilience to censorship; (ii) authenticatable contents; (iii) semantic interoperability using activity streams and weak semantic data formats for contacts and profiles; and (iv) data availability.

Features and Limitations of Ontologies for Coronavirus Data Management in Libraries

2021 ◽  
pp. 18-40
Author(s):  
Enrique Wulff
Keyword(s):  
Semantic Web ◽  
Data Management ◽  
Quality Criteria ◽  
Emerging Technology ◽  
Data Sources ◽  
Semantic Data ◽  
Important Quality ◽  
Selection For ◽  
Over Time ◽  
Or Applications

The purpose of this chapter is to follow the evolution of what has occurred over time in the ontologies published in response to the COVID-19 pandemic. Correctness and completeness of ontologies on the schema and instance level are important quality criteria in their selection for an application. To help both the librarians and the users, there is a need of a framework for the comparison of different semantic data sources in the COVID-19 pandemic. Meanwhile, online services and/or applications based on ontologies or SKOS-based COVID-19 thesauri are still rare. As an emerging technology in libraries, an all-integrating ontology for coronavirus disease knowledge and data refers to the continuing development of an existing technology. In spite of using ontologies in the Semantic Web, meanings of concepts and relationships are still largely unrealized in terms of obtaining accurate and timely information about COVID-19. But the nature of causal relationships on this disease is made accessible through ontologies as the material in which its main concepts are supported.

scholarly journals Expressing the Tacit Knowledge of a Digital Library System as Linked Data

Computers ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 49 ◽  
Author(s):  
Angela Di Iorio ◽  
Marco Schaerf
Keyword(s):  
Data Management ◽  
Tacit Knowledge ◽  
Digital Library ◽  
Linked Data ◽  
Data Publishing ◽  
Library System ◽  
Semantic Data ◽  
Digital Library System ◽  
Interpretation Process ◽  
Data Source

Library organizations have enthusiastically undertaken semantic web initiatives and in particular the data publishing as linked data. Nevertheless, different surveys report the experimental nature of initiatives and the consumer difficulty in re-using data. These barriers are a hindrance for using linked datasets, as an infrastructure that enhances the library and related information services. This paper presents an approach for encoding, as a Linked Vocabulary, the “tacit” knowledge of the information system that manages the data source. The objective is the improvement of the interpretation process of the linked data meaning of published datasets. We analyzed a digital library system, as a case study, for prototyping the “semantic data management” method, where data and its knowledge are natively managed, taking into account the linked data pillars. The ultimate objective of the semantic data management is to curate the correct consumers’ interpretation of data, and to facilitate the proper re-use. The prototype defines the ontological entities representing the knowledge, of the digital library system, that is not stored in the data source, nor in the existing ontologies related to the system’s semantics. Thus we present the local ontology and its matching with existing ontologies, Preservation Metadata Implementation Strategies (PREMIS) and Metadata Objects Description Schema (MODS), and we discuss linked data triples prototyped from the legacy relational database, by using the local ontology. We show how the semantic data management, can deal with the inconsistency of system data, and we conclude that a specific change in the system developer mindset, it is necessary for extracting and “codifying” the tacit knowledge, which is necessary to improve the data interpretation process.

Cloud-Based Semantic Data Management for the VPH-Share Medical Research Community

2014 ◽  
Author(s):  
Siegfried Benkner ◽  
Chris Borckholder ◽  
Yuriy Kaniovskyi Alfredo Saglimbeni ◽  
Tomas Pariente Lobo ◽  
Piotr Nowakowski ◽  
...  
Keyword(s):  
Data Management ◽  
Medical Research ◽  
Research Community ◽  
Semantic Data
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