The document discusses challenges for preserving privacy in linked data from the perspective of a linked data privacy auditing framework. It describes work on ontologies (L2TAP+SCIP) for publishing privacy log events as linked data to enable log integration and encoding of privacy-related events. The framework allows expressing privacy policies and preferences, and performing query-based auditing of linked data uses and flows to check for privacy violations. Examples show how the framework could be applied to an medical research study dataset to log access requests and ensure privacy policy compliance.
Building an Enterprise Content Management solution on top of liferayAndrea Di Giorgi
Documents, data tables, wiki, message boards and so on: as we all know, Liferay provides a series of native portlets for storing and managing several types of content in your organization. But sometimes more advanced features are required, and the powerful frameworks that lay under the hood can be leveraged in order to reach your custom needs. This session presents SMC's first steps in building a Liferay-based Enterprise Content Management solution, which introduces a whole new set of functionalities for documents and other types of assets. But the potential is endless, and plans are to add even more features and have a complete ECM solution built on top of the Liferay platform.
Research Opportunities for Medical Students Undergraduate point of view - Anu...Akshay S Dinesh
The document provides information on research opportunities for undergraduate medical students in India. It discusses the benefits of undergraduate research experience such as enhanced employability, research skills, and improved student-faculty contact. It also outlines various funding opportunities for undergraduate research in India such as grants from universities and bodies like ICMR. Conference and publication opportunities for presenting and publishing undergraduate research are also presented.
Top 52 clinical research associate interview questions and answers pdfHarrisonFord888
Here are the key points to cover in your answer:
- The company's core business/industry and their main products/services
- Their size (annual revenue, number of employees etc)
- Their leadership/management - who the key decision makers are
- Any recent major events/deals/expansion plans
- Their mission/vision statement and company values
- Their culture/work environment
- Clientele/target market
The level of detail you provide will depend on the role. Focus on relating what you've learned to why you're a good fit and excited about the opportunity. Keep it brief (under 2 minutes) while demonstrating you've done your research on them.
This slides were presented at the CRIS2014 conference. We talked about Research Link, a service offered by CINECA created to expose Research Outputs of Italian Universities in Linked Open Data
PlanetData project was presented by Elena Simperl and Barry Norton from Karlsruhe Institute of Technology at the 1st International Symposium on Data-driven Process Discovery and Analysis on June 30, 2011 in Campione d’Italia, Italy
The document summarizes the PlanetData project, which aims to establish an interdisciplinary community for managing large-scale structured data on the web. Its objectives include addressing challenges through integrated research, providing data and technology through a lab, and having impact through training, standards, and networking. The work plan highlights include publishing and managing streaming data, assessing linked data quality, and developing applications using linked services and processes.
This document discusses clustering of RDF data across the Semantic Web. It begins by describing the Linking Open Data project and the growing amount of RDF data available. It then discusses the motivations for clustering RDF data, such as improving data access and query response times over distributed machines. Current approaches to RDF clustering are also summarized, including extracting instance subgraphs and computing distances between instances. The document outlines different techniques for instance extraction and distance computation in RDF clustering.
Building an Enterprise Content Management solution on top of liferayAndrea Di Giorgi
Documents, data tables, wiki, message boards and so on: as we all know, Liferay provides a series of native portlets for storing and managing several types of content in your organization. But sometimes more advanced features are required, and the powerful frameworks that lay under the hood can be leveraged in order to reach your custom needs. This session presents SMC's first steps in building a Liferay-based Enterprise Content Management solution, which introduces a whole new set of functionalities for documents and other types of assets. But the potential is endless, and plans are to add even more features and have a complete ECM solution built on top of the Liferay platform.
Research Opportunities for Medical Students Undergraduate point of view - Anu...Akshay S Dinesh
The document provides information on research opportunities for undergraduate medical students in India. It discusses the benefits of undergraduate research experience such as enhanced employability, research skills, and improved student-faculty contact. It also outlines various funding opportunities for undergraduate research in India such as grants from universities and bodies like ICMR. Conference and publication opportunities for presenting and publishing undergraduate research are also presented.
Top 52 clinical research associate interview questions and answers pdfHarrisonFord888
Here are the key points to cover in your answer:
- The company's core business/industry and their main products/services
- Their size (annual revenue, number of employees etc)
- Their leadership/management - who the key decision makers are
- Any recent major events/deals/expansion plans
- Their mission/vision statement and company values
- Their culture/work environment
- Clientele/target market
The level of detail you provide will depend on the role. Focus on relating what you've learned to why you're a good fit and excited about the opportunity. Keep it brief (under 2 minutes) while demonstrating you've done your research on them.
This slides were presented at the CRIS2014 conference. We talked about Research Link, a service offered by CINECA created to expose Research Outputs of Italian Universities in Linked Open Data
PlanetData project was presented by Elena Simperl and Barry Norton from Karlsruhe Institute of Technology at the 1st International Symposium on Data-driven Process Discovery and Analysis on June 30, 2011 in Campione d’Italia, Italy
The document summarizes the PlanetData project, which aims to establish an interdisciplinary community for managing large-scale structured data on the web. Its objectives include addressing challenges through integrated research, providing data and technology through a lab, and having impact through training, standards, and networking. The work plan highlights include publishing and managing streaming data, assessing linked data quality, and developing applications using linked services and processes.
This document discusses clustering of RDF data across the Semantic Web. It begins by describing the Linking Open Data project and the growing amount of RDF data available. It then discusses the motivations for clustering RDF data, such as improving data access and query response times over distributed machines. Current approaches to RDF clustering are also summarized, including extracting instance subgraphs and computing distances between instances. The document outlines different techniques for instance extraction and distance computation in RDF clustering.
Facing data sharing in a heterogeneous research community: lights and shadows...Research Data Alliance
1) RITMARE is a large, multi-institutional Italian marine research project aiming to build a data management infrastructure to facilitate sharing of data across research communities.
2) Subproject 7 of RITMARE seeks to design an IT system that enables interoperability and data exchange without forcing a single model or centralization. Efforts have included developing a data policy, collecting researcher requirements, and creating tools and services.
3) While progress has been made in establishing nodes providing access to data and metadata, uptake by researchers has been less than expected due to insufficient technical support, lack of data-related incentives, and developing a data policy after the project began rather than at the outset.
iLastic: Linked Data Generation Workflow and User Interface for iMinds Schola...andimou
Enriching scholarly data with metadata enhances the publications’ meaning. Unfortunately, different publishers of overlapping or complementary scholarly data neglect general-purpose solutions for metadata and instead use their own ad-hoc solutions. This leads to duplicate efforts and entails non-negligible implementation and maintenance costs. In this paper, we propose a reusable Linked Data publishing workflow that can be easily adjusted by different data owners to (i) generate and publish Linked Data, and (ii) align scholarly data repositories with enrichments over the publications’ content. As a proof-of-concept, the proposed workflow was applied to the iMinds research institute data warehouse, which was aligned with publications’ content derived from Ghent University’s digital repository. Moreover, we developed a user interface to help lay users with the exploration of the iLastic Linked Data set. Our proposed approach relies on a general-purpose workflow. This way, we manage to reduce the development and maintenance costs and increase the quality of the resulting Linked Data.
The document discusses UNLV Libraries' project to transform their digital collection metadata into linked open data. It describes how the project started as a study group and literature review in 2012. The goals were to preserve metadata richness when converting to a standard like Dublin Core and improve discoverability by publishing in the Linked Data Cloud. Technologies used included ContentDM, OpenRefine, Karma, Mulgara/Virtuoso triplestores, and SPARQL. The process involved cleaning, exporting, reconciling, generating RDF triples, importing to a triplestore, publishing, and querying the data. Visualizations were created using PivotViewer and RelFinder to showcase relationships. Next steps include transforming all collections and increasing linkages to other datasets.
Pradeeban Kathiravelu is a PhD student researching how to use SDN to improve QoS and data quality in multi-tenant data center networks. His approach is to deploy an extended SDN controller architecture to increase QoS and enhance data quality for stored and processed data. He has published several papers on this topic and ongoing work includes the SMART project, with promising results showing improved data isolation, quality, and QoS guarantees through the use of SDN.
This document provides an overview of relevant approaches for accessing open data programmatically and data-as-a-service (DaaS) solutions. It discusses common data access methods like web APIs, OData, and SPARQL and describes several DaaS platforms that simplify publishing and consuming open data. It also outlines requirements for a proposed open DaaS platform called DaPaaS that aims to address challenges in open data management and application development.
The document discusses the evolution and history of the Internet and the Research Data Alliance (RDA). It provides details on:
- How the Internet originated from research networks developed by DARPA in the 1960s-70s.
- The RDA aims to build bridges for open sharing of research data globally by facilitating collaboration between experts. It is supported by funding from the EC, Australian NSD, and US NSF/NIST.
- The RDA works through Working and Interest Groups that develop standards and recommendations to advance data sharing at biannual plenary meetings. Several outputs addressing issues like metadata standards, data type registries, and PID information are expected in 2014.
Research Data Management at the University of SalfordDavid Clay
The document summarizes the University of Salford's research data management project. It describes the drivers for the project including funder policies requiring open data. It outlines the requirements gathering and policy development process. It then details the proposed solution architecture including online storage, a data repository, source code management, and support services. Finally it discusses the pilot infrastructure launched in 2015 using Figshare and describes next steps to evaluate scaling up the RDM service.
RSpace is an electronic lab notebook designed for academic research institutions. It was originally developed in response to a request from the University of Wisconsin. Key features include easy data entry, flexible data structuring, and multiple export and re-import options to preserve data. RSpace is working with the University of Edinburgh to integrate with their research data management systems like DataStore, DataShare, and DataVault to allow linking files, depositing content, and archiving. This will provide a seamless experience for researchers. Trials and engagements have been conducted with several universities and research institutions in 2014-2015 and commercial sales to institutions will begin in spring 2015.
The document discusses the Linked Data Platform (LDP) and its role in managing linked open data. The LDP is a proposed W3C recommendation that defines standards for publishing, editing, and combining data on the web. It allows organizations to more easily publish and maintain data by producing it once in RDF and then making it available online through the LDP, rather than repeatedly exporting it to different formats. This simplifies the data maintenance process. The LDP also enables sharing data across departments more easily and reusing public knowledge.
This document summarizes an update on the Research Data Alliance (RDA). It discusses the growth of RDA membership and activities. Key points include:
- RDA works to reduce barriers to data sharing and exchange by building social, organizational and technical infrastructure.
- RDA has grown significantly since its launch in 2013, with over 2,500 members from over 90 countries working in various working groups.
- Working groups focus on developing deliverables like standards, best practices and code to enable data sharing in various domains and for community needs, data stewardship, and base infrastructure.
- The first deliverables have been presented, with more to come, aimed at making data sharing and discovery more trustworthy
LOP – Capturing and Linking Open Provenance on LOD Cyclerogers.rj
Presentation of the paper "LOP – Capturing and Linking Open Provenance on LOD Cycle" at 5th Internacional Workshop on Semantic Web Information Management (SWIM 2013). New York, USA – June 23, 2013
This document discusses the objectives and activities of Work Package 4 in the ViBRANT project, which aims to ensure compatibility and access of data within ViBRANT through linking standards to flexible and controlled vocabularies. Some of the key activities mentioned are developing ontology tools to facilitate data exchange, enhancing existing services based on usage statistics, and linking the work to other packages within ViBRANT and external bioinformatics projects. Challenges include fusing different approaches to vocabularies and linking various technical tools.
In recent years governments and research institutions have emphasized the need for open data as a fundamental component of open science. But we need much more than the data themselves for them to be reusable and useful. We need descriptive and machine-readable metadata, of course, but we also need the software and the algorithms necessary to fully understand the data. We need the standards and protocols that allow us to easily read and analyze the data with the tools of our choice. We need to be able to trust the source and derivation of the data. In short, we need an interoperable data infrastructure, but it must be a flexible infrastructure able to work across myriad cultures, scales, and technologies. This talk will present a concept of infrastructure as a body of human, organisational, and machine relationships built around data. It will illustrate how a new organization, the Research Data Alliance, is working to build those relationships to enable functional data sharing and reuse.
The document discusses integrating the RSpace electronic lab notebook (ELN) with the University of Edinburgh's research data management services. It describes how RSpace can link to files stored in Edinburgh's DataStore storage system, export data and metadata to the DataShare research data repository, and archive data long-term in the future DataVault archive. The integration helps researchers manage and share their data across different projects and institutions while complying with the university's RDM policy. RSpace provides a convenient interface for researchers, while the services help institutions meet requirements for data storage, publication, and preservation.
OpenAIRE and the case of Irish Repositories, by Jochen Schirrwagen (RIAN Work...OpenAIRE
This document discusses OpenAIRE and Irish repositories. It begins with a brief explanation of OpenAIRE, including its history and role in Horizon 2020. It then analyzes the status of Irish repositories in OpenAIRE and BASE, noting that about 27,000 documents are openly accessible. The document asks questions about other Irish repositories and CRIS systems. It also discusses important metadata properties for OpenAIRE, such as referencing funding sources. Finally, it covers how repositories can connect with OpenAIRE through services, plugins, and add-ons.
OpenAIRE and the Case of Irish RepositoriesRIANIreland
This document discusses OpenAIRE and Irish repositories. It begins with a brief explanation of OpenAIRE, including its history and role in Horizon 2020. It then analyzes the status of Irish repositories in OpenAIRE and BASE, noting that about 27,000 documents are openly accessible. The document asks questions about other Irish repositories and CRIS systems. It also discusses important metadata properties for OpenAIRE, such as referencing funding sources. Finally, it covers how repositories can connect with OpenAIRE through services, plugins, and add-ons.
Hadoop Online Training : kelly technologies is the bestHadoop online Training Institutes in Bangalore. ProvidingHadoop online Training by real time faculty in Bangalore.
This document discusses steps towards a data value chain, including big data, public open data, and linked (open) data. It provides definitions and examples for each topic. For big data, it discusses the large volumes of data being created and challenges in working with such data. For public open data, it outlines principles like completeness and ease of access. It also shows examples of apps using open government data. For linked open data, it discusses moving from a web of documents to a web of interconnected data through using URIs and typed links. It also shows the growth of the linked open data cloud over time.
Preserving linked data: sustainability and organizational infrastructurePRELIDA Project
by Mariella Guercio (Sapienza Università di Roma), presented at the 3rd PRELIDA Consolidation and Dissemination Workshop, Riva, Italy, October, 17, 2014. More information about the workshop at: prelida.eu
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2) Subproject 7 of RITMARE seeks to design an IT system that enables interoperability and data exchange without forcing a single model or centralization. Efforts have included developing a data policy, collecting researcher requirements, and creating tools and services.
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Enriching scholarly data with metadata enhances the publications’ meaning. Unfortunately, different publishers of overlapping or complementary scholarly data neglect general-purpose solutions for metadata and instead use their own ad-hoc solutions. This leads to duplicate efforts and entails non-negligible implementation and maintenance costs. In this paper, we propose a reusable Linked Data publishing workflow that can be easily adjusted by different data owners to (i) generate and publish Linked Data, and (ii) align scholarly data repositories with enrichments over the publications’ content. As a proof-of-concept, the proposed workflow was applied to the iMinds research institute data warehouse, which was aligned with publications’ content derived from Ghent University’s digital repository. Moreover, we developed a user interface to help lay users with the exploration of the iLastic Linked Data set. Our proposed approach relies on a general-purpose workflow. This way, we manage to reduce the development and maintenance costs and increase the quality of the resulting Linked Data.
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The document discusses the evolution and history of the Internet and the Research Data Alliance (RDA). It provides details on:
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- The RDA aims to build bridges for open sharing of research data globally by facilitating collaboration between experts. It is supported by funding from the EC, Australian NSD, and US NSF/NIST.
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Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
2. A Linked Data Privacy Auditing Perspective?
• Recent work on a Linked Data Publishing Framework
using two RDFS ontologies (L2TAP+SCIP) [SC12,SC14]
– Publishing privacy log events as Linked Data
• Enable log integration via secure web access to all events
– Encoding privacy‐related events in RDF
• Simple target for mapping key Contextual Integrity concepts
– SPARQL solutions for
• Log construction (from policies and dataset descriptions)
• Obligation derivation
• Log‐based auditing of compliance checking (detection of privacy
violations and attribution)
• Facilitates best practices using audit logs and
monitoring as an effective oversight regime
17/10/2014 Consens
[SC14] R. Samavi, M. P. Consens, “Publishing L2TAP Logs to Facilitate Transparency and Accountability”. In
Linked Data on the Web (LDOW2014), WWW Workshops, 2014.
[SC12] R. Samavi, M. P. Consens, “L2TAP+SCIP: An audit‐based privacy framework leveraging Linked Data”. In
8th International Conference on Collaborative Computing (CollaborateCom2012), 2012.
5. L2TAP+SCIP Motivation
• Increasing need for privacy frameworks that allow
– Individuals to express their privacy preferences
– Service providers to interpret, enforce, and be held
accountable for respecting individual’s privacy concerns
• Compliance (e.g., HIPAA Privacy Rule, Gramm‐Leach‐Bliley Act,
EU Directive 95/46/EC)
• EU Agency Recommendation (ENISA, 2011)
– Research on information accountability technology
should be promoted, aimed at the technical ability to
hold information processors accountable for their
storage, use and dissemination of third‐party data.
17/10/2014 Consens
6. Related Work
• Linked Data privacy
– Expressing access control policies, SPPO (ACL) [Sacco, 2011]
– Using SWRL to express access rules [Mühleisen, 2010]
– Leveraging the linked data architecture for providing authorization and
access restrictions (based on WebID) [Story, 2009 ], [Hollenbach et al., 2009 ]
• Policy monitoring approaches
– LPU [Barth et al., 2006], MFOTL [Basin et al., 2010], PrivacyLFP [Datta et al., 2011]
– Use linear, metric temporal logic (LTL, MFOTL)
– Provide proof‐based systems for run time monitoring of policies
• Access control and privacy policy languages
– Expressing access control policies [Sandhu et al., 1996], [Jojodia et al., 2001]
– Expressing and enforcing privacy policies (P‐RBAC) [Ni et al., 2007], [Ni et
al., 2008], [Li et al., 2012]
17/10/2014 Consens
8. Privacy‐Aware Preservation in OAIS
• The PDI (Preservation Description Information)
includes Access Rights Information
– Access restrictions pertaining to the Content
Information; including the legal framework, licensing
terms, and access control
– Contains access and distribution conditions stated in
the Submission Agreement, related to both
preservation (by the OAIS) and final usage (by the
Consumer)
– Includes the specifications for the application of rights
enforcement measures
17/10/2014 Consens
29. 17/10/2014 Consens
Access Request
Research Team
RT1
Obligation Acceptance
Data Provider
PhysioNet
Privacy Policies
L2TAP Audit Log
Access Response
SCIP in the Medical Research Study
31. 17/10/2014 Consens
Access Request
Research Team
RT1
Obligation Acceptance
Data Provider
PhysioNet
Privacy Policies
L2TAP Audit Log
Access Response
Performed Obligation
SCIP in the Medical Research Study
33. 17/10/2014 Consens
Access Request
Research Team
RT1
Obligation Acceptance
Access Activity
Data Provider
PhysioNet
Privacy Policies
L2TAP Audit Log
Access Response
Performed Obligation
SCIP in the Medical Research Study
36. 17/10/2014 Consens
Access Request
Research Team
RT1
Obligation Acceptance
Access Activity
Data Provider
PhysioNet
Privacy Policies
L2TAP Audit Log
Access Response
Performed Obligation
SCIP in the Medical Research Study
41. Compliance Checking via SPARQL
• Algorithm
1. Determine the individual satisfaction of each obligation
(ASK query)
2. Evaluate how the individual satisfaction of each
obligation contributes to the overall compliance of an
access request (multiple ASK queries)
3. Determine the access request compliance (SELECT
query)
• Representative compliance queries
– Which access requests are not compliant at time t?
– Which access requests have been discharged?
– What obligations are pending?
17/10/2014 Consens
42. SELECT DISTINCT ?request
WHERE {
?response scip:responseTo ?request .
?response scip:contextObligation ?obligation .
?response scip:accessDecision ?accessDecision .
FILTER ((!(φt
f) && (φt
p)) && ?accessDecision) }
Step 3 Compliance Checking Query
• Which access requests are not compliant at time t?
• Which access requests have been discharged?
• Which access requests are compliant at time t but are not yet
discharged?
Framework Extensibility:
Φ can be substituted by an
expressions that its
propositional value is deducted
from a more sophisticated
obligation model
4217/10/2014 Consens
43. Experimental Validation
• Experimental validation of the scalability and practicality
– Custom Java application (SyntheticSCIP) used to generate a hypothetical audit
log scenario with a growing number of access requests
– Six representative compliance queries timed using a Virtouso 6 installation on
an Ubuntu server
Q1
Q2
Q3
Q4
10 50 100 400 1,000
Q5
Q6
0
500
1000
1500
2000
2500
Time(seconds)
Access Requests (in thousands)17/10/2014 Consens