This 15 minute presentation shows how we can use multiple SPARQL endpoints to integrate biological data. SPARQL we no longer need to start a data warehouse project to integrate multiple datasources we just use the SPARQL 1.1 service keyword.
EUGM 2013 - Bernd Rupp (FMP) Chemical Information systems: From compound coll...ChemAxon
The FMP has developed a database of commercially available compounds which is used to design our in-house HTS collection and is additionally applied to create focused libraries. But the dramatically increase of unique compounds of one order of magnitude from less than 10 to around 30 to 40 million compounds currently and approximately hundred million compounds in the next years requires a reorganization and redevelopment of our storage and searching strategy. To manage such a massive amount of data we developed a Registration Database for registration and normalisation of vendor catalogues. This database contains the highly redundant data of the vendor catalogues and is converted in a second step into the non-redundant Unique Structure Database which represents a data warehouse combining vendor data, structural descriptors and in-house classification tools including our earlier developed ADMET- and reactivity filters as well as our in-house fragment-based fingerprints used for library design tasks. The management of both database systems is part of a new developed Java application, which handles the user management for the data upload in the Registration Database and the conversion into the Unique Structure Database. Further a first version of a Web service is in preparation. This service allows the scientist not only to search for compounds and fragments in the Unique Structure Database but also to combine such a search with the FMP tools to classify compounds for their usability in biological assays.
Towards ubiquitous OWL computing: Simplifying programmatic authoring of and q...Hilmar Lapp
Presentation about two small tools addressing gaps commonly encountered when computing and programming with OWL (the Web Ontology Language) at scale. Given at the 2014 Bioinformatics Open Source Conference (BOSC).
The video of the talk is here: http://youtu.be/K0SlYwMyn-A
FAIRDOM - FAIR Asset management and sharing experiences in Systems and Synthe...Carole Goble
Over the past 5 years we have seen a change in expectations for the management of all the outcomes of research – that is the “assets” of data, models, codes, SOPs and so forth. Don’t stop reading. Data management isn’t likely to win anyone a Nobel prize. But publications should be supported and accompanied by data, methods, procedures, etc. to assure reproducibility of results. Funding agencies expect data (and increasingly software) management retention and access plans as part of the proposal process for projects to be funded. Journals are raising their expectations of the availability of data and codes for pre- and post- publication. The multi-component, multi-disciplinary nature of Systems Biology demands the interlinking and exchange of assets and the systematic recording
of metadata for their interpretation.
The FAIR Guiding Principles for scientific data management and stewardship (http://www.nature.com/articles/sdata201618) has been an effective rallying-cry for EU and USA Research Infrastructures. FAIRDOM (Findable, Accessible, Interoperable, Reusable Data, Operations and Models) Initiative has 8 years of experience of asset sharing and data infrastructure ranging across European programmes (SysMO and EraSysAPP ERANets), national initiatives (de.NBI, German Virtual Liver Network, UK SynBio centres) and PI's labs. It aims to support Systems and Synthetic Biology researchers with data and model management, with an emphasis on standards smuggled in by stealth and sensitivity to asset sharing and credit anxiety.
This talk will use the FAIRDOM Initiative to discuss the FAIR management of data, SOPs, and models for Sys Bio, highlighting the challenges of and approaches to sharing, credit, citation and asset infrastructures in practice. I'll also highlight recent experiments in affecting sharing using behavioural interventions.
http://www.fair-dom.org
http://www.fairdomhub.org
http://www.seek4science.org
Presented at COMBINE 2016, Newcastle, 19 September.
http://co.mbine.org/events/COMBINE_2016
Sparql semantic information retrieval byIJNSA Journal
Semantic web document representation is formulated using RDF/OWL. RDF representation is in the form
of triples & OWL in form of ontologies. The above representation leads to a data set which needs to be
queried using software agents, machines. W3C has recommended SPARQL to be the de facto query
language for RDF. This paper proposes to suggest a model to enable SPARQL to make search efficient,
easier and produce meaningful search distinguished on the basis of preposition. An RDF data source
primarily consist of data that is represented in the form of a Triple pattern which has an appropriate RDF
syntax and further results into an RDF Graph .The RDF repository stores the Data on Subject, Predicate,
Object Model. The Predicate may also be thought of as a property linking the Subject and Object. This
paper shall evaluate the information retrieval by incorporating preposition as property.
Resource Description Framework Approach to Data Publication and FederationPistoia Alliance
Bob Stanley, CEO, IO Informatics, explains the utility to RDF as a standard way of defining and redefining data that could have utility in managing life science information.
SPARQL: SEMANTIC INFORMATION RETRIEVAL BY EMBEDDING PREPOSITIONSIJNSA Journal
Semantic web document representation is formulated using RDF/OWL. RDF representation is in the form of triples & OWL in form of ontologies. The above representation leads to a data set which needs to be queried using software agents, machines. W3C has recommended SPARQL to be the de facto query language for RDF. This paper proposes to suggest a model to enable SPARQL to make search efficient, easier and produce meaningful search distinguished on the basis of preposition. An RDF data source primarily consist of data that is represented in the form of a Triple pattern which has an appropriate RDF syntax and further results into an RDF Graph .The RDF repository stores the Data on Subject, Predicate, Object Model. The Predicate may also be thought of as a property linking the Subject and Object. This paper shall evaluate the information retrieval by incorporating preposition as property.
Getting the best of Linked Data and Property Graphs: rdf2neo and the KnetMine...Rothamsted Research, UK
Graph-based modelling is becoming more popular, in the sciences and elsewhere, as a flexible and powerful way to exploit data to power world-changing digital applications. Com- pared to the initial vision of the Semantic Web, knowledge graphs and graph databases are be- coming a practical and computationally less formal way to manage graph data. On the other hand, linked data based on Semantic Web standards are a complementary, rather than alternative, ap- proach to deal with these data, since they still provide a common way to represent and exchange information. In this paper we introduce rdf2neo, a tool to populate Neo4j databases starting from RDF data sets, based on a configurable mapping between the two. By employing agrigenomics- related real use cases, we show how such mapping can allow for a hybrid approach to the man- agement of networked knowledge, based on taking advantage of the best of both RDF and prop- erty graphs.
Semantic Variation Graphs the case for RDF & SPARQLJerven Bolleman
Presentation given to the GA4GH dataworking group. It starts with an introduction to what RDF is followed by how one can model genomic variation graphs in RDF. Then we show how one can use SPARQL to query this data.
EUGM 2013 - Bernd Rupp (FMP) Chemical Information systems: From compound coll...ChemAxon
The FMP has developed a database of commercially available compounds which is used to design our in-house HTS collection and is additionally applied to create focused libraries. But the dramatically increase of unique compounds of one order of magnitude from less than 10 to around 30 to 40 million compounds currently and approximately hundred million compounds in the next years requires a reorganization and redevelopment of our storage and searching strategy. To manage such a massive amount of data we developed a Registration Database for registration and normalisation of vendor catalogues. This database contains the highly redundant data of the vendor catalogues and is converted in a second step into the non-redundant Unique Structure Database which represents a data warehouse combining vendor data, structural descriptors and in-house classification tools including our earlier developed ADMET- and reactivity filters as well as our in-house fragment-based fingerprints used for library design tasks. The management of both database systems is part of a new developed Java application, which handles the user management for the data upload in the Registration Database and the conversion into the Unique Structure Database. Further a first version of a Web service is in preparation. This service allows the scientist not only to search for compounds and fragments in the Unique Structure Database but also to combine such a search with the FMP tools to classify compounds for their usability in biological assays.
Towards ubiquitous OWL computing: Simplifying programmatic authoring of and q...Hilmar Lapp
Presentation about two small tools addressing gaps commonly encountered when computing and programming with OWL (the Web Ontology Language) at scale. Given at the 2014 Bioinformatics Open Source Conference (BOSC).
The video of the talk is here: http://youtu.be/K0SlYwMyn-A
FAIRDOM - FAIR Asset management and sharing experiences in Systems and Synthe...Carole Goble
Over the past 5 years we have seen a change in expectations for the management of all the outcomes of research – that is the “assets” of data, models, codes, SOPs and so forth. Don’t stop reading. Data management isn’t likely to win anyone a Nobel prize. But publications should be supported and accompanied by data, methods, procedures, etc. to assure reproducibility of results. Funding agencies expect data (and increasingly software) management retention and access plans as part of the proposal process for projects to be funded. Journals are raising their expectations of the availability of data and codes for pre- and post- publication. The multi-component, multi-disciplinary nature of Systems Biology demands the interlinking and exchange of assets and the systematic recording
of metadata for their interpretation.
The FAIR Guiding Principles for scientific data management and stewardship (http://www.nature.com/articles/sdata201618) has been an effective rallying-cry for EU and USA Research Infrastructures. FAIRDOM (Findable, Accessible, Interoperable, Reusable Data, Operations and Models) Initiative has 8 years of experience of asset sharing and data infrastructure ranging across European programmes (SysMO and EraSysAPP ERANets), national initiatives (de.NBI, German Virtual Liver Network, UK SynBio centres) and PI's labs. It aims to support Systems and Synthetic Biology researchers with data and model management, with an emphasis on standards smuggled in by stealth and sensitivity to asset sharing and credit anxiety.
This talk will use the FAIRDOM Initiative to discuss the FAIR management of data, SOPs, and models for Sys Bio, highlighting the challenges of and approaches to sharing, credit, citation and asset infrastructures in practice. I'll also highlight recent experiments in affecting sharing using behavioural interventions.
http://www.fair-dom.org
http://www.fairdomhub.org
http://www.seek4science.org
Presented at COMBINE 2016, Newcastle, 19 September.
http://co.mbine.org/events/COMBINE_2016
Sparql semantic information retrieval byIJNSA Journal
Semantic web document representation is formulated using RDF/OWL. RDF representation is in the form
of triples & OWL in form of ontologies. The above representation leads to a data set which needs to be
queried using software agents, machines. W3C has recommended SPARQL to be the de facto query
language for RDF. This paper proposes to suggest a model to enable SPARQL to make search efficient,
easier and produce meaningful search distinguished on the basis of preposition. An RDF data source
primarily consist of data that is represented in the form of a Triple pattern which has an appropriate RDF
syntax and further results into an RDF Graph .The RDF repository stores the Data on Subject, Predicate,
Object Model. The Predicate may also be thought of as a property linking the Subject and Object. This
paper shall evaluate the information retrieval by incorporating preposition as property.
Resource Description Framework Approach to Data Publication and FederationPistoia Alliance
Bob Stanley, CEO, IO Informatics, explains the utility to RDF as a standard way of defining and redefining data that could have utility in managing life science information.
SPARQL: SEMANTIC INFORMATION RETRIEVAL BY EMBEDDING PREPOSITIONSIJNSA Journal
Semantic web document representation is formulated using RDF/OWL. RDF representation is in the form of triples & OWL in form of ontologies. The above representation leads to a data set which needs to be queried using software agents, machines. W3C has recommended SPARQL to be the de facto query language for RDF. This paper proposes to suggest a model to enable SPARQL to make search efficient, easier and produce meaningful search distinguished on the basis of preposition. An RDF data source primarily consist of data that is represented in the form of a Triple pattern which has an appropriate RDF syntax and further results into an RDF Graph .The RDF repository stores the Data on Subject, Predicate, Object Model. The Predicate may also be thought of as a property linking the Subject and Object. This paper shall evaluate the information retrieval by incorporating preposition as property.
Getting the best of Linked Data and Property Graphs: rdf2neo and the KnetMine...Rothamsted Research, UK
Graph-based modelling is becoming more popular, in the sciences and elsewhere, as a flexible and powerful way to exploit data to power world-changing digital applications. Com- pared to the initial vision of the Semantic Web, knowledge graphs and graph databases are be- coming a practical and computationally less formal way to manage graph data. On the other hand, linked data based on Semantic Web standards are a complementary, rather than alternative, ap- proach to deal with these data, since they still provide a common way to represent and exchange information. In this paper we introduce rdf2neo, a tool to populate Neo4j databases starting from RDF data sets, based on a configurable mapping between the two. By employing agrigenomics- related real use cases, we show how such mapping can allow for a hybrid approach to the man- agement of networked knowledge, based on taking advantage of the best of both RDF and prop- erty graphs.
Semantic Variation Graphs the case for RDF & SPARQLJerven Bolleman
Presentation given to the GA4GH dataworking group. It starts with an introduction to what RDF is followed by how one can model genomic variation graphs in RDF. Then we show how one can use SPARQL to query this data.
Talk describing the uniprot sparql endpoint as it is in production, some details about hardware, query load, challenges and why uniprot provides a SPARQL service.
Tutorial on SPARQL 1.1 given at SWAT4LS 2012 in paris to a full room. This material covers enough to get started and includes working with Topbraid Composer.
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.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
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.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
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.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.