This document discusses querying RDF data stored in relational databases. It begins with an overview of RDF and how RDF triples can be represented as a subject-predicate-object (SPO) table. It then discusses how to write SQL queries to retrieve information from this SPO table, including path queries that require self-joins. The document concludes by covering two solutions for improving the performance of querying graph-shaped RDF data stored in relational databases: subject-property matrixes and vertical partitioning.
Jarrar: RDF Stores -Challenges and SolutionsMustafa Jarrar
Lecture Notes by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2014/01/web-data-management.html , and http://www.jarrar.info
you may also watch this lecture at: http://www.youtube.com/watch?v=chYftg1bJCg
The lecture covers:
Part I: Querying RDF(S P O) tables using SQL
Part 2: Practical Session (RDF graphs )
Part 3: SQL-based RDF Stores
The Dublin Core Metadata Initiative began in 1994 to develop a core set of metadata semantics for describing and searching resources on the web. It consists of 15 basic metadata elements such as title, creator, and description. Dublin Core records can be expressed using XML and the Resource Description Framework (RDF), representing relationships between resources with subject-predicate-object triples. The Dublin Core Metadata Initiative maintains guidelines and models to define implementation of Dublin Core metadata.
The document discusses the Palestinian e-Government Interoperability Framework (Zinnar). It begins with an outline of the lecture which includes an introduction to e-government frameworks and Zinnar. It then provides a simplified demo to explain what e-government is through an example of how different government ministries exchange electronic messages to enable e-services similarly to exchanging physical documents. The demo illustrates how a framework is needed to allow this interoperability between servers by addressing organizational, technical, and semantic issues. Finally, it discusses the five main frameworks that comprise the Palestinian e-government project including infrastructure, security, interoperability, legal, and policy frameworks.
Lecture Notes by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2014/01/sparql-rdf-query-language.html
and http://www.jarrar.info
The lecture covers:
- SPARQL Basics
- SPARQL Practical Session
The documents are annotated with RDFa using common ontologies like FOAF and Dublin Core. Projects are marked up as dct:Project and people as foaf:Person with properties like foaf:name and dct:title. Relationships between projects and people are indicated using rel.
This presentation is about:
- Introduction to OWL
- OWL Basics
- Class Expression Axioms
- Property Axioms
- Assertions
- Class Expressions -Propositional Connectives and Enumeration of Individuals
- Class Expressions -Property Restrictions
- Class Expressions -Cardinality Restrictions
RDF Schema provides the framework to describe application-specific classes and properties.
RDF Schema ‘semantically extends’ RDF to enable us to talk about classes of resources, and the properties that will be used with them.
Classes in RDF Schema is much like classes in object oriented programming languages. This allows resources to be defined as instances of classes, and subclasses of classes.
RDF schemas are Web resources (and have URIs) and can be described using RDF
This document provides an overview of storing Resource Description Framework (RDF) graphs in relational database management systems. Specifically:
- RDF represents data as subject-predicate-object triples that form a directed graph. This triples-based data model allows for easy data integration.
- RDF graphs are typically stored as a single subject-predicate-object table in a relational database for persistent storage.
- Queries to retrieve and manipulate data in the RDF graph can then be performed using SQL on this table.
Jarrar: RDF Stores -Challenges and SolutionsMustafa Jarrar
Lecture Notes by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2014/01/web-data-management.html , and http://www.jarrar.info
you may also watch this lecture at: http://www.youtube.com/watch?v=chYftg1bJCg
The lecture covers:
Part I: Querying RDF(S P O) tables using SQL
Part 2: Practical Session (RDF graphs )
Part 3: SQL-based RDF Stores
The Dublin Core Metadata Initiative began in 1994 to develop a core set of metadata semantics for describing and searching resources on the web. It consists of 15 basic metadata elements such as title, creator, and description. Dublin Core records can be expressed using XML and the Resource Description Framework (RDF), representing relationships between resources with subject-predicate-object triples. The Dublin Core Metadata Initiative maintains guidelines and models to define implementation of Dublin Core metadata.
The document discusses the Palestinian e-Government Interoperability Framework (Zinnar). It begins with an outline of the lecture which includes an introduction to e-government frameworks and Zinnar. It then provides a simplified demo to explain what e-government is through an example of how different government ministries exchange electronic messages to enable e-services similarly to exchanging physical documents. The demo illustrates how a framework is needed to allow this interoperability between servers by addressing organizational, technical, and semantic issues. Finally, it discusses the five main frameworks that comprise the Palestinian e-government project including infrastructure, security, interoperability, legal, and policy frameworks.
Lecture Notes by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2014/01/sparql-rdf-query-language.html
and http://www.jarrar.info
The lecture covers:
- SPARQL Basics
- SPARQL Practical Session
The documents are annotated with RDFa using common ontologies like FOAF and Dublin Core. Projects are marked up as dct:Project and people as foaf:Person with properties like foaf:name and dct:title. Relationships between projects and people are indicated using rel.
This presentation is about:
- Introduction to OWL
- OWL Basics
- Class Expression Axioms
- Property Axioms
- Assertions
- Class Expressions -Propositional Connectives and Enumeration of Individuals
- Class Expressions -Property Restrictions
- Class Expressions -Cardinality Restrictions
RDF Schema provides the framework to describe application-specific classes and properties.
RDF Schema ‘semantically extends’ RDF to enable us to talk about classes of resources, and the properties that will be used with them.
Classes in RDF Schema is much like classes in object oriented programming languages. This allows resources to be defined as instances of classes, and subclasses of classes.
RDF schemas are Web resources (and have URIs) and can be described using RDF
This document provides an overview of storing Resource Description Framework (RDF) graphs in relational database management systems. Specifically:
- RDF represents data as subject-predicate-object triples that form a directed graph. This triples-based data model allows for easy data integration.
- RDF graphs are typically stored as a single subject-predicate-object table in a relational database for persistent storage.
- Queries to retrieve and manipulate data in the RDF graph can then be performed using SQL on this table.
This document discusses the evolution of the web from Web 1.0 to Web 2.0 and introduces the concept of data mashups. It provides examples of popular Web 2.0 sites that expose APIs to allow integration and remixing of their data, such as Wikipedia, Flickr, YouTube, and social networks. Mashups are defined as web applications that combine data from multiple sources to create a new service. Challenges in building mashups around linking and querying data from different APIs are also outlined. The next steps in the web's evolution from Web 2.0 to Web 3.0 are noted to involve making the web of documents into a web of linked data.
The goal of the Semantic Web is
to create a universal medium for the exchange of DATA.
The Data Web envisions the web as a world-wide interlinked structured data.
Lecture video by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2011/09/knowledgeengineering-fall2011.html
and http://www.jarrar.info
and on Youtube:
http://www.youtube.com/watch?v=3_-HGnI6AZ0&list=PLDEA50C29F3D28257
This document provides instructions for a project on using SPARQL and Oracle Semantic Technology to query RDF data. Students will convert marksheets into RDF tables, combine the tables, and load them into Oracle and a SPARQL endpoint. They will write queries to retrieve data from the graph, including simple queries and queries with paths of different lengths. Students will deliver a report including screenshots of the tables and queries with their results and descriptions.
Jarrar: Data Integration and Fusion using RDFMustafa Jarrar
This document provides a lecture on data integration and fusion using RDF. It presents an example of integrating data from three governmental databases (Ministry of Justice, Chamber of Commerce, Ministry of Economy) about companies by transforming each database into RDF and concatenating the RDF graphs. Entities are then linked across datasets using URIs. A practical session is described where student groups will map university student records from three different data schemes into RDF and integrate the data, writing SPARQL queries over the integrated dataset.
The document outlines a course on knowledge engineering that is divided into three parts: conceptual data modeling, ontology engineering, and application scenarios for a final project, with each part covering readings, lectures, assignments, and exams on topics such as conceptual modeling, ontologies, and semantic applications.
1) The document discusses data integration and the challenges of integrating data from different sources. It provides examples of how the same business registered in different government databases can have inconsistencies in naming, data values, and structure.
2) Key challenges of data integration are identified as heterogeneities in database schemas, including differences in naming, meaning, structure and type of attributes, as well as differences in data models.
3) Resolving these heterogeneities is important for tasks like querying multiple distributed databases as a single source, as envisioned by the data web.
Lecture Notes by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2014/01/web-data-management.html
and http://www.jarrar.info
you may also watch this lecture at: http://www.youtube.com/watch?v=rH9mksypcNw
The lecture covers Data Integration and Fusion
Lecture Notes by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2014/01/rdfs-rdf-schema.html
and http://www.jarrar.info
you may also watch this lecture at: http://www.youtube.com/watch?v=-vSFKHKx2ms
The lecture covers:
- RDF Schema
- Describing Classes with RDFS
- Describing Properties with RDF(S)
- Main RDFS constructs
- RDFS is not enough
Jarrar: The Next Generation of the Web 3.0: The Semantic Web VesionMustafa Jarrar
This document discusses notes from a lecture on the Semantic Web and Web 3.0. It introduces the Semantic Web vision of adding semantic meaning to web pages so search results can be based on meaning rather than just string matching. An example is given of searching for a developer job within 10 minutes of Ramallah, and how current search returns bad results, whereas semantic search could provide better, more meaningful results by understanding data embedded in web pages. The document outlines the Semantic Web concept of a web of linked data that can be processed by machines, as well as the W3C definition and goals of encouraging semantic content and conversion of the web to a web of data through meaningful relations between things.
Lecture Notes by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2014/01/owl-web-ontology-language.html
and http://www.jarrar.info
you may also watch this lecture at: http://www.youtube.com/watch?v=5Kr4JzqDO_w
The lecture covers:
- Introduction to OWL
- OWL Basics
- Class Expression Axioms
- Property Axioms
- Assertions
- Class Expressions -Propositional Connectives and Enumeration of Individuals
- Class Expressions? -Property Restrictions
- Class Expressions? -Cardinality Restrictions
Lecture slides by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2011/09/knowledgeengineering-fall2011.html and http://www.jarrar.info
and on Youtube:
http://www.youtube.com/watch?v=3_-HGnI6AZ0&list=PLDEA50C29F3D28257
Lecture Notes Knowledge Engineering (Ch3)
This document discusses data schema integration, which involves identifying correspondences between elements in different data schemas that describe the same real-world concepts, and resolving conflicts between the schemas. The integration process includes schema transformation to homogenize the schemas, schema matching to discover correspondences, and schema integration to generate a unified schema and mapping rules between the integrated schema and source schemas. This resolves conflicts through classification, structural, descriptive and other transformations. Semi-automatic and manual methods can be used for the integration process.
This document provides an overview of a training course on RDF, SPARQL and semantic repositories. The training course took place in August 2010 in Montreal as part of the 3rd GATE training course. The document outlines the modules covered in the course, including introductions to RDF/S and OWL semantics, querying RDF data with SPARQL, semantic repositories and benchmarking triplestores.
Keyword-based Search and Exploration on Databases (SIGMOD 2011)weiw_oz
Keyword-based search aims to support searching databases using keywords rather than structured queries. This allows for a large user population but comes with challenges including structural and keyword ambiguity. The tutorial discusses approaches to infer structure from keywords and rank candidate structures and results to provide high-quality answers. Future work includes better handling of keyword ambiguity and more effective result analysis and exploration.
This document provides an overview of object-oriented databases. It introduces object-oriented programming concepts like encapsulation, polymorphism and inheritance. It then discusses how object-oriented databases combine these concepts with database principles like ACID properties. Advantages include being integrated with programming languages and automatic method storage. Disadvantages include requiring object-oriented programming and high costs to convert data. The document also discusses the Object Query Language and provides an example query in OQL.
This document summarizes an introductory webinar on building an enterprise knowledge graph from RDF data using TigerGraph. It introduces RDF and knowledge graphs, demonstrates loading DBpedia data into a TigerGraph graph database using a universal schema, and provides examples of queries to extract information from the graph such as related people, publishers by location, and related topics for a given predicate. The webinar encourages attendees to learn more about graph databases and TigerGraph through additional resources and future webinar episodes.
This document provides an overview of a course on digital humanities. It outlines the topics that will be covered in each of the 12 classes, including introductions to digital humanities, semantic modeling, crowdsourcing and visualization. One class focuses specifically on semantic coding and modeling using standards like RDF, URIs, OWL and SPARQL. It also discusses ontologies like CIDOC-CRM that can be used to semantically represent cultural heritage data.
Although the amount of Linked Data published on the web is steady increasing, its consumption is still mainly limited to technical users and domain experts. Thus, it is necessary to foster intuitive visualizations of Linked Data, in order to support users without a technical background. DBpedia Mobile Explorer is a visualization framework to enable non-experts to visualize Linked Data on mobile devices relying on DBpedia (the Linked Data version of Wikipedia).
This document summarizes the development of Coursera courses at Johns Hopkins University from 2012-2014. It notes key events including the initial announcement of a partnership with Coursera in July 2012, the first courses being run by Brian Caffo and Roger Peng starting in September 2012, and Jeff Leek running his "Data Analysis" course starting in January 2013. It discusses scaling of enrollment, approaches to building out a data science specialization, and financial details. The document reflects on reasons for their early success in MOOCs including speed, leveraging existing infrastructure, and attracting an orthogonal student population.
This document discusses the evolution of the web from Web 1.0 to Web 2.0 and introduces the concept of data mashups. It provides examples of popular Web 2.0 sites that expose APIs to allow integration and remixing of their data, such as Wikipedia, Flickr, YouTube, and social networks. Mashups are defined as web applications that combine data from multiple sources to create a new service. Challenges in building mashups around linking and querying data from different APIs are also outlined. The next steps in the web's evolution from Web 2.0 to Web 3.0 are noted to involve making the web of documents into a web of linked data.
The goal of the Semantic Web is
to create a universal medium for the exchange of DATA.
The Data Web envisions the web as a world-wide interlinked structured data.
Lecture video by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2011/09/knowledgeengineering-fall2011.html
and http://www.jarrar.info
and on Youtube:
http://www.youtube.com/watch?v=3_-HGnI6AZ0&list=PLDEA50C29F3D28257
This document provides instructions for a project on using SPARQL and Oracle Semantic Technology to query RDF data. Students will convert marksheets into RDF tables, combine the tables, and load them into Oracle and a SPARQL endpoint. They will write queries to retrieve data from the graph, including simple queries and queries with paths of different lengths. Students will deliver a report including screenshots of the tables and queries with their results and descriptions.
Jarrar: Data Integration and Fusion using RDFMustafa Jarrar
This document provides a lecture on data integration and fusion using RDF. It presents an example of integrating data from three governmental databases (Ministry of Justice, Chamber of Commerce, Ministry of Economy) about companies by transforming each database into RDF and concatenating the RDF graphs. Entities are then linked across datasets using URIs. A practical session is described where student groups will map university student records from three different data schemes into RDF and integrate the data, writing SPARQL queries over the integrated dataset.
The document outlines a course on knowledge engineering that is divided into three parts: conceptual data modeling, ontology engineering, and application scenarios for a final project, with each part covering readings, lectures, assignments, and exams on topics such as conceptual modeling, ontologies, and semantic applications.
1) The document discusses data integration and the challenges of integrating data from different sources. It provides examples of how the same business registered in different government databases can have inconsistencies in naming, data values, and structure.
2) Key challenges of data integration are identified as heterogeneities in database schemas, including differences in naming, meaning, structure and type of attributes, as well as differences in data models.
3) Resolving these heterogeneities is important for tasks like querying multiple distributed databases as a single source, as envisioned by the data web.
Lecture Notes by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2014/01/web-data-management.html
and http://www.jarrar.info
you may also watch this lecture at: http://www.youtube.com/watch?v=rH9mksypcNw
The lecture covers Data Integration and Fusion
Lecture Notes by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2014/01/rdfs-rdf-schema.html
and http://www.jarrar.info
you may also watch this lecture at: http://www.youtube.com/watch?v=-vSFKHKx2ms
The lecture covers:
- RDF Schema
- Describing Classes with RDFS
- Describing Properties with RDF(S)
- Main RDFS constructs
- RDFS is not enough
Jarrar: The Next Generation of the Web 3.0: The Semantic Web VesionMustafa Jarrar
This document discusses notes from a lecture on the Semantic Web and Web 3.0. It introduces the Semantic Web vision of adding semantic meaning to web pages so search results can be based on meaning rather than just string matching. An example is given of searching for a developer job within 10 minutes of Ramallah, and how current search returns bad results, whereas semantic search could provide better, more meaningful results by understanding data embedded in web pages. The document outlines the Semantic Web concept of a web of linked data that can be processed by machines, as well as the W3C definition and goals of encouraging semantic content and conversion of the web to a web of data through meaningful relations between things.
Lecture Notes by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2014/01/owl-web-ontology-language.html
and http://www.jarrar.info
you may also watch this lecture at: http://www.youtube.com/watch?v=5Kr4JzqDO_w
The lecture covers:
- Introduction to OWL
- OWL Basics
- Class Expression Axioms
- Property Axioms
- Assertions
- Class Expressions -Propositional Connectives and Enumeration of Individuals
- Class Expressions? -Property Restrictions
- Class Expressions? -Cardinality Restrictions
Lecture slides by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2011/09/knowledgeengineering-fall2011.html and http://www.jarrar.info
and on Youtube:
http://www.youtube.com/watch?v=3_-HGnI6AZ0&list=PLDEA50C29F3D28257
Lecture Notes Knowledge Engineering (Ch3)
This document discusses data schema integration, which involves identifying correspondences between elements in different data schemas that describe the same real-world concepts, and resolving conflicts between the schemas. The integration process includes schema transformation to homogenize the schemas, schema matching to discover correspondences, and schema integration to generate a unified schema and mapping rules between the integrated schema and source schemas. This resolves conflicts through classification, structural, descriptive and other transformations. Semi-automatic and manual methods can be used for the integration process.
This document provides an overview of a training course on RDF, SPARQL and semantic repositories. The training course took place in August 2010 in Montreal as part of the 3rd GATE training course. The document outlines the modules covered in the course, including introductions to RDF/S and OWL semantics, querying RDF data with SPARQL, semantic repositories and benchmarking triplestores.
Keyword-based Search and Exploration on Databases (SIGMOD 2011)weiw_oz
Keyword-based search aims to support searching databases using keywords rather than structured queries. This allows for a large user population but comes with challenges including structural and keyword ambiguity. The tutorial discusses approaches to infer structure from keywords and rank candidate structures and results to provide high-quality answers. Future work includes better handling of keyword ambiguity and more effective result analysis and exploration.
This document provides an overview of object-oriented databases. It introduces object-oriented programming concepts like encapsulation, polymorphism and inheritance. It then discusses how object-oriented databases combine these concepts with database principles like ACID properties. Advantages include being integrated with programming languages and automatic method storage. Disadvantages include requiring object-oriented programming and high costs to convert data. The document also discusses the Object Query Language and provides an example query in OQL.
This document summarizes an introductory webinar on building an enterprise knowledge graph from RDF data using TigerGraph. It introduces RDF and knowledge graphs, demonstrates loading DBpedia data into a TigerGraph graph database using a universal schema, and provides examples of queries to extract information from the graph such as related people, publishers by location, and related topics for a given predicate. The webinar encourages attendees to learn more about graph databases and TigerGraph through additional resources and future webinar episodes.
This document provides an overview of a course on digital humanities. It outlines the topics that will be covered in each of the 12 classes, including introductions to digital humanities, semantic modeling, crowdsourcing and visualization. One class focuses specifically on semantic coding and modeling using standards like RDF, URIs, OWL and SPARQL. It also discusses ontologies like CIDOC-CRM that can be used to semantically represent cultural heritage data.
Although the amount of Linked Data published on the web is steady increasing, its consumption is still mainly limited to technical users and domain experts. Thus, it is necessary to foster intuitive visualizations of Linked Data, in order to support users without a technical background. DBpedia Mobile Explorer is a visualization framework to enable non-experts to visualize Linked Data on mobile devices relying on DBpedia (the Linked Data version of Wikipedia).
This document summarizes the development of Coursera courses at Johns Hopkins University from 2012-2014. It notes key events including the initial announcement of a partnership with Coursera in July 2012, the first courses being run by Brian Caffo and Roger Peng starting in September 2012, and Jeff Leek running his "Data Analysis" course starting in January 2013. It discusses scaling of enrollment, approaches to building out a data science specialization, and financial details. The document reflects on reasons for their early success in MOOCs including speed, leveraging existing infrastructure, and attracting an orthogonal student population.
The document discusses the concept of software craftsmanship, which aims to improve software development through values, responsibility, discipline, and practices like iterative development, automated testing, simplicity, collaboration, and continuous improvement. It emphasizes learning skills like writing high-quality code, testing, and refactoring through an apprentice-like model. The goal is for developers to think of themselves as craftsmen who produce well-designed, readable code for other programmers.
Build Knowledge Graphs with Oracle RDF to Extract More Value from Your DataJean Ihm
AnD Summit '19 slides - Souri Das, Matthew Perry, Melli Annamalai. This presentation covers knowledge graphs built using the RDF capabilities of Oracle Spatial and Graph. We will illustrate how to define a knowledge graph, create virtual or materialized graphs from existing data (relational tables, CSV files, etc.), derive new knowledge through logical inference, navigate and query graphs using W3C standards, analyze knowledge graphs with graph algorithms, and more. Real-world use cases from various industries will also be shared.
This document contains templates for various types of presentation slides including intro slides, content slides, comparison slides, charts, diagrams, and contact slides. The slides can be customized with own text, images, and data. Templates include options for bullet points, text, images, charts, diagrams, and more.
This presentation was given at the International Workshop on Interacting with Linked Data (ILD 2012) co-located with the 9th Extended Semantic Web Conference 2012, Heraklion, and is related the publication of the same title.
Much research has been done to combine the fields of Data-bases and Natural Language Processing. While many works focus on the problem of deriving a structured query for a given natural language question, the problem of query verbalization -- translating a structured query into natural language -- is less explored. In this work we describe our approach to verbalizing SPARQL queries in order to create natural language expressions that are readable and understandable by the human day-to-day user. These expressions are helpful when having search engines that generate SPARQL queries for user-provided natural language questions or keywords. Displaying verbalizations of generated queries to a user enables the user to check whether the right question has been understood. While our approach enables verbalization of only a subset of SPARQL 1.1, this subset applies to 90% of the 209 queries in our training set. These observations are based on a corpus of SPARQL queries consisting of datasets from the QALD-1 challenge and the ILD2012 challenge.
The publication is available at http://www.aifb.kit.edu/images/b/b7/VerbalizingSparqlQueries.pdf
The document discusses using semantic web technologies to solve Yahoo!'s problems of siloed content across sites that doesn't allow for natural browsing. It describes how semantic standards like RDF, RDF Schema and OWL can be used to represent relationships between content as graphs of subject-predicate-object triples stored in a purpose-built graph database. This allows content to be queried and automatically linked based on relationships, breaking down silos and surfacing related content across sites.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM