These slides are a brief update on the status of the work of the current SPARQL Working Group. "SPARQL 1.1" collectively refers to the upcoming versions of the SPARQL query language, SPARQL update language, and other deliverables of the 2nd (current) SPARQL Working Group.
"SPARQL Cheat Sheet" is a short collection of slides intended to act as a guide to SPARQL developers. It includes the syntax and structure of SPARQL queries, common SPARQL prefixes and functions, and help with RDF datasets.
The "SPARQL Cheat Sheet" is intended to accompany the SPARQL By Example slides available at http://www.cambridgesemantics.com/2008/09/sparql-by-example/ .
These slides are a brief update on the status of the work of the current SPARQL Working Group. "SPARQL 1.1" collectively refers to the upcoming versions of the SPARQL query language, SPARQL update language, and other deliverables of the 2nd (current) SPARQL Working Group.
"SPARQL Cheat Sheet" is a short collection of slides intended to act as a guide to SPARQL developers. It includes the syntax and structure of SPARQL queries, common SPARQL prefixes and functions, and help with RDF datasets.
The "SPARQL Cheat Sheet" is intended to accompany the SPARQL By Example slides available at http://www.cambridgesemantics.com/2008/09/sparql-by-example/ .
I used these slides for an introductory lecture (90min) to a seminar on SPARQL. This slideset introduces the RDF query language SPARQL from a user's perspective.
Two graph data models : RDF and Property Graphsandyseaborne
Talk given at ApacheConEU Big Data 2015.
This talk describes the two common graph data approaches, RDF and Property Graphs. It concludes with observations about the different emphasis of each and where each is focused.
I used these slides for an introductory lecture (90min) to a seminar on SPARQL. This slideset introduces the semantics of the RDF query language SPARQL.
Compare and contrast RDF triple stores and NoSQL: are triples stores NoSQL or not?
Talk given 2011-09-08 tot he BigData/NoSQL meetup at Bristol University.
A relatively short Introduction to R as presented at the Belgian Software Craftmanship meetup group.
The goal of this presentation is to give you an introduction to:
• The style of the language
• It's ecosystem
• How common things like data manipulation and visualization work
• How to use it for machine learning
• Webdevelopment and report generation in R
• Integrating R in your system
License:
Introduction To R by Samuel Bosch
To the extent possible under law, the person who associated CC0 with Introduction To R has waived all copyright and related or neighboring rights
to Introduction To R.
http://creativecommons.org/publicdomain/zero/1.0/
I used these slides for an introductory lecture (90min) to a seminar on SPARQL. This slideset introduces the RDF query language SPARQL from a user's perspective.
Two graph data models : RDF and Property Graphsandyseaborne
Talk given at ApacheConEU Big Data 2015.
This talk describes the two common graph data approaches, RDF and Property Graphs. It concludes with observations about the different emphasis of each and where each is focused.
I used these slides for an introductory lecture (90min) to a seminar on SPARQL. This slideset introduces the semantics of the RDF query language SPARQL.
Compare and contrast RDF triple stores and NoSQL: are triples stores NoSQL or not?
Talk given 2011-09-08 tot he BigData/NoSQL meetup at Bristol University.
A relatively short Introduction to R as presented at the Belgian Software Craftmanship meetup group.
The goal of this presentation is to give you an introduction to:
• The style of the language
• It's ecosystem
• How common things like data manipulation and visualization work
• How to use it for machine learning
• Webdevelopment and report generation in R
• Integrating R in your system
License:
Introduction To R by Samuel Bosch
To the extent possible under law, the person who associated CC0 with Introduction To R has waived all copyright and related or neighboring rights
to Introduction To R.
http://creativecommons.org/publicdomain/zero/1.0/
Validating and Describing Linked Data Portals using RDF Shape ExpressionsJose Emilio Labra Gayo
Presentation at 1st Linked Data Quality Workshop, Leipzig, 2nd Sept. 2014
Author: Jose Emilio Labra Gayo
Applies Shapes Expressions to validate the WebIndex linked data portal
The aim of the EU FP 7 Large-Scale Integrating Project LarKC is to develop the Large Knowledge Collider (LarKC, for short, pronounced “lark”), a platform for massive distributed incomplete reasoning that will remove the scalability barriers of currently existing reasoning systems for the Semantic Web. The LarKC platform is available at larkc.sourceforge.net. This talk, is part of a tutorial for early users of the LarKC platform, and describes the data model used within LarKC.
Explicit Semantics in Graph DBs Driving Digital Transformation With Neo4jConnected Data World
Dr. Jesús Barrasa's slides from his talk at Connected Data London. Jesús, who is a senior field engineer at Neo4j presented how semantic web principles can be used in a graph database.
Towards Virtual Knowledge Graphs over Web APIsSpeck&Tech
ABSTRACT: Knowledge Graphs (KGs) are an emerging, highly flexible and Web-friendly technology for integrating, representing, and querying semi-structured data in a semantically rich model formalized by an Ontology. KGs may be built using specialized data management software (e.g., triplestores) or, by leveraging suitable mappings and query rewriting techniques, as "Virtual Knowledge Graph" (VKG) views over some legacy data source, such as a relational database. In this talk, we provide background information on VKGs and their underlying technologies, with particular emphasis on the open-source Ontop VKG engine, and we discuss ongoing research and development efforts towards their extension to Web APIs as a non-relational data source of practical relevance. This extension, supported by the HIVE and OntoCRM projects, would also enable transparent access to both static relational data and dynamically-computed Web API data as part of a regular VKG query.
BIO: Francesco Corcoglioniti is a researcher at the Free University of Bozen-Bolzano, Italy, where he contributes to research, development, and project collaborations related to Virtual Knowledge Graphs (VKG), their extensions, and their implementation in the open-source Ontop system.
The formulation of constraints and the validation of RDF data against these constraints is a common requirement and a much sought-after feature, particularly as this is taken for granted in the XML world. Recently, RDF validation as a research field gained speed due to shared needs of data practitioners from a variety of domains. For constraint formulation and RDF data validation, several languages exist or are currently developed. Yet, none of the languages is able to meet all requirements raised by data professionals.
We have published a set of constraint types that are required by diverse stakeholders for data applications. We use these constraint types to gain a better understanding of the expressiveness of solutions, investigate the role that reasoning plays in practical data validation, and give directions for the further development of constraint languages.
We introduce a validation framework that enables to consistently execute RDF-based constraint languages on RDF data and to formulate constraints of any type in a way that mappings from high-level constraint languages to an intermediate generic representation can be created straight-forwardly. The framework reduces the representation of constraints to the absolute minimum, is based on formal logics, and consists of a very simple conceptual model with a small lightweight vocabulary. We demonstrate that using another layer on top of SPARQL ensures consistency regarding validation results and enables constraint transformations for each constraint type across RDF-based constraint languages.
We propose a set of optimizations that can be applied to a given SPARQL query, and that guarantee that the optimized query has the same answers under bag semantics as the original query, provided that the queried RDF graph validates certain SHACL constraints. We prove the correctness of these optimizations and show how they can be propagated to larger queries while preserving answers. Further, we prove the confluence of rewritings that employ these optimizations, guaranteeing convergence to the same optimized query regardless of the rewriting order.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
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.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
2. Outline
Why Do We Want to Integrate Data?
Schema Mapping
Translating RDF Data with SPARQL 1.1
Mapping Patterns
3. Motivation
Web of Data is heterogeneous
Many different and overlapping ways to
represent information
Distribution of the most widely used vocabularies
4. Data is represented...
Using terms from a wide range of vocabularies
Using diverging structures
With values of different (data type) formats
Fine grained vs. coarse grained
Using different measuring units
7. Value Level Differences
“2012-04-15” vs. “2012-04-15”^^xsd:date
“John Doe” vs. “John Doe”@en
20 in Celcius vs. 68 in Fahrenheit
“Doe, John” vs. “John Doe”
8. Outline
Motivation
Schema Mapping
Translating RDF Data with SPARQL 1.1
Mapping Patterns
9. Schema Mapping
For data translation:
A mapping specifies how data under a source
representation is translated to a target
representation, that is, the representation that you
or your application expects.
10. Ways to Express Executable
Mappings for RDF Data
Ontology constructs
OWL, RDFS (rdfs:subClassOf, rdfs:subPropertyOf)
Rules
SWRL
RIF
Query Languages
SPARQL 1.1
11. Outline
Motivation
Schema Mapping
Translating RDF Data with SPARQL 1.1
Mapping Patterns
12. Data Translation with SPARQL 1.1
Nearly W3C Recommendation status
Many scalable SPARQL engine
implementations out there
Data translation with SPARQL CONSTRUCT
Huge improvements to version 1.0 regarding
data translation
13. How to Use SPARQL Construct
Mappings Ideally
SELECT ?longTrack ?runtime
FROM {
Construct {
?subj target:relevantProperty ?obj
} WHERE {
?subj sour:relProperty ?obj
}
} WHERE {
?subj target:relevantProperty ?obj .
…
}
14. How to Use SPARQL Construct
Mappings in Practice
SELECT ?longTrack ?runtime
FROM {
Construct {
?subj target:relevantProperty ?obj
} WHERE {
?subj sour:relProperty ?obj
}
} WHERE {
?subj target:relevantProperty ?obj .
…
}
15. Possibilities
Execute all SPARQL Construct queries on the
source data set(s) to generate local versions of
the target data set(s)
Optionally merge multiple target data sets into
one
Reference these files in FROM clause
Possibility we won't cover: Write the results
directly into a RDF store and query the store.
16. 1. Transform Data Sets with ARQ
query –query=constructQuery.qry –data=sourceDataset.nt > targetDataset.ttl
# Execute more queries
…
17. 2. Use Target Data Set Files in Query
SELECT ?longTrack ?runtime
FROM <targetDataset.ttl>
FROM …
WHERE {
?subj target:relevantProperty ?obj .
…
}
18. Outline
Motivation
Schema Mapping
Translating RDF Data with SPARQL 1.1
Mapping Patterns
19. Pattern based approach
Presentation of common mapping patterns
Ordered from common to not so common
Learn how to tackle these mapping patterns
with SPARQL 1.1
25. Rename Class based on Property
Existence
Rename class based on the existence of a
property relation.
dbpedia:William_Shakespeare a dbpedia-owl:Person ;
dbpedia-owl:deathDate "1616-04-23"^^xsd:date .
dbpedia:William_Shakespeare
a fb:people.deceased_person .
26. Rename Class based on Property
SPARQL Mapping:
CONSTRUCT {
?s a freebase:people.deceased_person
} WHERE {
?s a dbpedia-owl:Person ;
dbpedia-owl:deathDate ?dd .
}
27. Rename Class based on Value
Instances of the source class become instances of the
target class if they have a specific property value.
gw-p:Kurt_Joachim_Lauk_euParliament_1840_P a gw:Person ;
gw:profession "politician"^^xsd:string .
gw-p:Kurt_Joachim_Lauk_euParliament_1840_P ;
a fb:government.politician .
28. Rename Class based on Value
SPARQL Mapping:
CONSTRUCT {
?s a fb:government.politician
} WHERE {
?s a gw:Person ;
gw:profession "politician"^^xsd:string .
}
29. Reverse Property
The target property represents the reverse
relationship regarding the source property.
dbpedia:Queens_of_the_Stone_Age dbpedia-owl:currentMember
dbpedia:Joey_Castillo .
dbpedia:Joey_Castillo mo:member_of
dbpedia:Queens_of_the_Stone_Age .
31. Resourcesify
Represent an attribute by a newly created
resource that then carries the attribute value.
dbpedia:The_Usual_Suspects
dbpedia-owl:runtime 6360.0 .
dbpedia:The_Usual_Suspects po:version _:new .
_:new po:duration 6360.0 .
33. Deresourcesify
Inverse pattern to the Resourcesify pattern.
dbpedia:John_F._Kennedy_International_Airport
dbpedia-owl:city dbpedia:New_York_City .
dbpedia:New_York_City rdfs:label "New York City" .
dbpedia:John_F._Kennedy_International_Airport
lgdp:owner "New York City" .
37. Transform Value 1:1
Transform the (lexical) value of a property.
dbpedia:The_Shining_(film)
dbpedia-owl:runtime 8520 .
dbpedia:The_Shining_(film)
movie:runtime 142 .
38. Transform Value 1:1
SPARQL Mapping:
CONSTRUCT {
?s movie:runtime ?runtimeInMinutes .
} WHERE {
?s dbpedia-owl:runtime ?runtime .
BIND(?runtime / 60 As ?runtimeInMinutes)
}
BIND( Expression As ?newVariable )
39. Transform Literal to URI
Transform a literal value into a URI.
dbpedia:Von_Willebrand_disease
dbpedia-owl:omim 193400 .
Also 1:1 transformation pattern!
dbpedia:Von_Willebrand_disease
diseasome:omim <http://bio2rdf.org/omim:193400> .
40. Transform Literal to URI
SPARQL Mapping:
CONSTRUCT {
?s diseasome:omim ?omimuri .
} WHERE {
?s dbpedia-owl:omim ?omim .
BIND(IRI(concat(“http://bio2rdf.org/omim:”, str(?omim)))
As ?omimuri)
}
41. Construct Literals
SPARQL 1.1 offers several functions to
construct literals:
STR – returns the lexical form → plain literal
STRDT – construct data type literal
STRLANG – construct literal with language tag
42. Cast to another Datatype
fb:en.clint_eastwood
fb:people.person.date_of_birth
“1930-05-31T00:00:00”^^xsd:dateTime .
fb:en.clint_eastwood
dbpedia-owl:birthDate
“1930-05-31”^^xsd:date .
43. Cast to another Datatype
SPARQL Mapping:
CONSTRUCT {
?s dbpedia-owl:birthDate ?date
} WHERE {
?s fb:people.person.date_of_birth ?dateTime .
BIND(xsd:date(?dateTime) As ?date)
}
44. Transform Value N:1
Transform multiple values from different
properties to a single value.
dbpedia:William_Shakespeare
foaf:givenName "William" ;
foaf:surname "Shakespeare" .
dbpedia:William_Shakespeare
foaf:name "Shakespeare, William" .
45. Transform Value N:1
SPARQL Mapping:
CONSTRUCT {
?s foaf:name ?name
} WHERE {
?s foaf:givenName ?givenName ;
foaf:surname ?surname .
BIND(CONCAT(?surname, “, ”, ?givenName) As ?name)
}
50. Data Cleaning
Integrating data cleaning into a mapping.
fb:en.jimi_hendrix fb:people.person.date_of_birth "1942-11-27" .
fb:en.josh_wink fb:people.person.date_of_birth "1970" .
fb:en.jimi_hendrix dbpedia-owl:birthDate "1942-11-27"^^xsd:date
51. Data Cleaning
SPARQL Mapping:
Construct {
?s dbpedia-owl:birthDate ?birthDate
} Where {
?s fb:people.person.date_of_birth ?bd .
FILTER regex(?bd, “[0-9][0-9][0-9][0-9]-[0-9][0-9]-[0-9][0-9]”)
BIND ((xsd:date(?bd)) As ?birthDate)
}