Expressing No-Value Information in RDFFariz Darari
Minute Madness Slide for ISWC 2015
Narration:
We all know Obama (yet another Semantic Web example with Obama :-) We know Obama has no sons. However, RDF does not know. So then, when asking for schools of Obama's sons, we know there must be no answer. SPARQL gives no answer,
but does it know if it's due to incompleteness or non-existence of information?
This poster will be presented at the Research Day at UniBZ
Credits for icons:
https://www.iconfinder.com/icons/254240/document_note_paper_text_icon#size=512
https://www.iconfinder.com/icons/271507/connect_connection_data_global_link_network_social_icon#size=512
https://www.iconfinder.com/icons/85304/complete_file_icon#size=256
https://www.iconfinder.com/icons/299110/check_sign_icon#size=512
https://www.iconfinder.com/icons/702991/bulb_business_creative_idea_lamp_light_lightning_icon#size=512
https://www.iconfinder.com/icons/309059/electricity_energy_idea_light_bulb_icon#size=512
http://iconbug.com/detail/icon/92/metal-hurdle/
https://www.iconfinder.com/icons/702991/bulb_business_creative_idea_lamp_light_lightning_icon#size=128
https://www.iconfinder.com/icons/463010/about_help_info_information_message_bubble_question_support_icon#size=512
Expressing No-Value Information in RDFFariz Darari
To be presented at The 14th International Semantic Web Conference (ISWC 2015) in Pennsylvania, the USA
Credits for icons:
- https://www.iconfinder.com/icons/322493/sad_icon#size=512
- https://www.iconfinder.com/icons/339913/help_info_information_notice_icon#size=512
- https://pixabay.com/en/barack-obama-president-united-17380/
- https://www.iconfinder.com/icons/80819/child_male_icon#size=256
The Semantic Web is about to grow up. By efforts such as the Linked Open Data initiative, we finally find ourselves at the edge of a Web of Data becoming reality. Standards such as OWL 2, RIF and SPARQL 1.1 shall allow us to reason with and ask complex structured queries on this data, but still they do not play together smoothly and robustly enough to cope with huge amounts of noisy Web data. In this talk, we discuss open challenges relating to querying and reasoning with Web data and raise the question: can the emerging Web of Data ever catch up with the now ubiquitous HTML Web?
"What is left to do?", Dublin Core 2012 KeynoteDan Brickley
http://dcevents.dublincore.org/index.php/IntConf/index/pages/view/speakers-2012
Abstract: "The original 1995 Dublin Core vision of simple, publisher-provided metadata records for Web pages has finally entered the mainstream. From its earliest days, the Dublin Core community was positioned somewhere between the world of search, and the world of the library. The RDF-based approaches long championed by DCMI have recently enjoyed high profile adoption amongst both search engines and libraries. Where does this leave the Dublin Core as a community? Do we settle down into a quiet life of long-term metadata vocabulary maintenance, or are there larger challenges that emerge from this landscape of newly linked, networked information? Dan Brickley will revisit the history of the Dublin Core, outline the state of the art for bibliographic and Web metadata, and outline possible new roles, information-linking problems and practical opportunities for the Dublin Core as a project and as a growing community."
Expressing No-Value Information in RDFFariz Darari
Minute Madness Slide for ISWC 2015
Narration:
We all know Obama (yet another Semantic Web example with Obama :-) We know Obama has no sons. However, RDF does not know. So then, when asking for schools of Obama's sons, we know there must be no answer. SPARQL gives no answer,
but does it know if it's due to incompleteness or non-existence of information?
This poster will be presented at the Research Day at UniBZ
Credits for icons:
https://www.iconfinder.com/icons/254240/document_note_paper_text_icon#size=512
https://www.iconfinder.com/icons/271507/connect_connection_data_global_link_network_social_icon#size=512
https://www.iconfinder.com/icons/85304/complete_file_icon#size=256
https://www.iconfinder.com/icons/299110/check_sign_icon#size=512
https://www.iconfinder.com/icons/702991/bulb_business_creative_idea_lamp_light_lightning_icon#size=512
https://www.iconfinder.com/icons/309059/electricity_energy_idea_light_bulb_icon#size=512
http://iconbug.com/detail/icon/92/metal-hurdle/
https://www.iconfinder.com/icons/702991/bulb_business_creative_idea_lamp_light_lightning_icon#size=128
https://www.iconfinder.com/icons/463010/about_help_info_information_message_bubble_question_support_icon#size=512
Expressing No-Value Information in RDFFariz Darari
To be presented at The 14th International Semantic Web Conference (ISWC 2015) in Pennsylvania, the USA
Credits for icons:
- https://www.iconfinder.com/icons/322493/sad_icon#size=512
- https://www.iconfinder.com/icons/339913/help_info_information_notice_icon#size=512
- https://pixabay.com/en/barack-obama-president-united-17380/
- https://www.iconfinder.com/icons/80819/child_male_icon#size=256
The Semantic Web is about to grow up. By efforts such as the Linked Open Data initiative, we finally find ourselves at the edge of a Web of Data becoming reality. Standards such as OWL 2, RIF and SPARQL 1.1 shall allow us to reason with and ask complex structured queries on this data, but still they do not play together smoothly and robustly enough to cope with huge amounts of noisy Web data. In this talk, we discuss open challenges relating to querying and reasoning with Web data and raise the question: can the emerging Web of Data ever catch up with the now ubiquitous HTML Web?
"What is left to do?", Dublin Core 2012 KeynoteDan Brickley
http://dcevents.dublincore.org/index.php/IntConf/index/pages/view/speakers-2012
Abstract: "The original 1995 Dublin Core vision of simple, publisher-provided metadata records for Web pages has finally entered the mainstream. From its earliest days, the Dublin Core community was positioned somewhere between the world of search, and the world of the library. The RDF-based approaches long championed by DCMI have recently enjoyed high profile adoption amongst both search engines and libraries. Where does this leave the Dublin Core as a community? Do we settle down into a quiet life of long-term metadata vocabulary maintenance, or are there larger challenges that emerge from this landscape of newly linked, networked information? Dan Brickley will revisit the history of the Dublin Core, outline the state of the art for bibliographic and Web metadata, and outline possible new roles, information-linking problems and practical opportunities for the Dublin Core as a project and as a growing community."
Managing and Consuming Completeness Information for Wikidata Using COOL-WDFariz Darari
Completeness metadata about RDF data sources has been proposed to provide a partial closed-world assumption over generally incomplete RDF. Wikidata, as one of the major RDF data sources, contains complete information of a range of topics from the cantons of Switzerland to the crew of Apollo 11. We develop COOL-WD as a tool to manage and consume completeness information on Wikidata.
Get more information at http://ceur-ws.org/Vol-1666/paper-02.pdf
Citation:
Radityo Eko Prasojo, Fariz Darari, Simon Razniewski, Werner Nutt:
Managing and Consuming Completeness Information for Wikidata Using COOL-WD. COLD@ISWC 2016
ESWC 2013 Poster: Representing and Querying Negative Knowledge in RDFFariz Darari
Typically, only positive data can be represented in RDF. However, negative knowledge representation is required in some application domains such as food allergies, software incompatibility, and school absence. We present an approach to represent and query RDF data with negative data. We provide the syntax, semantics, and an example. We argue that this approach fits into the open-world semantics of RDF according to the notion of certain answers.
Get more information at http://dx.doi.org/10.1007/978-3-642-41242-4_40
Poster - Completeness Statements about RDF Data Sources and Their Use for Qu...Fariz Darari
Thousands of RDF data sources are today available on the Web.
Machine-readable qualitative descriptions of their content are crucial.
We focus on data completeness, an important aspect of data quality.
How to formalize and express in a machine-readable way completeness information about RDF data sources?
How to leveragesuch completeness information?
Formal framework for expressing completeness information.
Study of query completeness from completeness information in various settings.
When we created this quiz of Java programming course, we did that with Fasilkom UI students in mind.
Fast forward, we now thought that the quiz could be of greater use if it's shared to anyone, not just Fasilkom UI students.
Yes, our students of our course are everyone, including you!
So please find attached, fresh from the oven, Java programming quiz part 01 (with key answers). More parts are coming whenever they are ready.
#java #programming #universitasindonesia #opencourse #openaccess #openeducation #opentridharma
Featuring pointers for: Single-layer neural networks and multi-layer neural networks, gradient descent, backpropagation. Slides are for introduction, for deep explanation on deep learning, please consult other slides.
Current situation: focus is limited to only implement Tridharma, that is, education, research, and community service, with little concern on openness aspect.
The openness of Tridharma can potentially be a breakthrough in mitigating the quality gap issue: opening Tridharma outputs for public would help to increase the citizen inclusion in accessing the quality content of Tridharma, hence narrowing the quality gap in higher education.
Managing and Consuming Completeness Information for Wikidata Using COOL-WDFariz Darari
Completeness metadata about RDF data sources has been proposed to provide a partial closed-world assumption over generally incomplete RDF. Wikidata, as one of the major RDF data sources, contains complete information of a range of topics from the cantons of Switzerland to the crew of Apollo 11. We develop COOL-WD as a tool to manage and consume completeness information on Wikidata.
Get more information at http://ceur-ws.org/Vol-1666/paper-02.pdf
Citation:
Radityo Eko Prasojo, Fariz Darari, Simon Razniewski, Werner Nutt:
Managing and Consuming Completeness Information for Wikidata Using COOL-WD. COLD@ISWC 2016
ESWC 2013 Poster: Representing and Querying Negative Knowledge in RDFFariz Darari
Typically, only positive data can be represented in RDF. However, negative knowledge representation is required in some application domains such as food allergies, software incompatibility, and school absence. We present an approach to represent and query RDF data with negative data. We provide the syntax, semantics, and an example. We argue that this approach fits into the open-world semantics of RDF according to the notion of certain answers.
Get more information at http://dx.doi.org/10.1007/978-3-642-41242-4_40
Poster - Completeness Statements about RDF Data Sources and Their Use for Qu...Fariz Darari
Thousands of RDF data sources are today available on the Web.
Machine-readable qualitative descriptions of their content are crucial.
We focus on data completeness, an important aspect of data quality.
How to formalize and express in a machine-readable way completeness information about RDF data sources?
How to leveragesuch completeness information?
Formal framework for expressing completeness information.
Study of query completeness from completeness information in various settings.
When we created this quiz of Java programming course, we did that with Fasilkom UI students in mind.
Fast forward, we now thought that the quiz could be of greater use if it's shared to anyone, not just Fasilkom UI students.
Yes, our students of our course are everyone, including you!
So please find attached, fresh from the oven, Java programming quiz part 01 (with key answers). More parts are coming whenever they are ready.
#java #programming #universitasindonesia #opencourse #openaccess #openeducation #opentridharma
Featuring pointers for: Single-layer neural networks and multi-layer neural networks, gradient descent, backpropagation. Slides are for introduction, for deep explanation on deep learning, please consult other slides.
Current situation: focus is limited to only implement Tridharma, that is, education, research, and community service, with little concern on openness aspect.
The openness of Tridharma can potentially be a breakthrough in mitigating the quality gap issue: opening Tridharma outputs for public would help to increase the citizen inclusion in accessing the quality content of Tridharma, hence narrowing the quality gap in higher education.
[ISWC 2013] Completeness statements about RDF data sources and their use for ...Fariz Darari
This was presented at ISWC 2013 in Sydney, Australia.
Abstract:
With thousands of RDF data sources available on the Web covering disparate and possibly overlapping knowledge domains, the problem of providing high-level descriptions (in the form of metadata) of their content becomes crucial. In this paper we introduce a theoretical framework for describing data sources in terms of their completeness. We show how existing data sources can be described with completeness statements expressed in RDF. We then focus on the problem of the completeness of query answering over plain and RDFS data sources augmented with completeness statements. Finally, we present an extension of the completeness framework for federated data sources.
Dissertation Defense - Managing and Consuming Completeness Information for RD...Fariz Darari
The ever increasing amount of Semantic Web data gives rise to the question: How complete is the data? Though generally data on the Semantic Web is incomplete, many parts of data are indeed complete, such as the children of Barack Obama and the crew of Apollo 11. This thesis aims to study how to manage and consume completeness information about Semantic Web data. In particular, we first discuss how completeness information can guarantee the completeness of query answering. Next, we propose optimization techniques of completeness reasoning and conduct experimental evaluations to show the feasibility of our approaches. We also provide a technique to check the soundness of queries with negation via reduction to query completeness checking. We further enrich completeness information with timestamps, enabling query answers to be checked up to when they are complete. We then introduce two demonstrators, i.e., CORNER and COOL-WD, to show how our completeness framework can be realized. Finally, we investigate an automated method to generate completeness statements from text on the Web via relation cardinality extraction.
KOI - Knowledge Of Incidents - SemEval 2018Fariz Darari
We present KOI (Knowledge Of Incidents), a system that given news articles as input, builds a knowledge graph (KOI-KG) of incidental events.
KOI-KG can then be used to efficiently answer questions such as "How many killing incidents happened in 2017 that involve Sean?" The required steps in building the KG include:
(i) document preprocessing involving word sense disambiguation, named-entity recognition, temporal expression recognition and normalization, and semantic role labeling;
(ii) incidental event extraction and coreference resolution via document clustering; and (iii) KG construction and population.
Slides made and presented by Paramita.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
# Internet Security: Safeguarding Your Digital World
In the contemporary digital age, the internet is a cornerstone of our daily lives. It connects us to vast amounts of information, provides platforms for communication, enables commerce, and offers endless entertainment. However, with these conveniences come significant security challenges. Internet security is essential to protect our digital identities, sensitive data, and overall online experience. This comprehensive guide explores the multifaceted world of internet security, providing insights into its importance, common threats, and effective strategies to safeguard your digital world.
## Understanding Internet Security
Internet security encompasses the measures and protocols used to protect information, devices, and networks from unauthorized access, attacks, and damage. It involves a wide range of practices designed to safeguard data confidentiality, integrity, and availability. Effective internet security is crucial for individuals, businesses, and governments alike, as cyber threats continue to evolve in complexity and scale.
### Key Components of Internet Security
1. **Confidentiality**: Ensuring that information is accessible only to those authorized to access it.
2. **Integrity**: Protecting information from being altered or tampered with by unauthorized parties.
3. **Availability**: Ensuring that authorized users have reliable access to information and resources when needed.
## Common Internet Security Threats
Cyber threats are numerous and constantly evolving. Understanding these threats is the first step in protecting against them. Some of the most common internet security threats include:
### Malware
Malware, or malicious software, is designed to harm, exploit, or otherwise compromise a device, network, or service. Common types of malware include:
- **Viruses**: Programs that attach themselves to legitimate software and replicate, spreading to other programs and files.
- **Worms**: Standalone malware that replicates itself to spread to other computers.
- **Trojan Horses**: Malicious software disguised as legitimate software.
- **Ransomware**: Malware that encrypts a user's files and demands a ransom for the decryption key.
- **Spyware**: Software that secretly monitors and collects user information.
### Phishing
Phishing is a social engineering attack that aims to steal sensitive information such as usernames, passwords, and credit card details. Attackers often masquerade as trusted entities in email or other communication channels, tricking victims into providing their information.
### Man-in-the-Middle (MitM) Attacks
MitM attacks occur when an attacker intercepts and potentially alters communication between two parties without their knowledge. This can lead to the unauthorized acquisition of sensitive information.
### Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.