These are the Open Research Problems of Linked Data slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010
This document discusses opportunities and challenges of Linked Data. It begins with an overview of Linked Data principles like using URIs to identify things and linking related things. It then discusses enabling technologies like HTTP URIs and SPARQL queries. Opportunities mentioned include using the LOD cloud as a test bed and benefiting from linked context in applications. Challenges include large-scale processing of Linked Data and quality of links. The document concludes by emphasizing the potential of Linked Data to make data more valuable.
Towards long-term preservation of linked data - the PRELIDA projectPRELIDA Project
This document summarizes a presentation about preserving linked data over the long term. It introduces the PRELIDA project, which aims to bridge the digital preservation and linked data communities. The presentation discusses what digital preservation can provide for linked data, such as file format standards, archival storage services, and documentation practices. It also outlines challenges for preserving linked data, like its dynamic and distributed nature. The PRELIDA project seeks to address these challenges through research and bringing the communities together.
Stronger together: community initiatives in journal managementJisc
There has been a recent growth of initiatives to address common problems regarding current and long-term access to e-journal content. Jisc is at the forefront of many of these with the close participation and active input of educational institutions.
This session aims to summarise the current state of key themes with pointers to future directions of areas such as sustainability, the move towards e-only environments, and shared consortia approaches. It will provide an overview and panel discussion on developing the supporting infrastructure to meet the needs of users. The discussion will focus on how institutions, community bodies and service providers can best work together to ensure sustainable, long-term initiatives by seeking to introduce uniformity, standardisation and collaboration to an even greater extent.
The session will introduce two new Jisc-supported projects in this area, the Keepers Registry Extra and SafeNet initiatives, and discuss how these fit alongside existing Jisc services such as Knowledge Base+, UK LOCKSS Alliance, Journal Archives and JUSP (Journal Usage Statistics Portal). The panel will address how this catalogue of services contributes towards a coherent strategy in the management of e-journal content.
This document provides an introduction to the Semantic Web and Linked Open Data. It discusses how standards like RDF, XML, and OWL allow machines to better understand the meaning of data on the web. It describes how ontologies provide a vocabulary to define relationships between resources. The document outlines the benefits of publishing data as Linked Open Data using these standards, including making data more interoperable and accessible to both humans and machines. Examples are given of biomedical research projects that use Semantic Web technologies to integrate and link different types of data.
Research in Intelligent Systems and Data Science at the Knowledge Media Insti...Enrico Motta
The document discusses research directions in intelligent systems and data science. It describes work on making sense of scholarly data through techniques like data mining, semantic technologies, and machine learning. It also discusses mapping and classifying computer science research areas using an automatically generated ontology with over 14,000 topics. Other topics discussed include predicting emerging research areas, applications in smart cities like the MK:Smart project, and potential roles for robots in smart cities like an autonomous health and safety inspector.
Presentation given by Stuart Macdonald at the International Workshop on ICT and e-Knowledge for the Developing World in Shanghai International Convention Center, Pudong, Shanghai.
This document discusses challenges with traditional scholarly publishing and opportunities presented by open data and new publishing models.
Traditional publishing incentives prioritize publications over data sharing, which hinders reproducibility and collaboration. This has led to a growing replication gap and increasing retractions. Open data approaches could help by rewarding data release and reuse.
New publishing models are being developed to integrate data, analyses, and publications to better support reproducibility. Initiatives like GigaDB and GigaScience aim to "deconstruct" papers and provide incentives for open peer review, preprints, and implementing analyses in shared platforms like Galaxy. This represents an opportunity to address limitations of traditional publishing.
This document discusses opportunities and challenges of Linked Data. It begins with an overview of Linked Data principles like using URIs to identify things and linking related things. It then discusses enabling technologies like HTTP URIs and SPARQL queries. Opportunities mentioned include using the LOD cloud as a test bed and benefiting from linked context in applications. Challenges include large-scale processing of Linked Data and quality of links. The document concludes by emphasizing the potential of Linked Data to make data more valuable.
Towards long-term preservation of linked data - the PRELIDA projectPRELIDA Project
This document summarizes a presentation about preserving linked data over the long term. It introduces the PRELIDA project, which aims to bridge the digital preservation and linked data communities. The presentation discusses what digital preservation can provide for linked data, such as file format standards, archival storage services, and documentation practices. It also outlines challenges for preserving linked data, like its dynamic and distributed nature. The PRELIDA project seeks to address these challenges through research and bringing the communities together.
Stronger together: community initiatives in journal managementJisc
There has been a recent growth of initiatives to address common problems regarding current and long-term access to e-journal content. Jisc is at the forefront of many of these with the close participation and active input of educational institutions.
This session aims to summarise the current state of key themes with pointers to future directions of areas such as sustainability, the move towards e-only environments, and shared consortia approaches. It will provide an overview and panel discussion on developing the supporting infrastructure to meet the needs of users. The discussion will focus on how institutions, community bodies and service providers can best work together to ensure sustainable, long-term initiatives by seeking to introduce uniformity, standardisation and collaboration to an even greater extent.
The session will introduce two new Jisc-supported projects in this area, the Keepers Registry Extra and SafeNet initiatives, and discuss how these fit alongside existing Jisc services such as Knowledge Base+, UK LOCKSS Alliance, Journal Archives and JUSP (Journal Usage Statistics Portal). The panel will address how this catalogue of services contributes towards a coherent strategy in the management of e-journal content.
This document provides an introduction to the Semantic Web and Linked Open Data. It discusses how standards like RDF, XML, and OWL allow machines to better understand the meaning of data on the web. It describes how ontologies provide a vocabulary to define relationships between resources. The document outlines the benefits of publishing data as Linked Open Data using these standards, including making data more interoperable and accessible to both humans and machines. Examples are given of biomedical research projects that use Semantic Web technologies to integrate and link different types of data.
Research in Intelligent Systems and Data Science at the Knowledge Media Insti...Enrico Motta
The document discusses research directions in intelligent systems and data science. It describes work on making sense of scholarly data through techniques like data mining, semantic technologies, and machine learning. It also discusses mapping and classifying computer science research areas using an automatically generated ontology with over 14,000 topics. Other topics discussed include predicting emerging research areas, applications in smart cities like the MK:Smart project, and potential roles for robots in smart cities like an autonomous health and safety inspector.
Presentation given by Stuart Macdonald at the International Workshop on ICT and e-Knowledge for the Developing World in Shanghai International Convention Center, Pudong, Shanghai.
This document discusses challenges with traditional scholarly publishing and opportunities presented by open data and new publishing models.
Traditional publishing incentives prioritize publications over data sharing, which hinders reproducibility and collaboration. This has led to a growing replication gap and increasing retractions. Open data approaches could help by rewarding data release and reuse.
New publishing models are being developed to integrate data, analyses, and publications to better support reproducibility. Initiatives like GigaDB and GigaScience aim to "deconstruct" papers and provide incentives for open peer review, preprints, and implementing analyses in shared platforms like Galaxy. This represents an opportunity to address limitations of traditional publishing.
Extending Memory on the Web via Human-Centric Knowledge Exchange Network. Presented at W3C Workshop on Social Standards: The Future of Business, 7-8 August 2013, San Francisco, USA
Implementing Open Access: Effective Management of Your Research DataMartin Hamilton
This document discusses research data management and support available from Jisc and the Digital Curation Centre (DCC). It provides background on policy drivers for research data management, outlines support offered by the DCC including capability studies, data management planning tools, and training. It also summarizes results from a 2014 survey of UK higher education institutions which found most progress in policy development and plans, but challenges around staffing, funding, and engagement of researchers. The document concludes with feedback on future priorities such as compelling services, engaging researchers, and shared infrastructure solutions.
This presentation gives a brief overview on achievements and challenges of the Data Web and describes different aspects of using the Semantic Data Wiki OntoWiki for Linked Data management.
Research into Practice case study 2: Library linked data implementations an...Hazel Hall
The document summarizes a presentation given by Dr. Diane Pennington and Laura Cagnazzo on library linked data implementations and perceptions. The presentation discussed the evolution of the semantic web and linked open data principles. It provided an overview of a study on the status and perceptions of linked data among European national libraries and Scottish libraries. The study found lack of awareness and expertise to be challenges for implementation. Benefits included improved data visibility and opportunities for collaboration. Recommendations focused on training, collaboration, and developing implementation guidelines and case studies.
The University of Edinburgh approved a research data management policy in May 2011 to address growing pressures around research data. The Vice-Principal, Jeff Haywood, championed the development of the first research data management policy in the UK. The policy aimed to comply with funder requirements for open access to research data and address reputational risks around responding to Freedom of Information requests. In developing the policy, the university sought broad discussion, identified champions at various levels, and addressed gaps in research data services to support retention and access to data underlying published research.
Internet Archives and Social Science Research - Yeungnam Universitymwe400
The document discusses using large datasets from the Internet Archive to conduct social science research on emerging organizational forms. It presents examples of previous research leveraging archive data on topics like natural disasters, political activity, and social movements. The author proposes analyzing hyperlink, news coverage, Twitter, and website data on the Occupy Wall Street movement to test hypotheses about its emerging networked structure over time. Results are presented showing the growth of the movement's online presence and core clusters within its organizational network.
The document discusses the need for data infrastructure to enable open sharing of data across boundaries. It describes infrastructure as relationships between people, technologies, and institutions. The Research Data Alliance (RDA) aims to build these relationships by developing standards and recommendations to serve as "gateways" that link different data systems. RDA works both globally through international coordination, and locally through regional groups to address issues at multiple levels simultaneously.
Promises and Pitfalls: Linked Data, Privacy, and Library CatalogsEmily Nimsakont
This document discusses the promises and pitfalls of using linked data in library catalogs. It begins by explaining what linked data is and how it makes relationships between data explicit. Linked data initiatives like BIBFRAME aim to apply these concepts to library metadata. However, privacy is a major concern since linked data allows for more aggressive exploration of personal information. The document discusses libraries' role in protecting user privacy and explores solutions like privacy preference ontologies and standards from the W3C. Overall, while linked data holds benefits, ensuring user privacy will be an ongoing challenge for libraries to address.
Within the course, we will present Linked Data as a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the past years, leading to the creation of a global data space that contains many billions of assertions – the Web of Linked Data.
This document discusses the potential for developing a knowledge network by leveraging metadata from scientific endeavors. It begins by outlining some of the limitations of traditional metadata approaches. It then proposes that metadata could be structured as a graph using semantic triples to represent relationships between people, institutions, projects, and other elements. This liberalized metadata approach could help reduce complexity while providing a more comprehensive view of scientific activities and outputs. The document advocates for establishing common standards, developing tools to extract and aggregate metadata, and creating services and repositories to enable discovery, analysis, and visualization of the knowledge network. The goal is to facilitate research by providing integrated access to information on scientific data, publications, actors and their relationships.
Overview of Open Data, Linked Data and Web ScienceHaklae Kim
This document provides an overview of open data, linked data, and web science through conceptual discussions, case studies, and proposed next steps. It begins with definitions of key concepts like open data and the semantic web. Case studies demonstrate current applications of open data through government initiatives and technologies like Google's Knowledge Graph and Apple's Siri. The document concludes by acknowledging challenges with open data strategies and advocating for interdisciplinary collaboration to realize the potential of linked open government data.
The document discusses challenges and opportunities around preserving complex web content and social media. It provides examples of complex web objects like interactive stories and games that are difficult to archive using traditional tools. Social media poses additional problems like terms of service restrictions, personal data protection, and capturing dynamic conversations. However, there are also opportunities to prevent loss of cultural heritage, improve public services, and trial new preservation tools and methods. The event will include case studies on archiving interactive fiction, Twitter data for research, and web collections in museums.
New challenges for digital scholarship and curation in the era of ubiquitous ...Derek Keats
A keynote presentation that I gave at the The 4th African Digital Scholarship and Curation Conference (see: http://www.nedicc.ac.za/test/Programme.aspx) on 16 May 2011.
A presentation by Claire Stewart introducing scholarly communication and the Center for Scholarly Communication & Digital Curation (CSCDC). Presented to the Library Board of Governors, September 2011.
Wire Workshop: Overview slides for ArchiveHub Projectmwe400
The document discusses using large datasets from the Internet Archive to conduct research. It outlines an agenda with three parts: large scale data, developing new tools, and testing and building theory. The Internet Archive contains over 10 petabytes of cultural data, including 410 billion archived web pages. The ArchiveHub project aims to create tools and guidelines for longitudinal research on archived web data. Examples of potential research topics are discussed, such as studying social movements using link and text data from websites about Occupy Wall Street. Challenges discussed include accessing and preparing the large datasets for research purposes and connecting the data to theoretical frameworks.
This document discusses partnering for research data and the various stakeholders involved. It identifies key stakeholder roles like directors, librarians, repository managers, and research support offices. Infrastructure requirements for delivering data management services are outlined, including tools for data plans, tracking impact, and more. There is a skills gap around research data that institutions are working to address through training and new specialist librarian roles in areas like data curation and management. International collaboration could help promote data literacy.
1. The document discusses DERI, a research institute focused on the semantic web and social semantic web.
2. It describes DERI's work developing the SIOC ontology to represent data from social websites on the semantic web in a standardized and interoperable way.
3. The SIOC ontology aims to connect users and data across different social/collaborative websites and allow users to easily move between sites while bringing their data.
Session 1.2 improving access to digital content by semantic enrichmentsemanticsconference
This document discusses improving access to digital collections through semantic enrichment. It describes linking names and entities from text to knowledge bases like Wikidata to make the content more discoverable and usable. The process involves named entity recognition, entity linking using disambiguation algorithms, presenting enriched context, and enabling semantic search. User feedback is gathered to improve the linking algorithms through additional training. The goal is to increase trust in the links for research purposes. Overall, the approach aims to enrich text collections by connecting content to external information sources.
The document discusses net neutrality and the fragmentation of the internet. It notes that while many people just want to use technology without understanding how it works, this attitude is dangerous when it comes to the internet. The document then covers various topics related to net neutrality like internet layers, the end-to-end principle, innovation, the economy, culture, democracy, and different regulatory scenarios. It also discusses the stakeholders involved and campaigns to raise awareness of net neutrality issues.
This document provides an introduction to linked data and the semantic web. It discusses how the current web contains documents that are difficult for computers to understand, but linked data publishes structured data on the web using common standards like RDF and URIs. This allows data to be interlinked and queried using SPARQL. Publishing data as linked data makes the web appear as one huge global database. There are now many incentives for organizations to publish their data as linked data, as it enables data sharing and integration in addition to potential benefits like semantic search engine optimization. Linked data is a growing trend with many large organizations and governments now publishing data.
Consuming Linked Data by Humans - WWW2010Juan Sequeda
This document discusses different ways that humans can consume linked data on the web. It describes HTML browsers that can render RDFa embedded in web pages. It also discusses linked data browsers that allow users to view RDF triples in a tabular format. Faceted browsers provide a way to explore linked data through interactive facets. On-the-fly mashups dynamically combine data from multiple sources. The document encourages the development of new and innovative interfaces for interacting with linked data.
Extending Memory on the Web via Human-Centric Knowledge Exchange Network. Presented at W3C Workshop on Social Standards: The Future of Business, 7-8 August 2013, San Francisco, USA
Implementing Open Access: Effective Management of Your Research DataMartin Hamilton
This document discusses research data management and support available from Jisc and the Digital Curation Centre (DCC). It provides background on policy drivers for research data management, outlines support offered by the DCC including capability studies, data management planning tools, and training. It also summarizes results from a 2014 survey of UK higher education institutions which found most progress in policy development and plans, but challenges around staffing, funding, and engagement of researchers. The document concludes with feedback on future priorities such as compelling services, engaging researchers, and shared infrastructure solutions.
This presentation gives a brief overview on achievements and challenges of the Data Web and describes different aspects of using the Semantic Data Wiki OntoWiki for Linked Data management.
Research into Practice case study 2: Library linked data implementations an...Hazel Hall
The document summarizes a presentation given by Dr. Diane Pennington and Laura Cagnazzo on library linked data implementations and perceptions. The presentation discussed the evolution of the semantic web and linked open data principles. It provided an overview of a study on the status and perceptions of linked data among European national libraries and Scottish libraries. The study found lack of awareness and expertise to be challenges for implementation. Benefits included improved data visibility and opportunities for collaboration. Recommendations focused on training, collaboration, and developing implementation guidelines and case studies.
The University of Edinburgh approved a research data management policy in May 2011 to address growing pressures around research data. The Vice-Principal, Jeff Haywood, championed the development of the first research data management policy in the UK. The policy aimed to comply with funder requirements for open access to research data and address reputational risks around responding to Freedom of Information requests. In developing the policy, the university sought broad discussion, identified champions at various levels, and addressed gaps in research data services to support retention and access to data underlying published research.
Internet Archives and Social Science Research - Yeungnam Universitymwe400
The document discusses using large datasets from the Internet Archive to conduct social science research on emerging organizational forms. It presents examples of previous research leveraging archive data on topics like natural disasters, political activity, and social movements. The author proposes analyzing hyperlink, news coverage, Twitter, and website data on the Occupy Wall Street movement to test hypotheses about its emerging networked structure over time. Results are presented showing the growth of the movement's online presence and core clusters within its organizational network.
The document discusses the need for data infrastructure to enable open sharing of data across boundaries. It describes infrastructure as relationships between people, technologies, and institutions. The Research Data Alliance (RDA) aims to build these relationships by developing standards and recommendations to serve as "gateways" that link different data systems. RDA works both globally through international coordination, and locally through regional groups to address issues at multiple levels simultaneously.
Promises and Pitfalls: Linked Data, Privacy, and Library CatalogsEmily Nimsakont
This document discusses the promises and pitfalls of using linked data in library catalogs. It begins by explaining what linked data is and how it makes relationships between data explicit. Linked data initiatives like BIBFRAME aim to apply these concepts to library metadata. However, privacy is a major concern since linked data allows for more aggressive exploration of personal information. The document discusses libraries' role in protecting user privacy and explores solutions like privacy preference ontologies and standards from the W3C. Overall, while linked data holds benefits, ensuring user privacy will be an ongoing challenge for libraries to address.
Within the course, we will present Linked Data as a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the past years, leading to the creation of a global data space that contains many billions of assertions – the Web of Linked Data.
This document discusses the potential for developing a knowledge network by leveraging metadata from scientific endeavors. It begins by outlining some of the limitations of traditional metadata approaches. It then proposes that metadata could be structured as a graph using semantic triples to represent relationships between people, institutions, projects, and other elements. This liberalized metadata approach could help reduce complexity while providing a more comprehensive view of scientific activities and outputs. The document advocates for establishing common standards, developing tools to extract and aggregate metadata, and creating services and repositories to enable discovery, analysis, and visualization of the knowledge network. The goal is to facilitate research by providing integrated access to information on scientific data, publications, actors and their relationships.
Overview of Open Data, Linked Data and Web ScienceHaklae Kim
This document provides an overview of open data, linked data, and web science through conceptual discussions, case studies, and proposed next steps. It begins with definitions of key concepts like open data and the semantic web. Case studies demonstrate current applications of open data through government initiatives and technologies like Google's Knowledge Graph and Apple's Siri. The document concludes by acknowledging challenges with open data strategies and advocating for interdisciplinary collaboration to realize the potential of linked open government data.
The document discusses challenges and opportunities around preserving complex web content and social media. It provides examples of complex web objects like interactive stories and games that are difficult to archive using traditional tools. Social media poses additional problems like terms of service restrictions, personal data protection, and capturing dynamic conversations. However, there are also opportunities to prevent loss of cultural heritage, improve public services, and trial new preservation tools and methods. The event will include case studies on archiving interactive fiction, Twitter data for research, and web collections in museums.
New challenges for digital scholarship and curation in the era of ubiquitous ...Derek Keats
A keynote presentation that I gave at the The 4th African Digital Scholarship and Curation Conference (see: http://www.nedicc.ac.za/test/Programme.aspx) on 16 May 2011.
A presentation by Claire Stewart introducing scholarly communication and the Center for Scholarly Communication & Digital Curation (CSCDC). Presented to the Library Board of Governors, September 2011.
Wire Workshop: Overview slides for ArchiveHub Projectmwe400
The document discusses using large datasets from the Internet Archive to conduct research. It outlines an agenda with three parts: large scale data, developing new tools, and testing and building theory. The Internet Archive contains over 10 petabytes of cultural data, including 410 billion archived web pages. The ArchiveHub project aims to create tools and guidelines for longitudinal research on archived web data. Examples of potential research topics are discussed, such as studying social movements using link and text data from websites about Occupy Wall Street. Challenges discussed include accessing and preparing the large datasets for research purposes and connecting the data to theoretical frameworks.
This document discusses partnering for research data and the various stakeholders involved. It identifies key stakeholder roles like directors, librarians, repository managers, and research support offices. Infrastructure requirements for delivering data management services are outlined, including tools for data plans, tracking impact, and more. There is a skills gap around research data that institutions are working to address through training and new specialist librarian roles in areas like data curation and management. International collaboration could help promote data literacy.
1. The document discusses DERI, a research institute focused on the semantic web and social semantic web.
2. It describes DERI's work developing the SIOC ontology to represent data from social websites on the semantic web in a standardized and interoperable way.
3. The SIOC ontology aims to connect users and data across different social/collaborative websites and allow users to easily move between sites while bringing their data.
Session 1.2 improving access to digital content by semantic enrichmentsemanticsconference
This document discusses improving access to digital collections through semantic enrichment. It describes linking names and entities from text to knowledge bases like Wikidata to make the content more discoverable and usable. The process involves named entity recognition, entity linking using disambiguation algorithms, presenting enriched context, and enabling semantic search. User feedback is gathered to improve the linking algorithms through additional training. The goal is to increase trust in the links for research purposes. Overall, the approach aims to enrich text collections by connecting content to external information sources.
The document discusses net neutrality and the fragmentation of the internet. It notes that while many people just want to use technology without understanding how it works, this attitude is dangerous when it comes to the internet. The document then covers various topics related to net neutrality like internet layers, the end-to-end principle, innovation, the economy, culture, democracy, and different regulatory scenarios. It also discusses the stakeholders involved and campaigns to raise awareness of net neutrality issues.
This document provides an introduction to linked data and the semantic web. It discusses how the current web contains documents that are difficult for computers to understand, but linked data publishes structured data on the web using common standards like RDF and URIs. This allows data to be interlinked and queried using SPARQL. Publishing data as linked data makes the web appear as one huge global database. There are now many incentives for organizations to publish their data as linked data, as it enables data sharing and integration in addition to potential benefits like semantic search engine optimization. Linked data is a growing trend with many large organizations and governments now publishing data.
Consuming Linked Data by Humans - WWW2010Juan Sequeda
This document discusses different ways that humans can consume linked data on the web. It describes HTML browsers that can render RDFa embedded in web pages. It also discusses linked data browsers that allow users to view RDF triples in a tabular format. Faceted browsers provide a way to explore linked data through interactive facets. On-the-fly mashups dynamically combine data from multiple sources. The document encourages the development of new and innovative interfaces for interacting with linked data.
The document provides an overview of the Semantic Web and linked data. It defines the Semantic Web as publishing structured data on the web in a format that computers can understand, rather than just documents. Linked data follows principles like using URIs to identify things and linking data across sources to integrate information. Query languages like SPARQL can then be used to search across linked data. Examples show how data can be published as RDF and linked to create a global database. Applications that consume and combine linked data from multiple sources are discussed.
These are the Linked Data Applications slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010.
This slide set was not part of our tutorial that was presented at ISWC2009
Welcome to Linked Data 0/5 Semtech2011Juan Sequeda
This document discusses creating, publishing and consuming linked data. It introduces key concepts related to linked data including HTML, CSS, HTTP, XML, JSON, API, URL, URI, RDF, RDFa, RDFS, OWL, RIF and SPARQL. The document includes a schedule but provides no further details.
Consuming Linked Data by Machines - WWW2010Juan Sequeda
These are the Consuming Linked Data by Machines slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010. These slides are originally by Patrick Sinclair from BBC
Drupal 7 and Semantic Web Hands-on TutorialJuan Sequeda
This document outlines the schedule and details for a seminar on using Drupal 7 for the Semantic Web. The day-long event includes sessions on rich snippets, an introduction to the Semantic Web, and hands-on advanced topics using Semantic Web technologies with Drupal. The schedule also lists times for registration, breaks, lunch, and a happy hour reception. Background is provided on one of the speakers, Stéphane Corlosquet, who has significantly contributed RDF and Semantic Web capabilities to Drupal.
Virtualizing Relational Databases as Graphs: a multi-model approachJuan Sequeda
Talk given at Smart Data 2017
Relational Databases are inflexible due to the rigid constraints of the relational data model. If you have new data that doesn’t fit your schema, you will need to alter your schema (add a column or a new table). This is a task that is not always possible. IT departments don't have time, or they won't allow it - just more nulls that can lead to query performance degradation, etc.
A goal of graph databases is to address this problem with their schema-less graph data model. However, many businesses have large investments in commercial RDBMSs and their associated applications and can't expect to move all of their data to a graph database.
In this talk, I will present a multi-model graph/relational architecture solution. Keep your relational data where it is, virtualize it as a graph, and then connect it with additional data stored in a graph database. This way, both graph and relational technologies can seamlessly interact together.
The document discusses the Semantic Web and linked data. It defines the current web as consisting of documents linked by hyperlinks that are readable by humans but difficult for computers to understand. The Semantic Web aims to publish structured data on the web using common standards like RDF so that data can be linked, queried, and integrated across sources. Key points include:
- The Semantic Web uses RDF to represent data as a graph so that data from different sources can be linked together.
- Linked data follows principles like using URIs to identify things and including links to other related data.
- Query languages like SPARQL allow searching and integrating linked data from multiple sources.
- There are now
El documento habla sobre la Web Semántica. Explica que la Web Semántica publica datos estructurados usando RDF para que los datos puedan vincularse y ser integrados entre sí. También describe cómo grandes empresas como Google, Facebook y el gobierno están usando RDF y cómo la Web Semántica permitirá buscar y encontrar información de una manera más efectiva en el futuro.
This document provides information and advice about applying for the National Science Foundation Graduate Research Fellowship. It discusses key details of the fellowship such as eligibility requirements, funding amounts, and required application materials. The fellowship is highly competitive, so applicants are advised to spend 20 hours per week preparing their application, which must demonstrate both intellectual merit of the proposed research and its potential broader impacts. Strong letters of recommendation, personal and research statements, and proposing a feasible research plan are essential. Overall, the document offers guidance on crafting a competitive application by being specific, tying different parts together, and focusing on uniqueness.
Linked Data is a set of best practices for publishing data on the Web using standardized data models (RDF) and access methods (HTTP), enabling easier integration of data from different sources compared to proprietary APIs. The Linked Data architecture is open and allows discovery of new data sources at runtime, allowing applications to take advantage of new available data. When publishing Linked Data, considerations include linking to other datasets, and providing provenance, licensing, and access metadata using common vocabularies. Linked Data principles can also be applied within intranets for data integration.
Presentation at Data/Graph Day Texas Conference.
Austin, Texas
January 14, 2017
This talk grew out Juan Sequeda's office hours following the Seattle Graph Meetup. Some of the questions posed were: How do I recognize problem best solved with a graph solution? How do I determine the best type of graph to solve the problem? How do I manage the data where both graph and relational operations will be performed? Juan did such a great job of explaining the options, we asked him to develop his responses into a formal talk.
Graph Query Languages: update from LDBCJuan Sequeda
The Linked Data Benchmark Council (LDBC) is a non-profit organization dedicated to establishing benchmarks, benchmark practices and benchmark results for graph data management software. The Graph Query Language task force of LDBC is studying query languages for graph data management systems, and specifically those systems storing so-called Property Graph data. The goals of the GraphQL task force are to:
Devise a list of desired features and functionalities of a graph query language.
Evaluate a number of existing languages (i.e. Cypher, Gremlin, PGQL, SPARQL, SQL), and identify possible issues.
Provide a better understanding of the design space and state-of-the-art.
Develop proposals for changes to existing query languages or even a new graph query language.
This query language should cover the needs of the most important use-cases for such systems, such as social network and Business Intelligence workloads.
This talk will present an update of the work accomplished by the LDBC GraphQL task force. We also look for input from the graph community.
Publishing Linked Data 3/5 Semtech2011Juan Sequeda
This document summarizes techniques for publishing linked data on the web. It discusses publishing static RDF files, embedding RDF in HTML using RDFa, linking to other URIs, generating linked data from relational databases using RDB2RDF tools, publishing linked data from triplestores and APIs, hosting linked data in the cloud, and testing linked data quality.
WTF is the Semantic Web and Linked DataJuan Sequeda
This document provides an overview of the Semantic Web and Linked Data. It begins by explaining some of the limitations of the current web, which treats all content as unstructured documents rather than structured data. It then introduces the Semantic Web and its data model, RDF, which allows publishing structured data on the web in a standardized way using graph-based representations. This enables linking different data sources on the web, addressing the problem of data silos. The document provides examples of representing bibliographic data about books in RDF and linking it to other datasets, demonstrating how the Semantic Web enables integrating and finding related information on the web.
My Linked Data tutorial presentation that I presented at Semtech 2012.
http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&proposalid=4724
This document discusses various approaches for building applications that consume linked data from multiple datasets on the web. It describes characteristics of linked data applications and generic applications like linked data browsers and search engines. It also covers domain-specific applications, faceted browsers, SPARQL endpoints, and techniques for accessing and querying linked data including follow-up queries, querying local caches, crawling data, federated query processing, and on-the-fly dereferencing of URIs. The advantages and disadvantages of each technique are discussed.
A call to librarians to use their library powers in the community beyond the walls of their institutions as the open data folks need their knowledge!
Title:
Open Sesame: Open Data, Data Liberation and New Opportunities for Libraries
Abstract:
Cities and data producers are quickly embracing Open Data, albeit unevenly. The Data Liberation Initiative (DLI) has been a pioneer in broadening access to data for nearly two decades. This session will examine the relevance of Data Liberation in terms of Open Data and explore how librarians can step up to the plate to make Open Data/Open Government as successful as DLI.
Speakers:
- Wendy Watkins, Data Librarian, Carleton University
- Ernie Boyko, Adjunct Data Librarian, Carleton University
- Tracey P. Lauriault, Post Doctoral Fellow, Carleton University (tlauriau@gmail.com)
- Margaret Haines, University Librarian, Carleton University
Workshop session given at the Institutional Web Management Workshop 2012 (IWMW 2012) event held at the University of Edinburgh on 18th - 20th June 2012.
This document summarizes a presentation on linked open government data. It discusses how government data is being opened through initiatives like Data.gov and how linked data approaches can help address challenges in making open government data more interoperable, scalable, and able to maintain provenance. Key points discussed include the growth of open government data, challenges in working with raw open data, benefits of converting data to linked open formats, and open questions around improving interoperability, addressing scalability issues, and maintaining provenance as open government data continues to expand.
The document discusses the transition from the traditional web (Web 1.0) to the semantic web (Web 3.0) through Web 2.0. It outlines the key principles of linking data on the web in a way that is machine-readable and outlines progress made in publishing linked open government data through the UK's data.gov.uk portal, which has released over 1500 datasets from government departments. The document argues that linked open data can drive transparency, economic and social value, and improvements to public services.
In recent years governments and research institutions have emphasized the need for open data as a fundamental component of open science. But we need much more than the data themselves for them to be reusable and useful. We need descriptive and machine-readable metadata, of course, but we also need the software and the algorithms necessary to fully understand the data. We need the standards and protocols that allow us to easily read and analyze the data with the tools of our choice. We need to be able to trust the source and derivation of the data. In short, we need an interoperable data infrastructure, but it must be a flexible infrastructure able to work across myriad cultures, scales, and technologies. This talk will present a concept of infrastructure as a body of human, organisational, and machine relationships built around data. It will illustrate how a new organization, the Research Data Alliance, is working to build those relationships to enable functional data sharing and reuse.
1) The document discusses how open data and interoperability can drive innovation by empowering people and communities through access to government data.
2) Key points include how open data can meet regulatory needs, communicate with citizens, and spur new economic development and innovation.
3) An open data ecosystem is created by gathering and connecting data, infrastructure, developers, and communities to empower choices and change behavior.
The document summarizes a presentation by Mark A. Parsons on opportunities and challenges for data sharing and citation. The presentation discusses how all of society's grand challenges require diverse data shared across boundaries, and the vision of the Research Data Alliance (RDA) to openly share data. RDA builds social and technical bridges to enable open data sharing through developing infrastructure, standards, and best practices. The presentation also covers specific RDA activities like developing data citation recommendations and engaging members globally.
Keynote: Mark Parsons - Plans are Useless, But Planning is EssentialCASRAI
The document discusses the need for infrastructure to share data across cultures through bridges and gateways. It describes the Research Data Alliance's (RDA) role in building these connections by developing standards and recommendations to enable open data sharing. RDA works globally through interest and working groups, but also locally through regional groups. The goal is to address society's challenges by fostering relationships and finding solutions to issues around diversity and change.
IWMW 2000: report on the Joined-up Web session IWMW
This document discusses the need for a more joined-up web to improve communication and access to information across different systems and databases. Some of the key issues mentioned are the need for cultural change, cross-searching across dispersed resources, and integrating students' academic and personal online experiences. Technical challenges include different software versions and plug-ins, while users prefer a seamless interface over multiple sign-ons and visibility of the internal workings. The document recommends circulating information on relevant projects, creating web pages linking to examples, and continuing development of initiatives like Sparta to further a more joined-up web.
Social Innovation across the digital platform with semantic web, conference presentation in Glasgow, Scotland
Leveraging knowledge through OpenSource technology on websites via a CMS
This document discusses publishing EPA data as linked open data. It notes that the goal is to make open data, content, and web APIs the new default. Linked data allows data to be connected and treated like web pages. The EPA has published facility and substance data as linked open data and is piloting additional datasets. Publishing linked open data requires identifying relevant datasets, modeling the data, publishing it according to best practices, maintaining scripts to keep data current, and reviewing usage to support users. Recommendations include publishing in reusable formats like RDF, using open rather than proprietary formats, and defining URI strategies without reinventing existing best practices or vocabularies.
Linked Data Overview - structured data on the web for US EPA 201402033 Round Stones
The document provides an overview of linked open data and the EPA's efforts to publish its environmental data as linked open data. It discusses the need for improved data platforms to share integrated environmental data. Linked open data uses international standards to publish and connect data on the web, providing context and allowing for improved access and reuse of data. The EPA publishes a large amount of data in CSV files and is now moving to a cloud-based linked open data system to publish facility, chemical, and pollution reports, making the data more reusable and helping more types of audiences use the data.
Final version of the general presentation that the RDA Secretary General presented about a dozen times at various conferences and workshops around Europe in the last two months.
The document provides an overview of the Dublinked Technology Workshop held on December 15th, 2011. It includes presentations on transportation data, spatial web services, linked data, and semantic data description. Breakout sessions covered topics like data publishing, discovery, web services, and advanced functions. The workshop aimed to address challenges around sharing digital data between organizations and discussed technical requirements and tools to support open government data platforms.
VIVO is an open-source semantic web application and information model that enables discovery of research across disciplines at institutions. It harvests data from verified sources to create detailed profiles of faculty and researchers. The structured linked data in VIVO allows for relationships and connections between researchers, publications, grants, and more to be visualized. Libraries can play important roles in implementing and supporting VIVO through activities like outreach, training, ontology development, and technical support.
Sentara Linked Data Workshop - Sept 10, 20123 Round Stones
One day workshop to Sentara Healthcare on using a Linked Data approach for enterprise architecture. Topics include: Open Government Data initiatives, demo of Weather Health Web application; leveraging open data from NIH, NLM, NOAA, EPA, HHS; Callimachus Enterprise, a Linked Data Management System for the enterprise.
Linked Data for the Masses: The approach and the SoftwareIMC Technologies
Title: Linked Data for the Masses: The approach and the Software
@ EELLAK (GFOSS) Conference 2010
Athens, Greece
15/05/2010
Creator: George Anadiotis (R&D Director)
The document discusses the evolution of the semantic web and big data. It provides examples of how semantic web technologies can be applied to large datasets from domains such as climate research. It also discusses linked open data and the growth of the linked open data cloud over time. Public open data initiatives are described along with the benefits of a data economy where non-tangible assets like data play a significant role.
Similar to Open Research Problems in Linked Data - WWW2010 (20)
Integrating Semantic Web with the Real World - A Journey between Two Cities ...Juan Sequeda
(The original version of this talk was a Keynote at KCAP2017. This is the final version of the slides after giving this talk 14 times in 2018)
An early vision in Computer Science has been to create intelligent systems capable of reasoning on large amounts of data. Today, this vision can be delivered by integrating Relational Databases with the Semantic Web using the W3C standards: a graph data model (RDF), ontology language (OWL), mapping language (R2RML) and query language (SPARQL). The research community has successfully been showing how intelligent systems can be created with Semantic Web technologies, dubbed now as Knowledge Graphs.
However, where is the mainstream industry adoption? What are the barriers to adoption? Are these engineering and social barriers or are they open scientific problems that need to be addressed?
This talk will chronicle our journey of deploying Semantic Web technologies with real world users to address Business Intelligence and Data Integration needs, describe technical and social obstacles that are present in large organizations, and scientific and engineering challenges that require attention.
Integrating Semantic Web in the Real World: A Journey between Two Cities Juan Sequeda
Keynote at The 9th International Conference on Knowledge Capture (KCAP2017), Austin, Texas, Dec 2017
An early vision in Computer Science has been to create intelligent systems capable of reasoning on large amounts of data. Today, this vision can be delivered by integrating Relational Databases with the Semantic Web using the W3C standards: a graph data model (RDF), ontology language (OWL), mapping language (R2RML) and query language (SPARQL). The research community has successfully been showing how intelligent systems can be created with Semantic Web technologies, dubbed now as Knowledge Graphs.
However, where is the mainstream industry adoption? What are the barriers to adoption? Are these engineering and social barriers or are they open scientific problems that need to be addressed?
This talk will chronicle our journey of deploying Semantic Web technologies with real world users to address Business Intelligence and Data Integration needs, describe technical and social obstacles that are present in large organizations, and scientific challenges that require attention.
Integrating Relational Databases with the Semantic Web: A ReflectionJuan Sequeda
This is a lecture given at the 2017 Reasoning Web Summer School
It has been clear from the beginning that the success of the Semantic Web hinges on integrating the vast amount of data stored in Relational Databases. In 2007, the W3C organized a workshop on RDF Access to Relational Databases. In 2012, two standards were ratified that map relational data to RDF: Direct Mapping and R2RML.
In this lecture, I will reflect on the last 10 years of research results and systems to integrate Relational Databases with the Semantic web. I will provide an answer to the following question: how and to what extent can Relational Databases be integrated with the Semantic Web? I will review how these standards and systems are being used in practice for data integration and discuss open challenges.
This document discusses Linked Data and the best practices for publishing and interlinking data on the web. It covers four main principles:
1) Use URIs as names for things and identify real-world objects with HTTP URIs.
2) Use HTTP URIs so that people can look up those names by dereferencing the URIs.
3) Provide useful RDF information when URIs are dereferenced, using formats like RDF/XML, RDFa, N3, or Turtle.
4) Include links to other URIs to discover more related things and connect isolated data silos. This allows data to be interlinked on the Web.
This document discusses different ways that humans can consume linked data, including through HTML browsers, linked data browsers, faceted browsers, and on-the-fly mashups. It notes that Google and Yahoo are starting to crawl RDFa to surface semantic information, and that linked data browsers allow viewing linked data returned from URIs in tabular form. It calls for creating new innovative ways to interact with linked data and partnering with the HCI community to develop novel user interfaces.
This document introduces linked data and discusses how publishing data as linked RDF triples on the web allows for a global linked database. It explains that linked data uses HTTP URIs to identify things and links data from different sources to be queried using SPARQL. Publishing linked data provides benefits like being able to integrate and discover related data on the web. Tools are available to convert existing data or publish new data as linked open data.
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!
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
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.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
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.
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.
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.
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
Communications Mining Series - Zero to Hero - Session 1
Open Research Problems in Linked Data - WWW2010
1. Linked
Data:
Open
Research
Problems
Consuming
Linked
Data
Tutorial
World
Wide
Web
Conference
2010
2. Exactly
1
year
ago
at
WWW2009
• BOF
on
a
Research
Agenda
for
Linked
Data
• hHp://esw.w3.org/SweoIG/TaskForces/
CommunityProjects/LinkingOpenData/
MadridBOF
3. 2009’s
Top
10
Linked
Data
Research
Issues
• Privacy
• Inter-‐culturalizaVon
• CreaVng
Linked
Data
– CreaVng
and
maintaining
links
– Co-‐reference
– Design
Methodology
– NLP
for
link
extracVon
4. 2009’s
Top
10
Linked
Data
Research
Issues
• UpdaVng
Linked
Data
– SynchronizaVon
Datasets
and
Links
– SPARUL
Federated
TransacVons
– History,
logs,
change
sets,
temporal
tracking
• EvaluaVon,
metrics
and
benchmarks
• Trust
and
Provenance
• Publish
Linked
Data
– Licensing
– Legal
and
social
implicaVons
5. 2009’s
Top
10
Linked
Data
Research
Issues
• UI
– User
Interface/InteracVon
and
Usability
– Visualizing
Linked
Data
– Natural
Language
Interfaces
• Internet
of
Things
(sensors)
• Social
and
Economic
Impact
• Web
Scale
Data
Management
– Indexing
– crawling
7. Hot
Topics
• Interlinking
Algorithms
• Provenance
and
Trust
• Dataset
Dynamics
• UI
• Distributed
Query
• EvaluaVon
– “You
want
a
good
thesis?
IR
is
based
on
precision
and
recall.
The
minute
you
add
semanVcs,
it
is
a
meaningless
feature.
Logic
is
based
on
soundness
and
completeness.
We
don’t
want
soundness
and
completeness.
We
want
a
few
good
answers
quickly.”
–
Jim
Hendler
at
WWW2009
during
the
LOD
gathering
Thanks
Michael
Hausenblas
8. Linked
Data
TriplificaVon
Challenge
• Open
Track
– Novel
data
sets
that
are
published
as
part
of
the
Web
of
Data
demonstraVng
potenVal
benefit
of
use
within
applicaVons
– Novel
generic
mechanisms,
approaches
and
technologies
to
publish
Linked
Data
– ApplicaVons
showcasing
the
benefits
of
Linked
data
to
end-‐users
9. Linked
Data
TriplificaVon
Challenge
• Open
Government
Track
– Build
web
applicaVon
that
makes
use
of
open
government
datasets
(i.e.
environmental,
cadastral,
geographic,
traffic,
historical,
public
speeches,
elecVon,
corporate
spending,
etc)
– At
least
one
source
must
be
part
of
Linked
Open
Data.
Submission
due
MAY
18
hHp://www.triplify.org/Challenge/2010
10. It’s
lunch
Vme!
• You
learned
what
Linked
Data
is
• You
realized
that
there
is
a
lot
of
data
out
on
the
web
• You
got
excited
about
Linked
Data
• You
learned
about
the
different
ways
of
consuming
linked
data
• You
realized
that
there
is
sVll
work
to
be
done
• You
want
to
create
a
Linked
Data
applicaVon
(and
parVcipate
in
the
TriplificaVon
Challenge)