Presentation from I-SEMANTICS 2010, Graz, Austria. Based on the paper "Using Hyperlinks to Enrich Message Board Content with Linked Data" by Sheila Kinsella, Alexandre Passant, and John G. Breslin.
Developing Linked Data and Semantic Web-based Applications (Expotec 2015)Ig Bittencourt
The document discusses developing Linked Data and Semantic Web applications. It begins with key concepts related to Linked Data, the Semantic Web, and applications. It then describes two key steps in developing such applications: publishing data as Linked Data and consuming Linked Data to build applications. Examples are provided of extracting, enriching, and linking different datasets to build a real estate recommendation application that performs semantic searches over the integrated data. Ontologies are created and reused to represent the domains and support interoperability. The document emphasizes integrating the data and software engineering perspectives in developing Semantic Web applications.
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.
This tutorial explains the Data Web vision, some preliminary standards and technologies as well as some tools and technological building blocks developed by AKSW research group from Universität Leipzig.
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.
This query will not return any results. The pattern specified in the WHERE clause contains two triples, but the second triple contains a syntax error - it is missing the property between ?x and ?ema. A valid property like email would need to be specified, such as:
SELECT ?name WHERE {
?x name ?name .
?x email ?email
}
This query will select and return the ?name of any resources ?x that have both a name and email property specified.
This document discusses the Semantic Web and Linked Data. It provides an overview of key Semantic Web technologies like RDF, URIs, and SPARQL. It also describes several popular Linked Data datasets including DBpedia, Freebase, Geonames, and government open data. Finally, it discusses the Yahoo BOSS search API and WebScope data for building search applications.
This document provides an introduction to the RDF data model. It describes RDF as a data model that represents data as subject-predicate-object triples that can be used to describe resources. These triples form a directed graph. The document provides examples of RDF triples and graphs, and compares the RDF data model to relational and XML data models. It also describes common RDF formats like RDF/XML, Turtle, N-Triples, and how RDF graphs from different sources can be merged.
An introduction to Semantic Web and Linked DataFabien Gandon
Here are the steps to answer this SPARQL query against the given RDF base:
1. The query asks for all ?name values where there is a triple with predicate "name" and another triple with the same subject and predicate "email".
2. In the base, _:b is the only resource that has both a "name" and "email" triple.
3. _:b has the name "Thomas".
Therefore, the only result of the query is ?name = "Thomas".
So the result of the SPARQL query is:
?name
"Thomas"
Developing Linked Data and Semantic Web-based Applications (Expotec 2015)Ig Bittencourt
The document discusses developing Linked Data and Semantic Web applications. It begins with key concepts related to Linked Data, the Semantic Web, and applications. It then describes two key steps in developing such applications: publishing data as Linked Data and consuming Linked Data to build applications. Examples are provided of extracting, enriching, and linking different datasets to build a real estate recommendation application that performs semantic searches over the integrated data. Ontologies are created and reused to represent the domains and support interoperability. The document emphasizes integrating the data and software engineering perspectives in developing Semantic Web applications.
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.
This tutorial explains the Data Web vision, some preliminary standards and technologies as well as some tools and technological building blocks developed by AKSW research group from Universität Leipzig.
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.
This query will not return any results. The pattern specified in the WHERE clause contains two triples, but the second triple contains a syntax error - it is missing the property between ?x and ?ema. A valid property like email would need to be specified, such as:
SELECT ?name WHERE {
?x name ?name .
?x email ?email
}
This query will select and return the ?name of any resources ?x that have both a name and email property specified.
This document discusses the Semantic Web and Linked Data. It provides an overview of key Semantic Web technologies like RDF, URIs, and SPARQL. It also describes several popular Linked Data datasets including DBpedia, Freebase, Geonames, and government open data. Finally, it discusses the Yahoo BOSS search API and WebScope data for building search applications.
This document provides an introduction to the RDF data model. It describes RDF as a data model that represents data as subject-predicate-object triples that can be used to describe resources. These triples form a directed graph. The document provides examples of RDF triples and graphs, and compares the RDF data model to relational and XML data models. It also describes common RDF formats like RDF/XML, Turtle, N-Triples, and how RDF graphs from different sources can be merged.
An introduction to Semantic Web and Linked DataFabien Gandon
Here are the steps to answer this SPARQL query against the given RDF base:
1. The query asks for all ?name values where there is a triple with predicate "name" and another triple with the same subject and predicate "email".
2. In the base, _:b is the only resource that has both a "name" and "email" triple.
3. _:b has the name "Thomas".
Therefore, the only result of the query is ?name = "Thomas".
So the result of the SPARQL query is:
?name
"Thomas"
RDF is a general method to decompose knowledge into small pieces, with some rules about the semantics or meaning of those pieces. The point is to have a method so simple that it can express any fact, and yet so structured that computer applications can do useful things with knowledge expressed in RDF.
The document discusses general trees, which are a type of tree data structure where each node can have zero or more children. It defines a general tree, lists some key properties like the number of nodes, height, root, leaves, and ancestors. The document also provides examples of different types of trees including binary trees, balanced trees, unbalanced trees, red-black trees, and B-trees. It briefly mentions simulating a general tree and implementing tree data structures in programming.
As part of a 5 series discussion, this informal learning group discussion focused on the overview of Semantic web and an introduction to Linked Data principles. Additionally participants received an overview of the foundations of triple statement. Instructor then led a hands on triple statement activity
Lecture Notes by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2014/01/sparql-rdf-query-language.html
and http://www.jarrar.info
The lecture covers:
- SPARQL Basics
- SPARQL Practical Session
This document discusses developing a unified PageRank calculation for Wikidata using links from multiple language editions of Wikipedia. It describes the existing DBpedia PageRank, which is based only on the English Wikipedia, and efforts to expand coverage using Wikidata URIs. Merging page links data from the ten largest Wikipedia language editions increased coverage to over 10 million entities, addressing the bias of single-language PageRanks. A unified Wikidata PageRank could enable improved cross-lingual entity summarization and identification of popular entities across language barriers.
The document discusses several options for publishing data on the Semantic Web. It describes Linked Data as the preferred approach, which involves using URIs to identify things and including links between related data to improve discovery. It also outlines publishing metadata in HTML documents using standards like RDFa and Microdata, as well as exposing SPARQL endpoints and data feeds.
This document describes a project to mine named entities from Wikipedia. It discusses using Wikipedia's internal links, redirect links, external links, and categories to identify named entities and their synonyms with high accuracy. It presents an algorithm for generic named entity recognition that classifies Wikipedia entries based on capitalization, title formatting, and other features. The project aims to build a search system that matches queries to candidates using vector space modeling and considers contextual windows around search terms.
The document discusses different options for publishing metadata on the Semantic Web, including standalone RDF documents, embedding metadata in web pages using techniques like RDFa, providing SPARQL endpoints, publishing feeds, and using automated tools. It provides examples and discusses the advantages of each approach. A brief history of metadata publishing efforts is also presented, from early initiatives like HTML meta tags and SHOE to current standards like RDFa and microformats.
Year of the Monkey: Lessons from the first year of SearchMonkeyPeter Mika
This document discusses publishing content on the Semantic Web. It introduces basic concepts of RDF and the Semantic Web like resources, literals, and triples. It then describes six main ways to publish RDF data on the web: 1) standalone RDF documents, 2) metadata inside webpages using techniques like RDFa, 3) SPARQL endpoints, 4) feeds, 5) XSLT transformations, and 6) automatic markup tools. Finally, it briefly discusses the history of embedding metadata in HTML and examples of metadata standards.
A non-technical introduction to Linked Data, from a Cultural Heritage organization's perspective. This presentation is from the Provenance Index workshop at the Getty in 2016, with an emphasis on why Linked Data is valuable, as well as how it works in general. [Please see speaker notes for explanations of image slides]
The document discusses discovery of resources in the International Image Interoperability Framework (IIIF). It proposes a three component approach: 1) a central registry of links to IIIF content, 2) crawling software to populate search engines by following links in the registry, and 3) user-oriented search engines over the crawled content. Key questions addressed include what should be included in the registry, how crawlers should work, what data search engines should index, and how users can access search results. The document seeks input on next steps such as deciding on a format for the registry and APIs to support functions like submission and browsing.
The document introduces the Semantic Web and the key technologies that enable it, including RDF, RDF Schema, OWL, and SPARQL. RDF allows for describing resources and relationships between them using triples. RDF Schema extends RDF with a vocabulary for describing properties and classes of resources. OWL builds on RDF and RDF Schema to provide additional expressive power for defining complex ontologies. SPARQL is a query language for retrieving and manipulating data stored in RDF format. These technologies work together to transform the existing web of documents into a web of linked data that can be processed automatically by machines.
This document provides guidance on finding academic sources for a research paper through the CSULB library resources. It outlines the key elements to include in a reference list citation and recommends using the library databases and OneSearch tool to find peer-reviewed journal articles, books, and reports on a topic. The document emphasizes searching with subject-specific keywords and terminology, and using search filters, limits, and connectors to refine results. It also notes how to request full-text articles that are not immediately available.
Providing open data is of interest for its societal and commercial value, for transparency, and because more people can do fun things with data. There is a growing number of initiatives to provide open data, from, for example, the UK government and the World Bank. However, much of this data is provided in formats such as Excel files, or even PDF files. This raises the question of
- How best to provide access to data so it can be most easily reused?
- How to enable the discovery of relevant data within the multitude of available data sets?
- How to enable applications to integrate data from large numbers of formerly unknown data sources?
One way to address these issues to to use the design principles of linked data (http://www.w3.org/DesignIssues/LinkedData.html), which suggest best practices for how to publish and connect structured data on the Web. This presentation gives an overview of linked data technologies (such as RDF and SPARQL), examples of how they can be used, as well as some starting points for people who want to provide and use linked data.
The presentation was given on August 8, at the Hacknight event (http://hacknight.se/) of Forskningsavdelningen (http://forskningsavd.se/) (Swedish: “Research Department”) a hackerspace in Malmö.
This document describes a project to mine named entities from Wikipedia. It discusses using Wikipedia's internal links, redirect links, external links, and categories to identify named entities and their synonyms with high accuracy. It presents an algorithm for generic named entity recognition that classifies Wikipedia entries as entities based on title properties and an approach to extract synonyms using link structures.
The document provides an introduction to RDF (Resource Description Framework). It discusses that RDF is a framework for describing resources using statements with a subject, predicate, and object. RDF identifies resources with URIs and describes resources and their properties and property values. An example RDF document is provided that describes CDs with properties like artist, country, and price.
This document provides guidance on conducting research on a topic related to immigration and student activism. It suggests keywords and search strings to use in databases to find relevant qualitative sources, such as articles using ethnography, case studies or interviews. Tips are provided on formatting citations in APA and ASA style, including common errors to avoid and how to fix them. Microsoft Word shortcuts are also included for changing case and creating hanging indents for citations.
O documento sugere lavar as mãos após o uso do computador, possivelmente por conta de germes e bactérias que podem se acumular no teclado e mouse. A mensagem também insinua algo misterioso que pode acontecer à noite na mesa de trabalho após desligar o computador.
RDF is a general method to decompose knowledge into small pieces, with some rules about the semantics or meaning of those pieces. The point is to have a method so simple that it can express any fact, and yet so structured that computer applications can do useful things with knowledge expressed in RDF.
The document discusses general trees, which are a type of tree data structure where each node can have zero or more children. It defines a general tree, lists some key properties like the number of nodes, height, root, leaves, and ancestors. The document also provides examples of different types of trees including binary trees, balanced trees, unbalanced trees, red-black trees, and B-trees. It briefly mentions simulating a general tree and implementing tree data structures in programming.
As part of a 5 series discussion, this informal learning group discussion focused on the overview of Semantic web and an introduction to Linked Data principles. Additionally participants received an overview of the foundations of triple statement. Instructor then led a hands on triple statement activity
Lecture Notes by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2014/01/sparql-rdf-query-language.html
and http://www.jarrar.info
The lecture covers:
- SPARQL Basics
- SPARQL Practical Session
This document discusses developing a unified PageRank calculation for Wikidata using links from multiple language editions of Wikipedia. It describes the existing DBpedia PageRank, which is based only on the English Wikipedia, and efforts to expand coverage using Wikidata URIs. Merging page links data from the ten largest Wikipedia language editions increased coverage to over 10 million entities, addressing the bias of single-language PageRanks. A unified Wikidata PageRank could enable improved cross-lingual entity summarization and identification of popular entities across language barriers.
The document discusses several options for publishing data on the Semantic Web. It describes Linked Data as the preferred approach, which involves using URIs to identify things and including links between related data to improve discovery. It also outlines publishing metadata in HTML documents using standards like RDFa and Microdata, as well as exposing SPARQL endpoints and data feeds.
This document describes a project to mine named entities from Wikipedia. It discusses using Wikipedia's internal links, redirect links, external links, and categories to identify named entities and their synonyms with high accuracy. It presents an algorithm for generic named entity recognition that classifies Wikipedia entries based on capitalization, title formatting, and other features. The project aims to build a search system that matches queries to candidates using vector space modeling and considers contextual windows around search terms.
The document discusses different options for publishing metadata on the Semantic Web, including standalone RDF documents, embedding metadata in web pages using techniques like RDFa, providing SPARQL endpoints, publishing feeds, and using automated tools. It provides examples and discusses the advantages of each approach. A brief history of metadata publishing efforts is also presented, from early initiatives like HTML meta tags and SHOE to current standards like RDFa and microformats.
Year of the Monkey: Lessons from the first year of SearchMonkeyPeter Mika
This document discusses publishing content on the Semantic Web. It introduces basic concepts of RDF and the Semantic Web like resources, literals, and triples. It then describes six main ways to publish RDF data on the web: 1) standalone RDF documents, 2) metadata inside webpages using techniques like RDFa, 3) SPARQL endpoints, 4) feeds, 5) XSLT transformations, and 6) automatic markup tools. Finally, it briefly discusses the history of embedding metadata in HTML and examples of metadata standards.
A non-technical introduction to Linked Data, from a Cultural Heritage organization's perspective. This presentation is from the Provenance Index workshop at the Getty in 2016, with an emphasis on why Linked Data is valuable, as well as how it works in general. [Please see speaker notes for explanations of image slides]
The document discusses discovery of resources in the International Image Interoperability Framework (IIIF). It proposes a three component approach: 1) a central registry of links to IIIF content, 2) crawling software to populate search engines by following links in the registry, and 3) user-oriented search engines over the crawled content. Key questions addressed include what should be included in the registry, how crawlers should work, what data search engines should index, and how users can access search results. The document seeks input on next steps such as deciding on a format for the registry and APIs to support functions like submission and browsing.
The document introduces the Semantic Web and the key technologies that enable it, including RDF, RDF Schema, OWL, and SPARQL. RDF allows for describing resources and relationships between them using triples. RDF Schema extends RDF with a vocabulary for describing properties and classes of resources. OWL builds on RDF and RDF Schema to provide additional expressive power for defining complex ontologies. SPARQL is a query language for retrieving and manipulating data stored in RDF format. These technologies work together to transform the existing web of documents into a web of linked data that can be processed automatically by machines.
This document provides guidance on finding academic sources for a research paper through the CSULB library resources. It outlines the key elements to include in a reference list citation and recommends using the library databases and OneSearch tool to find peer-reviewed journal articles, books, and reports on a topic. The document emphasizes searching with subject-specific keywords and terminology, and using search filters, limits, and connectors to refine results. It also notes how to request full-text articles that are not immediately available.
Providing open data is of interest for its societal and commercial value, for transparency, and because more people can do fun things with data. There is a growing number of initiatives to provide open data, from, for example, the UK government and the World Bank. However, much of this data is provided in formats such as Excel files, or even PDF files. This raises the question of
- How best to provide access to data so it can be most easily reused?
- How to enable the discovery of relevant data within the multitude of available data sets?
- How to enable applications to integrate data from large numbers of formerly unknown data sources?
One way to address these issues to to use the design principles of linked data (http://www.w3.org/DesignIssues/LinkedData.html), which suggest best practices for how to publish and connect structured data on the Web. This presentation gives an overview of linked data technologies (such as RDF and SPARQL), examples of how they can be used, as well as some starting points for people who want to provide and use linked data.
The presentation was given on August 8, at the Hacknight event (http://hacknight.se/) of Forskningsavdelningen (http://forskningsavd.se/) (Swedish: “Research Department”) a hackerspace in Malmö.
This document describes a project to mine named entities from Wikipedia. It discusses using Wikipedia's internal links, redirect links, external links, and categories to identify named entities and their synonyms with high accuracy. It presents an algorithm for generic named entity recognition that classifies Wikipedia entries as entities based on title properties and an approach to extract synonyms using link structures.
The document provides an introduction to RDF (Resource Description Framework). It discusses that RDF is a framework for describing resources using statements with a subject, predicate, and object. RDF identifies resources with URIs and describes resources and their properties and property values. An example RDF document is provided that describes CDs with properties like artist, country, and price.
This document provides guidance on conducting research on a topic related to immigration and student activism. It suggests keywords and search strings to use in databases to find relevant qualitative sources, such as articles using ethnography, case studies or interviews. Tips are provided on formatting citations in APA and ASA style, including common errors to avoid and how to fix them. Microsoft Word shortcuts are also included for changing case and creating hanging indents for citations.
O documento sugere lavar as mãos após o uso do computador, possivelmente por conta de germes e bactérias que podem se acumular no teclado e mouse. A mensagem também insinua algo misterioso que pode acontecer à noite na mesa de trabalho após desligar o computador.
The document discusses 7 reflections on customer experience. It states that customer experience reflects one's character, passion, and abilities. It also notes that companies should focus on being ethical rather than only looking at the business case or ROI of improving customer experience. Finally, it argues that true customer-centric businesses touch customers' core needs and aspirations, rather than just using customer centricity for cross-selling and up-selling.
Este documento discute a importância de agradecer por aquilo que se tem e evitar o desperdício. Pede às pessoas para orarem pelos que sofrem e serem sensíveis ao sofrimento dos outros. Inclui uma foto famosa de uma criança faminta no Sudão para lembrar às pessoas quão afortunados são.
The document provides information about home heating and cooling products from Trane, including furnaces, heat pumps, air handlers, and filters. It describes several Trane furnace and heat pump models that offer high efficiency ratings. It also discusses an EarthWise hybrid system that can switch between a heat pump and gas furnace for optimized efficiency. Finally, it promotes Trane's CleanEffects air filtration system and its ability to remove 99.98% of particles from filtered air.
The document introduces the concept of Linked Data and discusses how it can be used to publish structured data on the web by connecting data from different sources. It explains the principles of Linked Data, including using HTTP URIs to identify things, providing useful information when URIs are dereferenced, and including links to other URIs to enable discovery of related data. Examples of existing Linked Data datasets and applications that consume Linked Data are also presented.
Talk delivered at YOW! Developer Conferences in Melbourne, Brisbane and Sydney Australia on 1-9 December 2016.
Abstract: Governments collect a lot of data. Data on air quality, toxic chemicals, laws and regulations, public health, and the census are intended to be widely distributed. Some data is not for public consumption. This talk focuses on open government data — the information that is meant to be made available for benefit of policy makers, researchers, scientists, industry, community organisers, journalists and members of civil society.
We’ll cover the evolution of Linked Data, which is now being used by Google, Apple, IBM Watson, federal governments worldwide, non-profits including CSIRO and OpenPHACTS, and thousands of others worldwide.
Next we’ll delve into the evolution of the U.S. Environmental Protection Agency’s Open Data service that we implemented using Linked Data and an Open Source Data Platform. Highlights include how we connected to hundreds of billions of open data facts in the world’s largest, open chemical molecules database PubChem and DBpedia.
WHO SHOULD ATTEND
Data scientists, software engineers, data analysts, DBAs, technical leaders and anyone interested in utilising linked data and open government data.
The Datalift Project aims to publish and interconnect government open data. It develops tools and methodologies to transform raw datasets into interconnected semantic data. The project's first phase focuses on opening data by developing an infrastructure to ease publication. The second phase will validate the platform by publishing real datasets. The goal of Datalift is to move data from its raw published state to being fully interconnected on the Semantic Web.
This document summarizes a workshop on linking library data. It introduces linked data and key technologies used for linking such as URIs, RDF, and SPARQL. It discusses challenges in linking data like finding suitable datasets to link, encouraging others to link to your data, determining link quality, and maintaining links over time. Finally, it briefly introduces the Silk framework for interlinking data and having participants discuss practical linking of library data.
The document is an assignment for a Semantic Web course. It includes questions and answers about key concepts of the Semantic Web, such as the meaning of the term "Semantic Web", why data interoperability on the web is difficult, why DBpedia is important for linking data, and the four rules of linked data. It also lists and describes four datasets from linkeddata.org and the ontologies used by each.
Linked data demystified:Practical efforts to transform CONTENTDM metadata int...Cory Lampert
This document outlines a presentation about transforming metadata from a CONTENTdm digital collection into linked data. It discusses the concepts of linked data, including defining linked data, linked data principles, technologies and standards. It then explains how these concepts can be applied to digital collection records, including anticipated challenges working with CONTENTdm. The document describes a linked data project at UNLV Libraries to transform collection records into linked data and publish it on the linked data cloud. It provides tips for creating metadata that is more suitable for linked data.
The document provides an overview of how the LOCAH project is applying Linked Data concepts to expose archival and bibliographic data from the Archives Hub and Copac as Linked Open Data. It describes the process of (1) modeling the data as RDF triples, (2) transforming existing XML data to RDF, (3) enhancing the data by linking to external vocabularies and datasets, (4) loading the RDF into a triplestore, and (5) creating Linked Data views to expose the data on the web. The goal is to publish structured data that can be interconnected across domains to enable new uses by both humans and machines.
This is an informal overview of Linked Data and the usage made of it for the project http://res.space (presented on August 11th 2016 during a team meeting)
These slides were presented as part of a W3C tutorial at the CSHALS 2010 conference (http://www.iscb.org/cshals2010). The slides are adapted from a longer introduction to the Semantic Web available at http://www.slideshare.net/LeeFeigenbaum/semantic-web-landscape-2009 .
A PDF version of the slides is available at http://thefigtrees.net/lee/sw/cshals/cshals-w3c-semantic-web-tutorial.pdf .
Epiphany: Adaptable RDFa Generation Linking the Web of Documents to the Web o...Benjamin Adrian
This presentation is about Epiphany, a system that automatically generates RDFa annotated versions of web pages based on information from Linked Data models.
Information Extraction and Linked Data CloudDhaval Thakker
The document discusses Press Association's semantic technology project which aims to generate a knowledge base using information extraction and the Linked Data Cloud. It outlines Press Association's operations and workflow, and how semantic technologies can be used to develop taxonomies, annotate images, and extract entities from captions into an ontology-based knowledge base. The knowledge base can then be populated and interlinked with external datasets from the Linked Data Cloud like DBpedia to provide a comprehensive, semantically-structured source of information.
A Generic Scientific Data Model and Ontology for Representation of Chemical DataStuart Chalk
The current movement toward openness and sharing of data is likely to have a profound effect on the speed of scientific research and the complexity of questions we can answer. However, a fundamental problem with currently available datasets (and their metadata) is heterogeneity in terms of implementation, organization, and representation.
To address this issue we have developed a generic scientific data model (SDM) to organize and annotate raw and processed data, and the associated metadata. This paper will present the current status of the SDM, implementation of the SDM in JSON-LD, and the associated scientific data model ontology (SDMO). Example usage of the SDM to store data from a variety of sources with be discussed along with future plans for the work.
Detailed how-to guide covering the fusion of ODBC and Linked Data, courtesy of Virtuoso.
This presentation includes live links to actual ODBC and Linked Data exploitation demos via an HTML5 based XMLA-ODBC Client. It covers:
1. SPARQL queries to various Linked (Open) Data Sources via ODBC
2. ODBC access to SQL Views generated from federated SPARQL queries
3. Local and Network oriented Hyperlinks
4. Structured Data Representation and Formats.
This document discusses publishing content on the Semantic Web. It introduces basic concepts of RDF and the Semantic Web like resources, literals, and triples. It then describes six main ways to publish RDF data on the web: 1) standalone RDF documents, 2) metadata inside webpages using formats like RDFa, 3) SPARQL endpoints, 4) feeds, 5) XSLT transformations, and 6) automatic markup tools. Finally, it briefly reviews the history of embedding metadata in HTML and examples of formats used.
The document discusses metadata and semantic web technologies. It provides an example of using RDFa to embed metadata in a web page about a book. It also shows how schema.org, microformats, and microdata can be used to add structured metadata. Finally, it discusses linked data and how semantic web technologies allow sharing and linking data on the web.
Roadmap from ESEPaths to EDMPaths: a note on representing annotations resulti...pathsproject
Roadmap from ESEPaths to EDMPaths: a note on representing annotations resulting from automatic enrichment - Aitor Soroa, Eneko Agirre, Arantxa Otegi and Antoine Isaac
This document is a case study on using the Europeana Data Model (EDM) [Doerr et al., 2010] for representing annotations of Cultural Heritage Objects (CHO). One of the main goals of
the PATHS project is to augment CHOs (items) with information that will enrich the user’s experience. The additional information includes links between items in cultural collections and from items to external sources like Wikipedia. With this goal, the PATHS project has applied Natural Language Processing (NLP) techniques on a subset of the items in Europeana.
The document discusses the development of the Semantic Web, which extends the current web to a web of data through the use of metadata, ontologies, and formal semantics. It describes key technologies like the Resource Description Framework (RDF) and Web Ontology Language (OWL) that add machine-readable meaning to web documents. The Semantic Web aims to enable machines to process and understand the semantics of information on the web.
The document discusses the concepts of linked data, how it can be created and deployed from various data sources, and how it can be exploited. Linked data allows accessing data on the web by reference using HTTP-based URIs and RDF, forming a giant global graph. It can be generated from existing web pages, services, databases and content, and deployed using a linked data server. Exploiting linked data allows discovery, integration and conceptual interaction across silos of heterogeneous data on the web and in enterprises.
Similar to Using Hyperlinks to Enrich Message Board Content with Linked Data (20)
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
6. Change in type of websites linked to of XYZ 2002/2003 2007/2008 Domain Main Content Type bbc.co.uk news media komplett.ie shop ireland.com news media eircom.net Web hosting yahoo.com news/discussion r te.ie news media google.com Web search g eocities.com Web hosting iol.ie Web hosting microsoft.com technical support Domain Main Content Type youtube.com UGC: video-sharing wikipedia.org UGC: encyclopedia komplett.ie shop myspace.com UGC: SNS/music flickr.com UGC: photo-sharing bbc.co.uk news media rte.ie news media carzone.ie shop photobucket.com UGC: media hosting ebay.ie shop
10. Analysis of external links For 2007/2008, we could access structured data for over 9% of all posted links 98/ 99/ 00/ 01/ 02/ 03/ 04/ 05/ 06/ 07/ 99 00 01 02 03 04 05 06 07 08