Fitbit instructions
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The document outlines 7 steps for setting up a Fitbit Zip device: 1) choose a color, 2) ensure your smartphone is compatible, 3) use a USB Bluetooth dongle if your device is incompatible, 4) create a Fitbit account during setup providing height and weight, 5) turn on Bluetooth and enter a code to link the Zip, 6) sync data whenever near your phone/laptop, and 7) create a CARRE Devices account to sync Fitbit data to a private RDF graph accessible via SPARQL.
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This document discusses tools and techniques for monitoring global media data and events. It introduces several systems developed at the Jozef Stefan Institute for collecting news articles from around the world, enriching documents with semantic annotations, linking information across languages, and analyzing news reporting bias. It also addresses representing events with structured and semantic descriptions and tracking how topics evolve over time through an event registry system. The overall goal is to establish an integrated real-time pipeline for processing multilingual media, identifying events, and providing visualization of global event dynamics.
Hands On: Amazon Mechanical Turk - M. Acosta - ESWC SS 2014
This document provides an overview of Amazon Mechanical Turk (MTurk) and how it can be used for crowdsourcing projects. It discusses key MTurk concepts like requesters, workers, HITs, assignments, and qualifications. It then walks through the steps to create an MTurk project, including defining the HIT properties, previewing templates, creating batches, publishing HITs, and reviewing results. Finally, it discusses best practices like testing HITs in the sandbox environment and monitoring worker forums.
Tutorial: Querying a Marine Data Warehouse Using SPARQL - I. Fundulaki - ESWC...
This document describes querying a marine data warehouse using SPARQL. It discusses the MarineTLO ontology used to integrate data about marine species from multiple sources. Examples are provided of SPARQL queries against the MarineTLO warehouse to retrieve information about species, their distributions, relationships and more. A series of 21 example queries are also listed that demonstrate different ways of interrogating the semantic data in the warehouse.
Mon norton tut_publishing01
This document discusses different data formats for representing cultural data on the web and their pros and cons, including CSV, RDBMS, XML/SOAP, and JSON/REST. It advocates for using URIs, HTTP, and semantic web standards like RDF and SPARQL to represent cultural data in a way that is distributed, extensible, and links related resources on the web.
Mon domingue introduction to the school
The document outlines the schedule and activities for a summer school on semantic web technologies. The summer school will include tutorials on topics such as linked data, ontologies, and data publishing/preservation. Students will work in groups on mini-projects with guidance from tutors. There will be keynote speakers each day and social events planned. The goal is for students to learn practical skills through hands-on experience while interacting with peers and experts in the field.
Mon norton tut_querying cultural heritage data
This document discusses querying cultural heritage data stored as graphs using SPARQL. It provides examples of retrieving single and sets of triples from the graph and explains how a SPARQL server can perform additional reasoning. Exercises demonstrate querying for object owners and their names, exporting query results to CSV, and counting objects made of different materials.
Tue acosta hands_on_providinglinkeddata
This document outlines the goals and instructions for a hands-on session to publish a dataset as linked data. The session will divide participants into three groups to work on creating, interlinking, and publishing the RDF dataset. Each group will have 40 minutes to select vocabularies, design URIs, transform tabular data into RDF, select target datasets to link to, create metadata using VoID, and select a license. Then each group will present their work in 1 minute without slides. The overall goal is to accomplish the tasks of creating, interlinking, and publishing the RDF dataset.
Thu bernstein key_warp_speed
The document discusses processing linked data at high speeds using the Signal/Collect graph algorithm framework. It provides examples of how Signal/Collect can be used to perform tasks like RDFS subclass inference and PageRank calculation on semantic graphs. It also summarizes performance results showing that TripleRush, an implementation of Signal/Collect, outperforms other graph processing systems on benchmark datasets. Finally, it discusses ongoing work on graph partitioning with TripleRush.
Fri schreiber key_knowledge engineering
This document discusses knowledge engineering and the use of knowledge on the web. It covers web data representation using standards like RDF, HTML5 and SKOS. It discusses categorizing knowledge from different sources and aligning categories. It also discusses using knowledge through techniques like visualization, graph-based search across linked data, and improving search through vocabulary alignment and location-based queries.
Mon norton tut_queryinglinkeddata02
This document provides an overview of querying linked data using SPARQL. It begins with an introduction and motivation for querying linked data. It then covers the basics of SPARQL including its components like prefixes, query forms, and solution modifiers. Several examples are provided demonstrating how to construct ASK, SELECT, and other types of SPARQL queries. The document also discusses SPARQL algebra and updating linked data with SPARQL 1.1.
Mon fundulaki tut_querying linked data
This document provides an overview of SPARQL, the query language for retrieving and manipulating data stored in RDF format. It describes the basic components of SPARQL including triple patterns, basic graph patterns, group graph patterns, filters, and how these patterns are matched against RDF data to retrieve variable bindings. It also gives a brief introduction to SPARQL 1.1 features for querying and updating RDF stores.
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- 1. Fitbit Zip Setup Seven steps to counting your steps
- 2. Fitbit Zip 1. Choose your colour*… *Subject to availability
- 3. Smartphone users • Is your device here http://www.fitbit.com/devices? • iPhone 4S onwards, iPad 3 onwards, iPad Mini, iPod Touch (5th gen.) • Android 4.3 (Jelly Bean) with Bluetooth Low Energy • Windows Phone 8.1 with Bluetooth Low Energy • Setup and sync device on your phone.
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