Efficient and Flexible Access to Datasets on the Semantic
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Intro to Google for the Hill
Introduction to A company built on search Our mission Google’s mission is to organize the world’s information and make it universally accessible and useful. As a first step to fulfilling this mission, Google’s founders Larry Page and Sergey Brin developed a new approach to online search that took root in a Stanford University dorm room and quickly spread to information seekers around the globe. The Google search engine is an easy-to-use, free service that consistently returns relevant results in a fraction of a second. What we do Google is more than a search engine. We also offer Gmail, maps, personal blogging, and web-based word processing products to name just a few. YouTube, the popular online video service, is part of Google as well. Most of Google’s services are free, so how do we make money? Much of Google’s revenue comes through our AdWords advertising program, which allows businesses to place small “sponsored links” alongside our search results. Prices for these ads are set by competitive auctions for every search term where advertisers want their ads to appear. We don’t sell placement in the search results themselves, or allow people to pay for a higher ranking there. In addition, website managers and publishers take advantage of our AdSense advertising program to deliver ads on their sites. This program generates billions of dollars in revenue each year for hundreds of thousands of websites, and is a major source of funding for the free content available across the web. Google also offers enterprise versions of our consumer products for businesses, organizations, and government entities. -
Web Site Metadata
Web Site Metadata Erik Wilde and Anuradha Roy School of Information UC Berkeley Abstract. Understanding the availability of site metadata on the Web is a foundation for any system or application that wants to work with the pages published by Web sites, and also wants to understand a Web site’s structure. There is little information available about how much information Web sites make available about themselves, and this paper presents data addressing this question. Based on this analysis of available Web site metadata, it is easier for Web-oriented applications to be based on statistical analysis rather than assumptions when relying on Web site metadata. Our study of robots.txt files and sitemaps can be used as a starting point for Web-oriented applications wishing to work with Web site metadata. 1 Introduction This paper presents first results from a project which ultimately aims at pro- viding accessible Web site navigation for Web sites [1]. One of the important intermediary steps is to understand how much metadata about Web sites is made available on the Web today, and how much navigational information can be extracted from that metadata. Our long-term goal is to establish a standard way for Web sites to expose their navigational structure, but since this is a long-term goal with a long adoption process, our mid-term goal is establish a third-party service that provides navigational metadata about a site as a service to users interested in that information. A typical scenario would be blind users; they typically have difficulties to navigate Web sites, because most usability and accessibility methods focus on Web pages rather than Web sites. -
Provenance and Annotations for Linked Data
Proc. Int’l Conf. on Dublin Core and Metadata Applications 2013 Provenance and Annotations for Linked Data Kai Eckert University of Mannheim, Germany [email protected] Abstract Provenance tracking for Linked Data requires the identification of Linked Data resources. Annotating Linked Data on the level of single statements requires the identification of these statements. The concept of a Provenance Context is introduced as the basis for a consistent data model for Linked Data that incorporates current best-practices and creates identity for every published Linked Dataset. A comparison of this model with the Dublin Core Abstract Model is provided to gain further understanding, how Linked Data affects the traditional view on metadata and to what extent our approach could help to mediate. Finally, a linking mechanism based on RDF reification is developed to annotate single statements within a Provenance Context. Keywords: Provenance; Annotations; RDF; Linked Data; DCAM; DM2E; 1. Introduction This paper addresses two challenges faced by many Linked Data applications: How to provide, access, and use provenance information about the data; and how to enable data annotations, i.e., further statements about the data, subsets of the data, or even single statements. Both challenges are related as both require the existence of identifiers for the data. We use the Linked Data infrastructure that is currently developed in the DM2E project as an example with typical use- cases and resulting requirements. 1.1. Foundations Linked Data, the publication of data on the Web, enables easy access to data and supports the reuse of data. The Hypertext Transfer Protocol (HTTP) is used to access a Uniform Resource Identifier (URI) and to retrieve data about the resource. -
SEO SERVICES. Bad Penny Factory Is a Digital Narration and Design Agency, Founded in Oklahoma and Grown and Nurtured in the USA
SERVICES. SEO Bad Penny Factory is a digital narration and design agency, founded in Oklahoma and grown and nurtured in the USA. Bad Penny Factory is an award winning agency with prestigious accolades recognized the world over. COMPANY SEO SERVICES SEO PACKAGES Search Engine Optimization (SEO) uses specific keywords to help to boost the number of people that visit your website. How does it work? It targets users that are most likely to convert on your website and takes them there. Our SEO also packages ensure long-term keyword connections to ensure secured ranking placements on search results pages. $500/Month $750/Month • 9, 12 and 18 Month Terms • 9, 12 and 18 Month Terms • One-Time $275 Setup Fee • One-Time $375 Setup Fee • Services for 1 Website • Services for 1 Website // Entry Packages with Scalable Options Bad Penny Factory SEO Packages Aggressive Market Leader Number of Keyphrases Optimized Up to 80 Up to 150 Keyphrase Research and Predictive Selection X X Meta Tags (titles and descriptions) X X Optimization of Robots.txt and GoogleBot Crawls X X Creation and Registrations of Sitemap.xml X X Google My Business Optimization X X Custom Client Reporting Dashboards with Data Views X X Local Search Optimization X X View and Track Competitor Data and Search Rankings X X Original Blog Post Creation 2 Assets Per Month 4 Assets Per Month Link Repair and Building X X Add-On Domain Selection and Buying 2 Assets 5 Assets Media Library and Image Collection Optimization Up to 80 Up to 300 Voice Search Optimization X X Page Speed Audit X X Creation -
Semantics Developer's Guide
MarkLogic Server Semantic Graph Developer’s Guide 2 MarkLogic 10 May, 2019 Last Revised: 10.0-8, October, 2021 Copyright © 2021 MarkLogic Corporation. All rights reserved. MarkLogic Server MarkLogic 10—May, 2019 Semantic Graph Developer’s Guide—Page 2 MarkLogic Server Table of Contents Table of Contents Semantic Graph Developer’s Guide 1.0 Introduction to Semantic Graphs in MarkLogic ..........................................11 1.1 Terminology ..........................................................................................................12 1.2 Linked Open Data .................................................................................................13 1.3 RDF Implementation in MarkLogic .....................................................................14 1.3.1 Using RDF in MarkLogic .........................................................................15 1.3.1.1 Storing RDF Triples in MarkLogic ...........................................17 1.3.1.2 Querying Triples .......................................................................18 1.3.2 RDF Data Model .......................................................................................20 1.3.3 Blank Node Identifiers ..............................................................................21 1.3.4 RDF Datatypes ..........................................................................................21 1.3.5 IRIs and Prefixes .......................................................................................22 1.3.5.1 IRIs ............................................................................................22 -
Endeca Sitemap Generator Developer's Guide Version 2.1.1 • March 2012
Endeca Sitemap Generator Developer's Guide Version 2.1.1 • March 2012 Contents Preface.............................................................................................................................7 About this guide............................................................................................................................................7 Who should use this guide............................................................................................................................8 Conventions used in this guide.....................................................................................................................8 Contacting Oracle Endeca Customer Support..............................................................................................8 Chapter 1: Introduction..............................................................................9 About sitemaps.............................................................................................................................................9 About the Endeca Sitemap Generator..........................................................................................................9 Chapter 2: Installing the Endeca Sitemap Generator............................11 System requirements..................................................................................................................................11 Installing the Sitemap Generator................................................................................................................12 -
Prior Experience Education Skills
DANNY BALGLEY [email protected] · www.DannyBalgley.com EXPERIENCE AT GOOGLE Google · Google Maps UX designer for Google Maps on the Local Discovery team working on feature enhancements for UX Designer lists and personal actions (saving & sharing.) Recent projects include high profile updates to the Dec 2017 – Present app mentioned at Google I/0 2018 including enhanced editorial lists and “Group Planning” a collaborative tool for planning a meal with friends. Current responsibilities include prototyping, rapid iteration and working with researchers and leads to evolve Google Maps from beyond just a navigation tool to a dynamic discovery app for finding places and things to do. Google · Local Search Worked on the design team tasked with modernizing placesheet from both a feature and Visual & UX Designer framework perspective, making data more accessible, organized, dynamic and contextual. This Nov 2016 – Dec 2017 involved crafting new components and scalable patterns in a contemporary way that could gracefully extend across 30+ verticals for over 250M distinct places. Responsibilities included working across PAs for UI alignment, conducting iterative research to gauge feature success and chaperoning UX updates through weekly partner team syncs. Google · Zagat Web Visual and UX designer on the small team tasked with reimagining the modern web presence for Visual & UX Designer Zagat. This required wire-framing, sitemaps, user journeys, heuristics and prototypes all while Aug 2016 – Nov 2016 working with research & content teams on both strategy and product perception. Worked closely with eng team on implementation and polish of adaptive designs and features such as the robust search and refinement experience for finding the perfect restaurant. -
Dynamic Provenance for SPARQL Updates Using Named Graphs
Dynamic Provenance for SPARQL Updates using Named Graphs Harry Halpin James Cheney World Wide Web Consortium University of Edinburgh [email protected] [email protected] Abstract nance for collections or other structured artifacts. The workflow community has largely focused on static prove- The (Semantic) Web currently does not have an offi- nance for atomic artifacts, whereas much of the work on cial or de facto standard way exhibit provenance infor- provenance in databases has focused on static or dynamic mation. While some provenance models and annota- provenance for collections (e.g. tuples in relations). tion techniques originally developed with databases or The workflow community has largely focused on workflows in mind transfer readily to RDF, RDFS and declaratively describing causality or derivation steps of SPARQL, these techniques do not readily adapt to de- processes to aid repeatability for scientific experiments, scribing changes in dynamic RDF datasets over time. and these requirements have been a key motivation for Named graphs have been introduced to RDF motivated the Open Provenance Model (OPM) [12, 11], a vocab- as a way of grouping triples in order to facilitate anno- ulary and data model for describing processes including tation, provenance and other descriptive metadata. Al- (but certainly not limited to) runs of scientific workflows. though their semantics is not yet officially part of RDF, While important in its own right, and likely to form the there appears to be a consensus based on their syntax basis for a W3C standard interchange format for prove- and semantics in SPARQL queries. Meanwhile, up- nance, OPM does not address the semantics of the prove- dates are being introduced as part of the next version nance represented in it — one could in principle use it ei- of SPARQL. -
Name That Graph Or the Need to Provide a Model and Syntax Extension to Specify the Provenance of RDF Graphs Fabien Gandon, Olivier Corby
Name That Graph or the need to provide a model and syntax extension to specify the provenance of RDF graphs Fabien Gandon, Olivier Corby To cite this version: Fabien Gandon, Olivier Corby. Name That Graph or the need to provide a model and syntax extension to specify the provenance of RDF graphs. W3C Workshop - RDF Next Steps, W3C, Jun 2010, Palo Alto, United States. hal-01170906 HAL Id: hal-01170906 https://hal.inria.fr/hal-01170906 Submitted on 2 Jul 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Name That Graph or the need to provide a model and syntax extension to specify the provenance of RDF graphs. Fabien Gandon and Olivier Corby, INRIA, W3C Member ABSTRACT When querying or reasoning on metadata from the semantic web, the source of this metadata as well as a number of other characteristics (date, trust, etc.) can be of great importance. While the SPARQL query language provides a keyword to match patterns against named graphs, the RDF data model focuses on expressing triples. In many cases it is interesting to augment these RDF triples with the notion of a provenance for each triple (or set of triples), typically an IRI specifying their real (e.g. -
SEO 101: a V9 Version of Google's Webmaster Guidelines
SEO 101: A V9 Version of Google's Webmaster Guidelines March 2016 The Basics Google’s Webmaster Guidelines have been published for years, but they recently underwent some major changes. They outline basics on what you need to do to get your site indexed, ranked and not tanked. But what if I don’t wanna follow the guidelines? A rebel, eh? Well, some of the guidelines are best practices that can help Google crawl and index your site - not always required, but a good idea. Other guidelines (specifically quality guidelines), if ignored, can earn you a hefty algorithmic or manual action - something that can lower your ranking or get you kicked out of the SERPs entirely. Google breaks the guidelines up into three sections - we’ll do the same. ● Design and content guidelines ● Technical guidelines ● Quality guidelines Before doing anything, take a gut check: ● Would I do this if search engines didn’t exist? ● Am I making choices based on what would help my users? ● Could I explain this strategy to my competitor or my mama and with confidence? ● If my site went away tomorrow, what would the world be missing? Am I offering something unique and valuable? 1 Updated March 2016 Now, Let’s Get Your Site Indexed Make Sure Your Site is Crawlable ● Check www.yourdomain.com/robots.txt ● Make sure you don’t see: User-agent: * Disallow: / ● A robots.txt file that allows bots to crawl everything would look like: User-agent: * Disallow: ● Learn more! Make Sure You’re Allowing Google to Include Pages in their Index ● Check for and remove any meta tags that noindex pages: <meta name="robots" content="noindex" /> ● Do a Fetch as Google in Search Console and check the header for x-robots: noindex directives that need to be removed X-Robots-Tag: noindex ● Learn more! 2 Updated March 2016 Submit Your Site to Google When ready, check out Google’s options for submitting content. -
Get Discovered: Sitemaps, OAI and More Overview
Get Discovered: Sitemaps, OAI and more Overview Use Cases for Discovery Site map SEO OAI PMH Get Discovered? Nah. Get Discovered! This is what I’m talking about! Discovery is all about being able to find our digital assets for RE-USE Metrics for Discoverability Mission Statements from the Wild University of Western Sydney: Research Direct Mission Statements from the Wild University of Prince Edward Island: Island Scholar How do I Start? Understand the metrics and what matters the most Standard modules in the latest version of Islandora will help Any site administrator can enable and configure them Sitemap XML Site map “ tells the search engine about the pages in a site, their relative importance to each other, and how often they are updated. [...] This helps visitors and search engine bots find pages on the site” (Wikipedia, 2014). Islandora XML Sitemaps creates these maps for your repository. Add URLs for Islandora objects to the XML sitemap module's database as custom links. When the XML sitemap module creates its sitemap it will include these custom links. http://www.islandora.ca/content/updates-islandora-7x-13-release https://github.com/Islandora/islandora_xmlsitemap Search Engine Optimization SEO “is the process of affecting the visibility of a website or a web page in a search engine's "natural" or un-paid ("organic") search results. [...] SEO may target different kinds of search, including [...] academic search.” (Wikipedia, 2014). An example of an academic search is Google Scholar. ● Islandora Google Scholar Configuration (URL/admin/islandora/solution_pack_config/scholar) -
Javascrip Alert Document Lastmodified
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