RelFinder - Visual Data Web

Ending the Invisible Library | Linked Data To explain the utility of ­semantic search and linked data, Jeff Penka, director of channel and product development for information management solutions provider Zepheira, uses a simple exercise. Type “Chevy Chase” into Google’s search box, and in addition to a list of links, a panel appears on the right of the screen, displaying photos of the actor, a short bio, date of birth, height, full name, spouses and children, and a short list of movies and TV shows in which he has starred. Continue typing the letters “ma” into the search box, and the panel instantly changes, showing images, maps, current weather, and other basic information regarding the town of Chevy Chase, MD. The panels are powered by Google’s Knowledge Graph, a massive knowledgebase that launched in May 2012 with “more than 500 million [data] objects” drawn from sources including Freebase, Wikipedia, and the CIA World Factbook, “as well as more than 3.5 billion facts about and relationships between these different objects.

Visual Data Web - Visually Experiencing the Data Web Linked Data OCLC has been working with Linked Data for several years. As can be seen from the publishing of the Dewey Decimal Classification (DDC), the Virtual International Authorities File (VIAF) and Faceted Application of Subject Terminology (FAST) as linked data. The release of experimental WorldCat Linked Data in June 2012 was another milestone in the exposure of WorldCat.org bibliographic metadata as linked data. The OCLC linked data strategy is an evolving mix of Linked Open Data (LOD) and Linked Enterprise Data (LED). This means that we will have incremental releases of new data and services, as we better understand how to model and publish the information. The next step on this evolutionary journey into linked data is the production release of WorldCat Works; the first entity in a series of WorldCat linked data releases. WorldCat Linked Data The bibliographic metadata found in WorldCat contains a rich set of objects that can be represented in linked data. Using the Data

Faceted Search Faceted Wikipedia Search allowed users to ask complex queries, like “Which Rivers flow into the Rhine and are longer than 50 kilometers?” or “Which Skyscrapers in China have more than 50 floors and have been constructed before the year 2000?” against Wikipedia. The answers to these queries are not generated using key word matching as the answers of search engines like Google or Yahoo, but are generated based on structured information that has been extracted from many different Wikipedia articles. Unfortunately, the application cannot be offered any more. Faceted Search DBpedia Search implements the faceted search paradigm. The User Interface The user interface consists of several interacting components, which are highlighted in the following screenshot and described below. Search Results: The names, abstracts and (if available) images of the Wikipedia entries matching the current criteria are displayed in the center of the page. Background neofonie GmbH, Berlin and the

AddingRulesToOntologiesWithJena – Ontology Tutorial Outline ¶ Tutorial set upJena Tutorial Program Functionality Tutorial Assignment This tutorial does not use Protege, but you might want to use it in conjunction with the tutorial to visualize the ontology. Download and unzip JenaTutorial.zip. javac -cp "lib/*" JenaTutorial And ran with: java -cp ". These instructions were tested on vogon, but the windows commands should be similar. This program is designed to allow you to access some of the features of Jena, a java based library for working with ontologies, without having to program something up yourself. The possible options when running are: [1] Load model Reads an an ontology model and converts it to statements and loads the statements into a Jena model. [2] Run rules Runs a Jena rules file on the model. [3] Print all statements Print all statements in the model. [4] Query model Enter a pattern to match statements in the model against. [5] Print number of statements Prints the number of statements to give you an idea of the size the model.

Synthesis Lectures on Information Concepts, Retrieval, and Services Lectures available online | Lectures under development Editor Gary Marchionini, University of North Carolina at Chapel Hill Annual Subscription Pricing for this Series Synthesis Lectures on Information Concepts, Retrieval, and Services is edited by Gary Marchionini of the University of North Carolina. Series ISSN: 1947-945X (print) 1947-9468 (electronic) For related titles, please see our series in Data ManagementHuman Language Technologies Lectures available online What is RSS? Digital Library Technologies: Complex Objects, Annotation, Ontologies, Classification, Extraction, and Security Digital Libraries Applications: CBIR, Education, Social Networks, eScience/Simulation, and GIS Transforming Technologies to Manage Our Information: The Future of Personal Information Management, Part II On the Efficient Determination of Most Near Neighbors: Horseshoes, Hand Grenades, Web Search and Other Situations When Close is Close Enough Information Concepts: From Books to Cyberspace Identities

LibreCat/Catmandu data processing toolkit The Problem With The Semantic Web: Usability Check out Duane Degler’s presentation User Interfaces for the Semantic Web. In skimming it, I came across this quote from semantic web guru Ora Lassila, which comes from his blog post Semantic Web Soul Searching: After 10+ years of work into various aspects of the Semantic Web and its constituent technologies, I am now fully convinced (read: no longer in denial) that most of the remaining challenges to realize the Semantic Web vision have nothing to do with the underlying technologies involving data, ontologies, reasoning, etc. For a long time (longer than I have worked on the Semantic Web) I have wanted to build systems that work on users’ behalf. This is a really powerful quote for anyone involved in UI design with semantic technologies. In two related presentations I gave in the past couple of years, I make similar claims. Yet, most of the attention in discussions around semantic capabilities goes to the technological aspects. Like this: Like Loading...

ImageSnippets – ImageSnippets Semantic Search Survey - SWUIWiki From SWUIWiki Hildebrand et al. are conducting a survey on the role of semantics in current end user search applications. An analysis of this survey is described in [1] . Other resources W3C maintains a list of Semantic Web Tools and various others exists, such as the Developers Guide to Semantic Web Toolkits and the Comprehensive Listing of Semantic Web and Related Tools by Michael K. Analysis of Systems (inProgress) We have started compiling a list of systems that provide access to semantic web data through a graphical user interface. Example Search phase Feature Functionality Interface Components Query construction Free text input keyword(s) natural language Single text entry Property-specific fields Operators boolean operators special purpose operators regular expressions Application-specific syntax Controlled terms Disambiguate input Restrict output Select predefined queries User feedback Suggestion list Semantic autocompletion Search algorithm Syntactic matching Exact, prefix, substring match Stemming Text Map

HCLSIG/LODD/Data LODD-related datasets that the LODD group already made available as Linked Data A graph of some of the LODD datasets (dark grey), related biomedical datasets (light grey), related general-purpose datasets (white) and their interconnections. Line weights correspond to the number of links. The LODD datasets have been crawled by the SWSE Semantic Web search engine and can be accessed via a faceted browsing interface at [1] (Example query: Varenicline). Most of the LODD datasets have also been integrated into the SPARQL endpoint of the HCLS Knowledge Base, see the wiki page of the HCLS KB for further information. Bio2RDF Data Sets The Bio2RDF project has published 40 biology-, gene- and medical-related datasets (altogether 2.3 billion triples). Chem2bio2RDF Information about the chem2bio2rdf data sets Data Sets for the LODD Task To complement the drug-related Web of Data build by the LODD effort, the following data sets could/should also be published as Linked Data. TCMGeneDIT dataset