Resource Discovery – Issues for the UWA Library
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1 Public Records Resources Online
Public Records Resources Online How to Find Everything There Is to Know About "Mr./Ms. X" *Please see disclaimer at end of document* Summary of public records on Mr. / Ms. X . Starting with one or more Background Reports from the sources below can help provide an overview of where the person has lived and worked, as well as other pertinent information for searching, such as middle name or initial. They might also contain adverse filings and licensing information that you can later verify in other sources. Examples of vendors that provide background reports (for a fee): Westlaw/CLEAR (Thomson Reuters) $ Lexis/Accurint $ TLO $ His/her social security number is . These tools can help verify if an SSN is valid and related to a living person. SSN Validator Selective Service Online Verification He/she was born / died / naturalized . In addition to the Summary Reports in the first section of this guide, official death records may be found in resources on the federal, state, and local levels. The Genealogy Resources section of this guide might have other helpful resources for death records. Social Security Death Records The official federal record is the Social Security Death Index (SSDI). Only the subscription databases, such as Lexis, Westlaw, and TLO (all $) will have the most recent SSDI records, due to privacy restrictions. Try variations of spellings, or using only the last name and birth or death year and location if you're not finding an SSDI record. Ancestry Library $ Genealogy Bank SSDI Research Guide SSDI Databases Online State and Local Death, Burial, and Cemetery Records State and local death records will often provide more detailed information than an SSDI record, but they are not as easy to find. -
A Survey on Personalized User Search Goals Using Multi Search Algorithm
International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 3 Issue 7, July 2014 A SURVEY ON PERSONALIZED USER SEARCH GOALS USING MULTI SEARCH ALGORITHM M.SENTHAMARAI SELVI1 A.MARIMUTHU2 Research scholar, Department of computer science, Government Arts college,Coimbatore1 Associate Professor,Department of computer science,Government Arts college,Coimbatore2 Abstract- Every user has their own background conceivable that many users dislike the and a specific goal when searching of inconvenience of adapting to a new engine, may information on the web. A common problem of be unaware how to change the default settings in current web search is user search queries are their Web browser to point to a particular short and ambiguous and insufficient way to engine, or may even be unaware of other Web specify user needs exactly. Current web search search engines that exist and may provide better engine typically provide search result without service. Performance differences between Web considering user interest and context, we search engines may be attributable to ranking introduce an effective approach that captures algorithms and index size, among other factors. the user’s conceptual preferences in order to It is well understood in the Information Retrieval provide personalized query suggestions. In (IR) community that different search systems this work first we are integrating the concept perform well for some queries and poorly for of personalization and multi search to make the others [1,2], which suggests that excessive refined results more effective. Based on loyalty to a single engine may actually hinder personalized data we extracting user’s previous searchers. -
D2.1 State of the Art on Multimedia Search Engines
Chorus D2.1 D2.1 State of the Art on Multimedia Search Engines Deliverable Type * : : PU Nature of Deliverable ** : R Version : Released Created : 23-11-2007 Contributing Workpackages : WP2 Editor : Nozha Boujemaa Contributors/Author(s) : Nozha Boujemaa, Ramon Compano, Christoph Doch, Joost Geurts, Yiannis Kampatsiaris, Jussi Karlgren, Paul King, Joachim Koehler, Jean-Yves Le Moine, Robert Ortgies, Jean-Charles Point, Boris Rotenberg, Asa Rudstrom, Nicu Sebe. * Deliverable type: PU = Public, RE = Restricted to a group of the specified Consortium, PP = Restricted to other program participants (including Commission Services), CO= Confidential, only for members of the CHORUS Consortium (including the Commission Services) ** Nature of Deliverable : P= Prototype, R= Report, S= Specification, T= Tool, O = Other. Version : Preliminary, Draft 1, Draft 2,…, Released Abstract: Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize -
Life Science Journal 2013;10(9S) 284
Life Science Journal 2013;10(9s) http://www.lifesciencesite.com Semantic Based Multiple Search Engine with Anti Phishing Technique Dr. S. Latha Shanmugavadivu 1, Dr. M. Rajaram 2 1. Department of ECE, Tamilnadu College of Engineering, Coimbatore - 641656. 2. Department of Electrical Engineering, Government College of Technology, Coimbatore - 641013. [email protected] Abstract: Search engines are computer programs that travel the Web, gather the text of Web pages and make it possible to search for them. Search engines are rugged individualists and none of them index the same Web information, and none of them search the content in the same way. Search engines are the wonder of the Internet. The main purpose of this approach is to develop a search engine based on ontology matching within the Semantic Web. In order to make the Semantic Web work, well-structured data and rules are necessary for agents to roam the Web. Extensible Markup Language (XML) and Resource Description Framework (RDF) are two important approaches used. Technically, in order to be called a Search Engine, a search tool must be made up of three major components the Interface an Index and Crawlers or Spiders. Multi- search enables the user to gather results from its own search index as well as from one or more search engines, metasearch engines, databases or any such kind of information retrieval programs. Multisearch is an emerging feature of automated search and information retrieval systems which combines the capabilities of computer search programs with results classification. The basic idea is reducing the amount of time required to search for resources by improvement of the accuracy and relevance of individual searches as well as the ability to manage the results. -
Transforming Sharepoint Into a Unified Information Access Platform How the BA Insight Software Portfolio Extends Sharepoint 2013
Transforming SharePoint into a Unified Information Access Platform How the BA Insight Software Portfolio Extends SharePoint 2013 BA Insight 2015 How BA Insight Turns SharePoint 2013 Into a Unified Information Access Platform Table of Contents The Need for Unified Information Access .............................................................................. 2 Search-Driven Applications and UIA ......................................................................................................... 2 Approaches to UIA Platforms .................................................................................................................... 3 Leveraging SharePoint .............................................................................................................................. 4 The BA Insight Software Portfolio .......................................................................................... 5 Going Beyond SharePoint 2013 OOB ....................................................................................................... 6 Connectivity Beyond OOB SharePoint ...................................................................................................... 6 MultiSearch: Beyond OOB SharePoint Federation ................................................................................... 7 Content Enrichment Beyond OOB SharePoint.......................................................................................... 8 User Experience Beyond OOB SharePoint .............................................................................................. -
Did You Know That DTIC
DTICDTIC ResourcesResources forfor DepositoriesDepositories Federal Depository Library Council Meeting and Conference 19 October 2010 www.dtic.mil DidDid youyou knowknow thatthat DTICDTIC Is older than the Department of Defense? Developed one of the world’s first online bibliographic databases? Fielded its first Web site in 1994, and has developed more than 100 Web sites for the Department of Defense and military services? Has a collection of more than 2 million technical reports? DTICDTIC MilestonesMilestones From the ashes of World War II… ASTIA DDC DTIC 1952 1963 1979 2004 DoD Field Activity (Defense Research & Engineering) DTIC Mission To provide essential, technical research, development, testing & evaluation (RDT&E) information rapidly, accurately and reliably to support our DoD customers’ needs DTIC Customers Engineers, scientists, Program managers, policy analysts, planners and Information specialists DTICDTIC InformationInformation ResourcesResources WhyWhy DTIC?DTIC? • Defense scientific & technical information collections – Collect – Organize – Disseminate • Chartered to support Defense and Federal Community What’sWhat’s inin DTICDTIC Collections?Collections? • Types of information – Public release – Controlled unclassified information (CUI) – Classified information • Controls – Public access/Unlimited – Registration required DTIC Online Three Levels of Access Public Controlled SIPRNet Site Access Site Site Public Products Site SIPR • DTIC Public Homepage • DTIC Online Access • Classified STINET • Public Technical Reports Controlled -
Distributed Multisearch and Resource Selection for the TREC Million Query Track
Distributed multisearch and resource selection for the TREC Million Query Track Chris Fallen and Greg Newby Arctic Region Supercomputing Center, University of Alaska Fairbanks, Fairbanks, AK 99775 Kylie McCormick Mount Holyoke College, South Hadley, MA 01075 Abstract A distributed information retrieval system with resource‐selection and result‐set merging capability was used to search subsets of the GOV2 document corpus for the 2008 TREC Million Query Track. The GOV2 collection was partitioned into host‐name subcollections and distributed to multiple remote machines. The Multisearch demonstration application restricted each search to a fraction of the available sub‐collections that was pre‐determined by a resource‐selection algorithm. Experiment results from topic‐by‐topic resource selection and aggregate topic resource selection are compared. The sensitivity of Multisearch retrieval performance to variations in the resource selection algorithm is discussed. 1. Overview regression merging strategy [7], modified for The information processing research group at efficiency, to merge results from a metasearch‐ ARSC works on problems affecting the style application that searched and merged results performance of distributed information retrieval from two indexed copies of the GOV2 corpus [8]. applications such as metasearch [1], federated One index was constructed with the Lucene search [2], and collection sampling [3]. An Toolkit and the other index was constructed with ongoing goal of this research is to guide the the Amberfish application [9]. For the 2006 TREC selection of standards and reference [10] TB Track [11], the GOV2 corpus was implementations for Grid Information Retrieval partitioned into approximately 17,000 collections (GIR) applications [4]. Prototype GIR applications by grouping documents with identical URL host developed at ARSC help to evaluate theoretical names [12].