Posts Tagged ‘Indexing’
Searching Online for Recipes in Cookbooks You Own
A new website Eat Your Books helps members search for recipes in their own cookbooks. Eat Your Books is aimed at people who love using cookbooks, but desires the ease and convenience of searching online.
Read MoreMetaVis Wants To Keep Your Content Searchable
MetaVis Technologies, Inc., announced that its SharePoint migration, metadata management and classification products support Microsoft Office 365 migration. With the MetaVis Suite, users will be able to design a SharePoint information architecture for Office 356 that leverages metadata management and taxonomy structures to keep content organized and searchable.
Read MoreHuman and Automated Indexing Combine for Greater Results
Continental DataGraphics enables organizations to go digital with their documentation. Different engineering software formats and delivery platforms can be provided for the delivery of the scanned output. The company also employs Business Solutions Architects to work alongside clients to inspect each aspect of the document imaging and management process. This allows clients proper and easier data storage, retrieval and archiving.
Read MoreNew Scientific Research Source Available
OpenAIRE (Open Access Infrastructure for Research in Europe) was launched so researchers, businesses and citizens can have free and open access to EU-funded research papers.
Read MoreEBSCO Chosen by US Government Printing Office
The U.S. Government Printing Office (GPO) is making its metadata searchable through EBSCO Discovery Service (EDS). This leap into the metatagging realm will enable EDS subscribers to search for federal records from the GPO’s Catalog of U.S. Government Publications. This includes the Congressional Serial Set Catalog, GPO Access Publications, and Internet Publications.
Read MoreData Entry: The File Becomes a Reality
In previous columns, we have discussed many of the basics of preparing the data for a computerized file. We have stressed being sure that the editorial policy and individual rules are set consistently so that the data may be easily retrieved once it is entered into that big black box called the computer. The next and very important step is computerization of the data, or converting already-computerized data to match the specifications of the hardware and software system you are going to run your file on–an exciting but exacting task. The data can be made to match your machine by using photocomposition tapes, MARC tapes, floppies, hard disks, paper, forms, catalog cards, brochures, and any number of other information sources.
Read MoreGood Indexing Means Good Retrieval
by Marjorie M.K. Hlava First published in Information Today So far this column has covered design considerations for the building of a database. Editorial guidelines have been set forth. Fields have been discussed and quantified. The next steps involve the tagging or coding of the data in a uniform manner so it can be pulled…
Read MoreCross Language Retrieval – English / Russian / French
Marjorie M.K. Hlava, President, Access Innovations, Inc. Dr. Gerold Belonogov, Professor and Head of Department, VINITI, Moscow, Russia Dr. Boris Kuznetsov, Head of Department, VINITI, Moscow, Russia Richard Hainebach, Director, EPMS bv-Ellis Publications, The Netherlands Note: This Working Paper was presented at the 1997 American Association for Artificial Intelligence Spring Symposium Series, March 24 –…
Read MoreSaving Time and Money with a Rule Based Approach to Automatic Indexing
Getting a Higher Return on Your Investment by Marjorie M.K. Hlava, President, Access Innovations, Inc. There are two major types of automatic categorization systems. These two types of systems are known by many different names. However, the information science theory behind them boils down to two major schools of thought: rule based and statistics based.…
Read MoreAutomatic Indexing: A Matter of Degree
by Marjorie M.K. Hlava October 2002 First published in the Bulletin of the American Society for Information Science and Technology, Vol. 29 No. 1, October/November 2002. Table of Contents Definitions What Systems Are There? How Should They Be Applied? What Are the Strengths and Weaknesses? How Do We Know If They Really Work? How Expensive…
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