Posts by Melody Smith
Saving 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…
Read MoreThe Notation Module in Thesaurus Design: An innovative view of Thesaurus Hierarchies
by Scott Denning Traditional thesaurus design has necessarily been a matter of alphabetization of the terms. While different views – permuted, hierarchical, rotated – offer different insights into the relationships of the terms in the thesaurus, the structure within these views is still ultimately alphabetical. Though alphabetization is at the core of organization in language,…
Read MoreHowlers: New Automation and Human Models Challenge Traditional Indexing
by John Blossom reprinted from www.shore.com/commentary The National Federation of Abstracting and Information Services (NFAIS) is an interesting collection of institutions and publishers joining to tackle issues in aggregating content through indexing, abstracts and leading content technologies. While there are certainly a good number of indexing experts in this set there are also many executives…
Read MoreThe Search for Machine-Aided Indexing: Why a Rule-Based System is the Cost-Effective Choice
by Larry Compton Executive summary Data Harmony is one of several companies that offer machine-aided indexing software solutions to indexing and categorizing unstructured data. Data Harmony’s Machine Aided Indexer™ is a rule-based system, whereas most of our competitors use methods that are a combination of linguistic or statistical approaches to indexing data. Many of our…
Read MoreAutomatic Indexing Return on Investment (ROI)
A Case Study Comparison of Rule Base and Statistical Approaches by Marjorie M.K. Hlava There is a lot of confusion in the marketplace. Word is out that rule bases take a lot of up front investment. Concurrence systems advertise a purely programmatic solution and appeal to many IT professionals. What is the real up front…
Read MoreFacets Help Move from Search to Found
by Alice Redmond-Neal, Chief Taxonomist, Access Innovations, Inc. In the “everything old is new again” department, facets are all the rage in the taxonomy world! What are facets, where did they come from, and how do they relate to familiar taxonomies and other search support strategies? What are facets? Facets are terms that describe some…
Read MoreClassified Homeland Security: Transforming Data into Information
by Jay Ven Eman, Ph.D., CEO, Access Innovations, Inc. Originally published in Intelligence & Warning America Table of Contents Velocity, Volume, and Variety Taxonomic Control BUYIN – GET IT Taxonomic Strategy Taxonomy – Build It Taxonomy – Deploy It Maintenance and Training – Keep It Up Search and Find You’ve just read the title and…
Read MoreBridging the Great Indexing Divide
by Alice Redmond-Neal Reprinted from Key Words, the bulletin of the American Society for Indexing I’ve been indexing for over a decade, but when I attended the ASI Annual Meeting 2008 in Denver, I was a stranger in a strange land. Being surrounded by indexers was intriguing yet confounding. You see, I come from the…
Read MoreAutomatic Indexing: How Two Approaches Compare
Understanding “Rule Based” vs. “Statistics Based” Indexing Systems by Marjorie M.K. Hlava reprinted from Information Outlook with permission It’s never been more fascinating—or more challenging—to be an information professional. Surveys show that corporate librarians have more information to manage, and less staff to help manage it, than ever before. Not only is the universe of…
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