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Controlled Vocabulary

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Controlled vocabularies provide a way to organize knowledge for subsequent retrieval, particularly in metadata. They are used in subject indexing schemes, subject headings, thesauri and taxonomies. Controlled vocabulary schemes mandate the use of predefined, authorised terms that have been preselected by the designer of the vocabulary.

 

1.
#30788

AECMA Simplified English   (PDF)

ASD-STE100 Simplified Technical English (formerly AECMA Simplified English) is a specification for writing aircraft documentation. The principles can be applied to all industry sectors. ASD-STE100 provides a set of writing rules and a dictionary of words and their meanings. It has a limited number of words; a limited number of clearly defined meanings for each word; a limited number of parts of speech for each word; a set of rules for writing text. This article outlines the standard, and shows how it helps to prevent ambiguity in text.

Unwalla, Mike. ISTC (2004). Articles>Writing>Minimalism>Controlled Vocabulary

2.
#23100

All About Facets & Controlled Vocabularies

The authors present a comprehensive overview of faceted classifications and controlled vocabularies.

Fast, Karl, Fred Leise and Mike Steckel. Boxes and Arrows (2002). Design>Web Design>Search>Controlled Vocabulary

3.
#25001

Better Search Engine Design: Beyond Algorithms

Search engine accuracy is important, but convenience may be more important than squeezing the last few ounces of performance out of your system. Peter Van Dijck demonstrates simple but effective query analysis, best bets, and controlled vocabularies -- tools to make your search engines more effective.

Van Dijck, Peter. O'Reilly and Associates (2004). Articles>Web Design>Search>Controlled Vocabulary

4.
#23072

Beyond Bookmarks: Schemes for Organizing the Web

A clearinghouse of web sites that have applied or adopted standard classification schemes or controlled vocabularies to organize or provide enhanced access to Internet resources.

McKiernan, Gerry. Iowa State University (2003). Resources>Directories>Information Design>Controlled Vocabulary

5.
#33333

Beyond Plain English

Plain English is good for increasing the quality of written documents. Unfortunately, it has limits in many technical situations. We need a special form of language, known as a controlled language, to overcome those limits. One particular controlled language is ASD Simplified Technical English.

Unwalla, Mike. TechScribe (2007). Articles>Writing>Minimalism>Controlled Vocabulary

6.
#38459

Consistency: Pick one. Stick with it.

Your readers will get confused if you aren’t consistent in the terminology you use in your documents. Does phrase A mean the same as phrase B? If the words are similar, but not quite the same, are they different things or the same thing? If your reader has to hesitate to figure it out, invariably that means that you’ve confused them. If the words mean the same thing, then you must use the same term for it throughout the document. And always use your organization’s official version of the term, if one exists.

CyberText Newsletter (2012). Articles>Writing>Usability>Controlled Vocabulary

7.
#38055

Consistent Terminology is Crucial

Having consistent terminology, and using that terminology consistently, is crucial. Terminology that isn’t consistent, and which isn’t used consistently, can cause more than just a little confusion. And documentation that doesn’t use that terminology consistently can cause more problems than it clears up. Not only with customers, but within your company and project as well.

Nesbitt, Scott. DMN Communications (2011). Articles>TC>Technical Writing>Controlled Vocabulary

8.
#23496

Controlled Language - Risks and Side Effects  (link broken)

Controlled Language (CL) is a controversial issue for linguists, editors, readers, but also for firms. Costs, marketing and sales figures are at stake. Why did I select 'risks and side effects', from the numerous problems involved, for my contribution? I am convinced that CL will be successful because positive / financial arguments prevail. Consequently, we will have to avail ourselves of CL, and identify and realize the risks involved and potential vicious side effects.

Janowski, Wladyslaw. TC-FORUM (1998). Articles>Language>Localization>Controlled Vocabulary

9.
#35678

Controlled Language – Does My Company Need It?  (link broken)

Controlled languages use basis writing rules to simplify sentence structure. Here is how they work and how your company can benefit from introducing a controlled language.

Muegge, Uwe. TC World (2009). Articles>Language>Style Guides>Controlled Vocabulary

10.
#23476

Controlled Language and Translation Memory Technology: A Perfect Match to Save Translation Cost  (link broken)

It goes without saying that controlled language makes it easier not only to understand a text, but also to translate it into another language, thereby reducing translation cost. This positive effect can be even more increased by the use of professional translation tools. By "translation tools", I do not mean machine translation systems such as Logos or Systran, but rather terminology database and translation memory applications. Typical examples of such tools are MultiTerm '95 Plus and Translator's Workbench.

Brockmann, Daniel. TC-FORUM (1997). Articles>Language>Localization>Controlled Vocabulary

11.
#33708

Controlled Language in Technical Writing   (members only)

The documentation used in manuals and other technical writing worldwide is predominantly created in English. Though much discussion has been devoted to it in academia and elsewhere for years, technical English continues to be written in a way that is difficult for many people to understand.

Braster, Berry. Multilingual (2009). Articles>Language>Technical Writing>Controlled Vocabulary

12.
#25310

Controlled Languages in Industry  (link broken)

A Controlled Language is a form of language with special restrictions on grammar, style, and vocabulary usage. Typically, the restrictions are placed on technical documents, including instructions, procedures, descriptions, reports, and cautions. One might consider formal written English to be the ultimate Controlled Language: a form of English with restricted word and grammar usages, but a standard too broad and too variable for use in highly technical domains. Whereas formal written English applies to society as a whole, CLs apply to the specialized sublanguages of particular domains.

Wojcik, Richard H. and James E. Hoard. Oregon Health and Science University (2005). Articles>Language>Technical Editing>Controlled Vocabulary

13.
#20897

Controlled Vocabularies: A Glosso-Thesaurus  (link broken)

'There is a singular lack of vocabulary control in the field of controlled vocabularies,' Bella Hass Weinberg, professor of library science at St. John's University in New York, is fond of saying. To help you cut through the maze of verbiage often found in this field, we have created a glossary of terms.

Fast, Karl, Fred Leise and Mike Steckel. Boxes and Arrows (2003). Articles>Information Design>Metadata>Controlled Vocabulary

14.
#27721

Controlled Vocabulary.com

A controlled vocabulary makes a database easier to search. Since we have many different ways of describing concepts, drawing all of these terms together under a single word or phrase in a database makes searching the database more efficient as it eliminates guess work. However, arriving at this efficiency requires consistency on the part of the individual indexing the database and the use of pre-determined terms.

ControlledVocabulary.com. Resources>Content Management>Metadata>Controlled Vocabulary

15.
#33189

Converting a Controlled Vocabulary Into an Ontology: The Case of GEM   (peer-reviewed)

The prevalance of digital information raised issues regarding the suitability of conventional library tools for organizing information. The multi-dimensionality of digital resources requires a more versatile and flexible representation to accommodate intelligent information representation and retrieval. Ontologies are used as a solution to such issues in many application domains, mainly due to their ability explicitly to specify the semantics and relations and to express them in a computer understandable language. Conventional knowledge organization tools such as classifications and thesauri resemble ontologies in a way that they define concepts and relationships in a systematic manner, but they are less expressive than ontologies when it comes to machine language. This paper used the controlled vocabulary at the Gateway to Educational Materials (GEM) as an example to address the issues in representing digital resources. The theoretical and methodological framework in this paper serves as the rationale and guideline for converting the GEM controlled vocabulary into an ontology. Compared to the original semantic model of GEM controlled vocabulary, the major difference between the two models lies in the values added through deeper semantics in describing digital objects, both conceptually and relationally.

Qin, Jian and Stephen Paling. Information Research (2001). Articles>Information Design>Metadata>Controlled Vocabulary

16.
#37476

The Cost and Effectiveness of Terminology Work  (link broken)

The subject of terminology work often causes controversial discussions within companies. Some look at it mainly from a cost and investment related angle, whereas for others terminology work is a definite must in order to achieve an improvement in quality and efficiency. To solve this conflict tekom conducted a cost and effectiveness study on terminology work. Amongst others the study contains sections on the theoretical base of terminology work, user experiences and case studies, indices for the cost effectiveness analyses, an overview of terminology management systems, terminology extraction and control as well as a description of the most important functions of software systems for terminology work. Furthermore, the study provides the results of an online survey on practical terminology work in companies.

Straub, Daniela and Klaus-Dirk Schmitz. TC World (2010). Articles>Language>Technical Writing>Controlled Vocabulary

17.
#21280

Creating a Controlled Vocabulary

You have probably heard information architects discussing the benefits of their latest taxonomy project and how you should be implementing one. But how, you might wonder, can you get started? In the next installment about Controlled Vocabularies, our authors go into detail about one methodology.

Fast, Karl, Fred Leise and Mike Steckel. Boxes and Arrows (2003). Design>Web Design>Metadata>Controlled Vocabulary

18.
#22394

Data Collection for Controlled Vocabulary Interoperability: Dublin Core Audience Element

This paper outlines the assumptions, process and results of a pilot study of issues of interoperability among a set of seven existing controlled vocabulary schemes that make statements about the audience of an educational resource.

Tennis, Joseph T. ASIST (2002). Articles>Information Design>Metadata>Controlled Vocabulary

19.
#23497

Different Types of Controlled Languages  (link broken)

There has been much discussion on the topic of Controlled Language (CL) in the past issues of TC-Forum. With several years of experience as a translator, as a trainer of Controlled English writing and translation post-editing, and as a developer of Machine Translation (MT) and Translation Memory (TM) systems, I would like to clarify some points that do not seem to have been presented in other articles. These points do not indicate all of the details of possible CL systems, but I hope that they open up the discussion to cover both past and recent developments in CL system and application research and development.

Allen, Jeff. TC-FORUM (1999). Articles>Language>Localization>Controlled Vocabulary

20.
#26357

The Direct Road   (members only)

Firms that export to the USA are faced with the challenge of having to deliver accompanying TD that meets the requirements of that country. This is true not only in legal or safety-relevant terms, but also in terms of the language used. Production and translation of multi-lingual documentation are part of an overall process. Even while creating the source text, the technical writer must keep in mind the translation into the target language. Unambiguous rendering, consistency in the terminology, wording that is appropriate for the target group and reader-friendliness are some of the highest criteria which would justify the use of a controlled language.

Féneyrol, Christian. tekom (2005). (German) Articles>Language>Localization>Controlled Vocabulary

21.
#26465

DTT: Deutscher Terminologie-Tag

Der DTT e.V. ist ein Forum für alle, die sich mit Terminologie und Terminologiearbeit beschäftigen. Er hat sich zum Ziel gesetzt, durch Beratung und Koordination sowie durch die Veranstaltung von Symposien und Workshops zur Lösung fachlicher Kommunikationsprobleme beizutragen.

DTT. (German) Organizations>Language>Linguistics>Controlled Vocabulary

22.
#33025

Folksonomies Plus Controlled Vocabularies

We need a word for the class of comparisons that assumes that the status quo is cost-free, so that all new work, when it can be shown to have disadvantages to the status quo, is also assumed to be inferior to the status quo.

Shirky, Clay. Corante (2005). Articles>Information Design>Metadata>Controlled Vocabulary

23.
#27831

Free Terminology Management: The Better Alternative?   (members only)

In projects like 'Wikipedia', collaborative work also necessitates a common language. This was one of the reasons why a 'Wiktionary' or a 'Wikiwoerterbuch' came into being. Thus, the open source community has already set out to develop ideas for the management of terminology and its implementation.

Herwartz, Rachel. tekom (2006). Articles>Writing>Glossary>Controlled Vocabulary

24.
#32320

Identifying Synonymous Concepts in Preparation for Technology Mining   (peer-reviewed)   (members only)

In this research, the development of a 'concept-clumping algorithm' designed to improve the clustering of technical concepts is demonstrated. The algorithm developed first identifies a list of technically relevant noun phrases from a cleaned extracted list and then applies a rule-based algorithm for identifying synonymous terms based on shared words in each term. An assessment of the algorithm found that the algorithm has an 89-91% precision rate, was successful in moving technically important terms higher in the term frequency list, and improved the technical specificity of term clusters.

Courseault Trumbach, Cherie. Journal of Information Science (2007). Articles>Knowledge Management>Metadata>Controlled Vocabulary

25.
#32325

Incremental Maintenance of Generalized Association Rules Under Taxonomy Evolution   (peer-reviewed)   (members only)

Mining association rules from large databases of business data is an important topic in data mining. In many applications, there are explicit or implicit taxonomies (hierarchies) for items, so it may be useful to find associations at levels of the taxonomy other than the primitive concept level. Previous work on the mining of generalized association rules, however, assumed that the taxonomy of items remained unchanged, disregarding the fact that the taxonomy might be updated as new transactions are added to the database over time. If this happens, effectively updating the generalized association rules to reflect the database change and related taxonomy evolution is a crucial task. In this paper, we examine this problem and propose two novel algorithms, called IDTE and IDTE2, which can incrementally update the generalized association rules when the taxonomy of items evolves as a result of new transactions. Empirical evaluations show that our algorithms can maintain their performance even for large numbers of incremental transactions and high degrees of taxonomy evolution, and are faster than applying contemporary generalized association mining algorithms to the whole updated database.

Tseng, Ming-Cheng, Wen-Yang Lin and Rong Jeng. Journal of Information Science (2008). Articles>Knowledge Management>Metadata>Controlled Vocabulary

 
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