1	Data Categories for Terminology Management Sue Ellen Wright Kent State University Institute of Applied Linguistics ©Sue Ellen Wright 2006
2	Packaging Data Model for visualizing information An amorphous flow of undifferentiated “stuff” An aggregate of individual elements (little packages, components) that can be identified, delimited, organized (modeled), stored, retrieved, manipulated, and reused Stuff people can figure out if they think about it Stuff a computer program can automatically recognize and process
3	The Shopping Basket Model A shopping basket is a container to put stuff in. The stuff in the basket can be tossed in loose without packaging. Stuff gets lost. Stuff gets mixed up.
4	Bulk Product Loading
5	Packaging Stuff Keeps products clean and uncontaminated Makes them easy to identify Makes them easy to store Makes them easy to reuse
6	Unpackaged Data
7	Organized Data
8	Nested Structures Termbases form nested structures Large structures Smaller structures Smaller structures Very small structures Analogy: Boxes inside of boxes Matryoshka dolls
9	Hierarchical Model of the Term Entry
10	Termbase Structures: Level 1 Top level: termbase = virtual files Actual file components: Master file History file Index Lok file
11	Termbase Structures: Level 2 Termbase files contain Terminological Entries (Term Entries) One concept All languages All terms All descriptive info All administrative info
12	Termbase Structures: Level 2 Other entry types Bibliographical entries Responsibility entries Other shared resources Thesaurus information Classification systems Info on external resources
13	Termbase Structures: Level 3 Term entries are hierarchical Term Entry Language group All the terms associated with a language Term info group (tig) All the info associated with a given term
14	Termbase Structures: Data Categories Big blue box: the termbase master file Holds everything else Smaller aqua box: the term entry: Holds data fields Data categories Data elements
15	Termbase Structures: Data Categories Smaller mauve box: the language set All term info groups for a given language Any info that pertains just to a given language Small green box: the term information group A single term All related information
16	Data-Element Related Features Data Modeling Variance Granularity Choice of level for a data element concept (field name/attribute) Data Element Autonomy Combinability and repeatability Elemental nature of data elements Shared Resources
17	Granularity The degree of detail that can be achieved by using the available data fields (data categories) to document terminological information Ex: Grammar vs. (low granularity) Part of speech (high granularity) Gender Number
18	Granularity Low level of granularity: Grammar: noun, masculine, singular High level of granularity: Part of speech: noun Gender: masculine Number: singular Advantage of granularity: retrievability Disadvantage: more work
19	Data Modeling Variance: Minimum Granularity
20	Data Modeling Variance: Increased Granularity
21	Data Modeling Variance: Elemental Nature of Data Elements (Violation)
22	Data Element Autonomy Term autonomy: each term has its own field Which is combinable with a full set of descriptive data categories Which are in turn repeatable throughout the term information group
23	Elemental Nature of Data Elements Only one kind of thing can occupy a data element e.g., no terms or synonyms listed as such in definition fields Only one of a thing can occupy a data element e.g., only one term in a term field
24	Data Modeling Variance Data Model I
25	Data Modeling Variance Term Autonomy
26	Data Modeling Variance II Term Autonomy
27	Data Model II Repeatability and Combinability
28	Data Model II Repeatability and Combinability
29	Shared Resources
30	Shared Resources Graphics Charts Audio Video Drawings Disk Archives Responsibility Records
31	Bibliographical Entries
32	Graphics File
33	Shared Graphics File
34	Shared Graphics File
35	Termbase Structures: Inside the Term Entry Terms Term autonomy All terms are created equal One term per term element Complete documentation of each term possible
36	Termbase Structures: Term Type Main entry term Synonym Abbreviation Full form Variant Phrase Collocation Boilerplate
37	Termbase Structures: Term-Related Info Term Part of speech Grammatical gender Grammatical number (use when necessary) Plural form Term type (Type) (see next slide) Status Regional label (not in our model) Pronunciation (not in our model) Register (usage register)
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41	Termbase Structures: Definition-Related Info Definition Source ID (Points to shared resources) Definition type Translation? Administrative info Responsibility Date
42	Termbase Structures: Context-Related Info Context Source ID (Points to shared resources) Context type Translation? Administrative info Responsibility Date
43	Termbase Structures: Other Data Categories Concept relations Notes Other administrative information Bibliographical information Special categories, e.g.: For standardization For inventory control
44	MultiTerm Levels Index Terms Term-like elements (collocations, boilerplate) Text Free-form data entry Attributes Controlled picklists Variant text
45	Matryoshka Dolls