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QuoteRef: kaplSJ7_1990

topics > all references > ThesaHelp: references i-l



ThesaHelp:
references i-l
ThesaHelp:
ACM references f-l
Topic:
Thesa data model
Topic:
information as facts
Topic:
personal information
Topic:
classification
Topic:
database as a model of reality
Topic:
multiple views for a user interface
Topic:
loosely structured data
Topic:
problems with writing hypertext
Topic:
hypertext links
Topic:
managing a Thesa database
Topic:
design for change
Topic:
database change management
Topic:
page formatting
Topic:
hierarchical structures
Topic:
critical regions
Topic:
taxonomy
Topic:
semistructured messages for automated processing
Topic:
database agents
Topic:
fundamental concepts such as type, attributes, relationships are all the same
Topic:
database keys and indexing
Topic:
information retrieval by topic
Topic:
problem of classifying information

Reference

Kaplan, S.J., Kapor, M.D., Belove, E.J., Landsman, R.A., Drake, T.R., "Agenda: A personal information manager", Communications of the ACM, 33, 7, pp. 105-116, July 1990. Google

Quotations
105 ;;Quote: an Agenda item is a single phrase or sentence that represents an idea, task, reminder, fact, etc.
106 ;;Quote: an Agenda item or category may have an attached note (additional text); accessible by pointing
106 ;;Quote: an Agenda category is an ordered list of items and notes that structure the database; e.g., 'Things to read', 'Errands'
106 ;;Quote: Agenda categories become the words of a language for describing information and its interrelationships
106 ;;Quote: an Agenda view is an assignment of items/notes to one of several categories
107 ;;Quote: structure arises out of the grouping of similar items and intergroup relationships; and not from hypertext links between items
107 ;;Quote: a personal information system must allow free format text, dynamically defined structure, and arbitrary report formats
108 ;;Quote: Agenda categories form a hierarchy; items implicitly assigned to their parents
108+;;Quote: if an Agenda category is exclusive, only one sub-category per item; mutual exclusion
108 ;;Quote: an Agenda view is constructed by arranging categories in rows and columns; selection, demarcation, and annotation
108+;;Quote: an Agenda view selects items; divides into section lists by category; annotates each item by categories
110 ;;Quote: Agenda can assign conditions for automatically adding items to a category
110+;;Quote: Agenda can define actions that execute when an item is added to a category
110+;;Quote: Agenda can tentatively assign an item to a category
111 ;;Quote: Agenda represents fields and values by categories
111+;;Quote: without a fixed field/value orientation, Agenda can present data in any format
111+;;Quote: an Agenda item acts like a unique key and a category corresponds to an indexed, non-key field
114 ;;Quote: Agenda items tend to be filed in only a few places; why filing cabinets work acceptably
115 ;;Quote: Agenda's categories forms a vocabulary for making assertions about items
115+;;Quote: assigning an item to a category makes an assertion about the item; e.g., that Smith will write the press release
115 ;;Quote: Agenda's program-initiated actions can cascade and surprise users who continually fine-tune their database
115+;;Quote: users find that Agenda improves personal organization and effectiveness


Related Topics up

ThesaHelp: references i-l (342 items)
ThesaHelp: ACM references f-l (241 items)
Topic: Thesa data model (58 items)
Topic: information as facts (21 items)
Topic: personal information (40 items)
Topic: classification (64 items)
Topic: database as a model of reality (25 items)
Topic: multiple views for a user interface (26 items)
Topic: loosely structured data (20 items)
Topic: problems with writing hypertext (12 items)
Topic: hypertext links (45 items)
Topic: managing a Thesa database (34 items)
Topic: design for change (75 items)
Topic: database change management (12 items)
Topic: page formatting (16 items)
Topic: hierarchical structures (43 items)
Topic: critical regions (58 items)
Topic: taxonomy (16 items)
Topic: semistructured messages for automated processing (22 items)
Topic: database agents (10 items)
Topic: fundamental concepts such as type, attributes, relationships are all the same (37 items)
Topic: database keys and indexing (18 items)
Topic: information retrieval by topic (16 items)
Topic: problem of classifying information (41 items)

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