Error Rate

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-18.)

Error Rate has 70 facts recorded in Dontopedia across 21 references, with 9 live disagreements.

70 facts·29 predicates·21 sources·9 in dispute

Mostly:rdf:type(19), tracks(6), measures(4)

Rdf:typein dispute`rdf:type`

Performance Metric^[1]all time · 491d5638 8000 453a A411 F92ebaf485c8
Concept^[2]sourceall time · 8835b74d 347b 4633 B488 575c936a0be1
Search Metric^[3]all time · 405f3819 989a 4954 B233 67eea40ab075
Metric Type^[4]all time · 8c231ff3 B399 40cc A7e6 1d2662db14ff
Metric^[5]all time · Efe96544 250e 4398 9d06 C1de0cb235aa
Metric^[6]all time · F5dbd22c 5e45 4e0d 82c8 Ff4f046e61af
Performance Metric^[8]all time · 52a11a9a 9752 4a64 9784 773b1eec0316
Metric^[9]all time · F8068905 8522 4e7a 9746 Bbad05dbfbde
Metric^[10]sourceall time · 0607b6b4 Fc74 4548 Bff7 000535e906c5
Performance Metric^[11]all time · Ed46774e 605a 4c5e Af74 736da6cd3a7a

Inbound mentions (51)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

`hasMember`Has Member(6)

Example Metricsex:example-metrics
Metric Relationsex:metric-relations
Metricsex:metrics
Metricsex:metrics
Metrics Listex:metrics-list
Search Engine Metricsex:search-engine-metrics

`hasMetric`Has Metric(4)

Api Endpointex:api-endpoint
Reliability During Peak Timesex:reliability-during-peak-times
Search Engineex:search-engine
Systemex:system

`calculates`Calculates(3)

Analytics Systemex:analytics-system
Calculate Performanceex:calculate_performance
Python Code 1ex:python-code-1

`computes`Computes(2)

Code Block 1ex:code-block-1
Code Block 2ex:code-block-2

`contains`Contains(2)

Example Metricsex:example-metrics
Metrics Listex:metrics-list

`targetMetric`Target Metric(2)

Logging Stagesex:logging-stages
Query Rewriting Rulesex:query-rewriting-rules

`affects`Affects(1)

Accuracy Metricex:accuracy-metric

`alsoCalculates`Also Calculates(1)

Code Block 2ex:code-block-2

`assessedBy`Assessed by(1)

Documentation Qualityex:documentation-quality

`basedOn`Based on(1)

Correction Rulesex:correction-rules

`basedOnMetric`Based on Metric(1)

Correction Rulesex:correction-rules

`calculatedTogetherWith`Calculated Together With(1)

Average Query Timeex:average-query-time

`calculatesMetric`Calculates Metric(1)

Analytics Systemex:analytics-system

`computesErrorRate`Computes Error Rate(1)

Python Code 1ex:python-code-1

`consists-of`Consists of(1)

Documentation Evaluation Frameworkex:documentation-evaluation-framework

`containsEntity`Contains Entity(1)

Metrics Sectionex:metrics-section

`containsMember`Contains Member(1)

Documentation Metricsex:documentation-metrics

`definesVariable`Defines Variable(1)

Code Block 1ex:code-block-1

`derivedFrom`Derived From(1)

Error Scoreex:error-score

`employsMetric`Employs Metric(1)

Documentation Evaluationex:documentation-evaluation

`ex:measures`Ex:measures(1)

High Error Rates Alertex:high-error-rates-alert

`formats`Formats(1)

Percentage Formatex:percentage-format

`hasConcern`Has Concern(1)

Userex:user

`hasExampleMetric`Has Example Metric(1)

Reliability During Peak Timesex:reliability-during-peak-times

`hasSubtype`Has Subtype(1)

Performance Metricex:performance-metric

`hasVariable`Has Variable(1)

Python Scriptex:python-script

`helpsReduce`Helps Reduce(1)

Logging Moduleex:logging-module

`includesVariable`Includes Variable(1)

Formatted Outputex:formatted-output

`is-evaluated-by`Is Evaluated by(1)

Documentation Updatesex:documentation-updates

`measures`Measures(1)

Analyze Performance Methodex:analyze-performance-method

`metric`Metric(1)

Error Rates Monitoringex:error-rates-monitoring

`outputs`Outputs(1)

Print Statementex:print-statement

`returnsOnSuccess`Returns on Success(1)

Calculate Performanceex:calculate-performance

`secondPrint`Second Print(1)

Code Block 2ex:code-block-2

`selects`Selects(1)

Example Metrics Selectionex:example-metrics-selection

`stores`Stores(1)

Error Rateex:error_rate

`usesMetric`Uses Metric(1)

Documentation Improvementex:documentation-improvement

`usesVariable`Uses Variable(1)

Code Block 2ex:code-block-2

Other facts (41)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

41 facts

Predicate	Value	Ref
Tracks	Retrieval Process Errors	[3]
Tracks	Retrieval Process Failures	[3]
Tracks	Before and After	[16]
Tracks	Error Rate Before Updates	[17]
Tracks	Error Rate After Updates	[17]
Tracks	Reduction in Error Rate	[17]
Measures	System	[5]
Measures	Error Rate Before and After Updates	[16]
Measures	Accuracy Metric	[17]
Measures	Reformulation Accuracy	[19]
Appears in	Metrics List	[5]
Appears in	Example Metrics	[5]
Calculation Method	mean-of-error-column	[12]
Calculation Method	Mean Difference	[19]
Computed From	Pandas Dataframe	[15]
Computed From	Reformulated Queries	[20]
Calculated in	Code Block 1	[20]
Calculated in	Code Block 2	[20]
Computed in	Code Block 1	[20]
Computed in	Code Block 2	[20]
Is Defined As	Track the rate of errors or failures during the retrieval process	[3]
Ensures	Reliability	[3]
Defined As	The frequency of errors or failures during peak times	[5]
Measured During	Peak Times	[5]
Is Measured by	System	[5]
List Position	4	[5]
Measured As	fraction of failed requests	[6]
Input to	Error Score	[6]
Source of	Error Score	[6]
Computed by	Calculate Error Rate Function	[7]
Has Conditional Calculation	Error Field Check	[14]
Calculated Together With	Average Query Time	[15]
Metric Type	Performance Metric	[15]
Purpose	Reduce Mistakes	[16]
Inverse	Error Rate Before and After Updates	[16]
Evaluates	Documentation Accuracy	[16]
Is Part of	Documentation Evaluation Framework	[17]
Is Metric for	Data Quality	[18]
Calculated From	Reformulated Queries	[19]
Calculation	mean of NA values	[20]
Display Format	percentage	[20]

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

70 undated

—

typebeam/491d5638-8000-453a-a411-f92ebaf485c8

ex:PerformanceMetric

—

typebeam/8835b74d-347b-4633-b488-575c936a0be1

ex:Concept

—

typebeam/405f3819-989a-4954-b233-67eea40ab075

ex:SearchMetric

—

labelbeam/405f3819-989a-4954-b233-67eea40ab075

Error Rate

—

isDefinedAsbeam/405f3819-989a-4954-b233-67eea40ab075

Track the rate of errors or failures during the retrieval process

—

ensuresbeam/405f3819-989a-4954-b233-67eea40ab075

ex:reliability

—

tracksbeam/405f3819-989a-4954-b233-67eea40ab075

ex:retrieval-process-errors

—

tracksbeam/405f3819-989a-4954-b233-67eea40ab075

ex:retrieval-process-failures

—

typebeam/8c231ff3-b399-40cc-a7e6-1d2662db14ff

ex:MetricType

—

labelbeam/8c231ff3-b399-40cc-a7e6-1d2662db14ff

Error Rate

—

typebeam/efe96544-250e-4398-9d06-c1de0cb235aa

ex:Metric

—

definedAsbeam/efe96544-250e-4398-9d06-c1de0cb235aa

The frequency of errors or failures during peak times

—

measuredDuringbeam/efe96544-250e-4398-9d06-c1de0cb235aa

ex:peak-times

—

measuresbeam/efe96544-250e-4398-9d06-c1de0cb235aa

ex:system

—

isMeasuredBybeam/efe96544-250e-4398-9d06-c1de0cb235aa

ex:system

—

listPositionbeam/efe96544-250e-4398-9d06-c1de0cb235aa

—

appearsInbeam/efe96544-250e-4398-9d06-c1de0cb235aa

ex:metrics-list

—

appearsInbeam/efe96544-250e-4398-9d06-c1de0cb235aa

ex:example-metrics

—

typebeam/f5dbd22c-5e45-4e0d-82c8-ff4f046e61af

ex:Metric

—

labelbeam/f5dbd22c-5e45-4e0d-82c8-ff4f046e61af

Error Rate

—

measuredAsbeam/f5dbd22c-5e45-4e0d-82c8-ff4f046e61af

fraction of failed requests

—

inputTobeam/f5dbd22c-5e45-4e0d-82c8-ff4f046e61af

ex:error-score

—

sourceOfbeam/f5dbd22c-5e45-4e0d-82c8-ff4f046e61af

ex:error-score

—

computedBybeam/700b0852-a464-4dbb-b8ee-7c7b24e3b840

ex:calculate-error-rate-function

—

typebeam/52a11a9a-9752-4a64-9784-773b1eec0316

ex:PerformanceMetric

—

typebeam/f8068905-8522-4e7a-9746-bbad05dbfbde

ex:Metric

—

labelbeam/f8068905-8522-4e7a-9746-bbad05dbfbde

Error Rate

—

typebeam/0607b6b4-fc74-4548-bff7-000535e906c5

ex:Metric

—

typebeam/ed46774e-605a-4c5e-af74-736da6cd3a7a

ex:PerformanceMetric

—

calculationMethodbeam/030958ff-4542-4c75-87d6-fc94dc83547f

mean-of-error-column

—

typebeam/2a60160e-1c6e-44ba-85fc-7743ec2eb648

ex:PerformanceMetric

—

hasConditionalCalculationbeam/9f3ab13a-ab1c-4e51-b8ff-797c5a78185d

ex:error-field-check

—

typebeam/2e2a7cbd-d7cd-407e-ba32-8f860f8fc2ec

ex:PerformanceMetric

—

labelbeam/2e2a7cbd-d7cd-407e-ba32-8f860f8fc2ec

error rate

—

calculatedTogetherWithbeam/2e2a7cbd-d7cd-407e-ba32-8f860f8fc2ec

ex:average-query-time

—

metricTypebeam/2e2a7cbd-d7cd-407e-ba32-8f860f8fc2ec

ex:performance-metric

—

computedFrombeam/2e2a7cbd-d7cd-407e-ba32-8f860f8fc2ec

ex:pandas-dataframe

—

typebeam/64791015-a748-4718-a295-2720a272f276

ex:Metric

—

labelbeam/64791015-a748-4718-a295-2720a272f276

Error Rate

—

measuresbeam/64791015-a748-4718-a295-2720a272f276

ex:error-rate-before-and-after-updates

—

purposebeam/64791015-a748-4718-a295-2720a272f276

ex:reduce-mistakes

—

tracksbeam/64791015-a748-4718-a295-2720a272f276

ex:before-and-after

—

inversebeam/64791015-a748-4718-a295-2720a272f276

ex:error-rate-before-and-after-updates

—

evaluatesbeam/64791015-a748-4718-a295-2720a272f276

ex:documentation-accuracy

—

typebeam/13bf8bcd-ceef-4ed0-b38d-0e3be517efa9

ex:Metric

—

labelbeam/13bf8bcd-ceef-4ed0-b38d-0e3be517efa9

Error Rate

—

tracksbeam/13bf8bcd-ceef-4ed0-b38d-0e3be517efa9

ex:error-rate-before-updates

—

tracksbeam/13bf8bcd-ceef-4ed0-b38d-0e3be517efa9

ex:error-rate-after-updates

—

tracksbeam/13bf8bcd-ceef-4ed0-b38d-0e3be517efa9

ex:reduction-in-error-rate

—

is-part-ofbeam/13bf8bcd-ceef-4ed0-b38d-0e3be517efa9

ex:documentation-evaluation-framework

—

measuresbeam/13bf8bcd-ceef-4ed0-b38d-0e3be517efa9

ex:accuracy-metric

—

typebeam/8306bfb3-6a5a-4c08-af95-beedf5594089

ex:DataMetric

—

labelbeam/8306bfb3-6a5a-4c08-af95-beedf5594089

error rate

—

isMetricForbeam/8306bfb3-6a5a-4c08-af95-beedf5594089

ex:data-quality

—

calculationMethodbeam/e9a6679e-2dcb-4c8d-8d2a-de7e4c390144

ex:mean-difference

—

typebeam/e9a6679e-2dcb-4c8d-8d2a-de7e4c390144

ex:Metric

—

labelbeam/e9a6679e-2dcb-4c8d-8d2a-de7e4c390144

Reformulation Error Rate

—

calculatedFrombeam/e9a6679e-2dcb-4c8d-8d2a-de7e4c390144

ex:reformulated-queries

—

typebeam/e9a6679e-2dcb-4c8d-8d2a-de7e4c390144

ex:FloatValue

—

labelbeam/e9a6679e-2dcb-4c8d-8d2a-de7e4c390144

Error Rate Value

—

measuresbeam/e9a6679e-2dcb-4c8d-8d2a-de7e4c390144

ex:reformulation-accuracy

—

typebeam/aedb6d8a-8822-4467-a7a5-cfff18551c49

ex:Metric

—

calculationbeam/aedb6d8a-8822-4467-a7a5-cfff18551c49

mean of NA values

—

displayFormatbeam/aedb6d8a-8822-4467-a7a5-cfff18551c49

percentage

—

calculatedInbeam/aedb6d8a-8822-4467-a7a5-cfff18551c49

ex:code-block-1

—

calculatedInbeam/aedb6d8a-8822-4467-a7a5-cfff18551c49

ex:code-block-2

—

computedFrombeam/aedb6d8a-8822-4467-a7a5-cfff18551c49

ex:reformulated-queries

—

computedInbeam/aedb6d8a-8822-4467-a7a5-cfff18551c49

ex:code-block-1

—

computedInbeam/aedb6d8a-8822-4467-a7a5-cfff18551c49

ex:code-block-2

—

typelme/58d34da2-c5c2-4c61-b093-2b1a9cd8298b

ex:OperationalMetric

References (21)

21 references

[1]491d5638 8000 453a A411 F92ebaf485c81 fact
ctx:claims/beam/491d5638-8000-453a-a411-f92ebaf485c8
- full textbeam-chunk
  text/plain1 KBdoc:beam/491d5638-8000-453a-a411-f92ebaf485c8
  Show excerpt
  - **High Database Load**: Alert when database load exceeds a threshold. ### . **Application Performance Alerts** - **High Application Load**: Alert when application load exceeds a threshold. - **Slow Application Response**: Alert when appl…
[2]8835b74d 347b 4633 B488 575c936a0be11 fact
ctx:claims/beam/8835b74d-347b-4633-b488-575c936a0be1
- full textbeam-chunk
  text/plain1 KBdoc:beam/8835b74d-347b-4633-b488-575c936a0be1
  Show excerpt
  This report provides an update on key performance indicators (KPIs) for the RAG system, highlighting metrics that are crucial for achieving our business goals. The report covers the current status, targets, and impacts on users. ## Metrics…
[3]405f3819 989a 4954 B233 67eea40ab0756 facts
ctx:claims/beam/405f3819-989a-4954-b233-67eea40ab075
[4]8c231ff3 B399 40cc A7e6 1d2662db14ff2 facts
ctx:claims/beam/8c231ff3-b399-40cc-a7e6-1d2662db14ff
[5]Efe96544 250e 4398 9d06 C1de0cb235aa8 facts
ctx:claims/beam/efe96544-250e-4398-9d06-c1de0cb235aa
- full textbeam-chunk
  text/plain1 KBdoc:beam/efe96544-250e-4398-9d06-c1de0cb235aa
  Show excerpt
  2. **Mean Time Between Failures (MTBF)**: The average time between system failures. 3. **Mean Time to Recovery (MTTR)**: The average time it takes to recover from a failure. 4. **Error Rate**: The frequency of errors or failures during peak…
[6]F5dbd22c 5e45 4e0d 82c8 Ff4f046e61af5 facts
ctx:claims/beam/f5dbd22c-5e45-4e0d-82c8-ff4f046e61af
[7]700b0852 A464 4dbb B8ee 7c7b24e3b8401 fact
ctx:claims/beam/700b0852-a464-4dbb-b8ee-7c7b24e3b840
- full textbeam-chunk
  text/plain1 KBdoc:beam/700b0852-a464-4dbb-b8ee-7c7b24e3b840
  Show excerpt
  Improve code quality through code reviews, static analysis, and comprehensive testing (unit tests, integration tests, and end-to-end tests). ### 7. **Monitoring and Alerting** Set up monitoring and alerting to proactively detect and addres…
[8]52a11a9a 9752 4a64 9784 773b1eec03161 fact
ctx:claims/beam/52a11a9a-9752-4a64-9784-773b1eec0316
- full textbeam-chunk
  text/plain1 KBdoc:beam/52a11a9a-9752-4a64-9784-773b1eec0316
  Show excerpt
  By implementing these strategies, you can effectively manage the length of expanded queries and ensure they remain concise and relevant. Let me know if you need further assistance or have any specific concerns! [Turn 6906] User: I've been …
[9]F8068905 8522 4e7a 9746 Bbad05dbfbde2 facts
ctx:claims/beam/f8068905-8522-4e7a-9746-bbad05dbfbde
- full textbeam-chunk
  text/plain1 KBdoc:beam/f8068905-8522-4e7a-9746-bbad05dbfbde
  Show excerpt
  - Regularly review the codebase to identify and refactor complex or error-prone sections. - Simplify logic and improve readability to reduce the likelihood of bugs. ### Example Implementation Let's go through an example implementati…
[10]0607b6b4 Fc74 4548 Bff7 000535e906c51 fact
ctx:claims/beam/0607b6b4-fc74-4548-bff7-000535e906c5
- full textbeam-chunk
  text/plain1 KBdoc:beam/0607b6b4-fc74-4548-bff7-000535e906c5
  Show excerpt
  - **File Rotation**: Consider using `RotatingFileHandler` or `TimedRotatingFileHandler` to manage log file sizes and rotation. - **Performance Monitoring**: Implement monitoring to track the performance of your logging system and ensure it …
[11]Ed46774e 605a 4c5e Af74 736da6cd3a7a1 fact
ctx:claims/beam/ed46774e-605a-4c5e-af74-736da6cd3a7a
- full textbeam-chunk
  text/plain1 KBdoc:beam/ed46774e-605a-4c5e-af74-736da6cd3a7a
  Show excerpt
  [Turn 7827] Assistant: Certainly! To design a system that can handle 18,000 searches and provide insights into query performance, you'll need to consider both the logging mechanism and the analytics part. Here's a comprehensive approach to …
[12]030958ff 4542 4c75 87d6 Fc94dc83547f1 fact
ctx:claims/beam/030958ff-4542-4c75-87d6-fc94dc83547f
[13]2a60160e 1c6e 44ba 85fc 7743ec2eb6481 fact
ctx:claims/beam/2a60160e-1c6e-44ba-85fc-7743ec2eb648
- full textbeam-chunk
  text/plain1 KBdoc:beam/2a60160e-1c6e-44ba-85fc-7743ec2eb648
  Show excerpt
  We'll define a function to log queries in a structured format and handle any potential errors. ### Step 4: Analyze the Logs We'll use Pandas to load and analyze the log data, calculating performance metrics such as average query time and …
[14]9f3ab13a Ab1c 4e51 B8ff 797c5a78185d1 fact
ctx:claims/beam/9f3ab13a-ab1c-4e51-b8ff-797c5a78185d
- full textbeam-chunk
  text/plain1 KBdoc:beam/9f3ab13a-ab1c-4e51-b8ff-797c5a78185d
  Show excerpt
  log_query(query, execution_time, user_id, user_id, query_params) time.sleep(0.01) # Simulate some delay # Signal the log processing thread to stop q.put(None) log_processor_thread.join() # Stop the queue listener when done queue_…
[15]2e2a7cbd D7cd 407e Ba32 8f860f8fc2ec5 facts
ctx:claims/beam/2e2a7cbd-d7cd-407e-ba32-8f860f8fc2ec
- full textbeam-chunk
  text/plain1 KBdoc:beam/2e2a7cbd-d7cd-407e-ba32-8f860f8fc2ec
  Show excerpt
  1. **Configure Structured Logging**: - Use `structlog` to configure structured logging with JSON rendering. - Set up the logger to handle debug-level messages. 2. **Asynchronous Logging**: - Use `QueueHandler` and `QueueListener` …
[16]64791015 A748 4718 A295 2720a272f2767 facts
ctx:claims/beam/64791015-a748-4718-a295-2720a272f276
- full textbeam-chunk
  text/plain1 KBdoc:beam/64791015-a748-4718-a295-2720a272f276
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  1. **Clarity Improvement Percentage**: This measures the percentage of steps that have seen an improvement in clarity. 2. **User Feedback**: Collect feedback from users to gauge their satisfaction and understanding of the documentation. 3. …
[17]13bf8bcd Ceef 4ed0 B38d 0e3be517efa97 facts
ctx:claims/beam/13bf8bcd-ceef-4ed0-b38d-0e3be517efa9
- full textbeam-chunk
  text/plain1 KBdoc:beam/13bf8bcd-ceef-4ed0-b38d-0e3be517efa9
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  1. **Clarity Improvement Percentage**: This metric calculates the number of steps with improved clarity and the percentage of steps that have seen an improvement. 2. **User Feedback**: This metric tracks positive and negative feedback from …
[18]8306bfb3 6a5a 4c08 Af95 Beedf55940893 facts
ctx:claims/beam/8306bfb3-6a5a-4c08-af95-beedf5594089
- full textbeam-chunk
  text/plain1 KBdoc:beam/8306bfb3-6a5a-4c08-af95-beedf5594089
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  ### Suggested Improvements 1. **Function Renaming**: - Rename `correction_logic` to `apply_correction_rules` for clarity. 2. **Error Handling**: - Add error handling to manage potential issues, such as missing columns or invalid dat…
[19]E9a6679e 2dcb 4c8d 8d2a De7e4c3901447 facts
ctx:claims/beam/e9a6679e-2dcb-4c8d-8d2a-de7e4c390144
- full textbeam-chunk
  text/plain1 KBdoc:beam/e9a6679e-2dcb-4c8d-8d2a-de7e4c390144
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  First, let's calculate the current error rate to establish a baseline. ```python import pandas as pd # Load the query data queries = pd.read_csv('queries.csv') # Define the reformulation function def reformulate_query(query): # Place…
[20]Aedb6d8a 8822 4467 A7a5 Cfff18551c498 facts
ctx:claims/beam/aedb6d8a-8822-4467-a7a5-cfff18551c49
- full textbeam-chunk
  text/plain1 KBdoc:beam/aedb6d8a-8822-4467-a7a5-cfff18551c49
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  Test the reformulation function with a subset of your queries to identify and fix specific issues. Gradually increase the test set size until you are confident in the performance. ```python import pandas as pd # Load the query data querie…
[21]58d34da2 C5c2 4c61 B093 2b1a9cd8298b1 fact
ctx:claims/lme/58d34da2-c5c2-4c61-b093-2b1a9cd8298b
- full textbeam-chunk
  text/plain17 KBdoc:beam/58d34da2-c5c2-4c61-b093-2b1a9cd8298b
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  [Session date: 2023/05/20 (Sat) 06:16] User: I'm looking for some help with data visualization tools. I recently participated in a case competition hosted by a consulting firm, where we had to analyze a business case and present our recomme…

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Error Rate

Rdf:typein disputerdf:type

Inbound mentions (51)

hasMemberHas Member(6)

hasMetricHas Metric(4)

calculatesCalculates(3)

computesComputes(2)

containsContains(2)

targetMetricTarget Metric(2)

affectsAffects(1)

alsoCalculatesAlso Calculates(1)

assessedByAssessed by(1)

basedOnBased on(1)

basedOnMetricBased on Metric(1)

calculatedTogetherWithCalculated Together With(1)

calculatesMetricCalculates Metric(1)

computesErrorRateComputes Error Rate(1)

consists-ofConsists of(1)

containsEntityContains Entity(1)

containsMemberContains Member(1)

definesVariableDefines Variable(1)

derivedFromDerived From(1)

employsMetricEmploys Metric(1)

ex:measuresEx:measures(1)

formatsFormats(1)

hasConcernHas Concern(1)

hasExampleMetricHas Example Metric(1)

hasSubtypeHas Subtype(1)

hasVariableHas Variable(1)

helpsReduceHelps Reduce(1)

includesVariableIncludes Variable(1)

is-evaluated-byIs Evaluated by(1)

measuresMeasures(1)

metricMetric(1)

outputsOutputs(1)

returnsOnSuccessReturns on Success(1)

secondPrintSecond Print(1)

selectsSelects(1)

storesStores(1)

usesMetricUses Metric(1)

usesVariableUses Variable(1)

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Rdf:typein dispute`rdf:type`

`hasMember`Has Member(6)

`hasMetric`Has Metric(4)

`calculates`Calculates(3)

`computes`Computes(2)

`contains`Contains(2)

`targetMetric`Target Metric(2)

`affects`Affects(1)

`alsoCalculates`Also Calculates(1)

`assessedBy`Assessed by(1)

`basedOn`Based on(1)

`basedOnMetric`Based on Metric(1)

`calculatedTogetherWith`Calculated Together With(1)

`calculatesMetric`Calculates Metric(1)

`computesErrorRate`Computes Error Rate(1)

`consists-of`Consists of(1)

`containsEntity`Contains Entity(1)

`containsMember`Contains Member(1)

`definesVariable`Defines Variable(1)

`derivedFrom`Derived From(1)

`employsMetric`Employs Metric(1)

`ex:measures`Ex:measures(1)

`formats`Formats(1)

`hasConcern`Has Concern(1)

`hasExampleMetric`Has Example Metric(1)

`hasSubtype`Has Subtype(1)

`hasVariable`Has Variable(1)

`helpsReduce`Helps Reduce(1)

`includesVariable`Includes Variable(1)

`is-evaluated-by`Is Evaluated by(1)

`measures`Measures(1)

`metric`Metric(1)

`outputs`Outputs(1)

`returnsOnSuccess`Returns on Success(1)

`secondPrint`Second Print(1)

`selects`Selects(1)

`stores`Stores(1)

`usesMetric`Uses Metric(1)

`usesVariable`Uses Variable(1)