Knowledge Graph oriented News Data Experiments – Experimental setting A Conceptual Knowledge Graph oriented News Data Experiments – Evaluation measures Experiments – Performance analysis of our extraction (including topic 1 to topic 5) from two datasets A Conceptual Knowledge Graph oriented News Data Experiments – Performance analysis of our extraction approach Table 1: Evaluation of precision, recall, and F-score on five independent document topics (including topic 6 to topic 10) from two datasets Experiments – Quality analysis of the conceptual knowledge graph A Conceptual Knowledge Graph oriented News

which records a start value, end value, and the change (start - end). We would like to find all experiments where the change was equal to a certain amount (Experiment.objects. filter(change__abs=27)), or Experiment.objects.filter(change__abs=27) will gener- ate the following SQL: SELECT ... WHERE ABS("experiments"."change") = 27 By using Transform instead of Lookup it means we are able to chain further lookups Experiment.objects.filter(change__abs__lt=27) will generate the following SQL: SELECT ... WHERE ABS("experiments"."change") < 27 Note that in case there is no other lookup specified, Django interprets change__abs=27

which records a start value, end value, and the change (start - end). We would like to find all experiments where the change was equal to a certain amount (Experiment.objects.filter(change__abs=27)), or Experiment.objects.filter(change__abs=27) will generate the following SQL: SELECT ... WHERE ABS("experiments"."change") = 27 By using Transform instead of Lookup it means we are able to chain further lookups Experiment.objects.filter(change__abs__lt=27) will generate the following SQL: SELECT ... WHERE ABS("experiments"."change") < 27 Note that in case there is no other lookup specified, Django interprets change__abs=27

which records a start value, end value, and the change (start - end). We would like to find all experiments where the change was equal to a certain amount (Experiment.objects.filter(change__abs=27)), or Experiment.objects.filter(change__abs=27) will generate the following SQL: SELECT ... WHERE ABS("experiments"."change") = 27 By using Transform instead of Lookup it means we are able to chain further lookups Experiment.objects.filter(change__abs__lt=27) will generate the following SQL: SELECT ... WHERE ABS("experiments"."change") < 27 Note that in case there is no other lookup specified, Django interprets change__abs=27

which records a start value, end value, and the change (start - end). We would like to find all experiments where the change was equal to a certain amount (Experiment.objects. filter(change__abs=27)), or Experiment.objects.filter(change__abs=27) will gener- ate the following SQL: SELECT ... WHERE ABS("experiments"."change") = 27 By using Transform instead of Lookup it means we are able to chain further lookups Experiment.objects.filter(change__abs__lt=27) will generate the following SQL: SELECT ... WHERE ABS("experiments"."change") < 27 Note that in case there is no other lookup specified, Django interprets change__abs=27

which records a start value, end value, and the change (start - end). We would like to find all experiments where the change was equal to a certain amount (Experiment.objects.filter(change__abs=27)), or Experiment.objects.filter(change__abs=27) will generate the following SQL: SELECT ... WHERE ABS("experiments"."change") = 27 By using Transform instead of Lookup it means we are able to chain further lookups Experiment.objects.filter(change__abs__lt=27) will generate the following SQL: SELECT ... WHERE ABS("experiments"."change") < 27 Note that in case there is no other lookup specified, Django interprets change__abs=27

which records a start value, end value, and the change (start - end). We would like to find all experiments where the change was equal to a certain amount (Experiment.objects. filter(change__abs=27)), or Experiment.objects.filter(change__abs=27) will gener- ate the following SQL: SELECT ... WHERE ABS("experiments"."change") = 27 By using Transform instead of Lookup it means we are able to chain further lookups Experiment.objects.filter(change__abs__lt=27) will generate the following SQL: SELECT ... WHERE ABS("experiments"."change") < 27 Note that in case there is no other lookup specified, Django interprets change__abs=27

which records a start value, end value, and the change (start - end). We would like to find all experiments where the change was equal to a certain amount (Experiment.objects.filter(change__abs=27)), or Experiment.objects.filter(change__abs=27) will generate the following SQL: SELECT ... WHERE ABS("experiments"."change") = 27 By using Transform instead of Lookup it means we are able to chain further lookups Experiment.objects.filter(change__abs__lt=27) will generate the following SQL: SELECT ... WHERE ABS("experiments"."change") < 27 Note that in case there is no other lookup specified, Django interprets change__abs=27

which records a start value, end value, and the change (start - end). We would like to find all experiments where the change was equal to a certain amount (Experiment.objects.filter(change__abs=27)), or Experiment.objects.filter(change__abs=27) will generate the following SQL: SELECT ... WHERE ABS("experiments"."change") = 27 By using Transform instead of Lookup it means we are able to chain further lookups Experiment. objects.filter(change__abs__lt=27) will generate the following SQL: SELECT ... WHERE ABS("experiments"."change") < 27 Note that in case there is no other lookup specified, Django interprets change__abs=27

which records a start value, end value, and the change (start - end). We would like to find all experiments where the change was equal to a certain amount (Experiment.objects.filter(change__abs=27)), or Experiment.objects.filter(change__abs=27) will generate the following SQL: SELECT ... WHERE ABS("experiments"."change") = 27 By using Transform instead of Lookup it means we are able to chain further lookups Experiment.objects.filter(change__abs__lt=27) will generate the following SQL: SELECT ... WHERE ABS("experiments"."change") < 27 Note that in case there is no other lookup specified, Django interprets change__abs=27