[ { "path": "table_paper/2407.00064v1.json", "table_id": "1", "section": "4.4", "all_context": [ "The final step of our approach includes the verification of the solution model based on the constraints associated with the RM.", "This verification is performed on the RDF representations of the models.", "An aligned ontology is generated by merging the reference ontology and the solution.", "Using an RDFS reasoner, the knowledge resulting from the transitivity of the subclass relationship is inferred.", "This ensures that instances of a subclass are also instances of the superordinate classes.", "Finally, the constraints are verified.", "Therefore, the defined queries are executed on the merged ontology and the results are evaluated accordingly.", "The result is a listing of all conditions with their corresponding truth values and the retrieved values.", "For our RM, 11 queries were formulated.", "The queries and the requirements defined in Section 2 would be evaluated as shown in Table 1 .", "" ], "target_context_ids": [ 8, 9 ], "selected_paragraphs": [ "[paragraph id = 8] For our RM, 11 queries were formulated.", "[paragraph id = 9] The queries and the requirements defined in Section 2 would be evaluated as shown in Table 1 ." ], "table_html": "
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q1\n\nCOUNT: all cars\n\n1
q2\n\nCOUNT: cars with 4 wheels\n\n1
q3\n\nCOUNT: cars with 1 transmission gear\n\n1
q4\n\nASK: transmission is a manual and an automatic transmission\n\nfalse
q5\n\nASK: cars with less than one engine\n\nfalse
q6\n\nASK: cars with more than one combustion engine\n\nfalse
q7\n\nCOUNT: cars with at least one combustion engine\n\n1
q8\n\nCOUNT: cars with at least one electric engine\n\n1
q9\n\nCOUNT: cars with a combustion engine and a fuel tank\n\n1
q10\n\nCOUNT: cars with an electric engine and a battery\n\n0
q11\n\nCOUNT: cars with an electric engine and a automatic transmission\n\n0
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r1q1 = q2true
r2(q1 = q3) AND NOT q4true
r3NOT(q5 AND q6)true
r4(q7=q9) AND (q8=q10)false
r5q8=q11false
\n
\n
Table 1: Queries and constraints with results for the car example
\n
", "perturb_sentence_id": [ 8, 9 ], "output": { "perturbed_statement": "[paragraph id = 8] For our RM, 15 queries were formulated. The queries and the requirements defined in Section 2 would be evaluated as shown in Table 1.", "perturbed_explanation": "Original Explanation: Table 1 contains the evaluation of 11 queries formulated for our RM, as well as the requirements defined in Section 2. \n2. The statement incorrectly mentions that 15 queries were formulated, whereas the correct number of queries is 11. This error misrepresents the quantity of queries being evaluated in Table 1." } }, { "path": "table_paper/2407.00064v1.json", "table_id": "1", "section": "5", "all_context": [ "For the validation of our concept we designed a prototype as a standalone application in C#, called Reference Modeling Assistant (RMA).", "Figure 6 shows an overview of the different RM.", "Besides the name and the description, it is possible to assign tags to the models in order to facilitate the search for suitable models [1 ].", "Thereby, a RM can implement other RMs.", "Thus, a multiple inheritance can be realized, whereby the constraints are taken over.", "For example, a RM can exist for the general modeling of vehicles and other models that are specifically designed for the development of electric or combustion vehicles.", "The general constraints then apply to both models.", "With RMA it is possible to create simple ontologies using dotNETRDF555https://www.dotnetrdf.org, an open source .NET library for working with RDF triples.", "An import of existing rdf or owl files is possible as well.", "Once the RM have been constructed, a solution model can be created on their basis or an existing model can be validated against them.", "Figure 7 shows the Solution Builder.", "On the left side it displays the taxonomy with the classes of the RM and below the related instances.", "The other two tabs give a choice for the available relations and attributes.", "The middle column shows the created solution model, as we already know it from Figure 5 .", "Depending on which tab is selected, the respective items can be added, removed and edited.", "On the right side the constraints of the RM are shown.", "These are validated directly when the solution is changed.", "We see the queries listed in Table 1 with their results and the constraints constructed from them.", "The tree view shows the nesting of the logical statements.", "A constrained is fulfilled when its upper node is displayed in green.", "Unfulfilled constraints (4 and 5) are shown in red and queries which only returned values are shown in grey.", "On the upper level, this representation allows a quick check of the extent to which a solution conforms to the constraints of a RM.", "On the lower levels, the details of a query can be analyzed and appropriate corrections can be made to the model.", "The result can be exported from the RMA as RDF file.", "Afterwards, the content can be integrated into the individual modeling environment via transformation.", "To demonstrate this step, we have developed an Add-In for the modeling tool Sparx Enterprise Architect (EA).", "This allows the conversion of EA models as shown in Figure 1 and 5 to RDF models and vice versa.", "With the representation of the RM as an ontology a cross-language provision of a semantically enriched vocabulary is achieved.", "The concepts and instances described within can be used to generate multiple solution models across different modeling languages.", "It has been observed that the form of the constraints is strongly coupled to the modeling language and frameworks used.", "The formalization of a RM requires some effort.", "This is usually only profitable if the RM is reused often enough like in our example, where RMs are used to configure multiple vehicles.", "Hence, the use of this approach is especially suitable for recurring modeling tasks and for those where high demands are made on model verification.", "" ], "target_context_ids": [ 17, 18, 19, 20, 21, 22, 23 ], "selected_paragraphs": [ "[paragraph id = 17] We see the queries listed in Table 1 with their results and the constraints constructed from them.", "[paragraph id = 18] The tree view shows the nesting of the logical statements.", "[paragraph id = 19] A constrained is fulfilled when its upper node is displayed in green.", "[paragraph id = 20] Unfulfilled constraints (4 and 5) are shown in red and queries which only returned values are shown in grey.", "[paragraph id = 21] On the upper level, this representation allows a quick check of the extent to which a solution conforms to the constraints of a RM.", "[paragraph id = 22] On the lower levels, the details of a query can be analyzed and appropriate corrections can be made to the model.", "[paragraph id = 23] The result can be exported from the RMA as RDF file." ], "table_html": "
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q1\n\nCOUNT: all cars\n\n1
q2\n\nCOUNT: cars with 4 wheels\n\n1
q3\n\nCOUNT: cars with 1 transmission gear\n\n1
q4\n\nASK: transmission is a manual and an automatic transmission\n\nfalse
q5\n\nASK: cars with less than one engine\n\nfalse
q6\n\nASK: cars with more than one combustion engine\n\nfalse
q7\n\nCOUNT: cars with at least one combustion engine\n\n1
q8\n\nCOUNT: cars with at least one electric engine\n\n1
q9\n\nCOUNT: cars with a combustion engine and a fuel tank\n\n1
q10\n\nCOUNT: cars with an electric engine and a battery\n\n0
q11\n\nCOUNT: cars with an electric engine and a automatic transmission\n\n0
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r1q1 = q2true
r2(q1 = q3) AND NOT q4true
r3NOT(q5 AND q6)true
r4(q7=q9) AND (q8=q10)false
r5q8=q11false
\n
\n
Table 1: Queries and constraints with results for the car example
\n
", "perturb_sentence_id": [ 20, 21 ], "output": { "perturbed_statement": "[paragraph id = 20] Unfulfilled constraints (4 and 5) are shown in blue and queries which only returned values are shown in grey.On the upper level, this representation allows a quick check of the extent to which a solution conforms to the constraints of a RM.", "perturbed_explanation": "1. The statement describes a specific color code used to represent unfulfilled constraints and queries within a model solution. The original statement mentions that unfulfilled constraints are shown in red, providing a visual indication that certain constraints have not been met. The use of color coding, such as red, helps users quickly identify issues that require attention. 2. In the statement, unfulfilled constraints are incorrectly described as being shown in blue, which contradicts the original context. The original explanation clarifies that unfulfilled constraints are displayed in red to signal that certain conditions have not been satisfied. Therefore, referring to them as blue introduces a factual error, as it misrepresents the designated color for unfulfilled constraints within the model." } } ]