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Matches in ESWC 2020 for { ?s ?p 1. The state-of-the-art is either limited or incomplete. Moreover, the author did not mention the gaps in the existing literature which motivated this work. 2. To me, this work is low on novelty but high on application specific use of existing technology. Given this, the authors need to explain clearly the biggest challenges in dealing with real-world BAS. 4. In Introduction, Section 1, state clearly the existing approaches to BAS, what are the limitations of existing approaches, how the proposed approach bridges the gaps observed in existing approaches, what are the key contributions of your work. Finally, please provide how the paper is organized. 5. There is no need of a footnote 1. Its already explained in Section 1. 6. The authors need to give further technical details of a knowledge graph. How the knowledge graph is designed? How the performance of a knowledge graph is evaluated? 7. Data Ingestion, 2nd paragraph, "The IFC file is then automatically converted to ifcOWL..." How is it automatically converted? Please provide details of parser used? 8. Data Ingestion, 2nd paragraph, are the triples indexed while storing them into a database? Please provide example of triples. How the metadata used for triples is designed or from which standard it is used? How often the semantic model requires update? 9. Generally, the semantically annotation information is rich in its knowledge representation and capture, but such knowledge graphs can be very slow to execute with increases scale of data (particularly gathered in real-world application). Please state how computationally efficient is the performance of your knowledge graph when employed to solve real world applications. 10. Please improve the quality of figures to make them readable. 11. Section 3, Integrated Semantic Information Model, 2nd paragraph, "The semantic model is realized as an RDF-based knowledge graph..." How this semantic model and the knowledge graph is developed? Is it developed manually or automatically? 12. Section 3.1, Design Decisions and Related Work, 3rd paragraph, "....or information model from scratch, we analyzed existing solutions for suitability." Please provide details of what considerations were given to analyze ontologies? how the suitability of ontologies was assessed? did you have to do any adaptation or changes to the ontologies to meet your requirements? 13. How did you assess the correctness, completeness, and coverage of the information using your knowledge graphs and the model? 4. How generic is the proposed model? Can you reuse the proposed model to formalize information content related to another similar construction building?". }

• Paper.102_Review.1 hasContent "1. The state-of-the-art is either limited or incomplete. Moreover, the author did not mention the gaps in the existing literature which motivated this work. 2. To me, this work is low on novelty but high on application specific use of existing technology. Given this, the authors need to explain clearly the biggest challenges in dealing with real-world BAS. 4. In Introduction, Section 1, state clearly the existing approaches to BAS, what are the limitations of existing approaches, how the proposed approach bridges the gaps observed in existing approaches, what are the key contributions of your work. Finally, please provide how the paper is organized. 5. There is no need of a footnote 1. Its already explained in Section 1. 6. The authors need to give further technical details of a knowledge graph. How the knowledge graph is designed? How the performance of a knowledge graph is evaluated? 7. Data Ingestion, 2nd paragraph, "The IFC file is then automatically converted to ifcOWL..." How is it automatically converted? Please provide details of parser used? 8. Data Ingestion, 2nd paragraph, are the triples indexed while storing them into a database? Please provide example of triples. How the metadata used for triples is designed or from which standard it is used? How often the semantic model requires update? 9. Generally, the semantically annotation information is rich in its knowledge representation and capture, but such knowledge graphs can be very slow to execute with increases scale of data (particularly gathered in real-world application). Please state how computationally efficient is the performance of your knowledge graph when employed to solve real world applications. 10. Please improve the quality of figures to make them readable. 11. Section 3, Integrated Semantic Information Model, 2nd paragraph, "The semantic model is realized as an RDF-based knowledge graph..." How this semantic model and the knowledge graph is developed? Is it developed manually or automatically? 12. Section 3.1, Design Decisions and Related Work, 3rd paragraph, "....or information model from scratch, we analyzed existing solutions for suitability." Please provide details of what considerations were given to analyze ontologies? how the suitability of ontologies was assessed? did you have to do any adaptation or changes to the ontologies to meet your requirements? 13. How did you assess the correctness, completeness, and coverage of the information using your knowledge graphs and the model? 4. How generic is the proposed model? Can you reuse the proposed model to formalize information content related to another similar construction building?"".