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         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/24728ddede123efd5255bf81a4d2b44e2/analyticcomp",         
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         "intraHash" : "4728ddede123efd5255bf81a4d2b44e2",
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         "label" : "Emotional Framing in the Spreading of False and True Claims",
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         "booktitle": "Proceedings of the 15th ACM Web Science Conference 2023","series": "Proceedings",
         "year": "2023", 
         "url": "https://doi.org/10.1145/3578503.3583611", 
         
         "author": [ 
            "Akram Sadat Hosseini","Steffen Staab"
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         "authors": [
         	
            	{"first" : "Akram Sadat",	"last" : "Hosseini"},
            	{"first" : "Steffen",	"last" : "Staab"}
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         "preprinturl" : "https://arxiv.org/abs/2303.16733",
         
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         "label" : "Shrinking Embeddings for Hyper-Relational Knowledge Graphs",
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         "author": [ 
            "Bo Xiong","Mojtaba Nayyeri","Shirui Pan","Steffen Staab"
         ],
         "authors": [
         	
            	{"first" : "Bo",	"last" : "Xiong"},
            	{"first" : "Mojtaba",	"last" : "Nayyeri"},
            	{"first" : "Shirui",	"last" : "Pan"},
            	{"first" : "Steffen",	"last" : "Staab"}
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         "volume": "1",
         "code" : "https://github.com/xiongbo010/ShrinkE",
         
         "arxiv" : "2306.02199",
         
         "preprinturl" : "https://arxiv.org/abs/2306.02199",
         
         "abbr" : "ACL",
         
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         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/276020f2c43ec4250eb244cc395f9076d/analyticcomp",         
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            "ac-coffee","myown","ac-krbuilding","peer","from:danielhz"
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         "label" : "Building Information Validation and Reasoning Using Semantic Web Technologies",
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         "date" : "2023-07-04 17:56:20",
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         "booktitle": "Computer-Aided Architectural Design. INTERCONNECTIONS: Co-computing Beyond Boundaries","publisher":"Springer Nature Switzerland","address":"Cham",
         "year": "2023", 
         "url": "", 
         
         "author": [ 
            "Diellza Elshani","Daniel Hernandez","Alessio Lombardi","Lasath Siriwardena","Tobias Schwinn","Al Fisher","Steffen Staab","Achim Menges","Thomas Wortmann"
         ],
         "authors": [
         	
            	{"first" : "Diellza",	"last" : "Elshani"},
            	{"first" : "Daniel",	"last" : "Hernandez"},
            	{"first" : "Alessio",	"last" : "Lombardi"},
            	{"first" : "Lasath",	"last" : "Siriwardena"},
            	{"first" : "Tobias",	"last" : "Schwinn"},
            	{"first" : "Al",	"last" : "Fisher"},
            	{"first" : "Steffen",	"last" : "Staab"},
            	{"first" : "Achim",	"last" : "Menges"},
            	{"first" : "Thomas",	"last" : "Wortmann"}
         ],
         
         "editor": [ 
            "Michela Turrin","Charalampos Andriotis","Azarakhsh Rafiee"
         ],
         "editors": [
         	
            	{"first" : "Michela",	"last" : "Turrin"},
            	{"first" : "Charalampos",	"last" : "Andriotis"},
            	{"first" : "Azarakhsh",	"last" : "Rafiee"}
         ],
         "pages": "470--484","abstract": "The integration of data from various disciplines, including requirements and regulations, is essential in the co-design of buildings. Constraints that arise during design, fabrication, or construction are mainly considered in the later stages of the design process. This often leads to costly revisions during fabrication or construction. While there are some works proposing Semantic Web approaches or ad-hoc methods to identify constraint violations in the early stages of design, they mainly rely on data derived from monolithic data schemas. This paper presents a Semantic Web approach that validates and checks building data derived from federated data schemas. The proposed approach is exemplified through the design process of a segmented timber shell, a complex structure requiring negotiations across architectural, engineering, and fabrication parameters. The Building Habitat object Models (BHoM) framework is used to represent federated building data, and the approach enables a seamless movement between the graph environment and object models to support the design process. Additionally, the study discusses various technologies that aid in knowledge inference or data validation. The results of this study suggest that the use of Semantic Web technologies in conjunction with federated data schemas has significant potential to enhance co-design processes in the building industry. While further research is needed to assess its effectiveness in other scenarios, our application of this approach in checking and validating building data for a complex segmented timber shell structure demonstrates its promise as a means to streamline the design process.",
         "isbn" : "978-3-031-37189-9",
         
         "bibtexKey": "10.1007/978-3-031-37189-9_31"

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         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/27a63ca97f5c8ed53f5f75ba297605894/analyticcomp",         
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         "label" : "Visualizing How-Provenance Explanations for SPARQL Queries",
         "user" : "analyticcomp",
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         "date" : "2023-05-31 13:10:38",
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         "booktitle": "Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023","publisher":"ACM",
         "year": "2023", 
         "url": "https://doi.org/10.1145/3543873.3587350", 
         
         "author": [ 
            "Luis Galárraga","Daniel Hernández","Anas Katim","Katja Hose"
         ],
         "authors": [
         	
            	{"first" : "Luis",	"last" : "Galárraga"},
            	{"first" : "Daniel",	"last" : "Hernández"},
            	{"first" : "Anas",	"last" : "Katim"},
            	{"first" : "Katja",	"last" : "Hose"}
         ],
         
         "editor": [ 
            "Ying Ding","Jie Tang","Juan F. Sequeda","Lora Aroyo","Carlos Castillo","Geert-Jan Houben"
         ],
         "editors": [
         	
            	{"first" : "Ying",	"last" : "Ding"},
            	{"first" : "Jie",	"last" : "Tang"},
            	{"first" : "Juan F.",	"last" : "Sequeda"},
            	{"first" : "Lora",	"last" : "Aroyo"},
            	{"first" : "Carlos",	"last" : "Castillo"},
            	{"first" : "Geert-Jan",	"last" : "Houben"}
         ],
         "pages": "212-216","abstract": "Knowledge graphs (KGs) are vast collections of machine-readable information, usually modeled in RDF and queried with SPARQL. KGs have opened the door to a plethora of applications such as Web search or smart assistants that query and process the knowledge contained in those KGs. An important, but often disregarded, aspect of querying KGs is query provenance: explanations of the data sources and transformations that made a query result possible. In this article we demonstrate, through a Web application, the capabilities of SPARQLprov, an engine-agnostic method that annotates query results with how-provenance annotations. To this end, SPARQLprov resorts to query rewriting techniques, which make it applicable to already deployed SPARQL endpoints. We describe the principles behind SPARQLprov and discuss perspectives on visualizing how-provenance explanations for SPARQL queries.",
         "venue" : "Austin, Texas, USA",
         
         "language" : "English",
         
         "eventdate" : "30 April 2023 - 4 May 2023",
         
         "eventtitle" : "ACM Web Conference 2023, WWW 2023",
         
         "bibsource" : "dblp computer science bibliography, https://dblp.org",
         
         "doi" : "10.1145/3543873.3587350",
         
         "bibtexKey": "DBLP:conf/www/Galarraga0KH23"

      }
	  
   ]
}
