Ling Ma
University College London
47 Papers
20 Citations
Ling Ma is an academic researcher from University College London. The author has contributed to research in topics: Computer science & Building information modeling. The author has an hindex of 13, co-authored 31 publications. Previous affiliations of Ling Ma include Technion – Israel Institute of Technology & Huazhong University of Science and Technology.
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Papers
Digital twin and its implementations in the civil engineering sector
TL;DR: This research helps establish the state-of-the-art of DT in the civil engineering sector and suggests future DT development by extracting DT research clusters based on the co-occurrence analysis of paper keywords' and the relevant DT constituents.
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Knowledge graph for identifying hazards on construction sites: Integrating computer vision with ontology
TL;DR: This paper integrates computer vision algorithms with ontology models to develop a knowledge graph that can automatically and accurately recognise hazards while adhering to safety regulations, even when they are subjected to change.
152
SeeBridge as next generation bridge inspection: Overview, Information Delivery Manual and Model View Definition
Rafael Sacks,Amir Kedar,André Borrmann,Ling Ma,Ioannis Brilakis,Philipp Hüthwohl,S. Daum,Uri Kattel,Raz Yosef,Thomas Liebich,Burcu Esen Barutcu,Sergej Muhic +11 more
TL;DR: The development of a next-generation integrated bridge inspection system, called SeeBridge, demonstrates that the hurdles in the way of automated acquisition of detailed and semantically rich models of existing infrastructure are computational in nature, not instrumental, and are surmountable with existing technologies.
129
Exploratory literature review of blockchain in the construction industry
Denis J. Scott,Tim Broyd,Ling Ma +2 more
TL;DR: The first academic publications on blockchain in construction instantiated in 2017, with three documents as discussed by the authors. Over the course of several years, new literature emerged at an average annual growth rate of 184%, surmounting to 121 documents at the time of writing this article.
115
Semantic Enrichment for Building Information Modeling: Procedure for Compiling Inference Rules and Operators for Complex Geometry
TL;DR: This work states that semantic enrichment of building models adds meaningful domain-specific or application-specific information to a digital building model that is applicable to solving interoperability problems...
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