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219 changes: 219 additions & 0 deletions document/bibliography.bib
Original file line number Diff line number Diff line change
Expand Up @@ -371,3 +371,222 @@ @article{donkers2016
publisher={Wiley Online Library}

}

@article{lotynskiWalczak2017,
author = {Flotyński, Jakub and Walczak, Krzysztof},
title = {Ontology-Based Representation and Modelling of Synthetic 3D Content: A State-of-the-Art Review},
journal = {Computer Graphics Forum},
volume = {36},
number = {8},
pages = {329-353},
keywords = {Computer graphics I.3.7: Three-Dimensional Graphics and Realism, Virtual reality; Information interfaces and presentation H.5.1: Multimedia information systems, Artificial augmented and virtual realities; Information interfaces and presentation H.5.2: User Interfaces, Graphical user interfaces (GUI) Virtual reality},
doi = {https://doi.org/10.1111/cgf.13083},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.13083},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.13083},
abstract = {Abstract An indispensable element of any practical 3D/VR/AR application is synthetic three-dimensional (3D) content. Such content is characterized by a variety of features—geometry, structure, space, appearance, animation and behaviour—which makes the modelling of 3D content a much more complex, difficult and time-consuming task than in the case of other types of content. One of the promising research directions aiming at simplification of modelling 3D content is the use of the semantic web approach. The formalism provided by semantic web techniques enables declarative knowledge-based modelling of content based on ontologies. Such modelling can be conducted at different levels of abstraction, possibly domain-specific, with inherent separation of concerns. The use of semantic web ontologies enables content representation independent of particular presentation platforms and facilitates indexing, searching and analysing content, thus contributing to increased content re-usability. A range of approaches have been proposed to permit semantic representation and modelling of synthetic 3D content. These approaches differ in the methodologies and technologies used as well as their scope and application domains. This paper provides a review of the current state of the art in representation and modelling of 3D content based on semantic web ontologies, together with a classification, characterization and discussion of the particular approaches.},
year = {2017}
}

@article{georgieva2023transforming,
title={Transforming 3d models to semantic web representation},
author={Georgieva-Trifonova, Tsvetanka and Galabov, Miroslav},
journal={Romanian Journal of Information Science and Technology},
volume={26},
number={1},
pages={33--48},
year={2023}
}

@article{Sikos2017,
author = {Sikos, Leslie F.},
title = {A novel ontology for 3D semantics: ontology-based 3D model indexing and content-based video retrieval applied to the medical domain},
journal = {International Journal of Metadata, Semantics and Ontologies},
volume = {12},
number = {1},
pages = {59-70},
year = {2017},
doi = {10.1504/IJMSO.2017.087702},

URL = {


https://www.inderscienceonline.com/doi/abs/10.1504/IJMSO.2017.087702


},
eprint = {


https://www.inderscienceonline.com/doi/pdf/10.1504/IJMSO.2017.087702


}
,
abstract = { Because of the growing popularity of 3D modelling, there is a great demand for efficient mechanisms to automatically process 3D contents. Owing to the lack of semantics, however, most 3D scenes cannot be interpreted by software agents. 3D ontologies can provide formal definitions for 3D objects; however, many of them are semi-structured only, cover a narrow knowledge domain, do not provide comprehensive coverage for geometric primitives, and do not exploit the full expressivity of the implementation language. This paper presents the most comprehensive formally grounded 3D ontology to date that maps the entire XSD-based vocabulary of the industry standard X3D (ISO/IEC 19775-19777) to OWL 2, complemented by fundamental concepts and roles of the 3D modelling industry not covered by X3D. This upper ontology can be used for the representation, annotation, and efficient indexing of 3D models, and their retrieval by 3D characteristics rather than by associated category labels. }
}

@inproceedings{BrutzmanFlotynski2020,
author = {Brutzman, Don and Floty\'{n}ski, Jakub},
title = {X3D Ontology for Querying 3D Models on the Semantic Web},
year = {2020},
isbn = {9781450381697},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3424616.3424715},
doi = {10.1145/3424616.3424715},
abstract = {The Semantic Web offers significant capabilities that transform the current Web into a global knowledge base including various cross-linked multimedia content with formal descriptions of its semantics understandable to humans and processable by computers. Content on the Semantic Web can be subject to reasoning and queries with standardized languages, methods and tools, which opens new opportunities for collaborative creation, use and exploration of web repositories. However, these opportunities have not been exploited so far by the available 3D formats and modeling tools, which limits the possibilities of search and reuse of 3D content as part of the Semantic Web. This work contributes a semantic development pipeline of the X3D Ontology, with corresponding conversion of X3D models into triple forms suitable for formal query. The ontology design reflects experience accompanying the development of the Extensible 3D (X3D) Graphics International Standard, in particular, the X3D Unified Object Model (X3DUOM). This approach combines semantic and syntactic elements of X3D models and metadata to support integration with the Semantic Web. The pipeline enables automatic generation of the X3D Ontology, thereby providing an up-to-date 3D representation with semantics during X3D specification development. By extending commonplace model conversions from other formats to X3D, the ontology presents the potential to enable integration of most forms of 3D content with the Semantic Web.},
booktitle = {Proceedings of the 25th International Conference on 3D Web Technology},
articleno = {14},
numpages = {6},
keywords = {X3DUOM, X3D Ontology, Web3D, Semantic Web, Semantic 3D},
location = {Virtual Event, Republic of Korea},
series = {Web3D '20}
}

@article{flotynski2020recent,
title={Recent advances in Web3D semantic modeling},
author={Floty{\'n}ski, Jakub and Malamos, Athanasios G and Brutzman, Don and Hamza-Lup, Felix G and Polys, Nicholas F and Sikos, Leslie F and Walczak, Krzysztof},
journal={Recent advances in 3D imaging, modeling, and reconstruction},
pages={23--49},
year={2020},
publisher={IGI Global}
}

@INPROCEEDINGS{flotynski2020bot,
author={Flotyński, Jakub and Brutzman, Don and Hamza-Lup, Felix G. and Malamos, Athanasios and Polys, Nicholas and Sikos, Leslie F. and Walczak, Krzysztof},
booktitle={2019 International Conference on 3D Immersion (IC3D)},
title={The Semantic Web3d: Towards Comprehensive Representation of 3d Content on the Semantic Web},
year={2019},
volume={},
number={},
pages={1-9},
keywords={Semantic Web;Three-dimensional displays;Semantics;Knowledge based systems;X3D;Ontologies;Market research;Standards;Next generation networking;Indexing;virtual reality;Web3D;X3D;Semantic Web;ontologies;knowledge bases},
doi={10.1109/IC3D48390.2019.8975906}}

@article{doi:10.3233/SW-200385,
author = {Mads Holten Rasmussen and Maxime Lefrançois and Georg Ferdinand Schneider and Pieter Pauwels},
title ={BOT: The building topology ontology of the W3C linked building data group},

journal = {Semantic Web},
volume = {12},
number = {1},
pages = {143-161},
year = {2020},
doi = {10.3233/SW-200385},

URL = {


https://journals.sagepub.com/doi/abs/10.3233/SW-200385


},
eprint = {


https://journals.sagepub.com/doi/pdf/10.3233/SW-200385


}
,
abstract = { Actors in the Architecture, Engineering, Construction, Owner and Operation (AECOO) industry traditionally exchange building models as files. The Building Information Modelling (BIM) methodology advocates the seamless exchange of all information between related stakeholders using digital technologies. The ultimate evolution of the methodology, BIM Maturity Level 3, envisions interoperable, distributed, web-based, interdisciplinary information exchange among stakeholders across the life-cycle of buildings. The World Wide Web Consortium Linked Building Data Community Group (W3C LBD-CG) hypothesises that the Linked Data models and best practices can be leveraged to achieve this vision in modern web-based applications. In this paper, we introduce the Building Topology Ontology (BOT) as a core vocabulary to this approach. It provides a high-level description of the topology of buildings including storeys and spaces, the building elements they contain, and their web-friendly 3D models. We describe how existing applications produce and consume datasets combining BOT with other ontologies that describe product catalogues, sensor observations, or Internet of Things (IoT) devices effectively implementing BIM Maturity Level 3. We evaluate our approach by exporting and querying three real-life large building models. }
}

@article{zhao2024envon,
author = {Yingshen Zhao and Arkopaul Sarkar and Linda Elmhadhbi and Mohamed Hedi Karray and Philippe Fillatreau and Bernard Archimède},
title ={An ontology of 3D environment where a simulated manipulation task takes place (ENVON)},

journal = {Semantic Web},
volume = {15},
number = {2},
pages = {613-640},
year = {2024},
doi = {10.3233/SW-233460},

URL = {


https://journals.sagepub.com/doi/abs/10.3233/SW-233460


},
eprint = {


https://journals.sagepub.com/doi/pdf/10.3233/SW-233460


}
,
abstract = { Thanks to the advent of robotics in shopfloor and warehouse environments, control rooms need to seamlessly exchange information regarding the dynamically changing 3D environment to facilitate tasks and path planning for the robots. Adding to the complexity, this type of environment is heterogeneous as it includes both free space and various types of rigid bodies (equipment, materials, humans etc.). At the same time, 3D environment-related information is also required by the virtual applications (e.g., VR techniques) for the behavioral study of CAD-based product models or simulation of CNC operations. In past research, information models for such heterogeneous 3D environments are often built without ensuring connection among different levels of abstractions required for different applications. For addressing such multiple points of view and modelling requirements for 3D objects and environments, this paper proposes an ontology model that integrates the contextual, topologic, and geometric information of both the rigid bodies and the free space. The ontology provides an evolvable knowledge model that can support simulated task-related information in general. This ontology aims to greatly improve interoperability as a path planning system (e.g., robot) and will be able to deal with different applications by simply updating the contextual semantics related to some targeted application while keeping the geometric and topological models intact by leveraging the semantic link among the models. }
}


@article{messaoudi2018heritage,
title = {An ontological model for the reality-based 3D annotation of heritage building conservation state},
journal = {Journal of Cultural Heritage},
volume = {29},
pages = {100-112},
year = {2018},
issn = {1296-2074},
doi = {https://doi.org/10.1016/j.culher.2017.05.017},
url = {https://www.sciencedirect.com/science/article/pii/S1296207417304508},
author = {Tommy Messaoudi and Philippe Véron and Gilles Halin and Livio {De Luca}},
keywords = {Conservation, Cultural heritage, Ontology, Data management, Semantic annotation, Knowledge},
abstract = {The conservation and restoration of historical monuments require a diagnostic analysis carried out by a multidisciplinary team. The results of the diagnosis include data produced by different techniques and protocols, which are used by conservation scientists to assess the built heritage. Nowadays, together with the aforementioned data, a great deal of heterogeneous information is also available, including descriptive and contextual information, as well as 2D/3D geometrical restitution of the studied object. However, the integration of these diverse data into a unique information model capable of fully describing the building conservation state, as well as integrating future data, is still an open issue within the Cultural Heritage community. It is of paramount importance to correlate these data and spatialize them in order to provide scientists in charge of our heritage with a practical and easy means to explore the information used during their assessment, as well as a way to record their scientific observation and share them within their community of practice. In order to resolve this issue, we developed a correlation pipeline for the integration of the semantic, spatial and morphological dimension of a built heritage. The pipeline uses an ontological model for recording and integrating multidisciplinary observations of the conservation state into structural data spatialized into a semantic-aware 3D representation. The pipeline was successfully tested on the Saint Maurice church of Caromb in the south of France, integrating into a unique spatial representation information about material and alteration phenomena, providing users with a means to correlate, and more importantly retrieve several types of information.}
}

@article{pacheco2018creating,
title={Creating an Ontology to Represent Qualitatively a Scene in a Virtual Reality Environment.},
author={Pacheco, Eduardo Eloy Loza and Sosa, Mayra Lorena D{\'\i}az and Ruiz, Miguel Jes{\'u}s Torres and Diaz-Velarde, Mar{\'\i}a Eugenia Canut},
journal={Res. Comput. Sci.},
volume={147},
number={10},
pages={45--52},
year={2018}
}

@article{walczak2019inference,
title={Inference-based creation of synthetic 3D content with ontologies},
author={Walczak, Krzysztof and Floty{\'n}ski, Jakub},
journal={Multimedia Tools and Applications},
volume={78},
number={9},
pages={12607--12638},
year={2019},
publisher={Springer}
}

@article{amico2106ontological,
title={Ontological Entities for Planning and Describing Cultural Heritage 3D Models Creation. arXiv 2021},
author={Amico, N and Felicetti, A},
journal={arXiv preprint arXiv:2106.07277}
}

@article{гончар2021ontological,
title={Ontological approach to consolidation of 3D models of objects of historical and cultural heritage and GIS},
author={Гончар, Андрій Володимирович and Довгий, Станіслав Олексійович and Попова, Марина Андріївна},
journal={Radioelectronic and Computer Systems},
number={1},
pages={81--91},
year={2021}
}

@article{yang2023knowledge,
title={Knowledge graph representation method for semantic 3D modeling of Chinese grottoes},
author={Yang, Su and Hou, Miaole},
journal={Heritage Science},
volume={11},
number={1},
pages={1--26},
year={2023},
publisher={Nature Publishing Group}
}

@inproceedings{pittarello2006semantic,
title={Semantic description of 3D environments: a proposal based on web standards},
author={Pittarello, Fabio and De Faveri, Alessandro},
booktitle={Proceedings of the eleventh international conference on 3D web technology},
pages={85--95},
year={2006}
}
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