@ARTICLE{IoTSmartOntology,
  author={Gyrard, Amelie and Zimmermann, Antoine and Sheth, Amit},
  journal={IEEE Internet of Things Journal}, 
  title={Building IoT-Based Applications for Smart Cities: How Can Ontology Catalogs Help?}, 
  year={2018},
  volume={5},
  number={5},
  pages={3978-3990},
  doi={10.1109/JIOT.2018.2854278}
}

@INPROCEEDINGS{RDFIoT,
  author={Hasemann, Henning and Kröller, Alexander and Pagel, Max},
  booktitle={2012 3rd IEEE International Conference on the Internet of Things}, 
  title={RDF provisioning for the Internet of Things}, 
  year={2012},
  volume={},
  number={},
  pages={143-150},
  doi={10.1109/IOT.2012.6402316}
}

@article{IoTFingerprinting,
    title = {Towards automatic fingerprinting of IoT devices in the cyberspace},
    journal = {Computer Networks},
    volume = {148},
    pages = {318-327},
    year = {2019},
    issn = {1389-1286},
    doi = {https://doi.org/10.1016/j.comnet.2018.11.013},
    url = {https://www.sciencedirect.com/science/article/pii/S1389128618306856},
    author = {Kai Yang and Qiang Li and Limin Sun}
}

@article{IoTInspector,
    author = {Huang, Danny Yuxing and Apthorpe, Noah and Li, Frank and Acar, Gunes and Feamster, Nick},
    title = {IoT Inspector: Crowdsourcing Labeled Network Traffic from Smart Home Devices at Scale},
    year = {2020},
    issue_date = {June 2020},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    volume = {4},
    number = {2},
    url = {https://doi.org/10.1145/3397333},
    doi = {10.1145/3397333},
    abstract = {The proliferation of smart home devices has created new opportunities for empirical research in ubiquitous computing, ranging from security and privacy to personal health. Yet, data from smart home deployments are hard to come by, and existing empirical studies of smart home devices typically involve only a small number of devices in lab settings. To contribute to data-driven smart home research, we crowdsource the largest known dataset of labeled network traffic from smart home devices from within real-world home networks. To do so, we developed and released IoT Inspector, an open-source tool that allows users to observe the traffic from smart home devices on their own home networks. Between April 10, 2019 and January 21, 2020, 5,404 users have installed IoT Inspector, allowing us to collect labeled network traffic from 54,094 smart home devices. At the time of publication, IoT Inspector is still gaining users and collecting data from more devices. We demonstrate how this data enables new research into smart homes through two case studies focused on security and privacy. First, we find that many device vendors, including Amazon and Google, use outdated TLS versions and send unencrypted traffic, sometimes to advertising and tracking services. Second, we discover that smart TVs from at least 10 vendors communicated with advertising and tracking services. Finally, we find widespread cross-border communications, sometimes unencrypted, between devices and Internet services that are located in countries with potentially poor privacy practices. To facilitate future reproducible research in smart homes, we will release the IoT Inspector data to the public.},
    journal = {Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.},
    month = {jun},
    articleno = {46},
    numpages = {21},
    keywords = {Internet-of-Things, smart home, security, privacy, network measurement}
}

@article{GraphofThings,
    title = {The Graph of Things: A step towards the Live Knowledge Graph of connected things},
    journal = {Journal of Web Semantics},
    volume = {37-38},
    pages = {25-35},
    year = {2016},
    issn = {1570-8268},
    doi = {https://doi.org/10.1016/j.websem.2016.02.003},
    url = {https://www.sciencedirect.com/science/article/pii/S1570826816000196},
    author = {Danh Le-Phuoc and Hoan {Nguyen Mau Quoc} and Hung {Ngo Quoc} and Tuan {Tran Nhat} and Manfred Hauswirth},
    keywords = {Internet of Things, Graph of Things, Linked Stream Data, Real-time search engine},
}

@INPROCEEDINGS{GraphSurvey,
  author={kumar Kaliyar, Rohit},
  booktitle={International Conference on Computing, Communication \& Automation}, 
  title={Graph databases: A survey}, 
  year={2015},
  volume={},
  number={},
  pages={785-790},
  doi={10.1109/CCAA.2015.7148480}
}

@data{BoTIoT,
  doi = {10.21227/r7v2-x988},
  url = {https://dx.doi.org/10.21227/r7v2-x988},
  author = {Moustafa, Nour},
  publisher = {IEEE Dataport},
  title = {The Bot-IoT dataset},
  year = {2019}
}