Semantic Web Technologies for IoT Data

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Question ^*

What are the biggest challenges you face with your current IoT data management and analysis?

1. Data Siloing/Interoperability Issues

2. Data Volume and Velocity Overload

3. Data Heterogeneity (different formats/sources)

4. Lack of Data Context/Meaning

5. Difficulties in Data Integration

6. Other (Please Specify)

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Question ^*

What is your primary role/responsibility related to IoT data?

1. Data Acquisition/Collection

2. Data Storage/Management

3. Data Analysis/Visualization

4. Application Development (using IoT data)

5. Other (Please Specify)

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Question ^*

How important is it for you to have a standardized way to describe and understand the meaning of your IoT data?

1. Very Important

2. Important

3. Neutral

4. Not Important

5. Not Applicable

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Question ^*

Which of the following Semantic Web technologies are you familiar with? (Select all that apply)

1. RDF (Resource Description Framework)

2. OWL (Web Ontology Language)

3. SPARQL (SPARQL Protocol and RDF Query Language)

4. Knowledge Graphs

5. None of the Above

6. Other (Please Specify)

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Question ^*

What are the most valuable features/benefits you would expect from using Semantic Web technologies for your IoT data? (Select up to 3)

1. Improved Data Interoperability

2. Enhanced Data Integration

3. Better Data Discovery and Search

4. Increased Data Context and Meaning

5. Automated Data Reasoning and Analysis

6. Simplified Data Management

7. Other (Please Specify)

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