EMPWR: Knowledge Graph Development Platform

Knowledge Graphs (KG) Applications

EMPWR

The AIISC EMPWR: Knowledge Graph Development Platform effort involves the development of a comprehensive tool and platform for KG development with the following aims

1. Develop a KG development platform capable of instantiating KGs in any domains from structured, semi-structured, and unstructured data.

2. Improve & address the limitations of existing KG platforms

3. Constructs a Knowledge Graph (based on a combination of)

- Enrich an existing Knowledge Graph (Top-down declarative)
- Construct a Knowledge Graph out of given entities (Bottom-up data driven)

Scooner

Scooner Scooner is a knowledge-based literature search and exploration system where recently published results are computationally extracted and used a background KB to guide the search process. The key here is that the knowledge base that guides the search is extracted from the same universe of literature that is being explored.

Human Performance and Cognition Ontology

HPCO The human performance and cognition ontology (HPCO) project aims to achieve the following two major objectives

Build a knowledge base using semi-automatic domain hierarchy construction and relationship extraction from PubMed citations;
Build a tool to browse and explore scientific literature with the help of the knowledge base created in 1.

The project involves extending our work in focused knowledge (entity-relationship) extraction from scientific literature, automatic taxonomy extraction from selected community authored content (eg Wikipedia), and semi-automatic ontology development with limited expert guidance.

Healthcare KG

Leaders: Dr. Saeedeh Shekarpour, Dr. Amelie Gyrard

Internet of Things (IoT) KG

Leader: Dr. Amelie Gyrard

Linked Open Vocabularies for Internet of Things (LOV4IoT), an ontology catalog for Internet of Things, references ontology-based IoT projects:
- Almost 500 ontology-based projects for IoT, smart cities, etc.
- More than 20 domains relevant to IoT referenced such as building, smart grid, smart agriculture, robotics, smart transportation, healthcare, etc.
- We provide the LOV4IoT ontology catalog as an HTML view.
- We also provide the LOV4IoT RDF dataset.
LOV4IoT is an extension of the LOV (Linked Open Vocabulary) catalog.

Project Demonstrator: Linked Open Vocabularies for Internet of Things (LOV4IoT)
LOV4IoT refering almost 400 ontology based IoT projects: http://lov4iot.appspot.com/?p=ontologies
LOV4IoT RDF Dataset: http://purl.org/lov4iot-dataset
Publications: Here
Presentation:

Demo:

Knowledge Extraction for the Web of Things (KE4WoT) Challenge co-located with The Web Conference 2018 (WWW 2018)

Disaster Management KG

Leader: Hussein Al-Olimat, Shruti Kar

NSF Project: Hazards SEES: Social and Physical Sensing Enabled Decision Support for Disaster Management and Response

LOV4IoT-Disaster

Some publications:

Shruti Kar, Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth, and Srinivasan Parthasarathy. "D-record: Disaster Response and Relief Coordination Pipeline". In Proceedings of the ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2018). ACM, 2018.

Security KG

Security Toolbox: Attacks and Countermeasures (STAC) is a project to assist developers in: 1) Designing secured applications or architectures. 2) Being aware of main security threats. 3) Exploring security in various technologies such as: Sensor Networks, Cellular Networks (2G, 3G, 4G), Wireless Networks (Wi-Fi, Wimax, Zigbee, Bluetooth), Mesh/M2M/MANET, Network Management, Web Applications, Cryptography, Attacks & Countermeasures, Security Properties (e.g., authentication, integrity), Etc.