symbolic-kg

This repository contains code of my on going PhD research.

https://github.com/siraj1munir/symbolic-kg

Science Score: 57.0%

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Repository

This repository contains code of my on going PhD research.

Basic Info
  • Host: GitHub
  • Owner: Siraj1munir
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 137 KB
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  • Watchers: 1
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Created about 2 years ago · Last pushed 11 months ago
Metadata Files
Readme License Citation

README.md

This repository contains the code base for the paper presented at SmartNets'23

Towards symbolic representation-based modeling of Temporal Knowledge Graphs

Symbolic representation helps us to represent information in a well-defined rule-driven fashion. Currently, there are several ways to represent Knowledge Graphs in general. However, in this work, we extended the implementation of symbolic representation to model domain-oriented temporal Knowledge Graphs. For symbolic representation, we incorporated Horn rules and SWRL (Semantic Web Rule Language). The presented approach is semi-autonomous: (i) we extracted hand-crafted rules and (ii) we utilized the PSyKE (Platform for Symbolic Knowledge Extraction) package to extract some rules automatically from raw data logs. For domain modeling, we targeted a smart industry environment. To validate the proposed model, we conducted a counterfactual study using Knowledge Graph and network analysis for fact-finding and filtering.

To Model KG with Neo4j

Define constraints over entities (ex: CREATE CONSTRAINT FOR (p:Person) REQUIRE p.name IS UNIQUE) Import the dataset you desire using LOAD CSV (Refer to Neo4j Documentation for example). Import or Define relationships and Query

Reference

@INPROCEEDINGS{10215541, author={Munir, Siraj and Ferretti, Stefano}, booktitle={2023 International Conference on Smart Applications, Communications and Networking (SmartNets)}, title={Towards symbolic representation-based modeling of Temporal Knowledge Graphs}, year={2023}, volume={}, number={}, pages={1-8}, keywords={Semantic Web;Knowledge engineering;Industries;Analytical models;Filtering;Knowledge graphs;Network analyzers;Symbolic Representation;Temporal Knowledge Graph;Semantic Representation;Network Analysis}, doi={10.1109/SmartNets58706.2023.10215541}}

Owner

  • Name: Siraj Munir
  • Login: Siraj1munir
  • Kind: user
  • Location: Urbino, Italy
  • Company: University of Urbino Carlo Bo

I'm Data Scientist passionate to work on Deep and machine learning techniques to inspire the world.

Citation (citation.cff)

If you like this work feel free to cite

@INPROCEEDINGS{10215541,
  author={Munir, Siraj and Ferretti, Stefano},
  booktitle={2023 International Conference on Smart Applications, Communications and Networking (SmartNets)}, 
  title={Towards symbolic representation-based modeling of Temporal Knowledge Graphs}, 
  year={2023},
  volume={},
  number={},
  pages={1-8},
  keywords={Semantic Web;Knowledge engineering;Industries;Analytical models;Filtering;Knowledge graphs;Network analyzers;Symbolic Representation;Temporal Knowledge Graph;Semantic Representation;Network Analysis},
  doi={10.1109/SmartNets58706.2023.10215541}}

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