Knowledge Graph Construction for Technology Intelligence and Planning of Cyber-Physical Systems

Resources:-

File Descriptions

Filename: 01_corpus.zip
File Format: Zipped CSV file
Content Description: A corpus of documents relevant to "automotive electrical systems."
Structure: Header + 46848 rows
Columns/Attributes:
- doc_id: Unique identifier
- doc_type: Document genre (NEWS: news article, SCIENCE: research publication, PATENT: patent filing, PROJECT_DESCR: research project)
- doc_sub_type: Subgenre of the document
- title: Title of the document
- doc_date: Publication date, or filing date for patents
- url: Web link to the document
- score_relevance: Measure for goodness of fit to search query, ranging from 0 to 1

Filename: 02_keyphrases.csv
File Format: CSV file
Content Description: List of keyphrases relevant to automotive electrical systems extracted from the corpus.
Structure: Header + 3623 rows
Columns/Attributes:
- topic_id: Unique identifier
- term: Short descriptor
- nb_{news, science, patent}: Number of documents matching the topic within the corpus of the specified genre
- nb_{news, science, patent}_topic: Number of documents matching the topic within the database
- npmi_{news, science, patent}: Normalized pointwise mutual information of the topic, ranging from -1 to 1
- npmi_{max, min}: Maximum/minimum nPMI across genres

Filename: 03_semantic_network.cys
File Format: Cytoscape network session
Content Description: Complete semantic network for automotive electrical systems, including MCL-clustered semantic network and ChatGPT generated network.

Filename: 04_semantic_network_MCL_clustered.pdf
File Format: PDF image
Content Description: Image of the complete, MCL clustered semantic network for automotive electrical systems.

Filename: LLM_GenialOntologyKG.html
File Format: HTML File
Content Description: Knowledge graph generated using GPT model with the Genial ontology.

Filename: LLM_InnovationOntologyKG.html
File Format: HTML File
Content Description: Knowledge graph generated using GPT model with the Innovation ontology.