Feature |
Current Status |
Harvesting of Data from various providers using dumps, APIs, datastreams and OAI. |
enabled |
Cleaning and enrichment of metadata for the harmonisation process. |
enabled |
Harmonisation of different metadata from Data Providers based on the RESCS Ontology. |
enabled |
Enrichment of the metadata describing the Data Providers by using Wikidata and linling of the the metadata in the Connectome Knowledge graph |
enabled |
Author Name Disambiguation using graph embedded Neural Networks to link metadata. |
in development |
Adding Provenance information to metadata records. |
in development |
Harvesting, cleaning, harmonisation and linking of archival metadata by connecting the RESCS Ontology to discipline- and / or use-case specific ontologies. |
in planning, first implementations likely in 2021 |
Feature |
Current Status |
Query entities in the Connectome Knowledge Graph built on the RESCS Ontology |
enabled |
Authenticate users through OIDC endpoint (such as Edu-Id) |
enabled |
Fetch full resources of Knowledge Graph and export linked metadata resources in different formats |
enabled |
Knowledge graph queries for people and projects related to specific keywords. |
enabled |
Similarity-based knowledge graph queries. |
enabled |
Knowledge graph queries for relations (e.g. Project X is related to Publication Y of Author Y). |
enabled |
Feature |
Current Status |
Discovering most important (central) nodes in the Knowledge Graph to highlight relevance of a given Researcher for a given topic |
enabled |
Discovering most important nodes in the Knowledge Graph to highlight relevance of a given Researcher as bridge between disciplines |
in development |
Identify common knowledge between different research fields on the basis of keywords |
in development |
Named Entity Recognition and text mining in full text of publications to get new keywords, links and other metadata |
in planning, first tests until end 2021 |
Summarize content such as publication abstracts for various Stakeholder needs (e.g. students, school children, the public etc.) |
in Planning, first tests until end 2021 |
Identify possible future research collaborations on the basis of similar keywords in research outputs using Natural Language Processing. |
in planning |
Automatically detect and extract bibliographic references and citations from the full text publications to enrich metadata and create new links |
in planning |
Automatically detect and extract research methods, research questions or other relevant content metadata from the full text publications to enrich metadata and create new links |
in planning |
All current Connectome API and Connectome AI features are documented here. Please contact us as mentioned below if you want to access this data.
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use this template to describe your user story for the Connectome.
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