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Title | CogniPy for Pandas - In-memory Graph Database and Knowledge Graph with Natural Language Interface — |
Description | CogniPy for Pandas - In-memory Graph Database and Knowledge Graph with Natural Language Interface, Reasoning, exploration of RDF/OWL, FluentEditor CNL files, with OWL/RL Reasoner (Jena) as well as SPARQL Graph queries (Jena) and |
Keywords | N/A |
WebSite | cognipy.org |
Host IP | 185.199.111.153 |
Location | - |
Site | Rank |
US$886,115
Last updated: 2023-05-17 00:29:38
cognipy.org has Semrush global rank of 11,944,627. cognipy.org has an estimated worth of US$ 886,115, based on its estimated Ads revenue. cognipy.org receives approximately 102,244 unique visitors each day. Its web server is located in -, with IP address 185.199.111.153. According to SiteAdvisor, cognipy.org is safe to visit. |
Purchase/Sale Value | US$886,115 |
Daily Ads Revenue | US$818 |
Monthly Ads Revenue | US$24,539 |
Yearly Ads Revenue | US$294,463 |
Daily Unique Visitors | 6,817 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
cognipy.org. | A | 3599 | IP: 185.199.111.153 |
cognipy.org. | A | 3599 | IP: 185.199.108.153 |
cognipy.org. | A | 3599 | IP: 185.199.109.153 |
cognipy.org. | A | 3599 | IP: 185.199.110.153 |
cognipy.org. | NS | 3600 | NS Record: dns3.home.pl. |
cognipy.org. | NS | 3600 | NS Record: dns.home.pl. |
cognipy.org. | NS | 3600 | NS Record: dns2.home.pl. |
1.0.0 CogniPy: Examples Grammar Dictonary API Refrence CogniPy » CogniPy for Pandas - In-memory Graph Database and Knowledge Graph with Natural Language Interface View page source CogniPy for Pandas ¶ In-memory Graph Database and Knowledge Graph with Natural Language Interface Whats in the box Reasoning, exploration of RDF/OWL, [FluentEditor]( https://www.cognitum.eu/Semantics/FluentEditor/ ) CNL files, with OWL/RL Reasoner (Jena) as well as SPARQL Graph queries (Jena) and visualization Write your graph/ontology in Controlled Natural Language or import it from RDF/OWL Add reasoning rules/T-Box in Controlled Natural Language Import data using Pandas/scrap them from the internet Draw the resulting, materialized graph Use SPARQL to execute graph query Use output Dataframe for further processing with Pandas Installation ¶ Prerequisites: If you are on Mac or Linux You MUST have mono installed on your system. Tested with Anaconda Tested on MacOS, Winows and Linux (UBuntu) Install cognipy on |
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