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

1. Write your graph/ontology in Controlled Natural Language or import it from RDF/OWL

2. Add reasoning rules/T-Box in Controlled Natural Language

3. Import data using Pandas/scrap them from the internet

4. Draw the resulting, materialized graph

5. Use SPARQL to execute graph query

6. 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 your system using

$ pip install cognipy

Open Source repository

• Git Repository (on GitHub)

Hello world program

In Jupyter you write

from cognipy.ontology import Ontology #the ontology processing class

%%writefile hello.encnl
World says Hello.
Hello is a word.

onto = Ontology("cnl/file","hello.encnl")
print(onto.select_instances_of("a thing that says a word")[["says","Instance"]])

Output (Pandas DataFrame):

	says	Instance
0	Hello	World

Related research papers

1. Semantic rules representation in controlled natural language in FluentEditor <https://ieeexplore.ieee.org/document/6577807>

2. Collaborative Editing of Ontologies Using Fluent Editor and Ontorion <https://link.springer.com/chapter/10.1007/978-3-319-33245-1_5>

3. Semantic OLAP with FluentEditor and Ontorion Semantic Excel Toolchain <http://www.thinkmind.org/index.php?view=article&articleid=semapro_2015_3_30_30051>

4. Ontology-aided software engineering <https://www.semanticscholar.org/paper/Ontology-aided-software-engineering-Kaplanski/24100da2431d6f8a3cd9114c7d4a9050fb421d22?p2df>

5. Ontology of the Design Pattern Language for Smart Cities Systems <https://link.springer.com/chapter/10.1007/978-3-662-53580-6_6>

How to cite CogniPy

We would be grateful if scientific publications resulting from projects that make use of CogniPy would include the following sentence in the acknowledgments section: “This work was conducted using the CogniPy package, which is an open-source project maintained by [Cognitum Services S.A.](https://www.cognitum.eu)”

CogniPy:

• Examples
  • Safari
    • African Wildlife.
    • Part-1: ‘simple hierarchy of beings’.
    • Part-2: Disjointness
    • Part-3: Modal expressions and part-whole relationships.
  • Solar System
    • Scraping data and building CNL
    • Constructing few rules that will merge all the things together
    • Loading the ontology
    • Exploring the ontology
    • Draw the ontology
  • Covid Restrictions.
  • Pizza from OWL
• Grammar
  • Semantic Web, Ontologies
  • CogniPy Basic Features
    • Controlled Natural Language (CNL)
    • Ontology Editors
    • CogniPy Grammar Intro
  • Naming Conventions
    • Naming in OWL
    • Naming in CogniPy
    • Dealing with Naming Conflicts
    • Non-standard Identifiers
  • Concept Specification
    • Concept Subsumption
    • Concept Equivalence
    • Disjoint Concepts
    • Value Partition
    • Cardinality Restriction
    • Has-key Expression (Experimental)
    • Defining Complex Concepts
  • Instance Specifications
  • Role Specifications
    • General Role Inclusion
    • Axioms on Roles
    • Role Equivalence
    • Disjoint Roles
    • Ranges and Domains
  • Data Attributes (Properties) Specifications
    • Cardinality Restriction
    • User-defined Data Type
  • Rule Specifications
  • Core SWRL Built-ins
    • Built-ins for Comparisons
    • Math Built-ins
    • Built-ins for Strings
    • Built-ins for Date, Time and Duration
• Dictonary
  • A / an
  • And
  • And-or
  • Anything
  • As-well-as
  • Be (is/are)
  • Be not (is not /are not)
  • By
  • Less-than/more-than/at-least/at-most/differet-than/zero/one/two…
  • Greater-than/lower-than/greater-or-equal-to/lower-or-equal-to/different-from
  • Do-not/does-not
  • Either … or …
  • Equal-to
  • Be (is/are)
  • Every-single-thing
  • … for … execute <? … ?>
  • Exists
  • If-and-only-if
  • If-and-only-if-it
  • If-and-only-if-it-either
  • If … then …
  • Is-(not-)the-same-as
  • Is-unique-if
  • It
  • Itself
  • Can/can-not/must/must-not/should/should-not
  • No
  • None
  • Nothing
  • Nothing-but
  • Or-something-else
  • Something
  • (some boolean/datetime/integer/string value)
  • That
  • that-has-length
  • That-matches-pattern
  • The
  • The-one-and-the-only
  • Thing/things
• API Refrence
  • cognipy.ontology

Indices and tables

• Index

• Module Index

• Search Page