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[
  "Abarth",
  "Alfa Romeo",
  "Aston Martin",
  "Audi",
  "Bentley",
  "BMW",
  "Bugatti",
  "Cadillac",
  "Chevrolet",

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The goal was it to find the authors of a book in fileA.json and get their details in fileB.json

See:

https://twitter.com/JMHReif/status/1503851216740171784?s=20&t=4D2LUKLH9Kh5hCuTSxRlbw

https://twitter.com/JMHReif/status/1503851872096067585?s=20&t=4D2LUKLH9Kh5hCuTSxRlbw

Goal: Create an array of author ids from fileA. Depending on what is to be filtered from fileA.json, there are different approaches:

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import os

from neo4j import GraphDatabase
import json
import random
import logging
import uuid

# default parameters
URI = "bolt://localhost:7687"

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package demo;

import static java.util.Arrays.asList;
import static org.springframework.security.core.authority.AuthorityUtils.createAuthorityList;

import java.io.PrintWriter;
import java.io.StringWriter;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;

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CREATE (n:HumeAction)
SET n.id = 'hume_action_chart'
SET n.data = '{
  "label": "Show Demand",
  "returnType": "CHART",
  "scope": "LOCAL",
  "id": "hume_action_chart",
  "action": {
 "statement": "MATCH (n:Product) WHERE id(n) = $id 

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CREATE (n:HumeAction)
SET n.id = 'hume_action_person_eco'
SET n.data = '{
  "label": "Show Ecosystem of Person",
  "returnType": "GRAPH",
  "scope": "GLOBAL",
  "id": "hume_action_find_person_eco",
  "inputParameters": [
 {

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CREATE (n:HumeAction)
SET n.id = 'hume_action_ins'
SET n.data = '{
  "label": "Ship Product to",
  "returnType": "GRAPH",
  "scope": "LOCAL",
  "id": "hume_action_ins",
  "inputParameters": [
 {

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## Hackathon API docs

In the same idea as dbpedia spotlight, the Hume API will provide an endpoint to let people run the entity linking process of a text and retrieve associated results.

### Annotate text

POST /entitylinking/annotate

Request body :

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{
  "@text": "SPS-ALPHA incorporates a number of critical new technologies, including: (1) WPT using a retrodirective RF phased array with high-efficiency solid-state amplifiers; (2) high-efficiency multi-bandgap PV solar cells, employed in a concentrator PV (CPV) architecture with integrated thermal management; (3) lightweight structural components, applied in various systems \/ subsystems; (4) autonomous robotics in a highly structured environment; and, (5) a high-degree of autonomy among individual modules. However, no 'breakthroughs' are required, and the key innovation is at the architecture level.",
  "@confidence": "0.35",
  "@support": "0",
  "@types": "",
  "@sparql": "",
  "@policy": "whitelist",
  "Resources": [
    {
      "@URI": "http:\/\/dbpedia.org\/resource\/World_Poker_Tour",

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