* aéPiot Semantic Bridge Integration System
* Universal implementation for websites, blogs, and web applications
class AePiotSemanticBridge {
constructor(config = {}) {
this.config = {
aepiotDomain: 'https://aepiot.com',
autoAnalyze: true,
languageDetection: true,
semanticDepth: 'deep', // 'basic', 'standard', 'deep'
crossCulturalMode: true,
learningMode: true,
debugMode: false,
...config
};
this.semanticCache = new Map();
this.knowledgeNetwork = new Map();
this.culturalContexts = new Map();
this.userInteractions = [];
this.init();
}
async init() {
this.detectPageLanguage();
this.extractPageMetadata();
this.initializeSemanticAnalysis();
this.setupInteractionTracking();
this.connectToAePiotNetwork();
if (this.config.autoAnalyze) {
await this.analyzePageContent();
}
}
// ========================
// SEMANTIC ANALYSIS ENGINE
// ========================
async analyzePageContent() {
try {
const content = this.extractContentElements();
const semanticAnalysis = await this.performSemanticAnalysis(content);
const culturalContext = await this.analyzeCulturalContext(content);
const knowledgeConnections = await this.discoverKnowledgeConnections(semanticAnalysis);
this.renderSemanticInsights(semanticAnalysis, culturalContext, knowledgeConnections);
this.logToAePiot('semantic_analysis', {
pageUrl: window.location.href,
contentLength: content.text.length,
semanticDepth: semanticAnalysis.depth,
culturalContexts: culturalContext.contexts.length,
knowledgeConnections: knowledgeConnections.length
});
} catch (error) {
console.error('Semantic analysis failed:', error);
}
}
extractContentElements() {
// Extract meaningful content from the page
const contentElements = {
title: document.title || '',
headings: Array.from(document.querySelectorAll('h1, h2, h3, h4, h5, h6'))
.map(h => ({ level: h.tagName, text: h.textContent.trim() })),
paragraphs: Array.from(document.querySelectorAll('p'))
.map(p => p.textContent.trim()).filter(text => text.length > 20),
images: Array.from(document.querySelectorAll('img'))
.map(img => ({
src: img.src,
alt: img.alt || '',
title: img.title || ''
})),
links: Array.from(document.querySelectorAll('a[href]'))
.map(a => ({
href: a.href,
text: a.textContent.trim(),
external: !a.href.includes(window.location.hostname)
})),
metadata: this.extractPageMetadata(),
language: this.detectPageLanguage(),
text: document.body.textContent || ''
};
return contentElements;
}
async performSemanticAnalysis(content) {
// Perform deep semantic analysis of content
const sentences = this.extractSentences(content.text);
const semanticElements = [];
for (let sentence of sentences.slice(0, 50)) { // Analyze first 50 sentences
if (sentence.length > 10) {
const analysis = {
text: sentence,
hash: this.generateHash(sentence),
concepts: await this.extractConcepts(sentence),
entities: await this.extractEntities(sentence),
sentiment: this.analyzeSentiment(sentence),
complexity: this.calculateComplexity(sentence),
culturalMarkers: this.identifyCulturalMarkers(sentence),
temporalContext: this.analyzeTemporalContext(sentence),
aepiotPrompt: this.generateAePiotPrompt(sentence)
};
semanticElements.push(analysis);
}
}
return {
totalSentences: sentences.length,
analyzedSentences: semanticElements.length,
depth: this.config.semanticDepth,
language: content.language,
overallSentiment: this.calculateOverallSentiment(semanticElements),
keyTopics: this.extractKeyTopics(semanticElements),
culturalContext: this.analyzeCulturalContext(semanticElements),
semanticElements: semanticElements
};
}
extractSentences(text) {
// Intelligent sentence extraction with multiple language support
return text.match(/[^\.!?]+[\.!?]+/g) || [];
}
async extractConcepts(sentence) {
// Extract semantic concepts from sentence
const words = sentence.toLowerCase().split(/\s+/);
const concepts = [];
// Simple concept extraction (in production, use NLP library)
const conceptKeywords = [
'technology', 'innovation', 'digital', 'artificial', 'intelligence',
'business', 'market', 'customer', 'product', 'service',
'education', 'learning', 'teaching', 'student', 'knowledge',
'health', 'medical', 'treatment', 'patient', 'care',
'environment', 'climate', 'sustainability', 'green', 'renewable'
];
for (let word of words) {
if (conceptKeywords.includes(word)) {
concepts.push({
concept: word,
confidence: 0.8,
context: sentence.substring(sentence.indexOf(word) - 10, sentence.indexOf(word) + 30)
});
}
}
return concepts;
}
extractEntities(sentence) {
// Extract named entities (simplified version)
const entities = [];
const capitalizedWords = sentence.match(/\b[A-Z][a-z]+\b/g) || [];
capitalizedWords.forEach(word => {
if (word.length > 2 && !sentence.startsWith(word)) {
entities.push({
entity: word,
type: 'unknown', // In production, use NER
confidence: 0.6
});
}
});
return entities;
}
analyzeSentiment(sentence) {
// Simple sentiment analysis
const positiveWords = ['good', 'great', 'excellent', 'amazing', 'wonderful', 'love', 'best'];
const negativeWords = ['bad', 'terrible', 'awful', 'hate', 'worst', 'horrible'];
const words = sentence.toLowerCase().split(/\s+/);
let positiveCount = 0;
let negativeCount = 0;
words.forEach(word => {
if (positiveWords.includes(word)) positiveCount++;
if (negativeWords.includes(word)) negativeCount++;
});
const sentiment = positiveCount > negativeCount ? 'positive' :
negativeCount > positiveCount ? 'negative' : 'neutral';
return {
sentiment: sentiment,
confidence: Math.abs(positiveCount - negativeCount) / words.length,
positiveSignals: positiveCount,
negativeSignals: negativeCount
};
}
generateAePiotPrompt(sentence) {
// Generate intelligent aéPiot exploration prompts
const prompts = [
`Can you explain this sentence in more detail: "${sentence}"`,
`What are the deeper implications of: "${sentence}"`,
`How might this sentence be interpreted in 50 years: "${sentence}"`,
`What cultural contexts influence: "${sentence}"`,
`What knowledge domains connect to: "${sentence}"`
];
const selectedPrompt = prompts[Math.floor(Math.random() * prompts.length)];
return {
prompt: selectedPrompt,
aepiotUrl: this.generateAePiotURL('AI-Exploration', selectedPrompt, window.location.href),
shareablePrompt: `🤖 AI Deep Dive: ${selectedPrompt}`
};
}
// =============================
// CROSS-CULTURAL BRIDGE ENGINE
// =============================
async analyzeCulturalContext(content) {
const culturalIndicators = {
language: content.language || this.detectPageLanguage(),
culturalMarkers: [],
contextualFrameworks: [],
translationSuggestions: [],
crossCulturalConnections: []
};
// Identify cultural markers in content
const culturalKeywords = {
'en': ['democracy', 'freedom', 'individual', 'privacy'],
'es': ['familia', 'comunidad', 'tradición', 'respeto'],
'fr': ['liberté', 'égalité', 'fraternité', 'culture'],
'de': ['ordnung', 'effizienz', 'gründlichkeit', 'gemeinschaft'],
'ja': ['和', '礼', '集団', '改善'],
'zh': ['和谐', '平衡', '集体', '面子']
};
const detectedLanguage = culturalIndicators.language;
const keywords = culturalKeywords[detectedLanguage] || [];
keywords.forEach(keyword => {
if (content.text && content.text.toLowerCase().includes(keyword.toLowerCase())) {
culturalIndicators.culturalMarkers.push({
marker: keyword,
language: detectedLanguage,
context: 'cultural_value',
significance: 'high'
});
}
});
return culturalIndicators;
}
async generateCrossLinguisticConnections(semanticAnalysis) {
const connections = [];
// Generate connections to other languages and cultures
const supportedLanguages = ['en', 'es', 'fr', 'de', 'ja', 'zh', 'ro', 'it'];
const currentLanguage = semanticAnalysis.language;
for (let targetLanguage of supportedLanguages) {
if (targetLanguage !== currentLanguage) {
const connection = {
fromLanguage: currentLanguage,
toLanguage: targetLanguage,
aepiotUrl: this.generateMultilingualAePiotURL(
semanticAnalysis.keyTopics[0]?.topic || 'cross-cultural-exploration',
targetLanguage
),
culturalContext: `Explore this topic through ${targetLanguage} cultural lens`,
shareText: `🌍 Cross-Cultural Exploration: ${semanticAnalysis.keyTopics[0]?.topic || 'Content'} in ${targetLanguage}`
};
connections.push(connection);
}
}
return connections;
}
// =============================
// KNOWLEDGE NETWORK MAPPER
// =============================
async discoverKnowledgeConnections(semanticAnalysis) {
const connections = [];
const keyTopics = semanticAnalysis.keyTopics || [];
for (let topic of keyTopics.slice(0, 10)) {
// Create connections to related aéPiot content
const relatedConnections = await this.findRelatedAePiotContent(topic.topic);
connections.push(...relatedConnections);
// Generate exploratory questions
const exploratoryQuestions = this.generateExploratoryQuestions(topic.topic);
connections.push(...exploratoryQuestions);
}
return connections;
}
async findRelatedAePiotContent(topic) {
const connections = [];
// Generate aéPiot URLs for related content exploration
const relatedSearches = [
`${topic} advanced research`,
`${topic} future trends`,
`${topic} cross-cultural perspectives`,
`${topic} expert analysis`,
`${topic} case studies`
];
relatedSearches.forEach(search => {
connections.push({
type: 'related_content',
topic: topic,
searchQuery: search,
aepiotUrl: this.generateAePiotURL(search, `Related to: ${topic}`, window.location.href),
description: `Explore ${search} on aéPiot`,
relevanceScore: 0.8
});
});
return connections;
}
generateExploratoryQuestions(topic) {
const questionTemplates = [
`What are the future implications of ${topic}?`,
`How does ${topic} vary across different cultures?`,
`What are the ethical considerations around ${topic}?`,
`How has ${topic} evolved over time?`,
`What interdisciplinary connections exist with ${topic}?`
];
return questionTemplates.map(question => ({
type: 'exploratory_question',
topic: topic,
question: question,
aepiotUrl: this.generateAePiotURL('Deep-Question', question, window.location.href),
aiPrompt: `🤔 Deep Thinking: ${question}`,
category: 'philosophical_exploration'
}));
}
// =============================
// INTERACTIVE LEARNING SYSTEM
// =============================
setupInteractionTracking() {
this.trackSemanticInteractions();
this.setupFeedbackSystem();
this.initializeLearningLoop();
}
trackSemanticInteractions() {
document.addEventListener('click', (event) => {
if (event.target.classList.contains('semantic-bridge-element')) {
this.recordInteraction({
type: 'click',
element: event.target.dataset.semanticType,
content: event.target.textContent,
timestamp: new Date().toISOString()
});
}
});
// Track time spent on semantic insights
let startTime = Date.now();
window.addEventListener('beforeunload', () => {
this.recordInteraction({
type: 'session_end',
duration: Date.now() - startTime,
timestamp: new Date().toISOString()
});
});
}
recordInteraction(interaction) {
this.userInteractions.push(interaction);
// Send to aéPiot for learning purposes
this.logToAePiot('user_interaction', interaction);
}
// =============================
// RENDERING & USER INTERFACE
// =============================
renderSemanticInsights(semanticAnalysis, culturalContext, knowledgeConnections) {
this.createSemanticBridgeUI();
this.renderContentAnalysis(semanticAnalysis);
this.renderCulturalInsights(culturalContext);
this.renderKnowledgeNetwork(knowledgeConnections);
this.renderInteractiveElements(semanticAnalysis);
}
createSemanticBridgeUI() {
// Create floating semantic insights panel
const panel = document.createElement('div');
panel.id = 'aepiot-semantic-bridge';
panel.className = 'aepiot-semantic-panel';
panel.innerHTML = `
<div class="semantic-bridge-header">
<h3>🌟 aéPiot Semantic Bridge</h3>
<button class="toggle-btn" onclick="this.parentElement.parentElement.classList.toggle('collapsed')">−</button>
</div>
<div class="semantic-bridge-content">
<div class="insights-container">
<div class="tab-navigation">
<button class="tab-btn active" data-tab="analysis">Analysis</button>
<button class="tab-btn" data-tab="cultural">Cultural</button>
<button class="tab-btn" data-tab="network">Network</button>
<button class="tab-btn" data-tab="explore">Explore</button>
</div>
<div class="tab-content">
<div id="analysis-tab" class="tab-panel active"></div>
<div id="cultural-tab" class="tab-panel"></div>
<div id="network-tab" class="tab-panel"></div>
<div id="explore-tab" class="tab-panel"></div>
</div>
</div>
</div>
`;
// Add styles
this.addSemanticBridgeStyles();
document.body.appendChild(panel);
this.setupTabNavigation();
}
renderContentAnalysis(semanticAnalysis) {
const analysisTab = document.getElementById('analysis-tab');
analysisTab.innerHTML = `
<div class="analysis-overview">
<div class="metric">
<label>Sentences Analyzed</label>
<span>${semanticAnalysis.analyzedSentences}</span>
</div>
<div class="metric">
<label>Overall Sentiment</label>
<span class="sentiment-${semanticAnalysis.overallSentiment?.sentiment || 'neutral'}">
${semanticAnalysis.overallSentiment?.sentiment || 'neutral'}
</span>
</div>
<div class="metric">
<label>Key Topics</label>
<span>${semanticAnalysis.keyTopics?.length || 0}</span>
</div>
</div>
<div class="semantic-elements">
<h4>🔍 Interactive Sentence Analysis</h4>
${semanticAnalysis.semanticElements?.slice(0, 10).map(element => `
<div class="semantic-element" data-hash="${element.hash}">
<div class="sentence-text">"${element.text}"</div>
<div class="analysis-data">
<span class="sentiment-badge sentiment-${element.sentiment.sentiment}">
${element.sentiment.sentiment}
</span>
<span class="complexity-badge">
Complexity: ${element.complexity}
</span>
</div>
<div class="exploration-buttons">
<button onclick="window.open('${element.aepiotPrompt.aepiotUrl}', '_blank')"
class="explore-btn">
🤖 Ask AI
</button>
<button onclick="navigator.share({text: '${element.aepiotPrompt.shareablePrompt}'})"
class="share-btn">
📤 Share
</button>
</div>
</div>
`).join('')}
</div>
`;
}
renderCulturalInsights(culturalContext) {
const culturalTab = document.getElementById('cultural-tab');
culturalTab.innerHTML = `
<div class="cultural-overview">
<div class="language-info">
<h4>🌍 Detected Language: ${culturalContext.language}</h4>
</div>
<div class="cultural-markers">
<h4>🏛️ Cultural Context Markers</h4>
${culturalContext.culturalMarkers?.map(marker => `
<div class="cultural-marker">
<span class="marker-text">${marker.marker}</span>
<span class="marker-significance">${marker.significance}</span>
</div>
`).join('') || '<p>No specific cultural markers detected</p>'}
</div>
<div class="cross-cultural-exploration">
<h4>🌐 Explore Across Cultures</h4>
<div class="language-grid">
${['en', 'es', 'fr', 'de', 'ja', 'zh', 'ro', 'it'].map(lang => `
<button class="language-btn"
onclick="window.open('${this.generateMultilingualAePiotURL('cross-cultural-exploration', lang)}', '_blank')">
🌍 ${lang.toUpperCase()}
</button>
`).join('')}
</div>
</div>
</div>
`;
}
renderKnowledgeNetwork(knowledgeConnections) {
const networkTab = document.getElementById('network-tab');
networkTab.innerHTML = `
<div class="network-overview">
<h4>🔗 Knowledge Network Connections</h4>
<div class="connections-stats">
<span>Total Connections: ${knowledgeConnections.length}</span>
</div>
</div>
<div class="connections-list">
${knowledgeConnections.slice(0, 15).map(connection => `
<div class="connection-item connection-${connection.type}">
<div class="connection-header">
<span class="connection-type">${connection.type}</span>
${connection.relevanceScore ? `<span class="relevance-score">${(connection.relevanceScore * 100).toFixed(0)}%</span>` : ''}
</div>
<div class="connection-content">
${connection.question || connection.searchQuery || connection.description}
</div>
<div class="connection-actions">
<button onclick="window.open('${connection.aepiotUrl}', '_blank')"
class="explore-connection-btn">
🚀 Explore
</button>
</div>
</div>
`).join('')}
</div>
`;
}
// =============================
// AÉPIOT INTEGRATION UTILITIES
// =============================
generateAePiotURL(title, description, sourceUrl) {
const params = new URLSearchParams({
title: title,
description: description,
link: sourceUrl
});
return `${this.config.aepiotDomain}/backlink.html?${params.toString()}`;
}
generateMultilingualAePiotURL(topic, language) {
const title = `Cross-Cultural-${topic}-${language.toUpperCase()}`;
const description = `Exploring ${topic} from ${language} cultural perspective`;
const link = window.location.href;
return this.generateAePiotURL(title, description, link);
}
async logToAePiot(eventType, eventData) {
try {
const logData = {
event_type: eventType,
timestamp: new Date().toISOString(),
page_url: window.location.href,
user_agent: navigator.userAgent,
...eventData
};
const aepiotUrl = this.generateAePiotURL(
`Semantic-Bridge-${eventType}`,
JSON.stringify(logData),
window.location.href
);
// Silent tracking request
fetch(aepiotUrl).catch(() => {});
} catch (error) {
console.error('Failed to log to aéPiot:', error);
}
}
// =============================
// UTILITY FUNCTIONS
// =============================
detectPageLanguage() {
return document.documentElement.lang ||
document.querySelector('meta[http-equiv="content-language"]')?.content ||
navigator.language.substring(0, 2) || 'en';
}
extractPageMetadata() {
return {
title: document.title,
description: document.querySelector('meta[name="description"]')?.content || '',
keywords: document.querySelector('meta[name="keywords"]')?.content || '',
author: document.querySelector('meta[name="author"]')?.content || '',
publishDate: document.querySelector('meta[name="date"]')?.content || '',
url: window.location.href,
domain: window.location.hostname
};
}
generateHash(text) {
// Simple hash function for content identification
let hash = 0;
for (let i = 0; i < text.length; i++) {
const char = text.charCodeAt(i);
hash = ((hash << 5) - hash) + char;
hash = hash & hash; // Convert to 32-bit integer
}
return Math.abs(hash).toString(36);
}
calculateComplexity(sentence) {
const words = sentence.split(' ');
const avgWordLength = words.reduce((sum, word) => sum + word.length, 0) / words.length;
const complexity = Math.min(Math.max((avgWordLength - 3) / 2, 0), 1);
return Math.round(complexity * 10) / 10;
}
extractKeyTopics(semanticElements) {
const topicFrequency = {};
semanticElements.forEach(element => {
element.concepts?.forEach(concept => {
topicFrequency[concept.concept] = (topicFrequency[concept.concept] || 0) + 1;
});
});
return Object.entries(topicFrequency)
.sort(([,a], [,b]) => b - a)
.slice(0, 10)
.map(([topic, frequency]) => ({ topic, frequency }));
}
calculateOverallSentiment(semanticElements) {
if (!semanticElements.length) return { sentiment: 'neutral', confidence: 0 };
const sentiments = semanticElements.map(el => el.sentiment);
const positive = sentiments.filter(s => s.sentiment === 'positive').length;
const negative = sentiments.filter(s => s.sentiment === 'negative').length;
const neutral = sentiments.filter(s => s.sentiment === 'neutral').length;
let overallSentiment = 'neutral';
if (positive > negative && positive > neutral) overallSentiment = 'positive';
else if (negative > positive && negative > neutral) overallSentiment = 'negative';
return {
sentiment: overallSentiment,
confidence: Math.max(positive, negative, neutral) / sentiments.length,
distribution: { positive, negative, neutral }
};
}
addSemanticBridgeStyles() {
const styles = `
<style id="aepiot-semantic-bridge-styles">
#aepiot-semantic-bridge {
position: fixed;
top: 20px;
right: 20px;
width: 400px;
max-height: 80vh;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
border-radius: 16px;
box-shadow: 0 20px 40px rgba(0,0,0,0.1);
z-index: 999999;
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
color: white;
overflow: hidden;
transition: all 0.3s ease;
}
#aepiot-semantic-bridge.collapsed {
height: 60px;
}
.semantic-bridge-header {
padding: 16px;
background: rgba(255,255,255,0.1);
backdrop-filter: blur(10px);
border-bottom: 1px solid rgba(255,255,255,0.1);
display: flex;
justify-content: space-between;
align-items: center;
}
.semantic-bridge-header h3 {
margin: 0;
font-size: 16px;
font-weight: 600;
}
.toggle-btn {
background: none;
border: none;
color: white;
font-size: 24px;
cursor: pointer;
padding: 4px 8px;
border-radius: 4px;
transition: background 0.2s;
}
.toggle-btn:hover {
background: rgba(255,255,255,0.1);
}
.semantic-bridge-content {
max-height: calc(80vh - 60px);
overflow-y: auto;
}
.tab-navigation {
display: flex;
background: rgba(255,255,255,0.05);
}
.tab-btn {
flex: 1;
background: none;
border: none;
color: rgba(255,255,255,0.7);
padding: 12px 8px;
font-size: 12px;
font-weight: 500;
cursor: pointer;
transition: all 0.2s;
}
.tab-btn.active,
.tab-btn:hover {
color: white;
background: rgba(255,255,255,0.1);
}
.tab-content {
padding: 16px;
}
.tab-panel {
display: none;
}
.tab-panel.active {
display: block;
}
.analysis-overview {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 12px;
margin-bottom: 20px;
}
.metric {
background: rgba(255,255,255,0.1);
padding: 12px;
border-radius: 8px;
text-align: center;
}
.metric label {
display: block;
font-size: 11px;
opacity: 0.8;
margin-bottom: 4px;
}
.metric span {
font-size: 16px;
font-weight: 600;
}
.sentiment-positive { color: #4ade80; }
.sentiment-negative { color: #f87171; }
.sentiment-neutral { color: #94a3b8; }
.semantic-elements {
max-height: 400px;
overflow-y: auto;
}
.semantic-element {
background: rgba(255,255,255,0.05);
border-radius: 8px;
padding: 12px;
margin-bottom: 12px;
border-left: 3px solid #4ade80;
transition: all 0.2s;
}
.semantic-element:hover {
background: rgba(255,255,255,0.1);
transform: translateY(-2px);
}
.sentence-text {
font-size: 13px;
line-height: 1.4;
margin-bottom: 8px;
font-style: italic;
}
.analysis-data {
display: flex;
gap: 8px;
margin-bottom: 8px;
}
.sentiment-badge,
.complexity-badge {
font-size: 10px;
padding: 2px 6px;
border-radius: 12px;
background: rgba(255,255,255,0.2);
}
.exploration-buttons {
display: flex;
gap: 8px;
}
.explore-btn,
.share-btn {
background: rgba(255,255,255,0.2);
border: none;
color: white;
padding: 6px 12px;
border-radius: 16px;
font-size: 11px;
cursor: pointer;
transition: all 0.2s;
}
.explore-btn:hover,
.share-btn:hover {
background: rgba(255,255,255,0.3);
transform: scale(1.05);
}
.cultural-overview {
space-y: 16px;
}
.language-info h4,
.cultural-markers h4,
.cross-cultural-exploration h4 {
margin: 0 0 12px 0;
font-size: 14px;
font-weight: 600;
}
.cultural-marker {
display: flex;
justify-content: space-between;
align-items: center;
background: rgba(255,255,255,0.05);
padding: 8px 12px;
border-radius: 6px;
margin-bottom: 6px;
}
.marker-text {
font-weight: 500;
}
.marker-significance {
font-size: 10px;
background: rgba(255,255,255,0.2);
padding: 2px 6px;
border-radius: 8px;
}
.language-grid {
display: grid;
grid-template-columns: repeat(4, 1fr);
gap: 8px;
}
.language-btn {
background: rgba(255,255,255,0.1);
border: none;
color: white;
padding: 8px 4px;
border-radius: 6px;
font-size: 10px;
cursor: pointer;
transition: all 0.2s;
}
.language-btn:hover {
background: rgba(255,255,255,0.2);
transform: translateY(-1px);
}
.network-overview {
margin-bottom: 16px;
}
.connections-stats {
font-size: 12px;
opacity: 0.8;
margin-top: 8px;
}
.connections-list {
max-height: 350px;
overflow-y: auto;
}
.connection-item {
background: rgba(255,255,255,0.05);
border-radius: 8px;
padding: 12px;
margin-bottom: 8px;
border-left: 3px solid;
transition: all 0.2s;
}
.connection-item:hover {
background: rgba(255,255,255,0.1);
transform: translateX(4px);
}
.connection-related_content { border-left-color: #3b82f6; }
.connection-exploratory_question { border-left-color: #8b5cf6; }
.connection-header {
display: flex;
justify-content: space-between;
align-items: center;
margin-bottom: 6px;
}
.connection-type {
font-size: 10px;
background: rgba(255,255,255,0.2);
padding: 2px 6px;
border-radius: 8px;
text-transform: uppercase;
}
.relevance-score {
font-size: 10px;
color: #4ade80;
font-weight: 600;
}
.connection-content {
font-size: 13px;
line-height: 1.3;
margin-bottom: 8px;
}
.explore-connection-btn {
background: linear-gradient(90deg, #3b82f6, #8b5cf6);
border: none;
color: white;
padding: 6px 12px;
border-radius: 12px;
font-size: 11px;
cursor: pointer;
transition: all 0.2s;
}
.explore-connection-btn:hover {
transform: scale(1.05);
box-shadow: 0 4px 8px rgba(0,0,0,0.2);
}
/* Responsive design */
@media (max-width: 500px) {
#aepiot-semantic-bridge {
width: calc(100vw - 40px);
right: 20px;
left: 20px;
}
}
</style>
`;
if (!document.getElementById('aepiot-semantic-bridge-styles')) {
document.head.insertAdjacentHTML('beforeend', styles);
}
}
setupTabNavigation() {
const tabBtns = document.querySelectorAll('.tab-btn');
const tabPanels = document.querySelectorAll('.tab-panel');
tabBtns.forEach(btn => {
btn.addEventListener('click', () => {
const targetTab = btn.dataset.tab;
// Remove active class from all tabs and panels
tabBtns.forEach(b => b.classList.remove('active'));
tabPanels.forEach(p => p.classList.remove('active'));
// Add active class to clicked tab and corresponding panel
btn.classList.add('active');
document.getElementById(`${targetTab}-tab`).classList.add('active');
});
});
}
// =============================
// ADVANCED FEATURES
// =============================
async enableAdvancedFeatures() {
await this.setupSmartContentRecommendations();
await this.initializeCollaborativeLearning();
await this.setupRealTimeSemanticSync();
}
async setupSmartContentRecommendations() {
const recommendations = await this.generateContentRecommendations();
this.renderContentRecommendations(recommendations);
}
async generateContentRecommendations() {
const currentContent = this.extractContentElements();
const semanticProfile = await this.buildSemanticProfile(currentContent);
return [
{
type: 'related_content',
title: 'Explore Related Topics',
items: await this.findRelatedTopics(semanticProfile),
priority: 'high'
},
{
type: 'cross_cultural',
title: 'Cross-Cultural Perspectives',
items: await this.findCrossCulturalContent(semanticProfile),
priority: 'medium'
},
{
type: 'future_exploration',
title: 'Future Implications',
items: await this.generateFutureScenarios(semanticProfile),
priority: 'high'
}
];
}
}
// =============================
// DEPLOYMENT CONFIGURATIONS
// =============================
* WordPress Integration
function integrateWithWordPress() {
// WordPress specific implementation
const wpIntegration = `
// Add to your WordPress theme's functions.php
function enqueue_aepiot_semantic_bridge() {
wp_enqueue_script('aepiot-semantic-bridge',
get_template_directory_uri() . '/js/aepiot-semantic-bridge.js',
array(), '1.0.0', true);
// Localize script for WordPress specific data
wp_localize_script('aepiot-semantic-bridge', 'aepiot_wp_data', array(
'post_id' => get_the_ID(),
'post_type' => get_post_type(),
'categories' => wp_get_post_categories(get_the_ID()),
'tags' => wp_get_post_tags(get_the_ID()),
'author' => get_the_author(),
'publish_date' => get_the_date('c')
));
}
add_action('wp_enqueue_scripts', 'enqueue_aepiot_semantic_bridge');
// Add semantic bridge shortcode
function aepiot_semantic_bridge_shortcode($atts) {
$atts = shortcode_atts(array(
'mode' => 'auto',
'depth' => 'standard',
'cultural' => 'true'
), $atts);
return '<div id="aepiot-semantic-trigger"
data-mode="' . esc_attr($atts['mode']) . '"
data-depth="' . esc_attr($atts['depth']) . '"
data-cultural="' . esc_attr($atts['cultural']) . '"></div>';
}
add_shortcode('aepiot_semantic', 'aepiot_semantic_bridge_shortcode');
`;
return wpIntegration;
}
* React Integration Component
const ReactSemanticBridge = `
import React, { useEffect, useState } from 'react';
const AePiotSemanticBridge = ({
config = {},
contentSelector = 'body',
onAnalysisComplete = null
}) => {
const [semanticData, setSemanticData] = useState(null);
const [isAnalyzing, setIsAnalyzing] = useState(false);
useEffect(() => {
const initializeSemanticBridge = async () => {
setIsAnalyzing(true);
try {
const bridge = new AePiotSemanticBridge({
...config,
contentSelector,
onAnalysisComplete: (data) => {
setSemanticData(data);
setIsAnalyzing(false);
if (onAnalysisComplete) onAnalysisComplete(data);
}
});
await bridge.init();
} catch (error) {
console.error('Semantic Bridge initialization failed:', error);
setIsAnalyzing(false);
}
};
initializeSemanticBridge();
}, [config, contentSelector, onAnalysisComplete]);
return (
<div className="aepiot-semantic-bridge-react">
{isAnalyzing && (
<div className="semantic-loading">
<div className="loading-spinner"></div>
<p>Analyzing semantic content...</p>
</div>
)}
{semanticData && (
<div className="semantic-insights-summary">
<h4>🧠 Content Intelligence</h4>
<div className="insights-grid">
<div className="insight-item">
<span className="label">Sentences</span>
<span className="value">{semanticData.totalSentences}</span>
</div>
<div className="insight-item">
<span className="label">Topics</span>
<span className="value">{semanticData.keyTopics?.length || 0}</span>
</div>
<div className="insight-item">
<span className="label">Sentiment</span>
<span className={\`value sentiment-\${semanticData.sentiment}\`}>
{semanticData.sentiment}
</span>
</div>
</div>
</div>
)}
</div>
);
};
export default AePiotSemanticBridge;
`;
* Node.js/Express Integration
const NodeIntegration = `
const express = require('express');
const cheerio = require('cheerio');
const axios = require('axios');
class AePiotSemanticBridgeServer {
constructor(config = {}) {
this.config = {
aepiotDomain: 'https://aepiot.com',
...config
};
}
async analyzeUrl(url) {
try {
const response = await axios.get(url);
const $ = cheerio.load(response.data);
const content = {
title: $('title').text(),
description: $('meta[name="description"]').attr('content') || '',
headings: [],
paragraphs: [],
language: $('html').attr('lang') || 'en'
};
// Extract headings
$('h1, h2, h3, h4, h5, h6').each((i, elem) => {
content.headings.push({
level: elem.tagName,
text: $(elem).text().trim()
});
});
// Extract paragraphs
$('p').each((i, elem) => {
const text = $(elem).text().trim();
if (text.length > 20) {
content.paragraphs.push(text);
}
});
return await this.performSemanticAnalysis(content, url);
} catch (error) {
throw new Error(\`Failed to analyze URL: \${error.message}\`);
}
}
async performSemanticAnalysis(content, sourceUrl) {
// Server-side semantic analysis implementation
const analysis = {
url: sourceUrl,
timestamp: new Date().toISOString(),
language: content.language,
semanticElements: [],
aepiotIntegration: {
trackingUrls: [],
semanticConnections: []
}
};
// Process content and generate aéPiot connections
for (let paragraph of content.paragraphs.slice(0, 20)) {
const sentences = paragraph.match(/[^\.!?]+[\.!?]+/g) || [];
for (let sentence of sentences) {
if (sentence.length > 15) {
const semanticElement = {
text: sentence.trim(),
concepts: await this.extractConcepts(sentence),
aepiotUrl: this.generateAePiotURL(
'Semantic-Analysis',
sentence.trim(),
sourceUrl
)
};
analysis.semanticElements.push(semanticElement);
analysis.aepiotIntegration.trackingUrls.push(semanticElement.aepiotUrl);
}
}
}
return analysis;
}
generateAePiotURL(title, description, sourceUrl) {
const params = new URLSearchParams({
title: title,
description: description,
link: sourceUrl
});
return \`\${this.config.aepiotDomain}/backlink.html?\${params.toString()}\`;
}
async extractConcepts(text) {
// Simplified concept extraction for server-side
const concepts = [];
const conceptKeywords = [
'technology', 'innovation', 'business', 'education',
'health', 'environment', 'culture', 'society'
];
const words = text.toLowerCase().split(/\s+/);
conceptKeywords.forEach(concept => {
if (words.includes(concept)) {
concepts.push({ concept, confidence: 0.8 });
}
});
return concepts;
}
}
// Express.js API endpoints
const app = express();
const semanticBridge = new AePiotSemanticBridgeServer();
app.use(express.json());
app.post('/api/semantic-analysis', async (req, res) => {
try {
const { url, content } = req.body;
let analysis;
if (url) {
analysis = await semanticBridge.analyzeUrl(url);
} else if (content) {
analysis = await semanticBridge.performSemanticAnalysis(content, 'direct-content');
} else {
return res.status(400).json({ error: 'URL or content required' });
}
res.json({
success: true,
analysis: analysis,
aepiotIntegration: analysis.aepiotIntegration
});
} catch (error) {
res.status(500).json({
success: false,
error: error.message
});
}
});
app.get('/api/semantic-health', (req, res) => {
res.json({
status: 'operational',
timestamp: new Date().toISOString(),
features: ['semantic-analysis', 'aepiot-integration', 'cross-cultural-support']
});
});
module.exports = { AePiotSemanticBridgeServer, app };
`;
// =============================
// COMPLETE USAGE GUIDE
// =============================
## 📖 Complete Implementation Guide
### 🚀 Quick Start (5 Minutes)
**Step 1: Add the Core Script**
```html
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>Your Website</title>
</head>
<body>
<!-- Your content here -->
<!-- Add before closing body tag -->
<script src="path/to/aepiot-semantic-bridge.js"></script>
<script>
// Initialize with default settings
const semanticBridge = new AePiotSemanticBridge({
autoAnalyze: true,
semanticDepth: 'standard',
crossCulturalMode: true
});
</script>
</body>
</html>
