
Explore PhD dissertation overviews by Kalpa Gunaratna and Vipula Rawte, gaining insights into their research and findings.

Explore application integration using Linked Data, a web-based approach that offers improved results compared to traditional methods. Learn about IBM's experiences and their W3C submission.

Explore Python and SPARQL to extract structured knowledge from Wikipedia, creating datasets and corpora for data science projects without traditional web scraping techniques.

Strategies and tools for creating semantically interoperable REST APIs, including contract-first development, RDF processing, and centralized catalogs. Ideal for those with API design experience.

Learn essential storage concepts for SQL Server, including IO basics, best practices, and troubleshooting tips to optimize performance and quickly diagnose issues.

Explore type safety in graph databases, focusing on SPARQL, Gremlin, and custom DSLs for efficient data traversal and error prevention in Scala.

Explore techniques for leveraging Semantic Web technologies using JavaScript, unlocking new possibilities for data integration and intelligent web applications.

Explore data.js, a JavaScript library for managing structured data, including its features, use cases, and applications in offline and remote data handling.

Explore intelligent transport systems using open data from Norwegian roads. Learn to access and utilize APIs for traffic reports, travel times, and more. Discover challenges in developing web-based map solutions.

Explore the evolution of web APIs through linked data, json-ld, and semantic web concepts. Learn about resources, tuples, and graph-based data extraction for more meaningful API interactions.

Explore Datomic's power through a 7-year meal planning project, showcasing its unique features, query capabilities, and integration with Datascript for real-time browser UIs.

Explore key aspects of a PhD dissertation, focusing on research methodologies, data analysis, and presentation techniques for academic success.

Explore Neuro-Symbolic AI's fusion of neural networks and symbolic AI. Learn how AllegroGraph's Knowledge Graph Platform enables complex reasoning and data integration for advanced AI applications.

Explore the fusion of neuro-symbolic AI, knowledge graphs, and large language models. Learn how combining these approaches can enhance AI systems' factual understanding and decision-making capabilities.

Explore Deep Ontological Networks with Prof. Simari, covering framework introduction, Semantic Web concepts, and ontology applications in AI and machine learning.

Inspiring developers to embrace accessibility as a daily practice, focusing on user needs and inclusive design. Explores tools and techniques for building accessible web applications.

Discover how knowledge graphs can revolutionize organizational data management and supercharge AI programs through real-world insights and architectural strategies.

Explore Schema.org implementation in Drupal for enhanced SEO and structured data. Learn best practices and tools for optimizing web content visibility.

Explore JSON:API 1.1's enhancements for Drupal, including extensions, profiles, and @-members, to improve API functionality and integration.

Explore a semantic web approach for fault-tolerant autonomous manufacturing in this thesis defense, focusing on innovative solutions for industry challenges.

Delve into query optimization techniques for graph databases, focusing on join ordering and cardinality estimations in Stardog's architecture, with insights from Pavel Klinov's extensive experience in query engine development.