
Milan Stankovic
AI researcher and tech founder (PhD, Sorbonne)
milstan
Paris, France
2.9K connections
Joined September 2025
Summary
Founder and product-focused AI leader: Milan co-founded and led S (Spage) and Blindnet, taking research ideas to commercial products. At Sepage he built knowledge-graph-driven recommender systems for travel (Globe Advent), raised public and private funds, grew the company and sold the business; at Blindnet he led product and engineering to build a privacy automation DevKit and managed a remote engineering organization. milstan+2
Academic researcher in Semantic Web and Knowledge Graphs: Milan has a PhD from Sorbonne University and an extensive publication record (60+ publications), including influential work on microposts, linked-data concept recommendation, and expert-finding using linked data. He has organised and co-chaired high-profile workshops/challenges (e.g., Making Sense of Microposts) and served on program committees for A‑level conferences (WWW, ISWC, ESWC). google+2
Bridges research and industry through applied R&D: Milan's work repeatedly combines semantic technologies with product goals (e.g., expert search at Hypios, travel personalization at Spage, privacy automation at Blindnet). He emphasizes pragmatic product metrics (reducing data needs, automating requests, saving time/money) while keeping ties to academic evaluation and community challenges. milstan+1
Mentor, teacher and community organiser: Milan has taught courses (Semantic Web), mentored startup founders (Sorbonne PEPITE), and co-organised recurring community challenges and workshops, demonstrating interest in training the next generation and shaping the research agenda in Web/semantic technologies. milstan+1
Work
Education
Projects
Writing
Convergence entre Web Social et Web S (PhD thesis)
January 1, 2012PhD thesis on intersections between the Social Web and the Semantic Web, applied to innovation via web data and knowledge graphs.
Looking for experts? What can Linked Data do for you?
January 1, 2010Paper exploring the use of linked data and knowledge graphs for expert finding and discovery in open-web scenarios.
Making sense of microposts: Named Entity Extraction & Linking (Microposts challenges)
2013-2015Work and challenge organization around extracting and linking named entities from microposts (short social messages); Milan co-led and co-authored multi-year challenges and associated proceedings.