• Publications
    • Conference Papers
    • Workshop Papers
    • Journal Papers
    • Publicity
    • Books
    • Theses
    • Submitted
  • Professional Activities
  • Teaching
  • About
  • Contact

Edgar Meij

semantic search research ッ

  • Publications
    • Conference Papers
    • Workshop Papers
    • Journal Papers
    • Publicity
    • Books
    • Theses
    • Submitted
  • Professional Activities
  • Teaching
  • About
  • Contact

Research

Some might argue that semantic search is in its infancy. Indeed, when we look at the level of understanding that is involved in modern-day search engines, both on the web and elsewhere, we come to the obvious conclusion that there’s a lot of room for improvement. Most of the time, information objects are retrieved and ordered solely using their textual representation, using little or no knowledge of what it these texts actually mean. My scientific work aims to incorporate this knowledge, e.g., by identifying concepts in queries, tweets, or any other text, and shows that it can be successfully applied to improve information access and retrieval. My work hinges on two things: statistical, bottom-up information access methods and semantic, top-down knowledge. It is where these two come together to form a kind of semantic search where interesting things happen.

Research projects I have been involved with over the years include VL-e, CCCT, and DAESO. CCCT is a collaboration between institutes and groups of several faculties of the University of Amsterdam and the Hogeschool van Amsterdam, which work together on a project basis in the field of content and technology. The aim is to combine the strengths of these groups in research and education in a unique multi-disciplinary setting, and preferably in collaboration with the (creative) industries in and around Amsterdam. DAESO investigated the detection of semantic overlap between Dutch sentences and the exploitation of this knowledge in a range of NLP applications. I also worked on DutchSemCor and LiMoSINe, two projects that center around semantic search, semantic annotations, and semantic information access. Currently, I’m a research scientist at Yahoo Labs where I mainly work on using entities to improve information access in general and the overall user experience in particular.

Edgar Meij logo
Welcome!

This is the website of Edgar Meij. I lead several groups of researchers and engineers at Bloomberg working on knowledge graphs, question answering, information retrieval, machine learning, and more…

Search
Tweets by @edgarmeij
Tags
AIDA Artificial Intelligence CLEF content DBpedia edgar-meij entity-linking-and-retrieval entity-linking-and-retrieval-tutorial entity-linking-tutorial Entity finding Entity linking Information retrieval Knowledge base population Knowledge Graph Language modeling Linking Open Data LOD logo-penerbit-buku-internasional Machine learning meij MeSH Microblogs penerbit-buku-internasional personalized-time-aware-tweets-summarization Query log analysis Query modeling Relevance modeling Semanticizing Semantic linking Semantic query analysis Semantic search Teaching Text mining TREC Blog TREC Genomics TREC KBA TREC Microblog TREC Relevance Feedback TREC Sessions Tutorial Twitter Web services Wikipedia Workflows Workshop
Proudly powered by WordPress | Theme: Doo by ThemeVS.