Last Thursday evening TheLadders hosted the latest New York Semantic Web Meetup, a gathering of local technology professionals specializing in various areas of Natural Language Processing, Information Retrieval and Information Extraction. The members are especially focused on issues having to do with markup that enables better extraction and retrieval through entity identification and linking of various types. The so-called “semantic web” community is basically a consortium devoted to data standards suited to various use-cases in industry – for example, we have a special markup for Resume data known as Human Resources eXtensible Markup Language (HRXML). This is arguably a “semantic web” markup despite the fact that it does not represent “linked data” by itself but could certainly enable applications that did. The “semantic” part is really about the inferences that can be drawn through utilizing the linked data.
A big issue in getting search and information retrieval to the “next level” is data normalization. This was a theme throughout the evening of talks and one that is central to improving everything from job matches to expanding triple-stores.
Marco Neumann is the organizer of the group and does an excellent job of gathering attendees and attracting top-notch talent from around the area as speakers. It was a pleasure to host this Meetup and the reviews were some of the best that recent meetups have had. Go Ladders!!!
Click here for the presentation ›
Leslie Barrett is the Senior Search Architect at TheLadders. Leslie has worked making enterprise search software for companies large and small for many years. She holds a Ph.D. from New York University in Computational Linguistics, is a frequent speaker on issues in Search and Sentiment Analysis and is the author of over 20 academic papers on language technology.