ecoQuery now features semantic search, a smarter way to find life cycle inventory data that understands what you mean, not just what you type. Users no longer need to recall precise search terms to retrieve the information they need quickly.
ecoQuery now features semantic search, a smarter way to find life cycle inventory data that understands what you mean, not just what you type. Users no longer need to recall precise search terms to retrieve the information they need quickly.
Traditional keyword search matches strings. Previously, if your query did not match the exact terminology in our database, your search would return zero or inaccurate results. Our new semantic search works differently: it interprets the meaning behind your query and finds conceptually relevant results, even when the wording doesn’t match exactly, for example, due to acronyms, abbreviations, and typos.
One example from our database includes searches for “steel”, where semantic search will now recognize concepts like steel production, iron and steel industry, and specific manufacturing processes. With semantic search, your searches will return the closest matching data, enabling you to work faster.
Time spent hunting for the right dataset can slow down or impact the precision of your assessments. Semantic search lowers the barrier to finding exactly what you need, whether you are a seasoned ecoinvent user or exploring the database for the first time. It’s especially useful when working across sectors or in unfamiliar territory.
Semantic search is now live. Log into ecoQuery and search for previously hard-to-locate datasets—like “aluminum recycling” or “biofuel production”—and see how semantic search surfaces relevant datasets instantly.
As always, we would love to hear your feedback. Let us know how semantic search works for you.