As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
Question-Answering systems enable users to retrieve answers to factual questions from various kinds of knowledge sources, but do not address how to respond cooperatively. We present INK, an initial inquiry system for RDF knowledge graphs that aims to return relevant responses, even when an answer cannot be found. It assembles knowledge relevant to the entities mentioned in the question without translating the input question into a query language. A user study indicates responses are found to be intelligible and relevant. Evaluation of questions with known answers gives high recall of 0.70 averaged on three QA datasets.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.