ABSTR4CT: By using their knowledge bases, expert database systems can respond to queries that involve high level, complex concepts. However, the answers provided by these systems are composed entirely of low level facts. Recently, researchers have been developing query answer-ing systems that include knowledge in their answers. While the specific goal and approach of each of these individual efforts may be different, all share one common purpose: to extend the functionality of database systems and improve the usefulness of their answers. This paper re-views the state of the art in knowledge-rich responses, and the open problems that still need to be addressed. 1
A knowledge-based question answering (KB-QA) system is one that answers natural language questions w...
The complexity of natural language and the open-domain nature of the World Wide Web have caused mode...
Question Answering (QA) systems are becoming the inspiring model for the future of search engines. W...
Question answering systems that produce “knowledgeable ” answers are highly desirable. As web use an...
The web is awash in textual data. As users struggle to navigate this textual data, the art and scien...
Recent advances in question answering from text have shown that information retrieval, natural langu...
Our long-term research goal is to create systems capable of answering a wide variety of questions, i...
The fast growth of the Semantic Web has unleashed its potentialities, leading to the development of ...
It is well understood and agreed that world knowledge is necessary for many common sense reasoning p...
textKnowledge base systems are brittle when the users of the knowledge base are unfamiliar with its...
Today's paradigm of information search is in the midst of a significant transformation. Question ans...
This paper presents a roadmap of current promising research tracks in question answering with a focu...
In this paper, we propose the framework of knowledge discovery technique for intelligent query answe...
Over the years, a growing number of semantic data repositories have been made available on the web. ...
International audienceThe Semantic Web contains an enormous amount of information in the form of kno...
A knowledge-based question answering (KB-QA) system is one that answers natural language questions w...
The complexity of natural language and the open-domain nature of the World Wide Web have caused mode...
Question Answering (QA) systems are becoming the inspiring model for the future of search engines. W...
Question answering systems that produce “knowledgeable ” answers are highly desirable. As web use an...
The web is awash in textual data. As users struggle to navigate this textual data, the art and scien...
Recent advances in question answering from text have shown that information retrieval, natural langu...
Our long-term research goal is to create systems capable of answering a wide variety of questions, i...
The fast growth of the Semantic Web has unleashed its potentialities, leading to the development of ...
It is well understood and agreed that world knowledge is necessary for many common sense reasoning p...
textKnowledge base systems are brittle when the users of the knowledge base are unfamiliar with its...
Today's paradigm of information search is in the midst of a significant transformation. Question ans...
This paper presents a roadmap of current promising research tracks in question answering with a focu...
In this paper, we propose the framework of knowledge discovery technique for intelligent query answe...
Over the years, a growing number of semantic data repositories have been made available on the web. ...
International audienceThe Semantic Web contains an enormous amount of information in the form of kno...
A knowledge-based question answering (KB-QA) system is one that answers natural language questions w...
The complexity of natural language and the open-domain nature of the World Wide Web have caused mode...
Question Answering (QA) systems are becoming the inspiring model for the future of search engines. W...