Boris Katz
ABSTRACT
Although vast amounts of information are available electronically today, no effective information access mechanism exists to provide humans with convenient information access. A general, open-domain question answering system is a solution to this problem. We propose an architecture for a collaborative question answering system that contains four primary components: an annotations system for storing knowledge, a ternary expression representation of language, a transformational rule system for handling some complexities of language, and a collaborative mechanism by which ordinary users can contribute new knowledge by teaching the system new information. We have developed a initial prototype, called Webnotator, with which to test these ideas.
- Mark S. Ackerman. 1998. Augmenting organizational memory: A field study of answer garden. ACM Transactions on Information Systems, 16(3):203--224, July. Google Scholar
Digital Library
- Thomas Allen. 1977. Managing the Flow of Technology. MIT Press.Google Scholar
- R. Altmann, M. Bada, X. Chai, M. W. Carillo, R. Chen, and N. Abernethy. 1999. RiboWeb: An ontology-based system for collaborative molecular biology. IEEE Intelligent Systems, 14(5):68--76. Google ScholarDigital Library
- T. Berners-Lee. 1999. Weaving the Web. Harper, New York.Google Scholar
- Jeff Heflin, James Hendler, and Sean Luke. 1999. SHOE: A knowledge representation language for internet applications. Technical Report CS-TR-4078, Institute of Advanced Computer Studies, University of Maryland, College Park.Google Scholar
- Boris Katz. 1990. Using English for indexing and retrieving. In P. H. Winston and S. A. Shellard, editors, Artificial Intelligence at MIT: Expanding Frontiers, volume 1. MIT Press. Google ScholarDigital Library
- Boris Katz. 1997. Annotating the World Wide Web using natural language. In Proceedings of the 5th RIAO Conference on Computer Assisted Information Searching on the Internet (RIAO '97).Google Scholar
- Doug Lenat. 1995. CYC: A large-scale investment in knowledge infrastructure. Communications of the ACM, 38(11):33--38. Google ScholarDigital Library
- Beth Levin. 1993. English Verb Classes and Alternations: A Preliminary Investigation. University of Chicago Press.Google Scholar
- Dekang Lin. 1993. Principled-based parsing without overgeneration. In Proceedings of the 31th Annual Meeting of the Association for Computational Linguistics (ACL'93). Google ScholarDigital Library
- Dekang Lin. 1994. PRINCIPAR---An efficient, broad-coverage, principle-based parser. In Proceedings of the 15th International Conference on Computational Linguistics (COLING '94). Google ScholarDigital Library
- Dekang Lin. 1999. Minipar---a minimalist parser. In Maryland Linguistics Colloquium, University of Maryland, College Park, March 12,.Google Scholar
- Edward Loper. 2000. Applying semantic relation extraction to information retrieval. Master's thesis, Massachusetts Institute of Technology.Google Scholar
- S. Luke, L. Spector, D. Rager, and J. Hendler. 1997. Ontology-based web agents. In Proceedings of the First International Conference on Autonomous Agents. Google ScholarDigital Library
- Philippe Martin and Peter Eklund. 1999. Embedding knowledge in web documents. In Proceedings of the Eighth International World Wide Web Conference. Google ScholarDigital Library
- S. Staab, J. Angele, S. Decker, M. Erdmann, A. Hotho, A. Maedche, H.-P. Schnurr, R. Studer, and Y. Sure. 2000. Semantic community web portals. In Proceedings of the Ninth International World Wide Web Conference. Google ScholarDigital Library
- David G. Stork. 1999. Character and document research in the open mind initiative. In Proceedings of the Fifth International Conference on Document Analysis and Recognition. Google ScholarDigital Library
- David G. Stork. 2000. Open data collection for training intelligent software in the open mind initiative. In Proceedings of the Engineering Intelligent Systems Symposium (EIS '2000).Google Scholar
- M. Grotschel W. Dalitz and J. Lugger. 1997. Information services for mathematics and the internet. In A. Sydow, editor, Proceedings of the 15th IMACS World Congress on Scientific Computation: Modelling and Applied Mathematics. Wissenschaft und Technik Verlag.Google Scholar
Recommendations
SPARQL-QA-v2 system for Knowledge Base Question Answering
AbstractAccessing the large volumes of information available in public knowledge bases might be complicated for those users unfamiliar with formal languages, such as the SPARQL query language and the ontology definition languages. This issue ...
Highlights- NMT-based approach resilient to out-of-vocabulary words for KBQA.
- Combination ...
Information Extraction and Knowledge Acquisition from Texts Using Bilingual Question–Answering
A novel approach is introduced in this paper for the implementation of a question–answering based tool for the extraction of information and knowledge from texts. This effort resulted in the computer implementation of a system answering bilingual ...
Comments