Boris Katz, Sue Felshin, Deniz Yuret, Ali Ibrahim, Jimmy Lin, Gregory Marton, Alton Jerome McFarland, and Baris Temelkuran. 2002. Omnibase: Uniform access to heterogeneous data for question answering. In Proceedings of the 7th International Workshop on Applications of Natural Language to Information Systems (NLDB 2002), June.  Home/Search Document Details and Download
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External Knowledge Sources for Question Answering - Boris Katz Gregory Self-citation (Katz Felshin Marton) (Correct)
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Boris Katz, Sue Felshin, Deniz Yuret, Ali Ibrahim, Jimmy Lin, Gregory Marton, Alton Jerome McFarland, and Baris Temelkuran. 2002. Omnibase: Uniform access to heterogeneous data for question answering. In Proceedings of the 7th International Workshop on Applications of Natural Language to Information Systems (NLDB 2002), June.
Answering Multiple Questions on a Topic from.. - Katz, Bilotti.. (2004) Self-citation (Katz Felshin Lin Marton) (Correct)
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Boris Katz, Sue Felshin, Deniz Yuret, Ali Ibrahim, Jimmy Lin, Gregory Marton, Alton Jerome McFarland, and Baris Temelkuran. 2002. Omnibase: Uniform access to heterogeneous data for question answering. In Proceedings of the 7th International Workshop on Applications of Natural Language to Information Systems (NLDB 2002), June.
Question Answering from the Web Using Knowledge Annotation and.. - Lin, Katz (2003) (3 citations) Self-citation (Katz Lin) (Correct)
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Boris Katz, Sue Felshin, Deniz Yuret, Ali Ibrahim, Jimmy Lin, Gregory Marton, Alton Jerome McFarland, and Baris Temelkuran. Omnibase: Uniform access to heterogeneous data for question answering. In Proceedings of the 7th International Workshop on Applications of Natural Language to Information Systems (NLDB 2002.
An Efficient Representation for Multi-Application Accessible.. - Mcfarland (2002) Self-citation (Mcfarland) (Correct)
....T expression corresponds to the desired information. Once a match has been achieved, START has several methods of actually answering the posed question. Some information is stored natively in START, some might be retrieved from external databases, and some might even be pulled live from the Web. [5] 3.2.2 Native Linguistic Capabilities In addition to their usefulness as an input interface for information retrieval, START s natural language processing capabilities also allow an underlying system to output the relevant information in a user friendly format. Questions like Is John in the ....
....natively for use in question answering. Storing the parsed representation of Jim owns a red car. allows for the answering of several different questions about that statement. To facilitate answering of even more queries, START uses a system for outside information retrieval called Omnibase. [5] The core of Omnibase consists of scripts that, when given an appropriate input, can independently (of START) retrieve information. These scripts are separated into classes, so that, based on the type of question posed to START, an appropriate script may be chosen to find the answer. For instance, ....
Katz, Boris, Sue Felshin, Deniz Yuret, Ali Ibrahim, Jimmy Lin, Gregory Marton, Alton Jerome McFarland, and Baris Temelkuran. Omnibase: Uniform access to heterogeneous Data for question answering. In Proceedings of the 7th International Workshop on Applications of Natural Language to Information Systems (NLBD 2002.
Natural Language Annotations for the Semantic Web - Katz, Lin, Quan (2002) Self-citation (Katz) (Correct)
....weather, maps, demographics, political and economic systems) movies (e.g. titles, actors, directors) people (e.g. birthdates, biographies) dictionary definitions, and much, much more. In order to give Start uniform access to semistructured resources on the Web, we have created Omnibase [8], a virtual database system that integrates a multitude of Web sources under a single query interface. To actually answer user questions, the gap between natural language questions and structured Omnibase queries must be bridged. Natural language annotations serve as the enabling technology that ....
....over three hundred thousand titles Furthermore, because a natural language engine analyzes the questions, simple grammatical alternations would be handled automatically without requiring additional annotations. It is our empirical experience that people ask the same types of questions frequently [11, 8]. Thus, information access schemata are an e#ective way of achieving broad knowledge coverage at reasonable costs. 8TheFuture Much like the development of the Semantic Web itself, early e#orts to integrate natural language technology with the Semantic Web will no doubt be slow and incremental. ....
Boris Katz, Sue Felshin, Deniz Yuret, Ali Ibrahim, Jimmy Lin, Gregory Marton, Alton Jerome McFarland, and Baris Temelkuran. Omnibase: Uniform access to heterogeneous data for question answering. In Proceedings of the 7th International Workshop on Applications of Natural Language to Information Systems (NLDB 2002), 2002.
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