Questioning Answering By Pattern Matching, Web-Proofing, Semantic Form Proofing
نویسندگان
چکیده
In this paper, we introduce the University at Albany’s question answering system, ILQUA. It is developed on the following methods: pattern matching over annotated text, web-proofing and semantic form proofing. These methods are currently used in other QA systems, however, we revised them to work together in our QA system.
منابع مشابه
Reasoning and Proofing Services for Semantic Web Agents
The Semantic Web aims to offer an interoperable environment that will allow users to safely delegate complex actions to intelligent agents. Much work has been done for agents' interoperability; especially in the areas of ontology-based metadata and rule-based reasoning. Nevertheless, the SW proof layer has been neglected so far, although it is vital for agents and humans to understand how a res...
متن کاملProofing: Efficient SSA-based Java Verification
Verification is essential for assuring the integrity of a Java virtual machine when executing untrusted code. Existing verifiers decide whether or not a given bytecode program is safe. In contrast, we introduce the concept of proofing. Proofing does not change the semantics of programs that would have passed the original bytecode verifier. For programs that would have failed verification, our a...
متن کاملH Function based Tamper-proofing Software Watermarking Scheme
A novel constant tamper-proofing software watermark technique based on H encryption function is presented. First we split the watermark into smaller pieces before encoding them using CLOC scheme. With the watermark pieces, a many-to-one function (H function) as the decoding function is constructed in order to avoid the pattern-matching or reverse engineering attack. The results of the function ...
متن کاملExtending a Multi-agent Reasoning Interoperability Framework with Services for the Semantic Web Logic and Proof Layers
The ultimate vision of the Semantic Web (SW) is to offer an interoperable and information-rich web environment that will allow users to safely delegate complex actions to intelligent agents. Much work has been done for agents' interoperability; a plethora of proposals and standards for ontologybased metadata and rule-based reasoning are already widely used. Nevertheless, the SW proof layer has ...
متن کاملThe fuzzy mapping aggregation operator based on rimer and its application
A fuzzy mapping aggregation operator based on RIMER and its application in Chinese word semantic proofing system for special domain are discussed deeply in this paper. Firstly, the fuzzy mapping aggregation operator based on RIMER are introduced and followed by the corresponding fuzzy inference method. Secondly, the collection of the sensitive words and their substitutions and the soft inferenc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003