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Structured data of natural language interface technology

Author: ZhangWenBin
Tutor: ZhangYu
School: Harbin Institute of Technology
Course: Computer Science and Technology
Keywords: Natural Language Interface Questions and answers Structured Data Semantic Web Ontology
CLC: TP311.13
Type: Master's thesis
Year: 2011
Downloads: 48
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Abstract


Complex information on the Internet today , there is a wide variety of information formats of varying quality . Wherein the structured data is one of many kinds of data for a class of the highest quality , which includes a relational database , the main body , XML database. Internet has been very rich , structured data , and has been growing rapidly , has great value in use. Traditional structured data query methods generally require users are familiar with structured data in a particular formal query language ( such as SQL) as well as the structure of the data , and then according to their own information needs construct queries to search. The structured data in natural language interface allows the user in the form of natural language queries on structured data , do not require the user to be familiar query language and data structure, is a more user-friendly access to information , which greatly improves the structural data ease of use. Therefore, the structured data research natural language interface has a very important practical significance. Meanwhile, the structured data is a natural language interface to structured data on the automatic question answering , and automatic question answering has been a natural language processing and information retrieval spot, so structured data in natural language interfaces also has important research value. Structured data format, corresponding to the natural language interface technology is thus different . This paper focuses on relational databases and the Semantic Web ontology two most common categories of structured data in natural language interface research . For a natural language interface to relational databases , we proposed based on the shortest path and sequence-based annotation in two ways. Shortest way too simple machinery, ineffective. Sequence labeling method is better, but requires a large corpus corpus . Summary natural language interface to relational databases, experimental experience and lessons , we select the Semantic Web ontology of natural language interface to experiment. We propose the Semantic Web ontology based on entity-relationship path search method to get the best results. Experiments show that we are in a relational database and the Semantic Web is built on the body that can achieve better results in natural language interface system . In contrast, the Semantic Web ontology is more suitable as a natural language interface data format.

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