Chinese traveling domain knowledge map construction method and system

A technology of domain knowledge and construction method, which is applied in the fields of unstructured text data retrieval, text database clustering/classification, special data processing applications, etc. Problems such as lack of knowledge

Active Publication Date: 2017-05-31
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0004] The existing knowledge map construction methods in Chinese professional fields mainly have the following problems: the construction method of English professional field knowledge map cannot be fully applied to the construction of Chinese professional field knowledge map; the existing professional field knowledge map construction method is difficult to take into account the scale and accuracy of knowledge acquisition,

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  • Chinese traveling domain knowledge map construction method and system
  • Chinese traveling domain knowledge map construction method and system
  • Chinese traveling domain knowledge map construction method and system

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Embodiment

[0057] A method for constructing a knowledge map in the field of Chinese tourism, such as figure 1 shown, including the following steps:

[0058] Step 1. Obtain the corpus for the construction of the knowledge map in the field of tourism

[0059] First, the present invention collects a list of entity entries in the field of tourism from the tourism-related classification of the interactive encyclopedia website, and the classification includes tourism in various provinces of China, China Tourism, 1A scenic area, 2A scenic area, 3A scenic area, 4A scenic area and 5A scenic area, and Define the basic attributes of tourism domain entities and the part of speech of attribute values. The basic attributes defined in this embodiment include: nickname, address, phone number, altitude, level, establishment time, opening time, ticket price, honor, related persons, English name, Chinese name, zip code, land area and famous scenic spots. For each tourism entity entry webpage in the touri...

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Abstract

The invention relates to a traveling domain knowledge map construction method and system, and belongs to the field of Web mining and intelligent information processing. Travelling domain knowledge map construction tasks include an entity attribute knowledge expansion subtask and an entity attribute value fusion subtask. By adopting a mixed entity attribute knowledge expansion method, an entity attribute knowledge expansion algorithm based on a lexical field, supervised learning, pattern matching and search engine questions and answers is integrated. For the entity attribute knowledge expansion subtask, a multi-value attribute value fusion method based on source credibility, a fixed pattern single-value attribute value fusion method based on content credibility and a non-fixed pattern attribute value fusion method based on learning ranking are adopted. The structured travelling domain entity knowledge base is constructed, traveling domain entity attribute and attribute value knowledge is accurately expressed, the traveling domain knowledge obtaining efficiency is improved, and the wide application prospect is achieved.

Description

technical field [0001] The invention relates to the technical fields of Web mining and intelligent information processing, and relates to a method and system for constructing a knowledge map in the field of Chinese tourism. The invention has broad application prospects in the fields of information retrieval, information recommendation, automatic question answering, and the like. Background technique [0002] Knowledge graph (Knowledge Graph) is to use visualization technology or structured way to describe entity and entity relationship knowledge, and provide high-quality knowledge retrieval service for search engine users. Knowledge graph is the prototype of building next-generation search engine, making search more semantic and intelligent. Currently, general knowledge graphs include Google's Knowledge Graph, Microsoft's Satori, Baidu's Zhixin, and Sogou's Zhicube. [0003] Compared with general knowledge graphs, there are fewer studies on the construction of knowledge gra...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/35G06F16/367
Inventor 张春霞徐溥彭飞武嘉玉王树良
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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