Semantic Information Acquisition for Multilingual Keyword Search
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Solution Overview
Problem
Current methods for acquiring semantic information are limited to English words and struggle with updating thesauruses, making it difficult to accurately acquire semantic information for non-English words and failing to classify information by category, leading to incomplete and irrelevant search results.
Innovation Solution
A method and system that utilize text classification and word statistics to search for articles related to a keyword, perform word segmentation, remove stop words, and calculate co-occurrence relationships to provide accurate semantic information, enabling keyword expansion and improved search results by categorizing and prioritizing relevant words.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If WordNet-based methods are used to acquire semantic information, then English word semantic information can be obtained, but the method is only suitable for English words and cannot handle other languages
Solution Approach 1:
The patent creates a universal semantic information acquisition system that works across multiple languages by building language-specific corpora and translation dictionaries. The system can switch between different languages (English, Chinese, Japanese, Korean) by selecting appropriate translation pairs and corpora, making it multi-functional rather than language-specific.
Solution Approach 2:
The patent uses translation dictionaries as intermediaries between different languages. By translating source language articles to target language and using translation pairs as bridges, the system can acquire semantic information across languages without requiring separate systems for each language.
2Measurement precision
If traditional thesauruses are used for semantic information acquisition, then Chinese word semantics can be obtained, but the thesauruses are not updated in time and miss emerging words
Solution Approach 1:
The patent transitions from static thesauruses to dynamic, continuously updated semantic information. By automatically crawling web articles and extracting co-occurrence words in real-time, the system continuously updates its semantic database without manual intervention, capturing emerging words and concepts as they appear online.
Solution Approach 2:
The system performs self-updating by automatically crawling articles, extracting semantic information, and building updated word relationships without requiring manual thesaurus compilation. The automated pipeline continuously refreshes the semantic database using current web data.
3Productivity
If keyword search is performed without semantic analysis, then search speed is fast, but search results are incomplete and contain irrelevant information
Solution Approach 1:
The patent performs preliminary semantic analysis by acquiring semantic information and building co-occurrence word relationships before the actual search. This pre-processing creates an expanded keyword set and semantic understanding that improves search accuracy without significantly impacting search execution speed.
Solution Approach 2:
The patent adds a semantic dimension to traditional keyword search by incorporating co-occurrence words and translation pairs. Instead of searching only for exact keyword matches, the system searches across multiple semantic dimensions including synonyms, translations, and contextually related words, thereby improving result completeness.
Data Source
AI summary
The present invention provides a semantic information acquisition method and system, and corresponding keyword expansion and search methods and systems, comprising: searching for, then classifying an article; then, performing word segmentation according to the classified article to obtain the words in said category, and setting said category and words to serve as the semantic information of the keyword; also, a method and system using the semantic information acquisition method to expand a keyword, and a method and system using keyword expansion to perform a search. The described semantic information acquisition method effectively avoids the technical problems in the prior art of only being able to obtain semantic information of English vocabulary; and it also being impossible to classify semantic information based on category information. The invention is particularly suitable for searching using a keyword, searching a large number of texts, and organizing large amounts of related data and information.