Semantic Search Index for Portable Terminals

The patent introduces semantic metadata as an intermediary layer between the search query and the stored data indices. This semantic metadata includes semantic entities and semantic relations that mediate the search process, allowing the system to understand the meaning behind queries and retrieve relevant information even when exact keywords are unknown. The semantic metadata acts as a bridge that translates user queries into meaningful search results across multiple data types.

The patent extends the traditional keyword-based search by adding a semantic dimension. Instead of only searching through literal keywords, the system now operates in a multi-dimensional search space that includes semantic entities, semantic relations, and feature metadata. This dimensional expansion allows the search to function effectively in scenarios where exact keyword matching fails, such as when users describe objects indirectly or when dealing with diverse data types.

The patent creates a universal search mechanism that can handle multiple data types (text, image, audio, video) through a single semantic-based approach. The semantic metadata structure serves as a universal index that can be applied across different data formats, allowing the portable terminal to maintain a unified, simple architecture while achieving enhanced search effectiveness. The same semantic indexing mechanism works for searching contacts, messages, media files, and other data types.

The system performs preliminary semantic analysis and metadata generation when data is stored or updated. By pre-processing data to extract semantic entities, relations, and features before the actual search occurs, the system prepares the data in advance for efficient retrieval. This preliminary action reduces the complexity of the search operation itself, allowing fast and effective searching across various data types without requiring complex real-time processing during the search query.

The semantic-based search system provides feedback in the form of relevant search results that reflect the user's intended meaning, even when the query uses imprecise or partial keywords. The system analyzes the semantic content of the query and returns results based on semantic similarity and relations, effectively communicating back to the user what information is most relevant to their query intent. This feedback mechanism helps users refine their search understanding and find accurate results without needing to know the exact terminology.

The patent changes the search parameter from literal keyword matching to semantic meaning matching. Instead of requiring exact keyword correspondence, the system uses semantic entities and relations as the matching criteria. This parameter change allows the search to be more flexible and user-friendly, as it can match queries based on their semantic content rather than requiring precise keyword usage. The system maintains precision by using semantic relations to ensure relevant results while improving ease of operation through keyword flexibility.