Senna: An Embeddable Fulltext Search Engine - Senna 組み込み型全文検索ｴﾝｼﾞﾝ

Senna: An Embeddable Fulltext Search Engine - Senna 組み込み型全文検索ｴﾝｼﾞﾝLogin

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Senna: An Embeddable Fulltext Search Engine

English | Japanese Senna is an embeddable fulltext search engine, which you can use in conjunction with various scripting languages and databases. Senna is an inverted index based engine, and combines the best of n-gram indexing and word indexing to achieve fast, precise searches. While senna codebase is rather compact it is scalable enough to handle large amounts of data and queries.

news

2008/02/07 Senna 1.1.1 released !!

Major features

Embeddable

Senna can easily be embbeded into a database, or can be used directly from within programs written in C, ruby, perl, etc. Whereas a majority of search engines are comprised of a data file (the actual text that is being searched) and an inverted index file, senna uses only an inverted index file and delegates the responsibility to store and manage data to the system that Senna is being embedded into (such as a database). This allows Senna to avoid having to duplicate efforts to manage the actual data. Senna is also designed such that no locking is required when performing concurrent read/writes. This greatly reduces the impact on the embedding system's performance

High Accuracy

Senna uses the best breed of word-based index and n-gram index. This means that Senna's indices are relatively small and has a high precision, while at the same time keeping a high recall on the search results. By default Senna stores terms into an inverted index file (word-based index) after performing morphological analysis on the sentences. But by combining a fast, partial match search using a dictionary, Senna is also able to match entries that are usually missed by ordinary word-based index searches.

Incremental Updates

Senna allows i

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