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Techniques for managing files in a computer system are provided. According to one technique, an association is established between a type of file system operation, a file, and an interested entity. It is detected when that type of file system operation is performed on the file. In response to detect

Techniques for managing files in a computer system are provided. According to one technique, an association is established between a type of file system operation, a file, and an interested entity. It is detected when that type of file system operation is performed on the file. In response to detecting that that type of file system operation is performed on the file, a message is sent to the interested entity.

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Techniques for managing files in a computer system are provided. According to one technique, an association is established between a type of file system operation, a file, and an interested entity. It is detected when that type of file system operation is performed on the file. In response to detect

Techniques for managing files in a computer system are provided. According to one technique, an association is established between a type of file system operation, a file, and an interested entity. It is detected when that type of file system operation is performed on the file. In response to detecting that that type of file system operation is performed on the file, a message is sent to the interested entity. rm frequency function Γ is a logarithmic function. 10. The method of claim 7 wherein the bases α and β are selected so that each factor of the formula contributes equally on average to the weight. 11. The method of claim 1 wherein the combining is a logarithmic function of a phrase frequency for the document normalized by the estimated total phrase frequency divided by a logarithm of the number of the plurality of documents divided by the estimated document frequency for the phrase. 12. The method of claim 1 including estimating the number of documents that contain each component term by multiplying the number of the plurality of documents by the document probability of the phrase, the document probability of the phrase being a probability that a document contains each component term. 13. The method of claim 12 wherein the document probability of a phrase is a product of the document probabilities of each component term, the document probability of a component term being a probability that a document contains that component term. 14. The method of claim 13 wherein the document probability of a component term is the document frequency of that term divided by the number of the plurality of documents, the document frequency of a term being the number of the plurality of the documents that contain that term. 15. A method in a computer system for estimating a document frequency of a phrase, the document frequency indicating a number of documents of a plurality of documents that contains the phrase, each document having terms, each term having a term frequency for each document, the term frequency for a term indicating a number of occurrences of that term within the document, the phrase having component terms, the method comprising: estimating a phrase probability for the phrase, the estimated phrase probability being an estimation of the probability that any phrase in documents that contain each component term of the phrase is the phrase, the estimated phrase probability being derived from the term frequencies of the component terms; and multiplying the estimated phrase probability by a number of documents that contain each component term to estimate the document frequency. 16. The method of claim 15 wherein the estimated phrase probability is the product of term probabilities for each component term, the term probability of a component term being the average term frequency for that component term per document that contains that term divided by the average number of terms per document. 17. The method of claim 16 wherein the average number of terms per document is calculated by dividing a total of the term frequencies by the number of the plurality of documents. 18. The method of claim 15 wherein the number of documents that contain each component term is estimated by multiplying the number of the plurality of documents by an estimated document probability of the phrase, the estimated document probability of the phrase being a probability that a document contains each component term of the phrase. 19. The method of claim 18 wherein the estimated document probability of the phrase is a product of document probabilities for each component term. 20. The method of claim 19 wherein the document probability of each component term is the document frequency of the component term divided by the number of the plurality of documents. 21. A method in a computer system for estimating a total phrase frequency of a phrase, the total phrase frequency indicating a total number of occurrences of the phrase within a plurality of documents, each document having terms, each term having a term frequency for each document, the term frequency for a term indicating a number of occurrences of that term within the document, the phrase having component terms, the method comprising: estimating a phrase probability for the phrase, the estimated phrase probability being an estimation of the probability that any phrase in documents that contain each co