Study Lemur

To try the sample data

Go to the data directory, run "" which is a self-explanatory shell script that will build an index, run several retrieval algorithms with some sample parameter files, and then evaluate the retrieval performance.


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1. Browsing an index

This example prints out all entries in the term-to-document index and
document-to-term index of a collection with a table of contents (toc)
file named "index-file" built using the basic indexer.

Index *ind;  

ind = IndexManager::openIndex("index-toc-file.key");
// open the index specified by the table-of-content (toc) file "index-toc-file.key"
// IndexManager recognizes the suffix of the toc file (in this case ".key") and uses it to
// infer the actual type of the index to be opened (KeyfileIncIndex).

// first, browse through the term->document index (i.e., the inverted index)

int termID;

// iterate over all possible termID's, the termCountUnique() function
// gives the total count of unique terms, i.e., the vocabulary size.
// Note that the term index 0 is reserved for out-of-vocabulary
// terms, so we start from 1.

for (termID = 1; termID <= ind->termCountUnique(); termID++) {

cout << "term->document index entries for term : "
<< ind->term(termID) << endl;
// The function call term(termID) returns the string form of the term.

// now fetch doc info list for each term, this creates an
// instance of DocInfoList, which needs to be deleted later!
DocInfoList *docList = ind->docInfoList(termID);

// iterate over entries in docList
DocInfo *dEntry;
while (docList->hasMore()) {
dEntry = docList->nextEntry();
// note that nextEntry() does *not* return an instance,
// instead, it passes out a pointer to a local static variable.
// so no "delete" is needed.

// print out this entry
cout << "-> " << dEntry->termCount() << " times in doc "
<< ind->document(dEntry->docID()) << endl;
delete docList; // note that you MUST delete docList!

U can browse the index/document sets by other prog. lang. See below links :


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