Text REtrieval Conference (TREC)
|
Organization Name: University of Glasgow | Run ID: uogTB05SQES |
Section 1.0 System Summary and Timing |
---|
Section 1.1 System Information |
Hardware Model Used for TREC Experiment:Scotgrid 70 nodes System Use:SHARED Total Amount of Hard Disk Storage:70.5 Gb Total Amount of RAM:7000 MB Clock Rate of CPU:1 MHz |
Section 1.2 System Comparisons |
Amount of developmental "Software Engineering":NONE List of features that are not present in the system, but would have been beneficial to have: List of features that are present in the system, and impacted its performance, but are not detailed within this form: |
Section 2.0 Construction of Indices, Knowledge Bases, and Other Data Structures |
---|
Length of the stopword list:733 words Type of Stemming:OTHER Controlled Vocabulary:NO Term weighting:YES
Phrase discovery:NO
Type of Spelling Correction:NONE Manually-Indexed Terms:NO Proper Noun Identification:NO Syntactic Parsing:NO Tokenizer:NO Word Sense Disambiguation:NO Other technique:NO Additional comments: |
Section 3.0 Statistics on Data Structures Built from TREC Text |
---|
Section 3.1 First Data Structure |
Structure Type:INVERTED INDEX Type of other data structure used: Brief description of method using other data structure: Total storage used:33 Gb Total computer time to build:N/A hours Automatic process:YES Manual hours required:hours Type of manual labor:NONE Term positions used:NO Only single terms used:YES Concepts (vs. single terms) represented:NO
Type of representation:inverted index Auxilary files used:NO
Additional comments:We used ScotGrid to index the collection. We have no idea how many hours it takes to index as the information is not available to us. |
Section 3.2 Second Data Structure |
Structure Type:OTHER DATA STRUCTURE Type of other data structure used:Direct Index Brief description of method using other data structure:It is used for query expansion Total storage used:33 Gb Total computer time to build:N/A hours Automatic process:YES Manual hours required:hours Type of manual labor:NONE Term positions used:NO Only single terms used:YES Concepts (vs. single terms) represented:NO
Type of representation:direct index Auxilary files used:NO
Additional comments:We used ScotGrid to index the collection. We have no idea how many hours it takes to index as the information is not available to us. |
Section 3.3 Third Data Structure |
Structure Type:NONE Type of other data structure used: Brief description of method using other data structure: Total storage used:Gb Total computer time to build:hours Automatic process: Manual hours required:hours Type of manual labor:NONE Term positions used: Only single terms used: Concepts (vs. single terms) represented:
Type of representation: Auxilary files used:
Additional comments: |
Section 4.0 Data Built from Sources Other than the Input Text |
---|
File type:NONE Domain type:DOMAIN INDEPENDENT Total Storage:Gb Number of Concepts Represented:concepts Type of representation:NONE Automatic or Manual:
Type of Manual Labor used:NONE Additional comments: |
File is:OTHER Total Storage:0.966 Gb Number of Concepts Represented:concepts Type of representation:NONE Additional comments:It is an indexed crawl of the wikipedia domain |
Section 5.0 Computer Searching |
---|
Average computer time to search (per query): 20 CPU seconds |
Times broken down by component(s): |
Section 5.1 Searching Methods |
Vector space model: Probabilistic model: Cluster searching: N-gram matching: Boolean matching: Fuzzy logic: Free text scanning: Neural networks: Conceptual graphic matching: Other:YES Additional comments:The applied model is PLL2 divergence from randomness model plus Bo1 querye expansion model [Amati 2003] with a selective query expansion mechanism. |
Section 5.2 Factors in Ranking |
Term frequency:YES Inverse document frequency:NO Other term weights:NO Semantic closeness:NO Position in document:NO Syntactic clues:NO Proximity of terms:NO Information theoretic weights:YES Document length:YES Percentage of query terms which match:NO N-gram frequency:NO Word specificity:NO Word sense frequency:NO Cluster distance:NO Other:NO Additional comments: |
Section 6.0 Query Construction |
---|
Section 6.1 Automatically Built Queries for Ad-hoc Tasks |
Topic fields used: TITLE Average computer time to build query 0.007 CPU seconds Term weighting (weights based on terms in topics): YES Phrase extraction from topics: NO Syntactic parsing of topics: NO Word sense disambiguation: NO Proper noun identification algorithm: NO Tokenizer: NO Expansion of queries using previously constructed data structures: YES Automatic addition of: NONE |
Section 6.2 Manually Constructed Queries for Ad-hoc Tasks |
Topic fields used: Average time to build query? minutes Type of query builder: OTHER Tool used to build query: NONE Method used in intial query construction? BOOLEAN CONNECTORS Total CPU time for all iterations: seconds Clock time from initial construction of query to completion of final query: minutes Average number of iterations: Average number of documents examined per iteration: Minimum number of iterations: Maximum number of iterations: The end of an iteration is determined by: Automatic term reweighting from relevant documents: Automatic query expansion from relevant documents: Other automatic methods: Manual methods used: |
Disclaimer: Contents of this online document are not necessarily the official views of, nor endorsed by the U.S. Government, the Department of Commerce, or NIST. |