System Summary and Timing
  Organization Name: Computer Technology, Monash University
  List of Run ID's: MONASH

  Construction of Indices, Knowledge Bases, and other Data Structures 

    Methods Used to build Data Structures 

    - Length (in words) of the stopword list: 571  
    - Controlled Vocabulary?: No 
    - Stemming Algorithm: Cornell's modified Lovins              
    - Term Weighting: tf*idf  
    -  Phrase Discovery?:              
    -  Tokenizer?:              

    Statistics on Data Structures built from TREC Text

    - Inverted index           
      - Run ID: MONASH 
      - Total Storage (in MB): 104 
      - Total Computer Time to Build (in hours):2.1  
      - Automatic Process? (If not, number of manual hours): No 
      - Use of Term Positions?: No
      - Only Single Terms Used?: Yes  
    - Clusters           
    - N-grams, Suffix arrays, Signature Files           
    - Knowledge Bases            
      - Use of Manual Labor                  
    - Special Routing Structures           
    - Other Data Structures built from TREC text           

  Query construction

    Automatically Built Queries (Ad-Hoc)

    - Topic Fields Used: description 
    - Average Computer Time to Build Query (in cpu seconds): 0.03 
    - Method used in Query Construction          
      - 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              
      - Heuristic Associations to Add Terms?: no 
      - Expansion of Queries using Previously-Constructed Data Structure?: no
      - Automatic Addition of Boolean Connectors or Proximity Operators?: no 

  Searching

    Search Times

      - Run ID: MONASH  
      - Computer Time to Search (Average per Query, in CPU seconds): 360 

    Machine Searching Methods

      - Probabilistic Model?: yes 
 
    Factors in Ranking

      - Term Frequency?: yes 
      - Inverse Document Frequency?: yes  
      - Document Length?: yes 

    Machine Information

    - Machine Type for TREC Experiment: hyper sparc 
    - Was the Machine Dedicated or Shared: shared 
    - Amount of Hard Disk Storage (in MB): 2 Gb -allocate for trec 
    - Amount of RAM (in MB): 160 
    - Clock Rate of CPU (in MHz): 100 

    System Comparisons 

    - Amount of "Software Engineering" which went into the Development of the 
System: 2 people active in research and development 
    - Given appropriate resources            
      - Could your system run faster?: yes  
      - By how much (estimate)?: 1.5