System Summary and Timing Organization Name: Glasgow University IR group (glair) List of Run ID's: glair4 Construction of Indices, Knowledge Bases, and other Data Structures Methods Used to build Data Structures - Length (in words) of the stopword list: 638 - Controlled Vocabulary?: No - Stemming Algorithm: Porter - Morphological Analysis: No - Term Weighting: tf*idf, document length normalisation - Phrase Discovery?: No - Syntactic Parsing?: No - Word Sense Disambiguation?: No - Heuristic Associations (including short definition)?: No - Spelling Checking (with manual correction)?: No - Spelling Correction?: No - Proper Noun Identification Algorithm?: No - Tokenizer?: No - Manually-Indexed Terms?: No Statistics on Data Structures built from TREC Text - Inverted index - Run ID: glair4 - Total Storage (in MB): 154 - Total Computer Time to Build (in hours): 5 - Automatic Process? (If not, number of manual hours): Yes - 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: DESC - Average Computer Time to Build Query (in cpu seconds): <1 - 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 - Other: No Searching Search Times - Run ID: glair4 - Computer Time to Search (Average per Query, in CPU seconds): *** - Component Times: *** Machine Searching Methods - Vector Space Model?: No - Probabilistic Model?: Yes - Cluster Searching?: No - N-gram Matching?: No - Boolean Matching?: No - Fuzzy Logic?: No - Free Text Scanning?: No - Neural Networks?: No - Conceptual Graph Matching?: No - Other: No Factors in Ranking - Term Frequency?: Yes - Inverse Document Frequency?: Yes - Other Term Weights?: No - Semantic Closeness?: No - Position in Document?: No - Syntactic Clues?: No - Proximity of Terms?: No - Information Theoretic Weights?: No - Document Length?: Yes - Percentage of Query Terms which match?: Yes - N-gram Frequency?: No - Word Specificity?: No - Word Sense Frequency?: No - Cluster Distance?: No - Other: No Machine Information - Machine Type for TREC Experiment: SPARC/20 - Was the Machine Dedicated or Shared: shared - Amount of Hard Disk Storage (in MB): 2 Gb - Amount of RAM (in MB): 96 - Clock Rate of CPU (in MHz): 120 System Comparisons - Amount of "Software Engineering" which went into the Development of the System: Some (give me a unit before I answer) - Given appropriate resources - Could your system run faster?: Yes (bit obvious) - By how much (estimate)?: Lots