Profile of TEIRESIAS
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چکیده
Brief Summary TEIRESIAS is a program designed to function as an assistant to a domain expert in the task of building large knowledge bases. TEIRESIAS facilitates the interactive transfer of knowledge from a human expert to the knowledge base of a performance program (MYCIN), in a high level dialog conducted in a restricted subset of natural language. By using this high level dialog, the expert need have no knowledge of programming – all programming is performed by TEIRESIAS.
منابع مشابه
An efficient, versatile and scalable pattern growth approach to mine frequent patterns in unaligned protein sequences
MOTIVATION Pattern discovery in protein sequences is often based on multiple sequence alignments (MSA). The procedure can be computationally intensive and often requires manual adjustment, which may be particularly difficult for a set of deviating sequences. In contrast, two algorithms, PRATT2 (http//www.ebi.ac.uk/pratt/) and TEIRESIAS (http://cbcsrv.watson.ibm.com/) are used to directly identi...
متن کاملAn Intrusion-Detection System Based on the Teiresias Pattern- Discovery Algorithm
This paper addresses the problem of creating a pattern table that can be used to model the normal behavior of a given process. The model can be used for intrusiondetection purposes. So far, most of the approaches proposed have been based on fixed-length patterns, although variable-length patterns seem to be more naturally suited to model the normal process behavior. We have developed a novel te...
متن کاملPattern Discovery in Named Organization Corpus
This paper presents how to mine formulation rules from a named organization corpus. The TEIRESIAS algorithm, which is widely used in bioinformatics domain, is adopted. The experimental results based on MET2 test bed show that the approach of regarding the morpheme of a keyword as a cluster is the best, the approach of regarding all the keywords as the same cluster is the next, and the approach ...
متن کاملAlgorithms for Motif Search
University of Connecticut 1.1 Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1-1 1.2 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1-1 1.3 Algorithms for Planted Motif Search . . . . . . . . . . . . . . . 1-2 A Probabilistic Analysis • The WINNOWER and SP-STAR Algorithms • Pattern Br...
متن کاملYeast two-hybrid junk sequences contain selected linear motifs
Yeast two-hybrid (Y2H) screenings result in identification of many out-of-frame (OOF) clones that code for short (2-100 amino acids) peptides with no sequence homology to known proteins. We hypothesize that these peptides can reveal common short linear motifs (SLiMs) responsible for their selection. We present a new protocol to address this issue, using an existing SLIM detector (TEIRESIAS) as ...
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تاریخ انتشار 2002