Author: Peter Karp
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A Protocol for Maintaining Multidatabase Referential Integrity
We propose a network protocol whereby a database administrator can provide information about changes to the identifiers of objects in their database via Internet, to allow other databases to maintain referential integrity.
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HinCyc: A Knowledge Base of the Complete Genome and Metabolic Pathways of H. influenzae
We present a methodology for predicting the metabolic pathways of an organism from its genomic sequence.
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Adapting EcoCyc for Use on the World Wide Web
We have developed a Web server tool, written in Common Lisp, that allows existing graphical user interface applications written using the Common Lisp Interface Manager (CLIM) to hook easily into the WWW.
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Knowledge Representation in the Large
We describe the design and implementation of a storage subsystem that submerges a database management system (DBMS) within a knowledge representation system.
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A vision of database interoperation
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Adapting CLIM Applications for Use on the World Wide Web
We have developed a Web server tool, written in Common Lisp, that allows any existing graphical user interface application written using the Common Lisp Interface Manager (CLIM) to hook easily into the WWW.
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The Generic Frame Protocol
The Generic Frame Protocol (GFP) is an application program interface for accessing knowledge bases stored in frame knowledge representation systems (FRSs).
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A Storage System for Scalable Knowledge Representation
Our research investigates the hypothesis that one can employ an existing database management system (DBMS) as a storage subsystem for an FRS, to provide high-speed access to large, shared KBs.
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Representations of Metabolic Knowledge: Pathways
The chief contributions of the paper are a minimized representation for biochemical pathways called the predecessor list, and inference procedures for converting the predecessor list into a pathway-graph representation that can serve as input to a pathway-drawing algorithm.
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Automated Drawing of Metabolic Pathways
This paper presents algorithms for drawing metabolic pathways by dynamically querying the underlying knowledge base.
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Representing, Analyzing, and Synthesizing Biochemical Pathways
This article describes challenges and opportunities for addressing computational problems in the metabolism with techniques from knowledge representation, planning, integration of heterogeneous databases, qualitative reasoning, knowledge acquisition, and machine learning.
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Frame Representation and Relational Data Bases: Alternative Information-Management Technologies for Systematics