Using DCOM to support interoperability in forest ecosystem management decision support systems

Forest ecosystems exhibit complex dynamics over time and space. Management of forest ecosystems involves the need to forecast future states of complex systems that are often undergoing structural changes. This in turn requires integration of quantitative science and engineering components with socio-political, regulatory, and economic considerations. The amount of data, information and knowledge involved in the management process is often overwhelming. Integrated decision support systems may help managers make consistently good decisions concerning forest ecosystem management. Integrating computer systems using a system-specific or custom approach has many disadvantages. We compare a variety of current approaches, suggest characteristics that an approach should have, and propose that the Distributed Component Object Model is an approach that is very suitable for forest ecosystem decision support system integration.

[1]  Timothy W. Finin,et al.  Evaluation of KQML as an Agent Communication Language , 1995, ATAL.

[2]  C. D. Bevins,et al.  Simulating coarse-scale vegetation dynamics using the Columbia River Basin succession model-crbsum. Forest Service general technical report , 1996 .

[3]  Mark J. Twery,et al.  Decision support systems for ecosystem management: An evaluation of existing systems , 1997 .

[4]  Ralph Johnson,et al.  design patterns elements of reusable object oriented software , 2019 .

[5]  Terry Anthony Byrd,et al.  Extending decision support systems: The integration of data, knowledge, and model management , 1992, Ann. Oper. Res..

[6]  H. M. Rauscher,et al.  A practical decision-analysis process for forest ecosystem management. , 2000 .

[7]  Frank Manola Interoperability issues in large-scale distributed object systems , 1995, CSUR.

[8]  Timothy W. Finin,et al.  KQML as an agent communication language , 1994, CIKM '94.

[9]  Arne Koschel,et al.  Active information delivery in a CORBA-based distributed information system , 1996, Proceedings First IFCIS International Conference on Cooperative Information Systems.

[10]  Amit P. Sheth,et al.  Changing Focus on Interoperability in Information Systems:From System, Syntax, Structure to Semantics , 1999 .

[11]  Jeremy S. Wilson,et al.  Landscape Management System User's Manual , 1999 .

[12]  John A. Miller,et al.  A Hyper-Semantic Approach to Intelligent Information Systems , 1994 .

[13]  Richard Grimes,et al.  Professional Dcom Programming , 1997 .

[14]  Charlie Kindel,et al.  Distributed Component Object Model Protocol -- DCOM/1.0 , 1998 .

[15]  Patrick Brézillon,et al.  Lecture Notes in Artificial Intelligence , 1999 .

[16]  Jeffrey L. Moffett,et al.  Landscape management through integration of existing tools and emerging technologies , 1998 .

[17]  H. M. Rauscher Ecosystem management decision support for federal forests in the United States: a review , 1999 .

[18]  Samuel Webb Williams,et al.  The Component Object Model: A Technical Overview , 1994 .

[19]  Peter C. Lockemann,et al.  The Network as a Global Database: Challenges of Interoperability, Proactivity, Interactiveness, Legacy , 1997, VLDB.

[20]  Mark Roy,et al.  Understanding CORBA - common object request broker architecture , 1995 .

[21]  Tim Finin,et al.  Using KQML as an agent communication language , 1994, CIKM 1994.

[22]  Brian L. Meek Programming languages: towards greater commonality , 1994, SIGP.

[23]  S. Jørgensen Handbook of Environmental and Ecological Modeling , 1995 .

[24]  Michael R. Genesereth,et al.  Software agents , 1994, CACM.

[25]  Frank E. Redmond Dcom: Microsoft Distributed Component Object Model , 1997 .

[26]  Peter C. Lockemann,et al.  WWW-UDK: a web-based environmental meta-information system , 1997, SGMD.

[27]  Sandra Heiler,et al.  Semantic interoperability , 1995, CSUR.

[28]  Mika Leppinen,et al.  Java- and CORBA-Based Network Management , 1997, Computer.