Managing Temporal Knowledge in Port Management Systems
AbstractLarge ports need to deal with a number of disparate activities:the movement of ships, containers and other cargo, theloading and unloading of ships and containers, customs activities.As well as human resources, anchorages, channels, lighters,tugs, berths, warehouse and other storage spaces have to beallocated and released. The efficient management of a port involvesmanaging these activities and resources, managing theflows of money involved between the agents providing and usingthese resources, and providing management information.Many information systems will be involved.Many applications have to deal with a large amount of datawhich not only represent the perceived state of the real world atpresent, but also past and/or future states. These applicationsare not served adequately by today's computer managementand database systems. In particular, deletions and updates insuch systems have destructive semantics. This means that previousdatabase contents (representing previous perceived statesof the real world) cannot be accessed anymore.A review of how define temporal data models, based ongeneralizing a non-temporal data model in to a temporal one toimprove port management is presented. This paper describes apractical experiment which supports managing temporal dataalong with the corresponding prototype implementations.
M. Baudinet, J, Chomicki, P. Wolper, Temporal Deductive
M. Baudinet, M. Niezettte, P. Wolper, On the Representation
of Infinite Temporal Data and Queries. Proc. lOth,
ACM PODS, 280-290, 1991.
M. H. Bohlen, Managing Temporal Knowledge in Deductive
Databases, A dissertation submitted to the Swiss
Federal Instituote f Technology Zurich, Department
Informatik, pages 27-4, 9ETH Zurich, 1994.
M. H Bohlen and C. S. J ens en, A Seamless Integration of
Time into SQL, ACM Transactions on Database Systems,
J. Chomicki, Temporal Qery Language, A Survey, 12.
ACM PODS, 1993.
J. Chomicki. Temporal deductive databases, In A. Tanse!,
J. Clifford, S. Gadia, S. Jagodia, A. Segev, and R.
Snodgrass, editors, Temporal Databases: Theory, Design
and Implementation, pages 294-320, Benja Min/Cummings,
A. Steiner, A Generalization Approach To Temporal
Data Mode/And Their Implementations, Ph. D. Thesis,
ETH Zurich, 1997.
R. Snodgrass, I. Ahn, Temporal Databases, IEEE Computer,
, No. 9, Sep. 1986, pp. 35-42
R. Snodgrass, M. Bohlen, C. Jensen and A. Steiner,
Adding Valid Time to SQL/Temporal. ANSI X3H2-96-
-501r2, ISO!IECCJTCl!SC 21/WG 3 DBL-MAD-146r2
R. Snodgrass, M. Bohlen, C. Jensen and A. Steiner.
Adding Transaction Time to SQL!Temporal. ANSI
X3H2-96-501r2, ISO!IECC JTCI!SC 21/WG 3 DBL-
R. Snodgrass, Temporal Database: Status and Research
Directions, SIGMOD RECORD, 1990.
R. Snodgrass, TemporalDatabases, University of North
Carolina at Chapel Hill, 1986.
S. M. Sripada,A logical framework for temporal deductive
databases, Proceedings of the 14th VLDB Conference
Los Angeles, California 1988, pp. 171-182
transportation_ and_ shipment~index.htm
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).