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Base classes for the Cognitive Foundry including generally utilities and linear algebra.
/*
* File: PublicationReference.java
* Authors: Kevin R. Dixon
* Company: Sandia National Laboratories
* Project: Cognitive Foundry
*
* Copyright Jan 11, 2008, Sandia Corporation. Under the terms of Contract
* DE-AC04-94AL85000, there is a non-exclusive license for use of this work by
* or on behalf of the U.S. Government. Export of this program may require a
* license from the United States Government. See CopyrightHistory.txt for
* complete details.
*
*/
package gov.sandia.cognition.annotation;
import java.lang.annotation.Documented;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
/**
* The {@code PublicationReference} annotation describes a reference to a
* publication from a journal, conference, etc. The purpose of this annotation
* is to provide a reference to a publication so that someone would be able to
* find it on the Internet using a search engine; not to automatically produce
* a full bibliography that contains all the data that publishers require.
*
* @author Kevin R. Dixon
* @author Justin Basilico
* @since 2.1
*/
@CodeReview(
reviewer="Kevin R. Dixon",
date="2008-02-08",
changesNeeded=false,
comments="Interface looks fine."
)
@Retention(RetentionPolicy.RUNTIME)
@Documented
public @interface PublicationReference
{
/**
* The full names of the author(s) of the publication. For example,
* {@code { "Kevin R. Dixon", "Justin D. Basilico" }}.
*
* @return
* The full names of the author(s).
*/
String[] author();
/**
* The title of the publication. For example,
* {@code "Cognitive Foundry: How did it become perfect?"}.
*
* @return
* The title of the publication.
*/
String title();
/**
* The type of the publication. For example, Journal, Conference, Book.
*
* @return
* The type of the publication.
* @see PublicationType
*/
PublicationType type();
/**
* The year of publication.
*
* @return
* The year of publication.
*/
int year();
/**
* The title of the larger publication where the article was published.
* For example, {@code "Learning Kernel Classifiers"} or
* {@code "Proceedings of the Twenty-First International Conference on Machine Learning (ICML)"}.
*
* @return
* The title of the larger publication where the article was published.
*/
String publication() default "";
/**
* The pages on which the publication can be found.
* For example, {@code {10, 100}}.
*
* @return
* The range of pages on which the publication can be found.
*/
int[] pages() default 0;
/**
* An optional URL reference where the publication can be found. Defaults
* to {@code ""}.
*
* @return
* A URL where the reference can be found.
*/
String url() default "";
/**
* Optional notes regarding this reference.
*
* @return
* Optional notes regarding this reference.
*/
String[] notes() default "";
}