@article {JRN53966,
	title = {Discovering ecologically relevant knowledge from published studies through geosemantic searching},
	journal = {BioScience},
	volume = {63},
	year = {2013},
	month = {08/2013},
	pages = {674-682},
	chapter = {674},
	abstract = {<p>It is easier to search the globe for research on genes of a local plant or animal than to find local field research on that plant{\textquoteright}s ecology.\&nbsp; While internet applications can find the closest coffee shop, it is difficult to find where the nearest relevant research was conducted.\&nbsp; As a result, ecologists are often unaware of published local research, and are unlikely to find relevant studies from similar environments worldwide.\&nbsp; Location information in ecological studies can be harnessed to enable geographic knowledge searches, and could be standardized to make searches more fruitful. To demonstrate this potential, we developed the JournalMap website (http://www.journalmap.org). Easy access to geographic distributions of knowledge opens new possibilities for using ecological research to detect and interpret ecological patterns and trends, evaluate current ecological knowledge, and facilitate knowledge creation. We call on journals and publishers to support standard reporting of study locations in publications and metadata, and we advocate for geo-referencing of past studies.</p>
},
	keywords = {georeferencing, knowledge discovery, metadata, semantic search, spatial distribution},
	doi = {10.1525/bio.2013.63.8.10},
	url = {/files/bibliography/13-038.pdf},
	author = {Jason W. Karl and Jeffrey E. Herrick and Unnasch, Robert S. and Jeffrey K. Gillan and Ellis, Erie and Lutters, Wayne and Martin, Laura}
}
