%0 Journal Article %1 luhnbisibm %A Luhn, H. P. %D 1958 %J IBM Journal of Research and Development %K BI %N 4 %P 314--319 %T A Business Intelligence System %U http://www.research.ibm.com/journal/rd/024/ibmrd0204H.pdf %V 2 %X An automatic system is being developed to disseminate information to the various sections of any industrial, scientific or government organization. This intelligence system will utilize data-processing machines for auto-abstracting and auto-encoding of documents and for creating interest profiles for each of the äction points" in an organization. Both incoming and internally generated documents are automatically abstracted, characterized by a word pattern, and sent automatically to appropriate action points. This paper shows the flexibility of such a system in identifying known information, in finding who needs to know it and in disseminating it efficiently either in abstract form or as a complete document.

@article{luhnbisibm, abstract = {An automatic system is being developed to disseminate information to the various sections of any industrial, scientific or government organization. This intelligence system will utilize data-processing machines for auto-abstracting and auto-encoding of documents and for creating interest profiles for each of the "action points" in an organization. Both incoming and internally generated documents are automatically abstracted, characterized by a word pattern, and sent automatically to appropriate action points. This paper shows the flexibility of such a system in identifying known information, in finding who needs to know it and in disseminating it efficiently either in abstract form or as a complete document.}, added-at = {2009-08-01T16:35:01.000+0200}, author = {Luhn, H. P.}, biburl = {https://www.bibsonomy.org/bibtex/2b9f9f2a14fcf02a19463d7baaf966f4c/mokukkon}, description = {An automatic system is being developed to disseminate information to the various sections of any industrial, scientific or government organization. This intelligence system will utilize data-processing machines for auto-abstracting and auto-encoding of documents and for creating interest profiles for each of the "action points" in an organization. Both incoming and internally generated documents are automatically abstracted, characterized by a word pattern, and sent automatically to appropriate action points. This paper shows the flexibility of such a system in identifying known information, in finding who needs to know it and in disseminating it efficiently either in abstract form or as a complete document.}, interhash = {2d64760a01ef8a9bce6a4d3669665db9}, intrahash = {b9f9f2a14fcf02a19463d7baaf966f4c}, journal = {IBM Journal of Research and Development}, keywords = {BI}, number = 4, pages = {314--319}, timestamp = {2009-08-01T16:35:01.000+0200}, title = {A Business Intelligence System}, url = {http://www.research.ibm.com/journal/rd/024/ibmrd0204H.pdf}, volume = 2, year = 1958 }