This book includes a plain text version that is designed for high accessibility. To use this version please follow this link.
Digital Magazine and Newspaper Editions: Best Practice Cases
online video. There was some resistance within the newsroom to the video cameras, but
some journalists and editors are embracing the expanded use of video.
Nstein’s Text Mining Engine is helping to keep users on the Web sites longer. It can
automatically generate lists of related stories based on keyword matches and place links
to those stories on Web pages; these can be on the same Web site, or they can cross-
promote other Quebecor Media Web sites.
Quebecor Media’s online strategy will take the company further than just about any
other major North American newspaper chain in unifying online content management.
After the Toronto Sun, the next Web site to be migrated to Nstein will be Le Journal de
Quebec. By the end of 2008, half of the company’s dozen legacy content management
systems should be gone, followed by all but two of them the following year.
Gilbane Group Conclusions
For over a decade, publishers have been experimenting with digital asset management,
web infrastructure, and ways of integrating the two – with limited success. It has
become clear that “one size fits all” DAM implementations don’t work at businesses that
are by their very nature decentralized. It has also become clear that the deep divisions
between the worlds of layout-driven editorial (think RDA or LPG) and content structure
(think scientific journals or college textbooks) will be slow to erode, yet they must erode
in order to make feeds of publishers’ core content to multiple digital distribution
channels feasible.
XML is in some ways antithetical to layout-driven editorial technology, as enabled by
QuarkXPress and Adobe InDesign, yet the two worlds must coexist – not just peacefully
but synergistically. The jury is still out on how best to bridge this gap; some publishers
(like LPG) use outsourced manual labor to do it, while others use automated tools in-
house; and layout technology vendors such as Adobe are working on smoother
integration.
On the other hand, both layout-driven and XML content should – and can – be
accessible in the same repositories, through the same methods. The key to this is not
just putting it all into one database (see “one size fits all” above); it is also metadata.
Publishers now understand the need to support search, discoverability, and
personalization, lest their content get lost in a sea of “free” content online. Metadata
provides the glue that makes this all happen.
Yet metadata creation is the bête noir of many publishers – especially those that don’t
have editorial librarians already on staff (as most news publishers do). The success of
DAM and web content management implementations often hangs on the assumption
that someone is going to create lots of metadata. This is something that most editorial
staffers have neither the time nor the skills to do properly. Hiring incremental staff with
MLS (Master of Library Science) qualifications to maintain taxonomies and oversee
metadata creation helps but is inherently not scalable. Text mining technologies can
help, especially when combined with knowledgeable staff.
29
©2008 Gilbane Group, Inc. http://gilbane.com
Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96  |  Page 97  |  Page 98  |  Page 99  |  Page 100  |  Page 101  |  Page 102  |  Page 103  |  Page 104  |  Page 105  |  Page 106  |  Page 107  |  Page 108  |  Page 109  |  Page 110  |  Page 111  |  Page 112  |  Page 113  |  Page 114  |  Page 115  |  Page 116  |  Page 117  |  Page 118  |  Page 119  |  Page 120  |  Page 121  |  Page 122  |  Page 123  |  Page 124  |  Page 125  |  Page 126  |  Page 127  |  Page 128  |  Page 129  |  Page 130  |  Page 131  |  Page 132  |  Page 133  |  Page 134  |  Page 135