Tags: academy of management journal, acoustic models, administrative science, adobe captivate, agriculture databases, alden library, american banker, american demographics, american factfinder, american translators association, bbn technologies, berkana institute, berkman center, beth kanter, harvard university, heating refrigeration, information advisor, km1, marilyn rowland, nonprofit technology,
Information Advisor 2007 Index by Marilyn Rowland
A
Academy of Management Journal, 3:4 Barnes Reports, 1:5
acoustic models, 1:3 Barron's, 3:4
Across the Board, 3:4 Baruch College: Beginners Guide to Business Research,
ADAMS, 5:5 6:3
Administrative Science Quarterly, 3:4 BBN Technologies, 1:3
Adobe Captivate, 6:2 Bel-First, 9:4
Advertising Age, 3:4 Berkana Institute, KM2:3
Adweek, 3:4 Berkman Center for the Internet, Harvard University,
agriculture databases, 4:7 8:4
AIDA, 9:4 Beth Kanter's Screencast on Tagging and Social
Air Conditioning, Heating, & Refrigeration News, 3:4 Bookmarking for the Nonprofit Technology
Alacra Store, 7:1, 7:35 Networks (NTEN), 6:3
Alden Library, Ohio University, 6:3 Beverage Industry, 3:4
Allen, David, KM3:1 Beverage World, 3:4
Allen, Paul, KM4:1 Bianchini, Gina, KM2:1, KM2:4
AMADEUS, 9:4 BizMiner, 1:67, 1:8
American Banker, 3:4 BizWiki screencasting, 6:3
American Demographics, 3:4 Blackshaw, Peter, 4:2
American FactFinder, 4:7, 4:8 BlinkList, KM1:3
American Towns, 12:4 blinkx, 1:2, 1:3
American Translators Association (ATA), 9:8 Blog Friends, Facebook, 11:7
Anderson, Chris, 3:8 Bloglines, 8:3
Andressen, Marc, KM2:1 trend tracking with, 6:5
Andrlik, Todd, 9:6 Bloglines Search
Ask-A-Librarian, Library of Congress, 12:2, 12:3 searching for non-English blogs on, 8:3
Ask.com blog monitoring, 3:8, 4:1
blog searching on, 6:6, 6:7 vendors, 2:4
language filters, 9:2 blogs. See also non-English language blogs
ranking algorithm, 7:7 authority, 7:6
searching for non-English blogs on, 8:3 Dialog and, 3:8
Association of Independent Information Professionals, influential, 7:6
9:8 non-English language, 8:14
ASTREE, 9:4 popularity, 7:6
audio podcasts ranking by influence, 3:1
consumer-generated, 1:13, 1:8 scanning for trends, 6:4
AURELIA, 9:4 use of, 3:6
Austria blog search engines, 6:68
company information, 10:4 for non-English blogs, 8:34
authority ranking, 3:1 use of, 3:6
of blogs, 7:6 blog-sentiment detection vendors, 2:23
Technorati, 7:6, 7:7 Bloomberg, 3:7
Automotive News, 3:4 Blossom, John, 5:1
Autonomy Corp., 1:3 BlueDot, KM1:3
Aviation Week & Space Technology, 3:4 Bluffton Today, 12:4
Axesor Grup Infotel, 9:4 BoardTracker, 4:5
Boeninger, Chad, 6:3
B Bombourg, Nicolas, 7:1
Bonsor, Kevin, 3:7
Babelfish, 8:4, 9:1, 9:2, 9:3
Borugu (Japanese blogs), 8:2
Backfence, 12:4
Boyd, Stowe, KM4:4
banking industry databases, 4:7
Bradley, Bill, 6:4
Barnes, C., & Co., 1:5
Bragadin, Simona Boscolo, 10:5
BrainEKP, KM3:2, KM3:3, KM3:4 Chemical Week, 3:5
BrandTract, 2:5 Chicago Tribune, 12:3
brand usage data, 2:56 China Web2.0 Review, 8:4
Brandweek, 3:4 Chinese-language blogs, 8:1, 8:2
bridge bloggers, 8:4 Chinese Media, Advertising, and Urban Life, 8:4
Bridges, Laurie, KM2:3, KM2:4 CIA Factbook, 4:8
Broadcasting & Cable, 3:4 clustering search engines, 9:6
BroadTracker, 4:3, 4:4 Clusty, 9:6
bulletin boards Coface Euro DB, 9:5
in China, 8:2 Coface Group, 9:5
consumer conversations on, 4:2 Coface Services, 9:5
in Japan, 8:2 Cogenz, KM1:2, KM1:3
Bureau of Economic Analysis, 4:8 collaborative citizen journalism
Bureau of Labor Statistics, 5:4 in Korea, 8:2
Bureau van Dijk (BvD), 9:5 community-based discussion groups, 4:1, 4:2. See also
Business 2.0, 3:4 discussion groups
Business Communications Quarterly, 3:4 company information
business data, 5:14 European databases, 9:45, 10:45
Business Ethics Quarterly, 3:4 conferences
Business History Review, 3:4 finding on Facebook, 10:3, 10:8
business journals Congressional Research Service (CRS), 12:1
online, 3:37, 4:56 Connectbeam, KM1:2, KM1:3
Business Librarians discussion list (BUSLIB-L), 4:7 Conscientious Objections (Postman), 6:5
Business Librarians Ning, KM2:4 consumer complaint sites, 4:2
business news consumer conversations, 4:15
g2, Generate, 5:3 consumer-generated media (CGM), 1:12
Business Reference Section (BRS), Library of Congress, consumer-generated podcasts
12:13, 12:2 searching, 1:13, 1:8
Business Research Orientation, Library of Congress, uses of, 1:12
12:2 "continuous partial attention," 8:7
business research professionals survey, 3:67 conversational media
Business & Society, 3:4 searching, 6:8
Buy-com, 1:2 conversations, key, 6:5
Buzzlogic, 3:23 copyright databases, 5:6
BuzzMetrics, 2:2, 8:3 Core Business Journals, 3:37
Corpora Software, 2:1
C Council of Economic Advisors, 4:8
Cadbury Schweppes, 10:3 country studies databases, 4:8
Calgary Public Library Tutorials, 6:3 Creditreform, 9:5
California Casualty Management, KM3:3, KM3:4 CRISP databases, 5:5
Camlek, Victor, 3:7 Cucumis, 9:8
Camtasia, 6:2 CZSO Albertina Data, 9:5
Canada
French-language news sources, 11:1 D
news, 11:13, 11:8 Dafne Bureau van Dijk, 9:5
newspapers, 10:57 Darragh, Michael, 8:2
Canada.com, 11:8 DASH Bureau van Dijk, 9:5
Canadian Broadcasting Corp. (CBC), 10:5 data mining software, 5:2
Canadian Newspaper Association, 11:8 Datamonitor, 1:67, 7:1
CanWest Interactive, 10:5 DataStar, 9:5
CanWest MediaWorks Publications, 10:5, 11:8 D&B, 3:7
Capital IQ, 8:7 Dealerscope, 3:5
Carlson, Doug, 12:5 Decision Sciences, 3:5
Carpano, Benjamin, 7:12 deep Web, 4:78
CataList, 4:5 Deja.com, 4:2
CDC Wonder, 5:5 del.icio.us, 8:2, 12:5, KM1:2, KM4:4
CEDROM-SNi, 10:7, 11:1 features, KM1:3
Census Bureau, 4:8, 5:6 demographic/population databases, 4:8
Center for the Advanced Study of Language, 9:8 Dialog, 3:6, 3:7
Centers for Disease Control and Prevention, 5:5, 5:6 blogs and, 3:8
Central Business Registry, 9:4 Web 2.0 and, 3:73.8
Central Intelligence Agency, 4:8 DialogClassic Web, 3:7
Cerved Business Information, 9:5 Dialog File 727, 11:3
Chain Store Age, 3:4 DialogLink 5, 3:7
2channel, 8:2 Dialog Newsroom, 3:8
Chemical Market Reporter, 3:4 Diane Bureau van Dijk, 9:5
Diffusion of Innovations (Rogers), 7:6 virtual focus groups, 10:3
Digg, 11:7, 12:5 Facebook Polls, 10:23
digital media, 8:78 Factiva, 3:6, 3:7, 3:8
digital natives, 8:78 features, 11:3
Diigo, KM1:3, KM1:4 sentiment detection, 2:4
discussion groups Factiva Insight, 2:4
as communities, 4:1, 4:2 Factiva Search 2.0 interface, 3:8
monitoring, 4:15 fads, 6:4
searching, 4:45 FAME Bureau van Dijk, 9:5
types of, 4:12 Fannick, Glenn
discussion group search engines, 4:23 interview, 2:4, 2:8
discussion lists, KM2:3 Farsi blogs, 8:1
DKFF/DKEF, 9:5 Fast Company, 3:5
Drew, Bill, KM2:3, KM2:4 Fatality Analysis Reporting System (FARS), 5:6
Dvorak, John, 9:1 Fauntleroy, Mark, 2:5, 2:6
FedBizOpps (Federal Business Opportunities), 5:5
E Federal Deposit Insurance Corp., 4:7
EBSCOhost, 3:3 Federal Financial Institutions Examination Council, 4:7
ECNext, 2:6 Federal Research Bank, 4:8
Economic Census, 4:8 Federal Research Division, Library of Congress, 4:8
economic databases, 4:8 Federal Reserve Archive System for Economic Research
economic indicators, 4:8 (FRASER), 4:8
Economic Report of the President, 4:8 Federal Reserve Board, 4:7
Economist, The (U.K.), 3:5 Federal Reserve Economic Data (FRED), 4:8
Edelman, 8:3 Federal Trade Commission, 5:7
Eden-Harris, Janet, 8:3 Federal Trade Commission: Search, 5:7
EDGAR databases, 4:7 FedStats, 5:7
Eiseman, Jason, 6:2 FedWorld, 5:7
Electronic Business, 3:5 Feedster
employment databases, 5:45 blog searching on, 6:6, 6:7
Endnote bibliographic software, 6:2 Financial Post, 10:5
Energy Citations Database, 5:5 Florin, Fabrice, 11:7, 12:5
energy databases, 5:5 focus groups
EnergyFiles databases, 5:5 on Facebook, 10:3
Engadget, 7:6, 7:7 Footwear News, 3:5
English-language blogs, 8:1 Forbes, 3:5
ENR (Engineering News Record), 3:5 Foreign Trade Statistics, 5:6
Entrez databases, 5:5 Fortune, 3:5
Envirofacts databases, 5:5 FPinfomart, 3:7, 10:57, 11:1, 11:2, 11:8
environment databases, 5:5 access and pricing options, 10:7
Eureka.cc, 11:1 content, 10:56
Euromoney, 3:5 evaluation, 10:7
Euromonitor, 1:67 features, 11:3
European company databases, 9:45, 10:45 media monitoring, 10:67
European Online Information Market 2007 (IRN profiles, 10:7
Research), 9:5 searching, 10:6
Europresse, 11:1 France
executive names, 5:24 company information, 10:4
Exporter Database, 5:6 FreeTranslation, 9:2, 9:3, 9:8
French-language newspapers
F Canada, 11:1, 11:2
friends
Facebook
in Facebook, 10:1, 10:2
Blog Friends, 11:7
in social networks, 5:7, 11:6
finding conferences and events on, 10:3, 10:8
Friends: Social Networking Sites for Engaged Library
finding documents on, 10:2
Services, 10:8
finding information about people, 10:2
Friend Wheel, KM4:4
friends on, 10:1, 10:2
Fulltext Sources Online, 3:3
Google application, 10:8, 11:7
Furl, KM1:4
groups on, 10:2
Fuser, KM4:4
library-oriented research applications, 10:8
for market research, 10:13, 10:8
member-created applications, 10:8 G
network research on, 10:2 g2, Generate, 5:14
profile information, 10:1 Galloway, Matt, 7:7
social graph networking and, 11:67, KM4:4 Gazhoo.com, 10:2
General Services Administration, 5:5
Generation Next, 8:7 I
Gen Y, 8:7
Iberdrola, 8:6
Germany
IBIS Research Services, 1:4
company information, 10:4
IBISWorld, 1:48, 1:67
Getting It Right: A Guide to Buying Translations, 9:8
IBrattleboro, 12:45
Geva, Ran, 4:3
IceRocket
Global Legal Information Network, 5:7
blog searching on, 6:78
Global Voices Online, 8:4, 12:4
identity construction, 8:7
Globe and Mail, The, 10:5, 11:8
IFILM, 1:2
Glover, Jeffrey, 3:1
iLibrarian blog, 10:8
Google, 3:6, 3:7
illuminio, KM4:4
in China, 8:2
import and export databases, 5:6
Facebook application, 10:8, 11:7
Inc., 3:5
language filters, 9:2
Industrial & Labor Relations Review, 3:5
sentiment detection and, 2:23
IndustryWeek, 3:5
social graph searching and, 11:67
influence ranking
translation options, 9:2, 9:3
of blogs, 3:1, 7:6
trend tracking with, 6:5
determining, 3:2
Google Blog Search, 6:67, 7:8, 8:3
on particular topics, 3:2
PageRank, 7:7
relevant inbound links, 3:2
searching for non-English blogs on, 8:3
influencers, 3:2
trend tracking with, 6:5
influential blogs, 7:6
Google Canada, 11:8
influential consumers, 7:6
Google Custom Search Engine, 7:7
INFOLINE, 9:5
Google Groups, 4:2, 4:3, 4:4
Infomart Online, 10:5
Google News, 7:6, 11:8
INFOR (Information Systems and Operational
Google Translate, 9:1, 9:2
Research), 3:5
government procurement databases, 5:5
INFORMA, 7:1
GPO Access Online Resources, 5:7
Information Bridge, The, 5:5
Granader, Rob, 7:1, 7:3
information professionals
Grap, Hannah, 9:3
MySpace and, 5:78
Graydon Nederland, 9:5
screencasting and, 6:2
Greece
information technology (IT)
company information, 10:4
social bookmarking and, KM1:2
Grouper, 1:2
Information Today, Inc., 3:3
groups. See also discussion groups
InfoUSA, 8:5, 8:7
on Facebook, 10:2, 10:3
InfoWorld's Jon Udell: Language Evolution in
Google Groups, 4:2, 4:3, 4:4
del.icio.us, 6:3
Usenet groups, 4:2
innovators, 12:35, 12:8
Yahoo! Groups, 4:3, 4:4, 6:5
Insight, Factiva, 2:4
Grubb, Michael, KM1:4
instant messaging (IM), 5:8
GUBA, 1:2
instructional tutorials
GuideStar, 12:6
screencasting for, 6:2
GuideStar Premium, 12:6, 12:7
Intelligent Agent, 10:3, KM1:4
Gurnett, Barb, KM3:34
Interactive Tariff and Trade DataWeb, 5:6
International Centre for Advanced Communication
H Technology, 9:8
Hao Hao Report, 8:2, 8:4 International Conference on Weblogs and Social Media,
Happi (Household and Personal Products Industry), 3:5 5:7
Harvard University Berkman Center for the Internet, international newspapers, 11:46
8:4 International Trade Administration, 1:5, 5:6
Hayduk, Shelly, KM3:4 Internet Generation (IG), 5:8
heath databases, 5:5 introNetworks, KM4:4
"hive mind," 8:7 Intuitive Manager, The (Bradley), 6:4
Home Mortgage Disclosure Act, 4:7 investment databases, 4:7
Hoover's, 2:67, 3:7 invisible Web
Hotel and Motel Management, 3:5 U.S. government databases, 4:78, 5:47
Household Products Database, 5:5 iQuest, KM4:4
HR Focus, 3:5 Ireland
Hubs and Authorities ranking, 7:7 company information, 10:4
Human Relations, 3:5 IRN Research, 9:5
human translation, 9:4, 9:8 Italian Company Registry, 10:4
ITFF, 9:5
i-together, 11:7
invisible Web databases, 5:6
J Science, Technology & Business Division, 12:12
Japanese language blogs, 8:14 Science and Business Reading Room, 12:2
Jarvis, Jeff, 12:4 Science Reference Section, 12:2
Jones, Harvey, 1:4, 1:6 Web databases, 4:8, 5:7
journalism, collaborative library-oriented research Facebook applications, 10:8
in Korea, 8:2 limited domains
Journalism Net: Canadian Newspapers, 11:8 in sentiment detection, 2:8
Journal of Business Ethics, 3:5 LinkedIn, 5:3, 10:1
Journal of Business Research, 3:5 listservs, 4:2, 4:5
Journal of Consumer Research, 3:5 LiveDoor, 8:2
Journal of Finance, 3:5 LLRX.com, 3:3
Journal of International Business Studies, 4:6 Long Range Planning, 4:6
Journal of Management Information Systems, 4:6 LookSmart, KM1:4
Journal of Marketing Research, 4:6 Loonam, Barbara, 1:3
Journal of Retailing, 4:6 Los Angeles Times, 12:3
Jumpcut, 1:2 L-Soft, 4:2
Jux2 search engine, 9:6
M
K Machine is Us/ing Us, The, 6:3
Kalehoff, Max, 8:3 machine learning, 2:23
Kalorama, 7:1 machine translation
Kanter, Beth, 6:2 rule-based, 9:1, 9:2
Kapor, Mitch, 12:5 statistics-based, 9:12
Kartoo, 9:7 Madsen, Flemming, 7:6
Keller, Ed, 7:6 Magnolia, KM1:3
key conversations, 6:5 Mahalo, 9:7
Kidon Media-Link, 11:8 Majstro Translation Dictionary, 9:3
Kind, Jule L., 6:2 Management Science, 4:6
Kleiner, Jon, 7:7 Manta, 2:67
knowledge networking, KM4:12 Manufacturing and Services, International Trade
Kontrib, 9:34 Administration, 1:5
Korean blobs, 8:23 MapPoint CD, 2:5
Krasowska, Francine, 1:5 Marcu, Daniel, 9:3
Kremer, Ted, 2:23 market data
Kroski, Ellyssa, 10:8 brand usage, 2:56
Marketing, 4:6
L market research
on Facebook, 10:13, 10:8
labor databases, 5:45
MarketResearch.com, 1:5, 7:1, 7:3, 7:4
languages. See also non-English language blogs
Market Research Library, 5:6
of blogs, 8:14
market research reports
filters, 8:34, 9:2
MarketResearch for, 7:3
mutilingual searching, 9:14
off-the-shelf, 7:14
translation software, 9:34
ReportLinker for, 7:12
Language Weaver, 9:3
MARKUS Bureau van Dijk, 10:4
Larson, Carolyn
Marx, 9:8
interview, 12:13
Mashable, 10:8
Leaderboard, KM4:4
MasterFoods, 10:3
Leadership and the New Science (Wheatley), KM2:2
McGraw-Hill, 5:4
Leadership Directories, 12:6
McKiernan, Gerry, 10:8
Leadership Networks, 12:6, 12:7
Meaningful Machines, 9:3
Learn to Use the Citation Linker, 6:3
media
Lee, Lillian, 2:2
trend tracking with, 6:5
Leeds, Doug, 7:7
usage, 8:7
LexisNexis, 3:6, 3:7, 11:3
MedlinePlus, 5:5
Library 2.0, KM2:4
memeorandum, 11:7, 12:5
Library and Archives Canada: Index to Canadian
Mergent Online, 8:7
Newspapers, 11:8
MI Analyst, 7:1, 7:5, 7:8
Library Clips, KM4:3
Microsoft
Library Journal, 4:6
MapPoint CD, 2:5
Library of Agricultural Decisions, 4:7
MindBranch, 7:1, 7:3, 7:4, 7:5
Library of Congress
MINT ESPANA Bureau van Dijk, 10:4
Ask-A-Librarian, 12:2, 12:3
MINT NL Bureau van Dijk, 10:4
Business Reference Section (BRS), 12:13
MINT U.K. Bureau van Dijk, 10:4
Business Research Orientation, 12:2
MIS Quarterly, 4:6
Monitor 110, 2:2 in corporate setting, KM2:34
Monitors, PressDisplay, 11:5 discussion lists and, KM2:3
Morton, John, 12:4 as knowledge management tool, KM2:23
Moss, Gayle, 11:4 NIOSHTIC-2 Publications, 5:6
MSN Messenger, 8:2 NIST Data Gateway, 5:7
Multinational Business Review, 4:6 Nominus Bureau van Dijk, 10:4
multi-tasking, 8:7 non-English language blogs, 8:14
mutilingual searching, 9:14 bridge bloggers and, 8:4
MyMissourian, 12:5 in China, 8:2
MyReferences, PressDisplay, 11:6 English-language search filters for, 8:34
MySidekick, 9:7 finding and reading, 8:34
MySpace, 5:78, 10:1, 11:6 in Japan, 8:14
in Korea, 8:23
N Technorati and, 8:3
NAICS, 4:8 tracking, 8:12
NAL Catalogs: AGRICOLA, 4:7 translation of, 8:4
National Center for Health Statistics: Search, 5:5 nonprofit organizations
National Climate Data Center, 5:5 finding people in, 12:67
National Credit Union Administration (NCUA), 4:7 Northern Light, MI Analyst, 7:1
National Institute of Standards and Technology, 5:7 Northern Light Enterprise Search, 7:8
National Institutes of Health, 5:5, 5:6 Norway
National Labor Relations Board, 5:4 company information, 10:4
National Library of Medicine, 5:56 Notess, Greg, 6:2, 6:3
National Oceanic and Atmospheric Administration NowPublic, 12:5
(NOAA), 5:5
National Post, 10:5 O
National Toxicology Program, 5:6 Och, Franz, 9:2, 9:3
natural language processing Odin Bureau van Dijk, 10:4
non-English blogs and, 8:3 Office of Trade and Industry, International Trade
sentiment detection, 2:14 Administration, 1:5
Twine and, KM4:2 off-the-shelf market research, 7:14
NebraskaAccess Tutorials, 6:3 comparing report aggregators, 7:35
NetAge, KM4:4 MarketResearch, 7:3
Net-Savvy Executive, The, 8:4 Northern Light, 7:5, 7:8
Netvibes, KM4:4 ReportLinker, 7:12
Network Creators forum, KM2:4 Ogilvy China Digital Watch, 8:4
networking research Ogilvy PR, 8:2, 8:3
on Facebook, 10:2 Ohio University, Alden Library, 6:3
networking theory, 11:6 OhMyNews, 8:2, 12:8
NewAssignment.net, 12:5 Omgili.com, 4:3, 4:4
Newmark, Craig, 12:5 Onalytica, 7:6
news OneSource, 8:5, 9:5
online sources, 12:4 Global Business Browser, 3:7, 8:5
social networking and, 12:5 Unified Global Business Browser, 8:57
news alert services, 3:3 One Stop Report, 8:6
Newscan.com, 10:7, 11:8 O'Net, 5:45
evaluation, 11:12, 11:8 online business journals, 3:37
features, 11:3 Open Directory Project, KM3:1
searching, 11:12 Orange County Library Online Tutorials, 6:3
NewsEdge, 7:1 O'Reilly Digital Media, 6:1
newspapers Organizational Dynamics, 4:6
Canadian, 10:57, 11:13, 11:8 orkut, 11:6
international, 11:46 Outside In, 12:8
readership, 12:34
Websites, 11:8 P
News Research, 7:1 Packaging Digest, 4:6
NewsTrust, 12:56 PageRank, Google Blog Search, 7:7
NewWest, 12:5, 12:8 Pang, Bo, 2:2
New York Times, 12:6 patents databases, 5:6
n-gram, 1:3 Paterson, Rob, KM2:4
niche industries people. See also young people
IBISWorld reports, 1:48 finding in nonprofit organizations, 12:67
U.S. government reports, 1:5 researching on Facebook, 10:2
Nielsen Company, 8:3 PersonalBrain, KM3:1, KM3:2, KM3:3, KM3:4
Ning, 10:1, KM2:14, KM4:4 Personnel Psychology, 4:6
concerns about, KM2:34
Pew Research Center, 12:3 Sabrina Bureau van Dijk, 10:4
Pidgin Technologies, 4:3 sales and marketing
Pival, Paul R., 6:2 social bookmarking and, KM1:2
podcasts Sales and Marketing Management, 4:6
consumer-generated, 1:13, 1:8 Savannah Morning News, 12:8
search engines, 1:2 Schettino, Robert, 3:1, 3:2, 3:3
spoken word searches of, 1:2 Schmidt, Eric, 5:3
Podscope, 1:2, 1:3 School Administration Journal, KM2:2
PODZINGER, 1:2, 1:3 Schopenhauer, Arthur, 6:4
Pollection.com, 10:3 Science, Technology & Business Division, Library of
Popplewell, Georgia, 8:4 Congress, 12:12
popularity, of blogs, 7:6 Science and Business Reading Room, Library of
Postman, Neil, 6:5 Congress, 12:2
Power 150 Marketing Blogs, 9:6 Science Reference Section, Library of Congress, 12:2
Poynter, Ray, 10:3 Scobelizer blog, 10:12
PressDisplay, 11:8 Scoble, Robert, 10:12, 11:6
access and subscription options, 11:6 screencasting, 6:13
archive searching, 11:5, 11:6 defined, 6:1
evaluation, 11:46 information professionals and, 6:2
Monitors, 11:5 popularity of, 6:12
MyReferences, 11:6 samples, 6:3
Reading Map, 11:4 software, 6:2
"probabilistic" hidden Markov models, 1:3 techniques, 6:23
product management and marketing uses of, 6:1, 6:2
social bookmarking and, KM1:2 Search Copyright Records, 5:6
Profound, 7:1, 7:3, 7:4, 7:5 SearchCrystal, 9:67
Progressive Grocer, 4:6 search engine optimizers (SEOs), 10:2
PROMT, 9:2 search engines
ProQuest, 11:6 clustering, 9:6
Public Insight Journalism, 12:8 discussion groups, 4:23
public relations multilingual, 9:14
social bookmarking and, KM1:2 new, 9:67
PubMed databases, 5:6 podcast, 1:2
PressDisplay, 11:5, 11:6
Q translation options, 9:23
Qarbon, Viewlet Builder, 6:2 Searcher, 4:6
QQ service, 8:2 Securities and Exchange Commission (SEC), 4:7
Q-tel, 9:3 SelfCastTV, 1:2
semantic analysis
R blog searching and, 6:8
sentiment analysis algorithms, 2:2, 3:1
Radar Networks, KM4:1
sentiment detection, 2:14
Ratcliffe, Mitch, 3:1
BuzzLogic, 3:13
Reach Bureau van Dijk, 10:4
defined, 2:1
Reading Map, PressDisplay, 11:4
future of, 2:8
Redshaw, Toby, KM4:4
reliability of, 2:8, 3:1
ReportLinker, 7:12
software, 2:14, 2:8
research and development
Sepinwall, Alan, 7:8
social bookmarking and, KM1:2
Serph, 9:7
Research and Markets, 7:1, 7:4, 7:5
Seuss, David, 7:5
Restaurant Business, 4:6
Shadows, KM1:3
Retailing Today, 3:5
Shore Communications, 5:1
Retail Merchandiser, 4:6
short message service (SMS), 5:8
Reuters, 3:7
Sifry, David, 8:1
Reuters' Blogs, 12:8
Simmons, Williard, 2:5
Richard Edelman's Blog, 8:4
Simmons Data Store, 2:5
Roanoke (Va.) Times, 12:8
SimmonsLOCAL On the Go, 2:56
Rogers, Everett M., 7:6
Simmons Market Research Bureau, 2:5
Rosen, Jay, 12:5, 12:8
Simpy, KM1:3
RSS feeds, 4:5, 10:2
SinglePoint, 7:5
RSS Tutorials for Law Librarians, 6:3
Skittles, 10:3
rule-based machine translation, 9:1, 9:2
SmartTerms, 7:3, 7:5
Ruthven, Justin, 1:4, 1:6
Smith, Tamara F., 4:7
Snapdata, Snapshots series, 1:67, 1:8
S Snowden, Dave, KM4:4
SABI Bureau van Dijk, 10:4 social bookmarking, KM1:14
choosing, KM1:34 Topix.Net: Canada News, 11:8
defined, KM1:12 TouchGraph, 5:4, KM4:4
for enterprises, KM1:23 TOXMED, 5:6
public, KM1:3 Trade Compliance Center, 5:6
social graph searches, 10:2, 11:67 Trade Data & Analysis: Industry Data, 5:6
defined, KM4:34 trade databases, 5:6
software, KM4:4 Trademark Electronic Search System (TESS), 5:6
Twine, KM4:13 trademarks databases, 5:6
Socialistics widget, KM4:4 TradeStats Express, 5:6
social networking training
in corporate setting, KM2:34 screencasting for, 6:1
friends in, 5:7, 11:6 Training, 4:6
g2, Generate, 5:34 Trampoline, KM4:4
growth of, 11:6 translation, 9:14, 9:8
informational professionals and, 5:78 human, 9:4, 9:8
market research and, 10:13, 10:8 of incoming feeds, 9:3
news stories and, 12:5 newspapers, 11:5, 11:8
Ning, KM2:14 of non-English language blogs, 8:4
organic operation of, KM2:2 software, 9:34
U.S. Army and, KM2:3 transportation databases, 5:67
social norms, 8:78 Transportation Research Board, 5:7
"Social Science as Moral Theology" (Postman), 6:5 Travel Weekly, 4:6
South Korean blogs, 8:2 trend tracking, 6:45
S&P, 3:7 TRIS: Online Transportation Research Information
Spain Services, 5:67
company information, 10:4 Tropea, John
Sphere interview, KM4:34
blog searching on, 6:7, 6:8 trusted networks, 11:7
Spivack, Nova, KM4:1, KM4:2 Twine, KM4:13
S&P Net Advantage, 8:7
Spoerri, Anselm, 9:6 U
spoken word searches Ubiquick, 7:1
of podcasts, 1:2 Ubterbatuibak Energy Annual, 5:5
Statistical Abstract of the United States, 4:8 Udell, Jon, 6:1
statistics-based machine translation, 9:12 Umbria, 2:2, 8:3
STAT-USA/Internet, 4:8 U.S. Army, KM2:3
Stone, Linda, 8:7 U.S. Commercial Service, 5:6
Strategy & Leadership, 4:6 U.S. Department of Agriculture, 4:7
Sullivan, Danny, 10:2, 11:6 U.S. Department of Commerce, 4:8, 5:5, 5:6
Superfund Site Information, 5:5 U.S. Department of Energy, 5:5
Sweden U.S. Department of Health and Human Services,
company information, 10:4 Centers for Disease Control and Prevention,
Switzerland 5:5, 5:6
company information, 10:4 U.S. Department of Labor, 5:45
systems of influence, KM2:2 U.S. Department of State, 4:8
Systran, 9:2 U.S. Department of Transportation, 5:6, 5:7
U.S. Environmental Protection Agency, 5:5
T U.S. government
Technology Review, 4:6 invisible Web databases, 4:78, 5:47
Technorati, 4:1 niche industry reports, 1:5
authority ranking, 3:1, 7:6, 7:7, 7:8 U.S. Industrial Outlook, 1:5
blog searching, 6:6, 6:7, 6:8 U.S. Industry & Market Outlook, 1:5
blog statistics, 8:1, 8:2 U.S. Industry & Trade Outlook, 1:5
language filters, 9:2 U.S. International Trade Commission, 5:6
searching for non-English blogs, 8:3 U.S. National Institute for Standards and Technology,
trend tracking, 6:5 9:2
Technorati Japan, 8:1, 8:3 U.S. Nuclear Regulatory Commission (NRC), 5:5
TechSmith, 6:2 U.S. Patent and Trademark Office, 5:6
Telephony, 4:6 Usenet groups, 4:2
Tencent Holdings, 8:2 USPTO Search, 5:6
text-to-audio technology, 1:2
TheBrain Technologies, KM3:14 V
Thomson BioPharma, 3:7 Varela, Monica, 9:4
Thomson Business, 7:1, 7:3 Variety, 4:6
Thomson Corp., 5:2 video podcasts
Thomson Financial, 3:7
consumer-generated, 1:13, 1:8
Viewlet Builder, 6:2
virtual focus groups
Facebook, 10:3
Virtual World Trade Reference Room, 5:6
Vivísimo, 9:6
W
Washington Post, The, 12:3
Watson, Katie, 7:7
Web 2.0
business research and, 3:6
Dialog and, 3:73.8
Web-based forums, 4:2, 4:3
WebBrain, KM3:1
Well, The, 4:2
What Japan Thinks, 8:4
Wheatley, Margaret
interview, KM2:2
White, Rob, 5:2, 5:4
"Why Mahalo, TechMeme, and Facebook are going to
kick Google's butt in four years" (Scoble), 10:2,
11:6
Wikipedia, 6:1
Wisconsin State Line, 12:8
wisdom of crowds, 8:7, 11:7
Wispa candy bar, 10:3
Witness.org, 12:8
Women's Wear Daily, 4:6
WordLingo, 9:2, 9:3, 9:8
Worldwide Lexicon, 9:8
Wunsch, Bernd, 10:8
X
Xu Jinglei, 8:2
Y
Yahoo!
language filters, 9:2
Yahoo! Groups, 4:3
features, 4:4
trend tracking with, 6:5
Yahoo! Mindset, 9:7
Yahoo! Podcast Search, 1:2
Yedda, KM4:4
young people
Dialog and, 3:8
digital media and, 8:78
email and, 5:8
social networking and, 5:78
YourDictionary.com, 9:3
YourHub, 12:8
YouTube
content, 1:1
features, 1:3
posting screencasting to, 6:3
search engines, 1:2
Z
Zoomerang, 3:6
Zuula, 9:7