Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 15. Juni 2019)
1Wu, T.: ¬The master switch : the rise and fall of information empires.4. printing.
New York : Knopf, 2011. X, 366 S.
(A Borzoi book)
Abstract: In this age of an open Internet, it is easy to forget that every American information industry, beginning with the telephone, has eventually been taken captive by some ruthless monopoly or cartel. With all our media now traveling a single network, an unprecedented potential is building for centralized control over what Americans see and hear. Could history repeat itself with the next industrial consolidation? Could the Internet-the entire flow of American information-come to be ruled by one corporate leviathan in possession of "the master switch"? That is the big question of Tim Wu's pathbreaking book. As Wu's sweeping history shows, each of the new media of the twentieth century-radio, telephone, television, and film-was born free and open. Each invited unrestricted use and enterprising experiment until some would-be mogul battled his way to total domination. Here are stories of an uncommon will to power, the power over information: Adolph Zukor, who took a technology once used as commonly as YouTube is today and made it the exclusive prerogative of a kingdom called Hollywood . . . NBC's founder, David Sarnoff, who, to save his broadcast empire from disruptive visionaries, bullied one inventor (of electronic television) into alcoholic despair and another (this one of FM radio, and his boyhood friend) into suicide . . . And foremost, Theodore Vail, founder of the Bell System, the greatest information empire of all time, and a capitalist whose faith in Soviet-style central planning set the course of every information industry thereafter. Explaining how invention begets industry and industry begets empire-a progress often blessed by government, typically with stifling consequences for free expression and technical innovation alike-Wu identifies a time-honored pattern in the maneuvers of today's great information powers: Apple, Google, and an eerily resurgent AT&T. A battle royal looms for the Internet's future, and with almost every aspect of our lives now dependent on that network, this is one war we dare not tune out. Part industrial exposé, part meditation on what freedom requires in the information age, The Master Switch is a stirring illumination of a drama that has played out over decades in the shadows of our national life and now culminates with terrifying implications for our future.
Anmerkung: Rez. in: JASIST 62(2011) no.12, S.2504-2543 (C. Leslie)
LCSH: Telecommunication / History ; Information technology / History ; Mass media / History
RSWK: USA / Textkommunikation / Informationstechnik / Internet / Massenmedien / Monopol / Unternehmenskonzentration
BK: 3.79 / Wirtschaftssektoren: Sonstiges
GHBS: KLE (FH K)
LCC: HE7631 .W8 2011
RVK: AP 17760 ; AP 13300
2Wu, T. ; Pottenger, W.M.: ¬A semi-supervised active learning algorithm for information extraction from textual data.
In: Journal of the American Society for Information Science and Technology. 56(2005) no.3, S.258-271.
Abstract: In this article we present a semi-supervised active learning algorithm for pattern discovery in information extraction from textual data. The patterns are reduced regular expressions composed of various characteristics of features useful in information extraction. Our major contribution is a semi-supervised learning algorithm that extracts information from a set of examples labeled as relevant or irrelevant to a given attribute. The approach is semi-supervised because it does not require precise labeling of the exact location of features in the training data. This significantly reduces the effort needed to develop a training set. An active learning algorithm is used to assist the semi-supervised learning algorithm to further reduce the training set development effort. The active learning algorithm is seeded with a Single positive example of a given attribute. The context of the seed is used to automatically identify candidates for additional positive examples of the given attribute. Candidate examples are manually pruned during the active learning phase, and our semi-supervised learning algorithm automatically discovers reduced regular expressions for each attribute. We have successfully applied this learning technique in the extraction of textual features from police incident reports, university crime reports, and patents. The performance of our algorithm compares favorably with competitive extraction systems being used in criminal justice information systems.
Anmerkung: Beitrag in einem Themenheft zu: 'Intelligence and security informatics'
Themenfeld: Data Mining
3Wu, T.-F. ; Liang, C.C.: Exploring methods of image data searching.
In: Journal of educational media and library sciences. 33(1995) no.1, S.79-91.
Abstract: Argues the inappropriateness of using text oriented data searching techniques in image databases and introduces some of the methods used in image data searching. Concludes with a brief suggestion for future research and development in this area
Behandelte Form: Bilder
4Chang, C.-C. ; Wu, T.-C.: Retrieving the most similar symbolic pictures from pictorial databases.
In: Information processing and management. 28(1992) no.5, S.581-588.
Abstract: In this article, an iconic indexing mechanism is suggested for spatial similarity retrieval on iconic image databases based upon the spatial relationships among the objects in a picture. The iconic objects dealt with were some kinds of gross panorama of simple objects
Behandelte Form: Bilder