Search (93 results, page 1 of 5)

Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.07

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Source: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja

Panzer, M.: From heteroglossiato polyglottism : Multilingual MelvilClass (2008) 0.06

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Source: http://www.oclc.org/dewey/news/conferences/multilingual_melvil_class.pdf

Facts on file news digest CD-ROM (1993) 0.05

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Weinberger, D.: Order is in the eye of the tagger (2007) 0.05

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Source: http://www.wired.com/science/planetearth/news/2007/05/miscellaneous_excerpt

Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.05

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Source: https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H

Panzer, M.: DDC in Germany : Recent Developments and Current Activities (2007) 0.05

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Source: http://www.oclc.org/dewey/news/conferences/ala_crissx_jan2007.pdf

Bradford, R.B.: Relationship discovery in large text collections using Latent Semantic Indexing (2006) 0.04
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Abstract

This paper addresses the problem of information discovery in large collections of text. For users, one of the key problems in working with such collections is determining where to focus their attention. In selecting documents for examination, users must be able to formulate reasonably precise queries. Queries that are too broad will greatly reduce the efficiency of information discovery efforts by overwhelming the users with peripheral information. In order to formulate efficient queries, a mechanism is needed to automatically alert users regarding potentially interesting information contained within the collection. This paper presents the results of an experiment designed to test one approach to generation of such alerts. The technique of latent semantic indexing (LSI) is used to identify relationships among entities of interest. Entity extraction software is used to pre-process the text of the collection so that the LSI space contains representation vectors for named entities in addition to those for individual terms. In the LSI space, the cosine of the angle between the representation vectors for two entities captures important information regarding the degree of association of those two entities. For appropriate choices of entities, determining the entity pairs with the highest mutual cosine values yields valuable information regarding the contents of the text collection. The test database used for the experiment consists of 150,000 news articles. The proposed approach for alert generation is tested using a counterterrorism analysis example. The approach is shown to have significant potential for aiding users in rapidly focusing on information of potential importance in large text collections. The approach also has value in identifying possible use of aliases.

Source

Proceedings of the Fourth Workshop on Link Analysis, Counterterrorism, and Security, SIAM Data Mining Conference, Bethesda, MD, 20-22 April, 2006. [http://www.siam.org/meetings/sdm06/workproceed/Link%20Analysis/15.pdf]

High-Level Thesaurus (HILT) project : recent work (2007) 0.04

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Source: http://www.oclc.org/dewey/news/conferences/hilt_and_ddc.ppt

XFML Core - eXchangeable Faceted Metadata Language (2003) 0.04

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Abstract: The specification for XFML, a markup language designed to handle faceted classifications. Browsing the site (http://www.xfml.org/) will reveal news about XFML and links to related software and web sites. XFML is not an officially recognized Internet standard, but is the de facto standard.

Chawla, D.S.: Hundreds of 'predatory' journals indexed on leading scholarly database (2021) 0.04

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Series: News

Hanken, J.: Organizing the world in the age of DNA (2007) 0.03
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Abstract

By meticulously categorizing life, maybe there's a chance we can save some species from extinction. That's perhaps the source of the excitement that erupted online when a team of leading biologists and software engineers announced the Encyclopedia of Life project in early May. The scientists plan to create an online catalog of the genome, geographic distribution, phylogenetic position, habitat, and ecological relationships of all 1.8 million known species on the planet. To do it, they'll use the latest technologies and scientific methods -- but they'll also use Carl Linnaeus' 272-year-old taxonomy system. James Hanken, director of the Museum of Comparative Zoology at Harvard University where he teaches evolutionary biology will lead Harvard's role in the project. The author of over 100 scientific publications, he's also an accomplished photographer, with his work appearing in Natural History, Audubon and Playboy. Hanken chatted with Wired News about Linnaeus' legacy in an age of genetic discovery that the father of taxonomy could not have imagined -- and the movement to uproot the Linnaean system.

Source

http://www.wired.com/print/science/planetearth/news/2007/05/hanken_qanda

Resource Description Framework (RDF) (2004) 0.03

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Abstract: The Resource Description Framework (RDF) integrates a variety of applications from library catalogs and world-wide directories to syndication and aggregation of news, software, and content to personal collections of music, photos, and events using XML as an interchange syntax. The RDF specifications provide a lightweight ontology system to support the exchange of knowledge on the Web. The W3C Semantic Web Activity Statement explains W3C's plans for RDF, including the RDF Core WG, Web Ontology and the RDF Interest Group.

Husevag, A.-S.R.: Named entities in indexing : a case study of TV subtitles and metadata records (2016) 0.03
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Abstract

This paper explores the possible role of named entities in an automatic index-ing process, based on text in subtitles. This is done by analyzing entity types, name den-sity and name frequencies in subtitles and metadata records from different TV programs. The name density in metadata records is much higher than the name density in subtitles, and named entities with high frequencies in the subtitles are more likely to be mentioned in the metadata records. Personal names, geographical names and names of organizations where the most prominent entity types in both the news subtitles and news metadata, while persons, works and locations are the most prominent in culture programs.

Metadata practices on the cutting edge (2004) 0.03

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Source: http://www.niso.org/news/events_workshops/MD-2004_agenda.html

Reyzin, L.: Unprovability comes to machine learning (2019) 0.03

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Series: News and views

Mitchell, J.S.: DDC 22 : an introduction (2003) 0.03
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Abstract

Dewey Decimal Classification and Relative Index, Edition 22 (DDC 22) will be issued simultaneously in print and web versions in July 2003. The new edition is the first full print update to the Dewey Decimal Classification system in seven years-it includes several significant updates and many new numbers and topics. DDC 22 also features some fundamental structural changes that have been introduced with the goals of promoting classifier efficiency and improving the DDC for use in a variety of applications in the web environment. Most importantly, the content of the new edition has been shaped by the needs and recommendations of Dewey users around the world. The worldwide user community has an important role in shaping the future of the DDC.

Object

DDC-22

Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.02

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Date: 22. 7.2006 15:22:28

Dunning, A.: Do we still need search engines? (1999) 0.02

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Source: Ariadne. 1999, no.22

Dextre Clarke, S.G.: Challenges and opportunities for KOS standards (2007) 0.02

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Date: 22. 9.2007 15:41:14

Bladow, N.; Dorey, C.; Frederickson, L.; Grover, P.; Knudtson, Y.; Krishnamurthy, S.; Lazarou, V.: What's the Buzz about? : An empirical examination of Search on Yahoo! (2005) 0.02
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Abstract

We present an analysis of the Yahoo Buzz Index over a period of 45 weeks. Our key findings are that: (1) It is most common for a search term to show up on the index for one week, followed by two weeks, three weeks, etc. Only two terms persist for all 45 weeks studied - Britney Spears and Jennifer Lopez. Search term longevity follows a power-law distribution or a winner-take-all structure; (2) Most search terms focus on entertainment. Search terms related to serious topics are found less often. The Buzz Index does not necessarily follow the "news cycle"; and, (3) We provide two ways to determine "star power" of various search terms - one that emphasizes staying power on the Index and another that emphasizes rank. In general, the methods lead to dramatically different results. Britney Spears performs well in both methods. We conclude that the data available on the Index is symptomatic of a celebrity-crazed, entertainment-centered culture.

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