78,971 research outputs found
Methodologies for the Automatic Location of Academic and Educational Texts on the Internet
Traditionally online databases of web resources have been compiled by a human editor, or though the submissions of authors or interested parties. Considerable resources are needed to maintain a constant level of input and relevance in the face of increasing material quantity and quality, and much of what is in databases is of an ephemeral nature. These pressures dictate that many databases stagnate after an initial period of enthusiastic data entry. The solution to this problem would seem to be the automatic harvesting of resources, however, this process necessitates the automatic classification of resources as ‘appropriate’ to a given database, a problem only solved by complex text content analysis.
This paper outlines the component methodologies necessary to construct such an automated harvesting system, including a number of novel approaches. In particular this paper looks at the specific problems of automatically identifying academic research work and Higher Education pedagogic materials. Where appropriate, experimental data is presented from searches in the field of Geography as well as the Earth and Environmental Sciences. In addition, appropriate software is reviewed where it exists, and future directions are outlined
Methodologies for the Automatic Location of Academic and Educational Texts on the Internet
Traditionally online databases of web resources have been compiled by a human editor, or though the submissions of authors or interested parties. Considerable resources are needed to maintain a constant level of input and relevance in the face of increasing material quantity and quality, and much of what is in databases is of an ephemeral nature. These pressures dictate that many databases stagnate after an initial period of enthusiastic data entry. The solution to this problem would seem to be the automatic harvesting of resources, however, this process necessitates the automatic classification of resources as ‘appropriate’ to a given database, a problem only solved by complex text content analysis.
This paper outlines the component methodologies necessary to construct such an automated harvesting system, including a number of novel approaches. In particular this paper looks at the specific problems of automatically identifying academic research work and Higher Education pedagogic materials. Where appropriate, experimental data is presented from searches in the field of Geography as well as the Earth and Environmental Sciences. In addition, appropriate software is reviewed where it exists, and future directions are outlined
An Experimental Digital Library Platform - A Demonstrator Prototype for the DigLib Project at SICS
Within the framework of the Digital Library project at SICS, this thesis describes the implementation of a demonstrator prototype of a digital library (DigLib); an experimental platform integrating several functions in one common interface. It includes descriptions of the structure and formats of the digital library collection, the tailoring of the search engine Dienst, the construction of a keyword extraction tool, and the design and development of the interface. The platform was realised through sicsDAIS, an agent interaction and presentation system, and is to be used for testing and evaluating various tools for information seeking. The platform supports various user interaction strategies by providing: search in bibliographic records (Dienst); an index of keywords (the Keyword Extraction Function (KEF)); and browsing through the hierarchical structure of the collection. KEF was developed for this thesis work, and extracts and presents keywords from Swedish documents. Although based on a comparatively simple algorithm, KEF contributes by supplying a long-felt want in the area of Information Retrieval. Evaluations of the tasks and the interface still remain to be done, but the digital library is very much up and running. By implementing the platform through sicsDAIS, DigLib can deploy additional tools and search engines without interfering with already running modules. If wanted, agents providing other services than SICS can supply, can be plugged in
Parallel Strands: A Preliminary Investigation into Mining the Web for Bilingual Text
Parallel corpora are a valuable resource for machine translation, but at
present their availability and utility is limited by genre- and
domain-specificity, licensing restrictions, and the basic difficulty of
locating parallel texts in all but the most dominant of the world's languages.
A parallel corpus resource not yet explored is the World Wide Web, which hosts
an abundance of pages in parallel translation, offering a potential solution to
some of these problems and unique opportunities of its own. This paper presents
the necessary first step in that exploration: a method for automatically
finding parallel translated documents on the Web. The technique is conceptually
simple, fully language independent, and scalable, and preliminary evaluation
results indicate that the method may be accurate enough to apply without human
intervention.Comment: LaTeX2e, 11 pages, 7 eps figures; uses psfig, llncs.cls, theapa.sty.
An Appendix at http://umiacs.umd.edu/~resnik/amta98/amta98_appendix.html
contains test dat
An Evaluation of Link Neighborhood Lexical Signatures to Rediscover Missing Web Pages
For discovering the new URI of a missing web page, lexical signatures, which
consist of a small number of words chosen to represent the "aboutness" of a
page, have been previously proposed. However, prior methods relied on computing
the lexical signature before the page was lost, or using cached or archived
versions of the page to calculate a lexical signature. We demonstrate a system
of constructing a lexical signature for a page from its link neighborhood, that
is the "backlinks", or pages that link to the missing page. After testing
various methods, we show that one can construct a lexical signature for a
missing web page using only ten backlink pages. Further, we show that only the
first level of backlinks are useful in this effort. The text that the backlinks
use to point to the missing page is used as input for the creation of a
four-word lexical signature. That lexical signature is shown to successfully
find the target URI in over half of the test cases.Comment: 24 pages, 13 figures, 8 tables, technical repor
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