37 research outputs found
Exploring the academic invisible web
Purpose: To provide a critical review of Bergman's 2001 study on the Deep
Web. In addition, we bring a new concept into the discussion, the Academic
Invisible Web (AIW). We define the Academic Invisible Web as consisting of all
databases and collections relevant to academia but not searchable by the
general-purpose internet search engines. Indexing this part of the Invisible
Web is central to scientific search engines. We provide an overview of
approaches followed thus far. Design/methodology/approach: Discussion of
measures and calculations, estimation based on informetric laws. Literature
review on approaches for uncovering information from the Invisible Web.
Findings: Bergman's size estimate of the Invisible Web is highly questionable.
We demonstrate some major errors in the conceptual design of the Bergman paper.
A new (raw) size estimate is given. Research limitations/implications: The
precision of our estimate is limited due to a small sample size and lack of
reliable data. Practical implications: We can show that no single library alone
will be able to index the Academic Invisible Web. We suggest collaboration to
accomplish this task. Originality/value: Provides library managers and those
interested in developing academic search engines with data on the size and
attributes of the Academic Invisible Web.Comment: 13 pages, 3 figure
Exploring the Academic Invisible Web
Purpose: To provide a critical review of Bergmanâs 2001 study on the Deep Web. In addition, we bring a new concept into the discussion, the Academic Invisible Web (AIW). We define the Academic Invisible Web as consisting of all databases and collections relevant to academia but not searchable by the general-purpose internet search engines. Indexing this part of the Invisible Web is central to scientific search engines. We provide an overview of approaches followed thus far.
Design/methodology/approach: Discussion of measures and calculations, estimation based on infor-metric laws. Literature review on approaches for uncovering information from the Invisible Web.
Findings: Bergmanâs size estimation of the Invisible Web is highly questionable. We demonstrate some major errors in the conceptual design of the Bergman paper. A new (raw) size estimation is given.
Research limitations/implications: The precision of our estimation is limited due to small sample size and lack of reliable data.
Practical implications: We can show that no single library alone will be able to index the Academic Invisible Web. We suggest collaboration to accomplish this task.
Originality/value: Provides library managers and those interested in developing academic search en-gines with data on the size and attributes of the Academic Invisible Web
Search engine user behaviour: How can users be guided to quality content?
The typical behaviour of the Web search engine user is widely known: a user only types in one or a few keywords
and expects the search engine to produce relevant results in an instant. Search engines not only adapt to this behaviour. On the
contrary, they are often faced with criticism that they themselves created this kind of behaviour. As search engines are trendsetters
for the whole information world, it is important to know how they cope with their usersâ behaviour. Recent developments
show that search engines try to integrate results from different collections into their results lists and to guide their users to the
right results. These results should not only be relevant in general, but also be pertinent in the sense of being relevant to the user
in his current situation and in accordance to his background.
The article focuses on the problems of guiding the user from his initial query to these results. It shows how the general users
are searching and how the intents behind their queries can be used to deliver the right results. It will be shown that search
engines try to give some good results for everyone instead of focusing on complete result sets for a specific user type. If the
user wishes, he can follow the paths laid out by the engines to narrow the results to a result set suitable to him
Search engine user behaviour: How can users be guided to quality content?
The typical behaviour of the Web search engine user is widely known: a user only types in one or a few keywords
and expects the search engine to produce relevant results in an instant. Search engines not only adapt to this behaviour. On the
contrary, they are often faced with criticism that they themselves created this kind of behaviour. As search engines are trendsetters
for the whole information world, it is important to know how they cope with their usersâ behaviour. Recent developments
show that search engines try to integrate results from different collections into their results lists and to guide their users to the
right results. These results should not only be relevant in general, but also be pertinent in the sense of being relevant to the user
in his current situation and in accordance to his background.
The article focuses on the problems of guiding the user from his initial query to these results. It shows how the general users
are searching and how the intents behind their queries can be used to deliver the right results. It will be shown that search
engines try to give some good results for everyone instead of focusing on complete result sets for a specific user type. If the
user wishes, he can follow the paths laid out by the engines to narrow the results to a result set suitable to him
âSciencenetââtowards a global search and share engine for all scientific knowledge
Summary: Modern biological experiments create vast amounts of data which are geographically distributed. These datasets consist of petabytes of raw data and billions of documents. Yet to the best of our knowledge, a search engine technology that searches and cross-links all different data types in life sciences does not exist
Eine bibliometrische Zeitschriftenanalyse zu JoI, Scientometrics und NfD bzw. IWP (A bibliometric journal analysis about JoI, Scientometrics and NfD respectively IWP)
In our study we analysed at first 3,889 records which were indexed in 1976-2004 in the Library and Information Science Abstracts (LISA) database in the research field of informetrics. The growth of this topic is documented. We can show the core journals of the field as a Bradford distribution (power law) and corroborate on the basis of the LISA data set that it was 2007 the appropriate time to found a new journal âJournal of Informetricsâ (JoI). The development of the Journal âScientometricsâ is compared, as well as with the German âNachrichten fĂŒr Dokumentationâ (NfD) respectively âInformation - Wissenschaft und Praxisâ (IWP)
Un directorio temĂĄtico especializado en el campo de los estudios fĂlmicos
Comunicaciones del IV Congreso Internacional sobre anĂĄlisis fĂlmico celebrado en la Universitat Jaume I de CastellĂłn 4,5 y 6 de mayo de 201
Un directorio especializado sobre estudios fĂlmicos
The general aim of this work is to present comunicacioninvisible.net, a subject gateway for film studies designed specifically for research, education and virtual learning within the professional and academic community. It describes, classifies and provides access to open content databases in film studies available on the Web, placing specific emphasis on the quality of their content, accessibility and usability. A survey applied to researchers, teachers and professionals in communication and film studies has been performed for the suitable selection of the databases.El propĂłsito general de este trabajo es presentar comunicacioninvisible.net, un directorio temĂĄtico especializado (DTE) en el campo de los estudios fĂlmicos. Diseñado especĂficamente para la investigaciĂłn, enseñanza y aprendizaje virtual de la comunidad acadĂ©mica y profesional, describe, clasifica y proporciona acceso a la consulta de bases de datos de contenido abierto disponibles en la web, considerando especialmente la calidad de su contenido, accesibilidad y usabilidad. Para la selecciĂłn adecuada de los contenidos se ha realizado un cuestionario dirigido a docentes, investigadores y profesionales de la comunicaciĂłn audiovisual y cinematografĂa