Search (30 results, page 1 of 2)

Daudaravicius, V.: ¬A framework for keyphrase extraction from scientific journals (2016) 0.01

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Field: Informatik

Reyzin, L.: Unprovability comes to machine learning (2019) 0.01

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Field: Informatik

Coates, H.L.: Library and information science research literature is chiefly descriptive and relies heavily on survey and content analysis methods (2015) 0.00
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Abstract

Objective - To compare the research articles produced by library and information science (LIS) practitioners, LIS academics, and collaborations between practitioners and academics. Design - Content analysis. Setting - English-language LIS literature from 2008 through 2012. Subjects - Research articles published in 13 library and information science journals. Methods - Using a purposive sample of 769 articles from selected journals, the authors used content analysis to characterize the mix of authorship models, author status (practitioner, academic, or student), topic, research approach and methods, and data analysis techniques used by LIS practitioners and academics. Main Results - The authors screened 1,778 articles, 769 (43%) of which were determined to be research articles. Of these, 438 (57%) were written solely by practitioners, 110 (14%) collaboratively by practitioners and academics, 205 (27%) solely by academics, and 16 (2%) by others. The majority of the articles were descriptive (74%) and gathered quantitative data (69%). The range of topics was more varied; the most popular topics were libraries and librarianship (19%), library users/information seeking (13%), medical information/research (13%), and reference services (12%). Pearson's chi-squared tests detected significant differences in research and statistical approaches by authorship groups. Conclusion - Further examination of practitioner research is a worthwhile effort as is establishing new funding to support practitioner and academic collaborations. The use of purposive sampling limits the generalizability of the results, particularly to international and non-English LIS literature. Future studies could explore motivators for practitioner-academic collaborations as well as the skills necessary for successful collaboration. Additional support for practitioner research could include mentorship for early career librarians to facilitate more rapid maturation of collaborative research skills and increase the methodological quality of published research.

Petric, T.: Bibliographic organisation of continuing resources in relation to the IFLA models : research within the Croatian corpus of continuing resources (2016) 0.00

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Source: Jlis.it. 7(2016) no.1, S.181-205

Klic, L.; Miller, M.; Nelson, J.K.; Germann, J.E.: Approaching the largest 'API' : extracting information from the Internet with Python (2018) 0.00
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Abstract

This article explores the need for libraries to algorithmically access and manipulate the world's largest API: the Internet. The billions of pages on the 'Internet API' (HTTP, HTML, CSS, XPath, DOM, etc.) are easily accessible and manipulable. Libraries can assist in creating meaning through the datafication of information on the world wide web. Because most information is created for human consumption, some programming is required for automated extraction. Python is an easy-to-learn programming language with extensive packages and community support for web page automation. Four packages (Urllib, Selenium, BeautifulSoup, Scrapy) in Python can automate almost any web page for all sized projects. An example warrant data project is explained to illustrate how well Python packages can manipulate web pages to create meaning through assembling custom datasets.

Theme

Internet

Harnett, K.: Machine learning confronts the elephant in the room : a visual prank exposes an Achilles' heel of computer vision systems: Unlike humans, they can't do a double take (2018) 0.00

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Field: Informatik

McGrath, K.; Kules, B.; Fitzpatrick, C.: FRBR and facets provide flexible, work-centric access to items in library collections (2011) 0.00

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Theme: Katalogfragen allgemein

Tillett, B.B.: RDA, or, The long journey of the catalog to the digital age (2016) 0.00

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Theme: Katalogfragen allgemein

Klic, L.; Miller, M.; Nelson, J.K.; Pattuelli, C.; Provo, A.: ¬The drawings of the Florentine painters : from print catalog to linked open data (2017) 0.00

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Theme: Katalogfragen allgemein

Lee, W.-C.: Conflicts of semantic warrants in cataloging practices (2017) 0.00

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Theme: Katalogfragen allgemein

Standage, T.: Information overload is nothing new (2018) 0.00
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Content

"Overflowing inboxes, endlessly topped up by incoming emails. Constant alerts, notifications and text messages on your smartphone and computer. Infinitely scrolling streams of social-media posts. Access to all the music ever recorded, whenever you want it. And a deluge of high-quality television, with new series released every day on Netflix, Amazon Prime and elsewhere. The bounty of the internet is a marvellous thing, but the ever-expanding array of material can leave you feeling overwhelmed, constantly interrupted, unable to concentrate or worried that you are missing out or falling behind. No wonder some people are quitting social media, observing "digital sabbaths" when they unplug from the internet for a day, or buying old-fashioned mobile phones in an effort to avoid being swamped. This phenomenon may seem quintessentially modern, but it dates back centuries, as Ann Blair of Harvard University observes in "Too Much to Know", a history of information overload. Half a millennium ago, the printing press was to blame. "Is there anywhere on Earth exempt from these swarms of new books?" moaned Erasmus in 1525. New titles were appearing in such abundance, thousands every year. How could anyone figure out which ones were worth reading? Overwhelmed scholars across Europe worried that good ideas were being lost amid the deluge. Francisco Sanchez, a Spanish philosopher, complained in 1581 that 10m years was not long enough to read all the books in existence. The German polymath Gottfried Wilhelm Leibniz grumbled in 1680 of "that horrible mass of books which keeps on growing"."
Xu, G.; Cao, Y.; Ren, Y.; Li, X.; Feng, Z.: Network security situation awareness based on semantic ontology and user-defined rules for Internet of Things (2017) 0.00
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Abstract

Internet of Things (IoT) brings the third development wave of the global information industry which makes users, network and perception devices cooperate more closely. However, if IoT has security problems, it may cause a variety of damage and even threaten human lives and properties. To improve the abilities of monitoring, providing emergency response and predicting the development trend of IoT security, a new paradigm called network security situation awareness (NSSA) is proposed. However, it is limited by its ability to mine and evaluate security situation elements from multi-source heterogeneous network security information. To solve this problem, this paper proposes an IoT network security situation awareness model using situation reasoning method based on semantic ontology and user-defined rules. Ontology technology can provide a unified and formalized description to solve the problem of semantic heterogeneity in the IoT security domain. In this paper, four key sub-domains are proposed to reflect an IoT security situation: context, attack, vulnerability and network flow. Further, user-defined rules can compensate for the limited description ability of ontology, and hence can enhance the reasoning ability of our proposed ontology model. The examples in real IoT scenarios show that the ability of the network security situation awareness that adopts our situation reasoning method is more comprehensive and more powerful reasoning abilities than the traditional NSSA methods. [http://ieeexplore.ieee.org/abstract/document/7999187/]

Guidi, F.; Sacerdoti Coen, C.: ¬A survey on retrieval of mathematical knowledge (2015) 0.00

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Date: 22. 2.2017 12:51:57

Wicaksana, I.W.S.; Wahyudi, B.: Comparison Latent Semantic and WordNet approach for semantic similarity calculation (2011) 0.00
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Abstract

Information exchange among many sources in Internet is more autonomous, dynamic and free. The situation drive difference view of concepts among sources. For example, word 'bank' has meaning as economic institution for economy domain, but for ecology domain it will be defined as slope of river or lake. In this paper, we will evaluate latent semantic and WordNet approach to calculate semantic similarity. The evaluation will be run for some concepts from different domain with reference by expert or human. Result of the evaluation can provide a contribution for mapping of concept, query rewriting, interoperability, etc.

Sojka, P.; Liska, M.: ¬The art of mathematics retrieval (2011) 0.00

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Content: Vgl.: DocEng2011, September 19-22, 2011, Mountain View, California, USA Copyright 2011 ACM 978-1-4503-0863-2/11/09
Date: 22. 2.2017 13:00:42

Dobreski, B.: Authority and universalism : conventional values in descriptive catalog codes (2017) 0.00

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Theme: Katalogfragen allgemein

Hyning, V. Van; Lintott, C.; Blickhan, S.; Trouille, L.: Transforming libraries and archives through crowdsourcing (2017) 0.00

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Theme: Internet

Gore, E.; Bitta, M.D.; Cohen, D.: ¬The Digital Public Library of America and the National Digital Platform (2017) 0.00

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Theme: Internet

Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012) 0.00
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Abstract

This paper reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The paper discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and /or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the DDC (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.

Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.00

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Date: 17.12.2013 11:02:22

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