4,818,718 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Reference Notes (August 2010)
Table of Contents includes: Reference Outreach & Instruction; The NEW Research Project Calculator Is Here!; The Kids Are Alright; ELM Spotlight; ELM Webinars Made to Order; Making K12 Databases Student Friendlier; Minnesota Book Award Author Event; Library Publications on Facebook; Information-Seeking Behavior in the Big Lebowski; Minitex Reference Outreach & Instruction Fall Conferences and Instruction.Minitex Reference Outreach & Instruction. (2010). Reference Notes (August 2010). Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/134738
Distributed human computation framework for linked data co-reference resolution
Distributed Human Computation (DHC) is a technique used to solve computational problems by incorporating the collaborative effort of a large number of humans. It is also a solution to AI-complete problems such as natural language processing. The Semantic Web with its root in AI is envisioned to be a decentralised world-wide information space for sharing machine-readable data with minimal integration costs. There are many research problems in the Semantic Web that are considered as AI-complete problems. An example is co-reference resolution, which involves determining whether different URIs refer to the same entity. This is considered to be a significant hurdle to overcome in the realisation of large-scale Semantic Web applications. In this paper, we propose a framework for building a DHC system on top of the Linked Data Cloud to solve various computational problems. To demonstrate the concept, we are focusing on handling the co-reference resolution in the Semantic Web when integrating distributed datasets. The traditional way to solve this problem is to design machine-learning algorithms. However, they are often computationally expensive, error-prone and do not scale. We designed a DHC system named iamResearcher, which solves the scientific publication author identity co-reference problem when integrating distributed bibliographic datasets. In our system, we aggregated 6 million bibliographic data from various publication repositories. Users can sign up to the system to audit and align their own publications, thus solving the co-reference problem in a distributed manner. The aggregated results are published to the Linked Data Cloud
The vanishing author in computer-generated works: a critical analysis of recent Australian case law
Abstract
The use of software is ubiquitous in the creation of many copyright works, yet the requirement in copyright law that every work have a human author who engages in independent intellectual effort means that its use may prevent copyright subsistence. Several recent Australian cases have refocused attention on authorship as an essential criterion of copyright subsistence, and these cases suggest that much computer-produced output may be authorless and thus lack copyright protection. This article, the first in a two-part series, analyses how each case deals with the question of authorship of computer-produced works and why the use of software diminishes copyright protection for a significant number of computer-generated works. The article critiques the application of conventional notions of human authorship developed in the pre-computer age to modern productions and suggests alternative approaches to authorship that satisfy both the major objectives of copyright policy and the need to adapt to the computer age. The article argues that, without a broader judicial approach to authorship of computer-generated works, Parliament must remedy the lacuna in protection for these ‘authorless’ works. Possible solutions for reform are suggested. In a forthcoming article, the author comprehensively examines those reform proposals
Outstanding Business Reference Sources 2018
Each year, the Business Reference Sources Committee of BRASS selects the outstanding business reference sources published since May of the previous year. This year, the committee reviewed twenty-one entries; of these, one was designated as “Outstanding,” seven as “Notable,” and two as a “Notable New Edition.” To qualify for the award, the title must meet the conventional definition of reference: a work compiled specifically to supply information on a certain subject or group of subjects in a form that will facilitate its ease of use. The works are examined for the following: authority and reputation of the publisher, author, or editor; accuracy; appropriate bibliography; organization; comprehensiveness; value of the content; currency; distinctive addition; ease of use for the intended purpose; quality and accuracy of index; and quality and usefulness of graphics and illustrations. Additional criteria for electronic reference titles are accuracy of links, search features, stability of content, and graphic design. Works selected must be suitable for medium to large-size academic and public libraries
Reference Notes (January 2003)
Table of Contents includes: Virtual Reference Services Part 3: Issues in Virtual Reference; Google Enhancements; Information Bits.Minitex Reference Outreach & Instruction. (2003). Reference Notes (January 2003). Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/134078
Reference Notes (June 2001)
Table of Contents includes: Digital Reference Basics; Sources for Building Digital Reference Services; Real-life Examples of Digital Reference Service; Request for Assistance.Minitex Reference Outreach & Instruction. (2001). Reference Notes (June 2001). Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/134041
Reference Notes (November 2002)
Table of Contents includes: Virtual Reference Services; Minitex Goes to School(s); The Changing Face of Reference; Information Bits.Minitex Reference Outreach & Instruction. (2002). Reference Notes (November 2002). Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/134076
Reference Notes (June 2006)
Table of Contents includes: MORE Training is Back; Hidden Gem for Genealogy; Social Networking Sites Grow 47 Percent, Year Over Year, Reaching 45 Percent of Web Users; What, When, Why, How of Reference Referral; Outstanding the Reference Sources: The 2006 Selection of Recent Titles; New Reference Librarian!; Information Bits.Minitex Reference Outreach & Instruction. (2006). Reference Notes (June 2006). Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/134309
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