1,720,963 research outputs found
A file-based linked data fragments approach to prefix search
Full text linkText-fields that need to look up specific entities in a dataset can be equipped with autocompletion functionality. When a dataset becomes too large to be embedded in the page, setting up a full-text search API is not the only alternative. Alternate API designs that balance different trade-offs such as archivability, cacheability and privacy, may not require setting up a new back-end architecture. In this paper, we propose to perform prefix search over a fragmentation of the dataset, enabling the client to take part in the query execution by navigating through the fragmented dataset. Our proposal consists of (i) a self-describing fragmentation strategy, (ii) a client search algorithm, and (iii) an evaluation of the proposed solution, based on a small dataset of 73k entities and a large dataset of 3.87 m entities. We found that the server cache hit ratio is three times higher compared to a server-side prefix search API, at the cost of a higher bandwidth consumption. Nevertheless, an acceptable user-perceived performance has been measured: assuming 150 ms as an acceptable waiting time between keystrokes, this approach allows 15 entities per prefix to be retrieved in this interval. We conclude that an alternate set of trade-offs has been established for specific prefix search use cases: having added more choice to the spectrum of Web APIs for autocompletion, a file-based approach enables more datasets to afford prefix search
Event notifications in value-adding networks
Full text linkLinkages between research outputs are crucial in the scholarly knowledge graph. They include online citations, but also links between versions that differ according to various dimensions and links to resources that were used to arrive at research results. In current scholarly communication systems this information is only made available post factum and is obtained via elaborate batch processing. In this paper we report on work aimed at making linkages available in real-time, in which an alternative, decentralised scholarly communication network is considered that consists of interacting data nodes that host artifacts and service nodes that add value to artifacts. The first result of this work, the "Event Notifications in Value-Adding Networks" specification, details interoperability requirements for the exchange of real-time life-cycle information pertaining to artifacts using Linked Data Notifications. In an experiment, we applied our specification to one particular use-case: distributing Scholix data-literature links to a network of Belgian institutional repositories by a national service node. The results of our experiment confirm the potential of our approach and provide a framework to create a network of interacting nodes implementing the core scholarly functions (registration, certification, awareness and archiving) in a decentralized and decoupled way
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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