1,720,979 research outputs found
MusicSpace: improving access to musicological data
No full textEfforts over the past decade to digitize scholarly musicological materials has revolutionized the research process, however online research in musicology is now held back by the segregation of data into a plethora of discrete and disparate databases, and the use of legacy or ad hoc metadata specifications that are unsuited to modern demands. Many real-world musicological research questions are rendered effectively intractable because there is insufficient metadata or metadata granularity, and a lack of data source integration. The "musicSpace" project has taken a dual approach to solving this problem: designing back-end services to integrate (and where necessary surface) available (meta)data for exploratory search from musicology's key online data providers; and providing a front-end interface, based on the "mSpace" faceted browser, to support rich exploratory search interaction. We unify our partners' data using a multi-level metadata hierarchy and a common ontology. By using RDF for this, we make use of the many benefits of Semantic Web technologies, such as the facility to create multiple files of RDF at different times and using different tools, assert them into a single graph of a knowledge base, and query all of the asserted files as a whole. In many cases we were able to directly map a record field from a partner's dataset to our combined type hierarchy, but in other cases some light syntactic and/or semantic analysis needed to be performed. This small amount of work in the pre-processing stage adds granularity that significantly enriches the data, allowing for more refined filtering and browsing of records via the search UI. Significantly, although all the data we extract is present in the original records, much of it is neither exposed to nor exploitable by the end-user via our data providers' existing UIs. In musicSpace, however, all data surfaced can be used by the musicologist for the purposes of querying the dataset, and can thus aid the process of knowledge discovery and creation. Our work offers an effective generalizable framework for data integration and exploration that is well suited for Arts and Humanities data. Our benchmarks have been (1) to make tractable previously intractable queries, and thereby (2) to accelerate knowledge discovery
From Information to Sense-Making: Fetching and Querying Semantic Repositories
Full text linkInformation, its gathering, sharing, and storage, is growing at a very rapid rate. Information turned into knowledge leads to sense- making. Ontologies, and their representations in RDF, are increasingly being used to turn information into knowledge. This paper describes how to leverage the power of ontologies and semantic repositories to turn today’s glut of information into sense-making. This would enable better applications to be built making users’ lives easier and more effective
Domain-specific backlinking services in the Web of Data
No full textThis paper describes an Open Linked Data back- linking service, a generic architecture component to support the discovery of useful links between items across highly connected data sets. Using Public Sector Information (PSI) currently available as Linked Data, we demonstrate that contemporary publishing practices do not adequately support the ability to navigate or automatically traverse between resources published by different vendors, or the capacity to discover information relevant to a particular URI. Although some useful services in this area have been developed, such as large triple indexes of published data, and the collection of sameAs relationships between individuals, we believe that an important component is missing: a mechanism to discover the backlinks to relevant resources that cannot be found by direct URI resolution. We present the implementation of such a component, integrating data from various PSI sources
Interacting with the Web of Data through a Web of inter-connected lenses
No full textAs a medium of structured information available on the Web, Linked Data is still hard to access for most end users. Current solutions facilitating end user access to Linked Data are either thought the use of data-mapping approaches, which allow configureable interfaces to be quickly deployed over preselected aggregations of Linked Data, or enable users themselves to browse the Web of Data through the use of generic data browsers. While the first approach is useful and promotes surfacing and easy repurposing of structured data it does little to promote the use of linkages to other, remote datasets. The second approach is much less useable for end users, however enables them to experience browsing a interconnected Web of Data. In this paper we present mashpoint, a framework that aims to provide a middle ground between both approaches. The approach treats data-centric applications as high-level lenses over the data, and allows selections of data to be pivoted between applications thus facilitating navigation. The paper presents an initial prototype and discusses both implications and challenges in terms of interaction and technology
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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