Search (13 results, page 1 of 1)

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Abstract

Few studies have been done concerning document components and their effects on information use. This research empirically tested a taxonomy of functional units in a prototype journal system. This taxonomy was developed by identifying functions of the smallest information units within four journal article components (i.e., introduction, methods, results, discussion), and their associations with information tasks of using journal articles. Experimental results show that functional units can be utilized in supporting navigation, close reading, comprehension, and information use of journal articles to various extents. The results provide evidence that an individual functional unit has varying relevance to information use tasks, and has varying relevance to other functional units in the same or another component for a particular task. This research suggests that the information within a journal article can be organized and presented by functions to enhance effectiveness and efficiency in reading process and reading outcome.

Date

6. 4.2012 18:43:22

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Date

15.10.2005 19:57:22

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Abstract

This paper investigates different uses of the Journal Impact Factor (JIF) in national journal rankings and discusses the merits of supplementing metrics with expert assessment. Our focus is national journal rankings used as evidence to support decisions about the distribution of institutional funding or career advancement. The seven countries under comparison are China, Denmark, Finland, Italy, Norway, Poland, and Turkey-and the region of Flanders in Belgium. With the exception of Italy, top-tier journals used in national rankings include those classified at the highest level, or according to tier, or points implemented. A total of 3,565 (75.8%) out of 4,701 unique top-tier journals were identified as having a JIF, with 55.7% belonging to the first Journal Impact Factor quartile. Journal rankings in China, Flanders, Poland, and Turkey classify journals with a JIF as being top-tier, but only when they are in the first quartile of the Average Journal Impact Factor Percentile. Journal rankings that result from expert assessment in Denmark, Finland, and Norway regularly classify journals as top-tier outside the first quartile, particularly in the social sciences and humanities. We conclude that experts, when tasked with metric-informed journal rankings, take into account quality dimensions that are not covered by JIFs.

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Abstract

As an extension to the current Web, Semantic Web will not only contain structured data with machine understandable semantics but also textual information. While structured queries can be used to find information more precisely on the Semantic Web, keyword searches are still needed to help exploit textual information. It thus becomes very important that we can combine precise structured queries with imprecise keyword searches to have a hybrid query capability. In addition, due to the huge volume of information on the Semantic Web, the hybrid query must be processed in a very scalable way. In this paper, we define such a hybrid query capability that combines unary tree-shaped structured queries with keyword searches. We show how existing information retrieval (IR) index structures and functions can be reused to index semantic web data and its textual information, and how the hybrid query is evaluated on the index structure using IR engines in an efficient and scalable manner. We implemented this IR approach in an engine called Semplore. Comprehensive experiments on its performance show that it is a promising approach. It leads us to believe that it may be possible to evolve current web search engines to query and search the Semantic Web. Finally, we briefy describe how Semplore is used for searching Wikipedia and an IBM customer's product information.

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Abstract

Deep learning has emerged as a powerful machine learning technique that learns multiple layers of representations or features of the data and produces state-of-the-art prediction results. Along with the success of deep learning in many other application domains, deep learning is also popularly used in sentiment analysis in recent years. This paper first gives an overview of deep learning and then provides a comprehensive survey of its current applications in sentiment analysis.

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Abstract

By analyzing 63 English-speaking institutions that offer ALA-accredited master's programs in library and information studies, this research aims to explore the education for knowl­edge organization (KO) at different levels and across fields. This research examines the KO courses that are the required courses and elective courses in the MLIS programs, that are offered in other master's programs and graduate certificate programs, that are adapted to the undergraduate degree and certificate programs, and that are particularly developed for programs other than MLIS. The findings indicate that the great majority of MLIS programs still have a focus on or a significant component of knowl­edge organization as their required course and include the knowl­edge organization elective courses, particularly library cataloging and classification, on their curriculum. However, there is a variety of the offerings of KO related courses across the programs in an institution or in the same program across the institutions. It shows a promising trend that the traditional and new KO courses play an important role in many other programs, at different levels and across fields. With the conventional, adapted, or innovative content, these courses demonstrate that the principles and skills of knowl­edge organization are applicable to a wide variety of settings, can be integrated with other disciplinary knowl­edge and emerging technologies, and meet the needs of different career pathways and groups of learners.

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Abstract

In recent years, community informatization initiatives have developed throughout mainland China. The meaning of "community informatization" in China is similar to "community informatics" in the U.S. This paper aims to investigate the current state of community informatization in mainland China-with a focus on best practices, major challenges, patterns of development, developing trends, and effects. Comparing the theory and practice of China's community informatization to community informatics in other countries, especially in the U.S. and Europe, this paper asks: can government-sponsored or independent informatization efforts bridge the digital divide and help China realize digital-or information-equity?

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Abstract

The Web of Data keeps growing rapidly. However, the full exploitation of this large amount of structured data faces numerous challenges like usability, scalability, imprecise information needs and data change. We present Semplore, an IR-based system that aims at addressing these issues. Semplore supports intuitive faceted search and complex queries both on text and structured data. It combines imprecise keyword search and precise structured query in a unified ranking scheme. Scalable query processing is supported by leveraging inverted indexes traditionally used in IR systems. This is combined with a novel block-based index structure to support efficient index update when data changes. The experimental results show that Semplore is an efficient and effective system for searching the Web of Data and can be used as a basic infrastructure for Web-scale Semantic Web search engines.

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Abstract

How information resources can be meaningfully related has been addressed in contexts from bibliographic entries to hyperlinks and, more recently, linked data. The genre structure and relationships among genre structure constituents shed new light on organizing information by purpose or function. This study examines the relationships among a set of functional units previously constructed in a taxonomy, each of which is a chunk of information embedded in a document and is distinct in terms of its communicative function. Through a card-sort study, relationships among functional units were identified with regard to their occurrence and function. The findings suggest that a group of functional units can be identified, collocated, and navigated by particular relationships. Understanding how functional units are related to each other is significant in linking information pieces in documents to support finding, aggregating, and navigating information in a distributed information environment.

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Abstract

The construction of concepts achieved by the apparently incompatible ideas of essence and context is examined through genre. Essence is defined by essential characteristics: innate, immutable, independent of context. Unlike essences, contexts are fluid, changing with time and location. Genre has the stability of the essential characteristics that define essence and the fluidity of differing circumstances that define context, thus making it effective for the exploration of essence and context. Controlled vocabularies reveal diachronically and synchronically the stable/fluid ambivalence of genre classes. The Dewey Decimal Classification (DDC1, DDC13, DDC23) exhibits stability (and modest fluidity) in the Divisions, the primary reflection of academic disciplines one hierarchical step below the main classes and the development of the standard subdivisions as a slow multi-edition evolution. Genre serves as a lens for us to better understand essences, contexts, and concepts and their manifestations, classes. Rather than being incompatible opposites, essences and contexts complement each other in the definition of concepts. How these abstractions relate to classification is a question both theoretical and practical to our efforts to further knowledge organization.

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Date

22. 1.2023 18:40:36