iVia Open Source Virtual Library System

Mitchell, Steve; Mooney, Margaret; Mason, Julie; Paynter, Gordon W.; Ruscheinski, Johannes; Kedzierski, Artur; Humphreys, Keith

doi:10.1045/january2003-mitchell

Cited by 11 publications

(16 citation statements)

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“…A group of three human catalogers evaluated the systems' output based on whether the metadata would allow the resource to be retrieved by an "intelligent health consumer" or staff of the National Institute of Environmental Health Sciences. Paynter carried out a large-scale automatic metadata extraction evaluation, using the iVia Virtual Library Software (Mitchell, Mooney, & Mason, 2003;Paynter, 2005). iVia software allows users to set parameters as to the type and number of metadata records to be included in the evaluation.…”

Section: Automatic Metadata Evaluationmentioning

confidence: 99%

Computer-assisted assignment of educational standards using natural language processing

Devaul

Diekema

Ostwald

2010

J. Am. Soc. Inf. Sci.

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Educational standards are a central focus of the current educational system in the United States, underpinning educational practice, curriculum design, teacher professional development, and high-stakes testing and assessment. Digital library users have requested that this information be accessible in association with digital learning resources to support teaching and learning as well as accountability requirements. Providing this information is complex because of the variability and number of standards documents in use at the national, state, and local level. This article describes a cataloging tool that aids catalogers in the assignment of standards metadata to digital library resources, using natural language processing techniques. The research explores whether the standards suggestor service would suggest the same standards as a human, whether relevant standards are ranked appropriately in the result set, and whether the relevance of the suggested assignments improve when, in addition to resource content, metadata is included in the query to the cataloging tool. The article also discusses how this service might streamline the cataloging workflow. digital library services. The results of these focus groups indicate that teachers want standards information associated with classroom materials and prefer specific information such as detailed national standards or their particular state standards. Digital libraries can address this need by providing access to materials that have been associated with educational standards information and developing services that support the use of these materials in classroom settings. IntroductionOf the three main elements that make up a digital librarydocuments, technology, and work-, Levy & Marshall (1995) identify work as the most essential. Work is defined as the work of digital library users but also the work of librarians to support the users by making the library resources accessible. After all, a collection and supporting technology would be of no value if users could not find what they needed. The research presented here concerns both types of work: (a) the work of teachers to educate students according to certain state and national education standards, and (b) the work of catalogers to associate these standards with educational resources as metadata, thereby making the most relevant resources accessible.Associating educational standards with learning materials requires that two significant challenges be addressed.

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Section: Automatic Metadata Evaluationmentioning

confidence: 99%

Computer-assisted assignment of educational standards using natural language processing

Devaul

Diekema

Ostwald

2010

J. Am. Soc. Inf. Sci.

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“…INFOMINE 1 is a virtual library of scholarly Internet resources (predominantly Web sites) built using the iVia Virtual Library Software 2 [27]. It contains a core set of expert-created metadata records, which are augmented by sets of imported expert-created records created by collaborating institutions, and by a large set of secondary records created by automatic processes without direct human intervention.…”

Section: Introductionmentioning

confidence: 99%

“…The INFOMINE Project automatically generates metadata for thousands of Internet resources every day, using metadata assignment tools from the iVia Virtual Library Software [27]. The tools range in complexity from simple rules for assigning Title and Creator metadata by harvesting the text of HTML tags, to Keyphrase and Description extraction algorithms based on syntactic processing, to complex Library of Congress Classification (LCC) and Library of Congress Subject Heading (LCSH) classifiers based on machine learning algorithms like Support Vector Machines and Logistic Regression.…”

Section: Introductionmentioning

confidence: 99%

Developing practical automatic metadata assignment and evaluation tools for internet resources

Paynter

2005

Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries

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This paper describes the development of practical automatic metadata assignment tools to support automatic record creation for virtual libraries, metadata repositories and digital libraries, with particular reference to library-standard metadata. The development process is incremental in nature, and depends upon an automatic metadata evaluation tool to objectively measure its progress. The evaluation tool is based on and informed by the metadata created and maintained by librarian experts at the INFOMINE Project, and uses different metrics to evaluate different metadata fields. In this paper, we describe the form and function of common metadata fields, and identify appropriate performance measures for these fields. The automatic metadata assignment tools in the iVia virtual library software are described, and their performance is measured. Finally, we discuss the limitations of automatic metadata evaluation, and cases where we choose to ignore its evidence in favor of human judgment.

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“…INFOMINE is a virtual library of scholarly Internet resources, accessible through a public interface at http://infomine.ucr.edu [16]. It is powered by the iVia Virtual Library Software, an open-source project distributed by INFOMINE under the terms of the GNU General Public License [17], which provides a wide range of automatic collection development tools, many of which have been adapted to provide services for the NSDL and other collaborators.…”

Section: Developing Digital Library Servicesmentioning

confidence: 99%

Orchestrating metadata enhancement services: introducing Lenny

Phipps¹,

Hillmann²,

Paynter³

2006

IJMSO

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Harvested metadata often suffers from uneven quality to the point that utility is compromised. Although some aggregators have developed methods for evaluating and repairing specific metadata problems, it has been unclear how these methods might be scaled into services that can be used within an automated production environment. The National Science Digital Library (NSDL), as part of its work with INFOMINE, has developed a model of service interaction that enables loosely-coupled third party services to provide metadata enhancements to a central repository, with interactions orchestrated by a centralized software application.

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iVia Open Source Virtual Library System

Cited by 11 publications

References 0 publications

Computer-assisted assignment of educational standards using natural language processing

Computer-assisted assignment of educational standards using natural language processing

Developing practical automatic metadata assignment and evaluation tools for internet resources

Orchestrating metadata enhancement services: introducing Lenny

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