Search (28 results, page 1 of 2)

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Pages

22 S

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Abstract

If one follows any of the major cataloging or library blogs these days, it is obvious that the topic of FRBR (Functional Requirements for Bibliographic Records) has increasingly become one of major significance for the library community. What began as a proposed conceptual entity-relationship model for improving the structure of bibliographic records has become a hotly debated topic with many tangled threads that have implications not just for cataloging but for many aspects of libraries and librarianship. In the fall of 2005, the Perseus Project experimented with creating a FRBRized catalog for its current online classics collection, a collection that consists of several hundred classical texts in Greek and Latin as well as reference works and scholarly commentaries regarding these works. In the last two years, with funding from the Mellon Foundation, Perseus has amassed and digitized a growing collection of classical texts (some as image books on our own servers that will eventually be made available through Fedora), and some available through the Open Content Alliance (OCA)2, and created FRBRized cataloging data for these texts. This work was done largely as an experiment to see the potential of the FRBR model for creating a specialized catalog for classics.
Our catalog should not be called a FRBR catalog perhaps, but instead a "FRBR Inspired catalog." As such our main goal has been "practical findability," we are seeking to support the four identified user tasks of the FRBR model, or to "Search, Identify, Select, and Obtain," rather than to create a FRBR catalog, per se. By encoding as much information as possible in the MODS and MADS records we have created, we believe that useful searching will be supported, that by using unique identifiers for works and authors users will be able to identify that the entity they have located is the desired one, that by encoding expression level information (such as the language of the work, the translator, etc) users will be able to select which expression of a work they are interested in, and that by supplying links to different online manifestations that users will be able to obtain access to a digital copy of a work. This white paper will discuss previous and current efforts by the Perseus Project in creating a FRBRized catalog, including the cataloging workflow, lessons learned during the process and will also seek to place this work in the larger context of research regarding FRBR, cataloging, Library 2.0 and the Semantic Web, and the growing importance of the FRBR model in the face of growing million book digital libraries.

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Abstract

In 2000, Factiva published "The Value of Indexing," a white paper emphasizing the strategic importance of accurate categorization, based on a robust taxonomy for later retrieval of documents stored in commercial or in-house content repositories. Since that time, there has been resounding agreement between persons who use Web-based systems and those who design these systems that search engines alone are not the answer for effective information retrieval. High-quality categorization is crucial if users are to be able to find the right answers in repositories of articles and documents that are expanding at phenomenal rates. Companies continue to invest in technologies that will help them organize and integrate their content. A March 2002 article in EContent suggests a typical taxonomy implementation usually costs around $100,000. The article also cites a Merrill Lynch study that predicts the market for search and categorization products, now at about $600 million, will more than double by 2005. Classification activities are not new. In the third century B.C., Callimachus of Cyrene managed the ancient Library of Alexandria. To help scholars find items in the collection, he created an index of all the scrolls organized according to a subject taxonomy. Factiva's parent companies, Dow Jones and Reuters, each have more than 20 years of experience with developing taxonomies and painstaking manual categorization processes and also have a solid history with automated categorization techniques. This experience and expertise put Factiva at the leading edge of developing and applying categorization technology today. This paper will update readers about enhancements made to the Factiva Intelligent IndexingT taxonomy. It examines the value these enhancements bring to Factiva's news and business information service, and the value brought to clients who license the Factiva taxonomy as a fundamental component of their own Enterprise Knowledge Architecture. There is a behind-the-scenes-look at how Factiva classifies a huge stream of incoming articles published in a variety of formats and languages. The paper concludes with an overview of new Factiva services and solutions that are designed specifically to help clients improve productivity and make solid business decisions by precisely finding information in their own everexpanding content repositories.

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Abstract

The need for improved semantic in teroperability between and among vocabularies and knowledge organization schemes is undeniable and growing in importance. There is an ever-increasing need to create an environment by which even multiple portals could be accessed via subject metadata using software that is neutral and available ubiquitously or directly to the user, that could be copied by libraries for use in their own environment. In order to develop or improve a knowledge organization system including emerging options in semantic interoperability, scholars and practitioners need to be able to evaluate a wide variety of projects and stay current with the professional literature. Based on its findings, the Subcommittee concludes that the development of a successful subject semantic interoperability project is a long and difficult process. It requires a substantial investment of financial, human and computer resources. The Subcommittee recommends using the information and tools in this report and its appendices to assist in developing a successful project incorporating subject semantic interoperability. Finally the Subcommittee concludes that since this field of endeavor is still relatively young and immature, it is too early to generate a set of Best Practices that could be used in developing a successful project. We are past the theoretical and basic research phase and into the development phase. Even though there are some successful projects in full production, more projects need to reach maturity and much more research needs to be done.

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Abstract

This guide introduces the Protégé-OWL plugin for creating OWL ontologies. Chapter 3 gives a brief overview of the OWL ontology language. Chapter 4 focuses an building an OWL-DL ontology and using a Description Logic Reasoner to check the consistency of the ontology and automatically compute the ontology class hierarchy. Chapter 6 describes some OWL constructs such as has Value Restrictions and Enumerated classes, which aren't directly used in the main tutorial. Chapter 7 describes Namespaces, Importing ontologies and various features and utilities of the Protégé-OWL application.

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Abstract

This is a report about the use and misuse of citation data in the assessment of scientific research. The idea that research assessment must be done using "simple and objective" methods is increasingly prevalent today. The "simple and objective" methods are broadly interpreted as bibliometrics, that is, citation data and the statistics derived from them. There is a belief that citation statistics are inherently more accurate because they substitute simple numbers for complex judgments, and hence overcome the possible subjectivity of peer review. But this belief is unfounded. - Relying on statistics is not more accurate when the statistics are improperly used. Indeed, statistics can mislead when they are misapplied or misunderstood. Much of modern bibliometrics seems to rely on experience and intuition about the interpretation and validity of citation statistics. - While numbers appear to be "objective", their objectivity can be illusory. The meaning of a citation can be even more subjective than peer review. Because this subjectivity is less obvious for citations, those who use citation data are less likely to understand their limitations. - The sole reliance on citation data provides at best an incomplete and often shallow understanding of research - an understanding that is valid only when reinforced by other judgments. Numbers are not inherently superior to sound judgments.
Using citation data to assess research ultimately means using citation-based statistics to rank things.journals, papers, people, programs, and disciplines. The statistical tools used to rank these things are often misunderstood and misused. - For journals, the impact factor is most often used for ranking. This is a simple average derived from the distribution of citations for a collection of articles in the journal. The average captures only a small amount of information about that distribution, and it is a rather crude statistic. In addition, there are many confounding factors when judging journals by citations, and any comparison of journals requires caution when using impact factors. Using the impact factor alone to judge a journal is like using weight alone to judge a person's health. - For papers, instead of relying on the actual count of citations to compare individual papers, people frequently substitute the impact factor of the journals in which the papers appear. They believe that higher impact factors must mean higher citation counts. But this is often not the case! This is a pervasive misuse of statistics that needs to be challenged whenever and wherever it occurs. -For individual scientists, complete citation records can be difficult to compare. As a consequence, there have been attempts to find simple statistics that capture the full complexity of a scientist's citation record with a single number. The most notable of these is the h-index, which seems to be gaining in popularity. But even a casual inspection of the h-index and its variants shows that these are naive attempts to understand complicated citation records. While they capture a small amount of information about the distribution of a scientist's citations, they lose crucial information that is essential for the assessment of research.
The validity of statistics such as the impact factor and h-index is neither well understood nor well studied. The connection of these statistics with research quality is sometimes established on the basis of "experience." The justification for relying on them is that they are "readily available." The few studies of these statistics that were done focused narrowly on showing a correlation with some other measure of quality rather than on determining how one can best derive useful information from citation data. We do not dismiss citation statistics as a tool for assessing the quality of research.citation data and statistics can provide some valuable information. We recognize that assessment must be practical, and for this reason easily-derived citation statistics almost surely will be part of the process. But citation data provide only a limited and incomplete view of research quality, and the statistics derived from citation data are sometimes poorly understood and misused. Research is too important to measure its value with only a single coarse tool. We hope those involved in assessment will read both the commentary and the details of this report in order to understand not only the limitations of citation statistics but also how better to use them. If we set high standards for the conduct of science, surely we should set equally high standards for assessing its quality.

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Abstract

RDA provides a set of guidelines and instructions on formulating data to support resource discovery. The data created using RDA to describe a resource are designed to assist users performing the following tasks: find-i.e., to find resources that correspond to the user's stated search criteria: identify-i.e., to confirm that the resource described corresponds to the resource sought, or to distinguish between two or more resources with similar characteristics select-i.e., to select a resource that is appropriate to the user's needs obtain-i.e., to acquire or access the resource described. The data created using RDA to describe an entity associated with a resource (a person, family, corporate body, concept, etc.) are designed to assist users performing the following tasks: find-i.e., to find information on that entity and on resources associated with the entity identify-i.e., to confirm that the entity described corresponds to the entity sought, or to distinguish between two or more entities with similar names, etc. clarify-i.e., to clarify the relationship between two or more such entities, or to clarify the relationship between the entity described and a name by which that entity is known understand-i.e., to understand why a particular name or title, or form of name or title, has been chosen as the preferred name or title for the entity.

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Abstract

We observe that the convergence patterns of pages in the PageRank algorithm have a nonuniform distribution. Specifically, many pages converge to their true PageRank quickly, while relatively few pages take a much longer time to converge. Furthermore, we observe that these slow-converging pages are generally those pages with high PageRank.We use this observation to devise a simple algorithm to speed up the computation of PageRank, in which the PageRank of pages that have converged are not recomputed at each iteration after convergence. This algorithm, which we call Adaptive PageRank, speeds up the computation of PageRank by nearly 30%.

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Location

A

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Abstract

Summarizes findings of an international study on information-seeking habits and preferences: With extensive input from hundreds of librarians and OCLC staff, the OCLC Market Research team developed a project and commissioned Harris Interactive Inc. to survey a representative sample of information consumers. In June of 2005, we collected over 3,300 responses from information consumers in Australia, Canada, India, Singapore, the United Kingdom and the United States. The Perceptions report provides the findings and responses from the online survey in an effort to learn more about: * Library use * Awareness and use of library electronic resources * Free vs. for-fee information * The "Library" brand The findings indicate that information consumers view libraries as places to borrow print books, but they are unaware of the rich electronic content they can access through libraries. Even though information consumers make limited use of these resources, they continue to trust libraries as reliable sources of information.

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Abstract

Finding particular documents after they have been reviewed and stored has been a challenge since the advent of the printed word. "Findability" is emphatically more important as we deal with information overload in general and with the specific need to quickly find relevant background information to support business decisions in a networked environment. Because time is arguably the most valuable asset in today's economy, information users value tools that help them (1) quickly find the information they are seeking and (2) manage the quantity and quality of information they manipulate and work with on a regular basis. Although the term "indexing" may lack the cachet of some other terms we use to describe current information organization and management concepts, indexing is fundamental to precise information organization and retrieval, especially when dealing with large sets of documents. Power users find great value in using a known, granular indexing language that can surface the most relevant items and filter out items of peripheral or no interest. Web architects and interface designers can likewise take advantage of indexing labels to present only the information meeting certain requirements for users who do not wish to learn the indexing structure or taxonomy. The user finds what is needed while the indexing language is used behind the scenes and is transparent to the user.
The importance of indexing in developing a content navigation strategy for corporate intranets or portals and the value of high-quality indexing when retrieving information from external resources are reviewed in this white paper. Some general background information on indexing and the use of controlled vocabularies (or taxonomies) are included for a historical perspective. Factiva Intelligent Indexing-which incorporates the best indexing expertise from both Dow Jones Interactive and Reuters Business Briefing-is described, along with some novel customer applications that take advantage of Factiva's indexing to create or improve information products delivered to users. Examples from the Excite and Google web search engines and from Dow Jones Interactive and Reuters Business Briefing are included in an Appendix section to illustrate how indexing influences the amount and quality of information retrieved in a specific search.

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Abstract

In this document we provide an overall view of the state of the art in ontology alignment. It is organised as a description of the need for ontology alignment, a presentation of the techniques currently in use for ontology alignment and a presentation of existing systems. The state of the art is not restricted to any discipline and consider as some form of ontology alignment the work made on schema matching within the database area for instance. Heterogeneity problems on the semantic web can be solved, for some of them, by aligning heterogeneous ontologies. This is illustrated through a number of use cases of ontology alignment. Aligning ontologies consists of providing the corresponding entities in these ontologies. This process is precisely defined in deliverable D2.2.1. The current deliverable presents the many techniques currently used for implementing this process. These techniques are classified along the many features that can be found in ontologies (labels, structures, instances, semantics). They resort to many different disciplines such as statistics, machine learning or data analysis. The alignment itself is obtained by combining these techniques towards a particular goal (obtaining an alignment with particular features, optimising some criterion). Several combination techniques are also presented. Finally, these techniques have been experimented in various systems for ontology alignment or schema matching. Several such systems are presented briefly in the last section and characterized by the above techniques they rely on. The conclusion is that many techniques are available for achieving ontology alignment and many systems have been developed based on these techniques. However, few comparisons and few integration is actually provided by these implementations. This deliverable serves as a basis for considering further action along these two lines. It provide a first inventory of what should be evaluated and suggests what evaluation criterion can be used.

Content

This document is part of a research project funded by the IST Programme of the Commission of the European Communities as project number IST-2004-507482.

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Abstract

The destabilizing influences of the Web, widespread ownership of personal computers, and rising computer literacy have created an era of discontinuous change in research libraries a time when the cumulated assets of the past do not guarantee future success. The library catalog is such an asset. Today, a large and growing number of students and scholars routinely bypass library catalogs in favor of other discovery tools, and the catalog represents a shrinking proportion of the universe of scholarly information. The catalog is in decline, its processes and structures are unsustainable, and change needs to be swift. At the same time, books and serials are not dead, and they are not yet digital. Notwithstanding widespread expansion of digitization projects, ubiquitous e-journals, and a market that seems poised to move to e-books, the role of catalog records in discovery and retrieval of the world's library collections seems likely to continue for at least a couple of decades and probably longer. This report, commissioned by the Library of Congress (LC), offers an analysis of the current situation, options for revitalizing research library catalogs, a feasibility assessment, a vision for change, and a blueprint for action. Library decision makers are the primary audience for this report, whose aim is to elicit support, dialogue, collaboration, and movement toward solutions. Readers from the business community, particularly those that directly serve libraries, may find the report helpful for defining research and development efforts. The same is true for readers from membership organizations such as OCLC Online Computer Library Center, the Research Libraries Group, the Association for Research Libraries, the Council on Library and Information Resources, the Coalition for Networked Information, and the Digital Library Federation. Library managers and practitioners from all functional groups are likely to take an interest in the interview findings and in specific actions laid out in the blueprint.

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Abstract

We determine analytically the modulus of the second eigenvalue for the web hyperlink matrix used by Google for computing PageRank. Specifically, we prove the following statement: "For any matrix A=(cP + (1-c)E)**T, where P is an nxn row-stochasticmatrix, E is a nonnegative nxn rank-one row-stochastic matrix, and 0<=c<=1, the second eigenvalue of A has modulus Betrag (Lambda_sub2)<=c. Furthermore, if P has at least two irreducible closed subsets, the second eigenvalue Lambda_sub2 = c." This statement has implications for the convergence rate of the standard PageRank algorithm as the web scales, for the stability of PageRank to perturbations to the link structure of the web, for the detection of Google spammers, and for the design of algorithms to speed up PageRank.

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Abstract

It may be jumping the gun a bit to review this publication before it is actually published, but we are nothing if not current here at Current Cites, so we will do it anyway (so sue us!). This publication-in-process is a joint effort of the Visual Resources Association and the Digital Library Federation. It aims to "provide guidelines for selecting, ordering, and formatting data used to populate catalog records" relating to cultural works. Although this work is far from finished (Chapters 1, 2, 7, and 9 are available, as well as front and back matter), the authors are making it available so pratictioners can use it and respond with information about how it can be improved to better aid their work. A stated goal is to publish it in print at some point in the future. Besides garnering support from the organizations named above as well as the Getty, the Mellon Foundation and others, the effort is being guided by experienced professionals at the top of their field. Get the point? If you're involved with creating metadata relating to any type of cultural object and/or images of such, this will need to be either on your bookshelf, or bookmarked in your browser, or both

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Abstract

This report constitutes Phase I of a two-part study; a Phase II report will discuss subject cataloging. Phase I is concerned with the materials of a library as individual records (or documents) and as representations of certain works by certain authors--that is, with descriptive, or bibliographic, cataloging. Discussed in the report are (1) the history, role, function, and oblectives .of the author-and-title catalog; (2) problems and principles of descriptive catalogng, including the use and function of "main entry, the principle of authorship, and the process and problems of cataloging print and nonprint materials; (3) organization of the catalog; and (4) potentialities of automation. The considerations inherent in bibliographic cataloging, such as the distinction between the "book" and the "work," are said to be so elemental that they are essential not only to the effective control of library's materials but also to that of the information contained in the materials. Because of the special concern with information, the author includes a discussion of the "Bibliographic Dimensions of Information Control," 'prepared in collaboration with Robert M. Hayes, which also appears in "American Documentation," VOl.201 July 1969, p. 247-252.

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Abstract

The focus of this paper is an quality of ontologies as they relate to interoperating information systems. Quality is not a property of something but a judgment, so must be relative to some purpose, and generally involves recognition of design tradeoffs. Ontologies used for information systems interoperability have much in common with classification systems in information science, knowledge based systems, and programming languages, and inherit quality characteristics from each of these older areas. Factors peculiar to the new field lead to some additional characteristics relevant to quality, some of which are more profitably considered quality aspects not of the ontology as such, but of the environment through which the ontology is made available to its users. Suggestions are presented as to how to use these Factors in producing quality ontologies.

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Abstract

Access of digital materials continues to be an issue of great significance in the development of digital libraries. The proliferation of information in the networked digital environment poses challenges as well as opportunities. The author reports on a wide array of activities in the field. While this publication is not intended to be exhaustive, the reader will find, in a single work, an overview of systems of knowledge organization and pertinent examples of their application to digital materials

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