Classifying The Questions Of Small Business Owners: A Top-Down and Bottom-Up Approach

A classification scheme of business information needs was developed through question analysis of a set of business requests posed by small business entrepreneurs in the state of Maryland. Existing business classification schemes were examined for use in the project and while an existing scheme could be used for subject/industry analysis, no classification scheme was found to be adequate for the information requirements. This classification of business requests can be used to enhance communication between intermediaries and their clients, provide an understanding of user needs, assist in the develop of search strategies, and provide a basis for correlating information requirements with industry, age of industry and purpose of request

Selecting and Categorizing Textual Descriptions of Images in the Context of an Image Indexer's Toolkit

We describe a series of studies aimed at identifying specifications for a text extraction module of an image indexer's toolkit. The materials used in the studies consist of images paired with paragraph sequences that describe the images. We administered a pilot survey to visual resource center professionals at three universities to determine what types of paragraphs would be preferred for metadata selection. Respondents generally showed a strong preference for one of two paragraphs they were presented with, indicating that not all paragraphs that describe images are seen as good sources of metadata. We developed a set of semantic category labels to assign to spans of text in order to distinguish between different types of information about the images, thus to classify metadata contexts. Human agreement on metadata is notoriously variable. In order to maximize agreement, we conducted four human labeling experiments using the seven semantic category labels we developed. A subset of our labelers had much higher inter-annotator reliability, and highest reliability occurs when labelers can pick two labels per text unit

Computational linguistics for metadata building: Aggregating text processing technologies for enhanced image access

We present a system which applies text mining using computational linguistic techniques to automatically extract, categorize, disambiguate and filter metadata for image access. Candidate subject terms are identified through standard approaches; novel semantic categorization using machine learning and disambiguation using both WordNet and a domain specific thesaurus are applied. The resulting metadata can be manually edited by image catalogers or filtered by semi-automatic rules. We describe the implementation of this workbench created for, and evaluated by, image catalogers. We discuss the system\u27s current functionality, developed under the Computational Linguistics for Metadata Building (CLiMB) research project. The CLiMB Toolkit has been tested with several collections, including: Art Images for College Teaching (AICT), ARTStor, the National Gallery of Art (NGA), the Senate Museum, and from collaborative projects such as the Landscape Architecture Image Resource (LAIR) and the field guides of the Vernacular Architecture Group (VAG)

Remote Reference in U.S. Public Library Practice and LIS Education

This article submitted to IUPUI ScholarWorks as part of the OASIS Project. Article reproduced with permission of the copyright owner. Further reproduction prohibited without permission. Permission granted through posted policies on copyright owner’s website or through direct contact with copyright owner.The state of remote reference services in the United States was assessed by surveying remote reference availability at 100 U.S. public libraries, examining remote reference in the syllabi of American Library Association (ALA)-accredited library and information science (LIS) courses in the U.S., and analyzing national competencies and guidelines. Findings indicated that the telephone was the most common medium in use for remote reference services at public libraries, followed by e-mail and chat. In teaching, however, syllabi at LIS programs addressed digital remote reference media far more often than the telephone. Reference standards and guidelines primarily focused on general practices applicable to both remote and face-to-face reference work, rather than on specifics relevant to differing remote reference media types. Included in this study are recommendations to address this apparent disconnect among reference practices, teaching, and professional guidelines

Examination of the Internet Public Library as dynamic, collaborative teaching laboratory

The Internet Public Library (www.ipl.org) is a collaborative online learning environment that involves LIS faculty and students as well as working librarians around the world. Over the past twelve years, the IPL has become more collaborative with the introduction of new technologies and cultural changes. The IPL team consists of a variety of people from around the world: LIS faculty, IPL staff librarians, masters and doctoral students, working librarians, and technology specialists. Through the IPL, library and information professionals are being prepared to meet the challenges and opportunities of the digital environment: the dynamic nature of information technology, changing social and cultural norms, and an abundance of freely available content are presented in the digital reference environment. Extensive training material has been prepared by the IPL staff and feedback is provided to students by IPL staff, faculty and volunteers. In addition to the learning environment, the IPL also offers a test bed for research related to collaborative online learning environments. For examples, questions such as the role of Web 2.0 resources such as Wikipedia, Facebook, MySpace and other social computing sites will be explored

The Internet Public Library (IPL): An Exploratory Case Study on User Perceptions

The Internet Public Library (IPL), now known as ipl2, was created in 1995 with the mission of serving the public by providing librarian-recommended Internet resources and reference help. We present an exploratory case study on public perceptions of an “Internet public library,” based on qualitative analysis of interviews with ten college student participants: some current users and others unfamiliar with the IPL. The exploratory interviews revealed some confusion around the IPL’s name and the types of resources and services that would be offered. Participants made many positive comments about the IPL’s resource quality, credibility, and personal help