Open Access. Powered by Scholars. Published by Universities.®
Library and Information Science Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Digital Libraries (2)
- Information retrieval (2)
- Aerospace engineering (1)
- CLIR (1)
- Classification (1)
-
- Cross-Language Information Retrieval (1)
- Cultural hospitality (1)
- Dewey Decimal Classification (1)
- Digital Reference (1)
- Digital libraries (1)
- Digital reference (1)
- Document genres (1)
- Library of Congress Classification. (1)
- NLP (1)
- Natural language processing (1)
- OSS (1)
- Open source software (1)
- Query translation (1)
- Question-answering (1)
- Reusable Launch Vehicles (1)
- Software development (1)
- TExt Retrieval Conference (1)
- Teams (1)
- Teamwork (1)
- Translation (1)
- Types of documents (1)
Articles 1 - 7 of 7
Full-Text Articles in Library and Information Science
Can Document-Genre Metadata Improve Information Access To Large Digital Collections., Kevin Crowston, Barbara H. Kwasnik
Can Document-Genre Metadata Improve Information Access To Large Digital Collections., Kevin Crowston, Barbara H. Kwasnik
School of Information Studies - Faculty Scholarship
No abstract provided.
Question Negotiation And The Technological Environment, Joseph Janes, Joanne Silverstein
Question Negotiation And The Technological Environment, Joseph Janes, Joanne Silverstein
School of Information Studies - Faculty Scholarship
The information world is a very different place in 2003 than it was a few years ago. It is possible, for example, to find information more quickly and easily than ever before, using new tools, and drawing on sources of information unavailable or even nonexistent not so very long ago. People seeking answers or providing them now have many more options for "question negotiation", in the broadest Tayloresque sense [1]. Consulting an information professional continues to be one of those options. In fact, such professionals can now be much more accessible via these new tools and technologies.
Visual Resource Reference: Collaboration Between Digital Museums And Digital Libraries, Abby A. Goodrum
Visual Resource Reference: Collaboration Between Digital Museums And Digital Libraries, Abby A. Goodrum
School of Information Studies - Faculty Scholarship
The Information Institute of Syracuse at Syracuse University is engaged in a project designed to build collaborative digital museum and digital library reference services. To that end, the project team is currently developing, testing, and evaluating procedures and mechanisms that will enable museums and libraries to work together in providing reference assistance over the Web to support patrons' image information needs. The user-centered project is based upon a successful model for digital reference that has been widely embraced in the digital library community. This approach is expected to yield new insight into users' image seeking behavior that will help museums …
What Do You Mean? Finding Answers To Complex Questions, Anne R. Diekema, Ozgur Yilmazel, Jiangping Chen, Sarah Harwell, Elizabeth D. Liddy, Lan He
What Do You Mean? Finding Answers To Complex Questions, Anne R. Diekema, Ozgur Yilmazel, Jiangping Chen, Sarah Harwell, Elizabeth D. Liddy, Lan He
School of Information Studies - Faculty Scholarship
This paper illustrates ongoing research and issues faced when dealing with real-time questions in the domain of Reusable Launch Vehicles (aerospace engineering). The question- answering system described in this paper is used in a collaborative learning environment with real users and live questions. The paper describes an analysis of these more complex questions as well as research to include the user in the question-answering process by implementing a question negotiation module based on the traditional reference interview.
The Social Structure Of Open Source Software Development Teams, Kevin Crowston, James Howison
The Social Structure Of Open Source Software Development Teams, Kevin Crowston, James Howison
School of Information Studies - Faculty Scholarship
Open Source Software development teams provide an interesting and convenient setting for studying distributed work. We begin by answering perhaps the most basic question: what is the social structure of these teams? Based on a social network analysis of interactions represented in 62,110 bug reports from 122 large and active projects, we find that some OSS teams are highly centralized, but contrary to expectation, others are not. Furthermore, we find that the level of centralization is negatively correlated with project size, suggesting that larger projects become more modular. The paper makes a further methodological contribution by identifying appropriate analysis approaches …
Stretching Conceptual Structures In Classifications Across Languages And Cultures., Barbara H. Kwasnik, Victoria L. Rubin
Stretching Conceptual Structures In Classifications Across Languages And Cultures., Barbara H. Kwasnik, Victoria L. Rubin
School of Information Studies - Faculty Scholarship
The authors describe the difficulties of translating classifications from a source language and culture to another language and culture. To demonstrate these problems, kinship terms and concepts from native speakers of fourteen languages were collected and analyzed to find differences between their terms and structures and those used in English. Using the representations of kinship terms in the Library of Congress Classification (LCC) and the Dewey Decimal Classification (DDC) as examples, the authors identified the source of possible lack of mapping between the domain of kinship in the fourteen languages studied and the LCC and DDC. Finally, some preliminary suggestions …
Translation Events In Cross-Language Information Retrieval: Lexical Ambiguity, Lexical Holes, Vocabulary Mismatch, And Correct Translations, Anne Roel Diekema
Translation Events In Cross-Language Information Retrieval: Lexical Ambiguity, Lexical Holes, Vocabulary Mismatch, And Correct Translations, Anne Roel Diekema
School of Information Studies - Faculty Scholarship
Cross-Language Information Retrieval (CLIR) systems enable users to formulate queries in their native language to retrieve documents in foreign languages. Because queries and documents in CLIR do not necessarily share the same language, translation is needed before matching can take place. This translation step tends to cause a reduction in the retrieval performance of CLIR as compared to monolingual information retrieval. The prevailing CLIR approach and the focus of this study is query translation. The translation of queries is inherently difficult due to the lack of a one-to-one mapping of a lexical item and its meaning, which creates lexical ambiguity. …