Tefko Saracevic

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Tefko Saracevic
Born1930 in Zagreb, Croatia
Education Case Western Reserve University Phd

Tefko Saracevic is professor emeritus at the School of Communication and Information at Rutgers University. He is a contributor to the theoretical concept of relevance [1] and a prominent information scientist. [2] He has been President of the Association for Information Science and Technology [3] Born November 24, 1930, in Zagreb, Croatia came to U.S., 1959; naturalized, 1964.

Contents

Education

Electrical Engineering University of Zagreb, Croatia equivalent to B.S., 1957; Case Western Reserve University, Information Science M.S., 1962; Case Western Reserve University, Ph.D., 1970. Dissertation: "On the concept of relevance in information science.". [4]

Career

Saracevic was a member of faculty at Case Western Reserve University, Matthew A. Baxter School of Information and Library Science School: 1962–64, assistant professor, 1964–66, U.S. Office of Education fellow, 1966–70, associate professor, 1970–74, professor 1974- 1985.

He was concurrently Visiting professor, Brazilian Institute for Bibliography and Documentation, Ministry of Science, Technology and Innovation (Brazil) Rio de Janeiro, 1971–77.

From 1985-1991 he was Professor and 1991– 2010 was Professor II at the School of Communication and Information at Rutgers University. In 2010 he was honored as Professor Emeritus. [5]

Professional Associations and Editing

Selected Conference Presentations

Awards and Honors

Selected Publications

Related Research Articles

Information retrieval (IR) in computing and information science is the task of identifying and retrieving information system resources that are relevant to an information need. The information need can be specified in the form of a search query. In the case of document retrieval, queries can be based on full-text or other content-based indexing. Information retrieval is the science of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds.

<span class="mw-page-title-main">Information science</span> Academic field concerned with collection and analysis of information

Information science is an academic field which is primarily concerned with analysis, collection, classification, manipulation, storage, retrieval, movement, dissemination, and protection of information. Practitioners within and outside the field study the application and the usage of knowledge in organizations in addition to the interaction between people, organizations, and any existing information systems with the aim of creating, replacing, improving, or understanding the information systems.

In information science and information retrieval, relevance denotes how well a retrieved document or set of documents meets the information need of the user. Relevance may include concerns such as timeliness, authority or novelty of the result.

The Association for Information Science and Technology (ASIS&T) is a nonprofit membership organization for information professionals that sponsors an annual conference as well as several serial publications, including the Journal of the Association for Information Science and Technology (JASIST). The organization provides administration and communications support for its various divisions, known as special-interest groups or SIGs; provides administration for geographically defined chapters; connects job seekers with potential employers; and provides organizational support for continuing education programs for information professionals.

The Gerard Salton Award is presented by the Association for Computing Machinery (ACM) Special Interest Group on Information Retrieval (SIGIR) every three years to an individual who has made "significant, sustained and continuing contributions to research in information retrieval". SIGIR also co-sponsors the Vannevar Bush Award, for the best paper at the Joint Conference on Digital Libraries.

Bibliographic coupling, like co-citation, is a similarity measure that uses citation analysis to establish a similarity relationship between documents. Bibliographic coupling occurs when two works reference a common third work in their bibliographies. It is an indication that a probability exists that the two works treat a related subject matter.

Query expansion (QE) is the process of reformulating a given query to improve retrieval performance in information retrieval operations, particularly in the context of query understanding. In the context of search engines, query expansion involves evaluating a user's input and expanding the search query to match additional documents. Query expansion involves techniques such as:

Paul B. Kantor is an American information scientist. He is Distinguished Professor Emeritus of Information Science at Rutgers University in New Jersey, and an Honorary Research Associate in Industrial and Systems Engineering at the University of Wisconsin, Madison.

Marcia J. Bates is Professor VI Emerita of Information Studies in the Graduate School of Education and Information Studies, University of California, Los Angeles.

Nicholas J. Belkin is a professor at the School of Communication and Information at Rutgers University. Among the main themes of his research are digital libraries; information-seeking behaviors; and interaction between humans and information retrieval systems. Belkin is best known for his work on human-centered Information Retrieval and the hypothesis of Anomalous State of Knowledge (ASK). Belkin realized that in many cases, users of search systems are unable to precisely formulate what they need. They miss some vital knowledge to formulate their queries. In such cases it is more suitable to attempt to describe a user's anomalous state of knowledge than to ask the user to specify her/his need as a request to the system.

A web query or web search query is a query that a user enters into a web search engine to satisfy their information needs. Web search queries are distinctive in that they are often plain text and boolean search directives are rarely used. They vary greatly from standard query languages, which are governed by strict syntax rules as command languages with keyword or positional parameters.

Aboutness is a term used in library and information science (LIS), linguistics, philosophy of language, and philosophy of mind. In general, the term refers to the concept that a text, utterance, image, or action is on or of something. In LIS, it is often considered synonymous with a document's subject. In the philosophy of mind, it has been often considered synonymous with intentionality, perhaps since John Searle (1983). In the philosophy of logic and language, it is understood as the way a piece of text relates to a subject matter or topic.

The Cranfield experiments were a series of experimental studies in information retrieval conducted by Cyril W. Cleverdon at the College of Aeronautics, today known as Cranfield University, in the 1960s to evaluate the efficiency of indexing systems. The experiments were broken into two main phases, neither of which was computerized. The entire collection of abstracts, resulting indexes and results were later distributed in electronic format and were widely used for decades.

The Canadian Association for Information Science, also known as CAIS, is a Canadian society that promotes the advancement of information science in Canada, and encourages and facilitates the exchange of information relating to the use, access, retrieval, organization, management, and dissemination of information. It is a bilingual (English/French) association with the French name L'Association canadienne des sciences de l'information, also known as ACSI. Established in 1971, the association publishes a quarterly journal, The Canadian Journal of Information and Library Science (CJILS) and sponsors an annual conference. Along with contact information, the association's web site, www.cais-acsi.ca, provides information about past and future conferences and access to conference proceedings. CAIS members include information scientists and archivists, librarians, computer scientists, documentalists, economists, educators, journalists, psychologists, and others who support its objectives.

<span class="mw-page-title-main">Frederick Wilfrid Lancaster</span> British-American information scientist (1933–2013)

Frederick Wilfrid ("Wilf") Lancaster was a British-American information scientist. He immigrated to the US in 1959 and worked as information specialist for the National Library of Medicine in Bethesda, Maryland, from 1965 to 1968. He was a professor at the University of Illinois, Urbana, from 1972 to 1992 and professor emeritus from 1992 to 2013. He continued as an honored scholar after retirement speaking on the evolution of librarianship in the 20th and 21st century.

Concept-based image indexing, also variably named as "description-based" or "text-based" image indexing/retrieval, refers to retrieval from text-based indexing of images that may employ keywords, subject headings, captions, or natural language text. It is opposed to Content-based image retrieval. Indexing is a technique used in CBIR.

<span class="mw-page-title-main">Vicki L. Gregory</span>

Dr. Vicki L. Gregory is professor emeritus at the School of Information at the University of South Florida (USF). She and was director of the School from 1999 until 2007. Her fields of specialization include: academic libraries, digital librarianship, technical services, information science, library networking, library automation, and collection development. Prior to teaching at USF Dr. Gregory was Director of Systems and Operations for the Auburn University at Montgomery Library. She is currently President of Beta Phi Mu. She was Treasurer for the Association for Information Science and Technology (ASIS&T) and the winner of the 2014 Watson Davis Award. She is also the author, co-author, or editor of seven books and has published numerous articles.

Allen Kent was an American information scientist.

Gary Marchionini is an American information scientist and educator at the University of North Carolina at Chapel Hill (1998–present).

Linda C. Smith is professor emerita at the University of Illinois School of Information Sciences. She has served as President of the Association for Information Science and Technology and the Association for Library and Information Science Education. Her scholarship has been wide-ranging and she is particularly known for her research on the potential of information systems to support discovery and consideration of convergence curation. The first librarian to investigate Artificial Intelligence (AI) for Information Retrieval (IR), Smith also specified the role of AI as a human intermediary and identified the AI techniques of pattern recognition, representation, problem-solving, and learning as suitable for IR, claiming AI is just like a human librarian who helps users navigate information systems.

References

  1. Hjørland , Birger. “The Foundation of the Concept of Relevance.” Journal of the American Society for Information Science and Technology 61, no. 2 (2010): 217–37.
  2. Winberry, Joseph, LaVerne Gray, Jean Hardy, Baheya Jaber, and Bharat Mehra. “Conceptualizing Relevance of Information as a Social Justice Issue: An Interactive Panel Discussion.” Proceedings of the Association for Information Science and Technology 58, no. 1 (2021): 667–72.
  3. "Tefko Saracevic." Gale Literature: Contemporary Authors, Gale, 2001. Gale In Context: Biography, link.gale.com/apps/doc/H1000087063/BIC?u=tamp44898&sid=bookmark-BIC&xid=e59d58e0. Accessed 20 Feb. 2024.
  4. Saracevic Tefko. 1970. “On the Concept of Relevance in Information Science.” Dissertation Saracevic. Case Western Reserve University.
  5. Tefko Saracevic. Rutgers School of Communication and Information.
  6. Cuadra, Carlos A. “Comments on: Five Years, Five Volumes and 2345 Pages of the Annual Review of Information Science and Technology by Tefko Saracevic: Annual Review of Information Science and Technology.” Information Storage and Retrieval 7, no. 3 (1971): 141–46.
  7. “ASIS Award of Merit: Saracevic Accepts ASIS’ Highest Honor.” American Society for Information Science. Bulletin of the American Society for Information Science 22, no. 3 (1996): 19–21