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Archival informatics is the theory and application of informatics in and around the realm of archives and record keeping. [1] More specifically, it refers to the proper understanding and use of emerging technologies, techniques, and theories such as linguistic analysis, heuristics, and automation in the storage, manipulation and retrieval of archives and databases.
An Archival Informatics Newsletter was started in 1987. [2]
The first use of informatics specifically within the field of archival science dates back to 1986 with the formation of Archives & Museum Informatics by David Bearman. [1] He indicated that he borrowed the term from the field of biomedicine where "the importance of information technologies (like computers), information techniques (like full-text retrieval or digitizing radiographic images) and information theories, especially those of linguistic analysis, artificial intelligence, indexing and retrieval, are coming together in new ways of practicing medicine". The concept was critical to him because it illustrated a "system oriented view of the synergism of information based activities", rather than the more parochial view implied by confined subject names such as automation or computerization. Although it has been 21 years since this term has been introduced its usage is not common in literature; largely it is used in reference to Bearman's creation, though exceptions do exist. [3] [4]
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.
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.
Computational archaeology describes computer-based analytical methods for the study of long-term human behaviour and behavioural evolution. As with other sub-disciplines that have prefixed 'computational' to their name, the term is reserved for methods that could not realistically be performed without the aid of a computer.
An information system (IS) is a formal, sociotechnical, organizational system designed to collect, process, store, and distribute information. From a sociotechnical perspective, information systems are composed by four components: task, people, structure, and technology. Information systems can be defined as an integration of components for collection, storage and processing of data of which the data is used to provide information, contribute to knowledge as well as digital products that facilitate decision making.
Cross-language information retrieval (CLIR) is a subfield of information retrieval dealing with retrieving information written in a language different from the language of the user's query. The term "cross-language information retrieval" has many synonyms, of which the following are perhaps the most frequent: cross-lingual information retrieval, translingual information retrieval, multilingual information retrieval. The term "multilingual information retrieval" refers more generally both to technology for retrieval of multilingual collections and to technology which has been moved to handle material in one language to another. The term Multilingual Information Retrieval (MLIR) involves the study of systems that accept queries for information in various languages and return objects of various languages, translated into the user's language. Cross-language information retrieval refers more specifically to the use case where users formulate their information need in one language and the system retrieves relevant documents in another. To do so, most CLIR systems use various translation techniques. CLIR techniques can be classified into different categories based on different translation resources:
Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles. High-quality information is typically obtained by devising patterns and trends by means such as statistical pattern learning. According to Hotho et al. (2005) we can distinguish between three different perspectives of text mining: information extraction, data mining, and a knowledge discovery in databases (KDD) process. Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output. 'High quality' in text mining usually refers to some combination of relevance, novelty, and interest. Typical text mining tasks include text categorization, text clustering, concept/entity extraction, production of granular taxonomies, sentiment analysis, document summarization, and entity relation modeling.
Cheminformatics refers to the use of physical chemistry theory with computer and information science techniques—so called "in silico" techniques—in application to a range of descriptive and prescriptive problems in the field of chemistry, including in its applications to biology and related molecular fields. Such in silico techniques are used, for example, by pharmaceutical companies and in academic settings to aid and inform the process of drug discovery, for instance in the design of well-defined combinatorial libraries of synthetic compounds, or to assist in structure-based drug design. The methods can also be used in chemical and allied industries, and such fields as environmental science and pharmacology, where chemical processes are involved or studied.
Archives & Museum Informatics is a company based in Toronto, Ontario, Canada, that organizes conferences, and undertakes consulting, publishing and training in the field of cultural heritage, especially for museums.
Biodiversity informatics is the application of informatics techniques to biodiversity information, such as taxonomy, biogeography or ecology. It is defined as the application of Information technology technologies to management, algorithmic exploration, analysis and interpretation of primary data regarding life, particularly at the species level organization. Modern computer techniques can yield new ways to view and analyze existing information, as well as predict future situations. Biodiversity informatics is a term that was only coined around 1992 but with rapidly increasing data sets has become useful in numerous studies and applications, such as the construction of taxonomic databases or geographic information systems. Biodiversity informatics contrasts with "bioinformatics", which is often used synonymously with the computerized handling of data in the specialized area of molecular biology.
The Kyrgyz State Technical University named after Iskhak Razzakov is a university in Bishkek, Kyrgyzstan. Formerly the university was known as the Frunze Polytechnic Institute. It was founded in 1954.
Drug discovery and development requires the integration of multiple scientific and technological disciplines. These include chemistry, biology, pharmacology, pharmaceutical technology and extensive use of information technology. The latter is increasingly recognised as Pharmacoinformatics. Pharmacoinformatics relates to the broader field of bioinformatics.
Technology dynamics is broad and relatively new scientific field that has been developed in the framework of the postwar science and technology studies field. It studies the process of technological change. Under the field of Technology Dynamics the process of technological change is explained by taking into account influences from "internal factors" as well as from "external factors". Internal factors relate technological change to unsolved technical problems and the established modes of solving technological problems and external factors relate it to various (changing) characteristics of the social environment, in which a particular technology is embedded.
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 term Engineering Informatics may be related to information engineering, computer engineering, or computational engineering, among other meanings. This word is used with different context in different countries. In general, some people assume that the central area of interest in informatics is information processing within man-made artificial (engineering) systems, called also computational or computer systems. The focus on artificial systems separates informatics from psychology and cognitive science, which focus on information processing within natural systems. However, nowadays these fields have areas where they overlap, e.g. in field of affective computing.
Informatics is the study of computational systems. According to the ACM Europe Council and Informatics Europe, informatics is synonymous with computer science and computing as a profession, in which the central notion is transformation of information. In some cases, the term "informatics" may also be used with different meanings, e.g. in the context of social computing, or in context of library science.
Computational informatics is a subfield of informatics that emphasizes issues in the design of computing solutions rather than its underlying infrastructure. Computational informatics can also be interpreted as the use of computational methods in the information sciences.
Patent visualisation is an application of information visualisation. The number of patents has been increasing, encouraging companies to consider intellectual property as a part of their strategy. Patent visualisation, like patent mapping, is used to quickly view a patent portfolio.
Forest informatics is the combined science of forestry and informatics, with a special emphasis on collection, management, and processing of data, information and knowledge, and the incorporation of informatic concepts and theories specific to enrich forest management and forest science; it has a similar relationship to library science and information science.
Sound and music computing (SMC) is a research field that studies the whole sound and music communication chain from a multidisciplinary point of view. By combining scientific, technological and artistic methodologies it aims at understanding, modeling and generating sound and music through computational approaches.
Museum informatics is an interdisciplinary field of study that refers to the theory and application of informatics by museums. It represents a convergence of culture, digital technology, and information science. In the context of the digital age facilitating growing commonalities across museums, libraries and archives, its place in academe has grown substantially and also has connections with digital humanities.
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