A survey of chemical information systems

A survey of the features, functions, and characteristics of a fairly wide variety of chemical information storage and retrieval systems currently in operation is given. The types of systems (together with an identification of the specific systems) addressed within this survey are as follows: patents and bibliographies (Derwent's Patent System; IFI Comprehensive Database; PULSAR); pharmacology and toxicology (Chemfile; PAGODE; CBF; HEEDA; NAPRALERT; MAACS); the chemical information system (CAS Chemical Registry System; SANSS; MSSS; CSEARCH; GINA; NMRLIT; CRYST; XTAL; PDSM; CAISF; RTECS Search System; AQUATOX; WDROP; OHMTADS; MLAB; Chemlab); spectra (OCETH; ASTM); crystals (CRYSRC); and physical properties (DETHERM). Summary characteristics and current trends in chemical information systems development are also examined

Chemoinformatics Research at the University of Sheffield: A History and Citation Analysis

This paper reviews the work of the Chemoinformatics Research Group in the Department of Information Studies at the University of Sheffield, focusing particularly on the work carried out in the period 1985-2002. Four major research areas are discussed, these involving the development of methods for: substructure searching in databases of three-dimensional structures, including both rigid and flexible molecules; the representation and searching of the Markush structures that occur in chemical patents; similarity searching in databases of both two-dimensional and three-dimensional structures; and compound selection and the design of combinatorial libraries. An analysis of citations to 321 publications from the Group shows that it attracted a total of 3725 residual citations during the period 1980-2002. These citations appeared in 411 different journals, and involved 910 different citing organizations from 54 different countries, thus demonstrating the widespread impact of the Group's work

Information retrieval and text mining technologies for chemistry

Efficient access to chemical information contained in scientific literature, patents, technical reports, or the web is a pressing need shared by researchers and patent attorneys from different chemical disciplines. Retrieval of important chemical information in most cases starts with finding relevant documents for a particular chemical compound or family. Targeted retrieval of chemical documents is closely connected to the automatic recognition of chemical entities in the text, which commonly involves the extraction of the entire list of chemicals mentioned in a document, including any associated information. In this Review, we provide a comprehensive and in-depth description of fundamental concepts, technical implementations, and current technologies for meeting these information demands. A strong focus is placed on community challenges addressing systems performance, more particularly CHEMDNER and CHEMDNER patents tasks of BioCreative IV and V, respectively. Considering the growing interest in the construction of automatically annotated chemical knowledge bases that integrate chemical information and biological data, cheminformatics approaches for mapping the extracted chemical names into chemical structures and their subsequent annotation together with text mining applications for linking chemistry with biological information are also presented. Finally, future trends and current challenges are highlighted as a roadmap proposal for research in this emerging field.A.V. and M.K. acknowledge funding from the European Community’s Horizon 2020 Program (project reference: 654021 - OpenMinted). M.K. additionally acknowledges the Encomienda MINETAD-CNIO as part of the Plan for the Advancement of Language Technology. O.R. and J.O. thank the Foundation for Applied Medical Research (FIMA), University of Navarra (Pamplona, Spain). This work was partially funded by Consellería de Cultura, Educación e Ordenación Universitaria (Xunta de Galicia), and FEDER (European Union), and the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469/2013 unit and COMPETE 2020 (POCI-01-0145-FEDER-006684). We thank Iñigo Garciá -Yoldi for useful feedback and discussions during the preparation of the manuscript.info:eu-repo/semantics/publishedVersio

Patent Thickets Identification

Patent thickets have been identified by various citations-based techniques, such as Graevenitz et al (2011) and Clarkson (2005). An alternative direct measurement is based on expert opinion. We use natural language processing techniques to measure pairwise semantic similarity of patents identified as thicket members by experts to create a semantic network. We compare the semantic similarity scores for patents in different expert-identified thickets: those within the same thicket, those in different thickets, and those not in thickets. We show that patents within the same thicket are significantly more semantically similar than other pairs of patents. We then present a statistical model to assess the probability of a newly added patent belonging to a thicket based on semantic networks as well as other measures from the existing thicket literature (the triples of Graevenitz and Clarkson’s density ratio). We conclude that combining information from semantic distance with other sources can be helpful to isolate the patents that are likely to be members of thickets

The Monty Hyams Archive: A New Resource in Information Science History

The Monty Hyams Archive stands as an important source of information history. This project seeks to organise and investigate the contents of the Archive while providing information on standards application to the care of the Archive. Through the research methodologies of literary warrant analysis, documentary analysis, and historical research, this dissertation proposed standards for future care of the archive, inspected the documents, and evaluated their contents and assigned descriptions. Interviews and historical research were used to expand on the information found in the documents. The descriptions generated were used to discern the major themes within the Archive and to develop an argument for The Monty Hyams as a crucial information science and patent information history resource. The project resulted in the description of the Archive’s contents, a proposed framework of standards with which to care for the Archive, and a confirmation of the argument that The Monty Hyams Archive exists as an important source of information history

Data Base Mapping Model and Search Scheme to Facilitate Resource Sharing: Volume 1, Mapping of Chemical Data Bases and Mapping of Data Base Data Elements Using a Rational Data Base Structure

Coordinated Science Laboratory was formerly known as Control Systems LaboratoryNational Science Foundation / NSF SIS 74-1855

Science and Technology Studies: Exploring the Knowledge Base

Science and Technology Studies (STS) is one of a number of new research fields to emerge over the last four or five decades. This paper attempts to identify its core academic contributions using the references that are most cited by the authors of chapters in a number of authoritative ‘handbooks’. The study then analyses the impact of these contributions by exploring the research fields, journals, and geographical location of the researchers that have cited these core contributions in their own work. Together, these two analyses reveal the various phases in the development of STS and the various aspects of convergence and divergence of the field as the quantitative studies of science and technology gradually separated from the main body of STS. The paper ends with some conclusions about the evolution of STS such as the role of ‘institution builders’ in developing new research fields and the structures required to hold them together.science studies, STS, knowledge base, handbooks, core contributions

Special Libraries, March 1965

Volume 56, Issue 3https://scholarworks.sjsu.edu/sla_sl_1965/1002/thumbnail.jp

Special Libraries, March 1965

Volume 56, Issue 3https://scholarworks.sjsu.edu/sla_sl_1965/1002/thumbnail.jp