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

Probabilistic method for the assessment of instability - beam seas resonance occurence under the combined effect of wind and waves

84 σ.Στην παρούσα εργασία αναπτύσσεται η μεθοδολογία για την εκτίμηση της πιθανότητας εμφάνισης αστάθειας υπό την επίδραση κυματισμών και ανέμου χρησιμοποιώντας τα οφέλη της προσδιοριστικής ανάλυσης σε οτι αφορά την μορφή της αστάθειας και την απόκριση του πλοίου σε συνδυασμό με την πιθανοθεωρητική ανάλυση των συνθηκών περιβάλλοντος υπηρεσίας του πλοίου.The present thesis is a development of the probabilistic method for the assessment of instability occurrence proposed by Themelis & Spyrou (2007). The core idea of the original method is that “the probability of occurrence of some instability event could be assumed as equal to the probability of encountering the critical wave groups that generate this instability”. Based on that the task could be disassembled into two parts: a mainly deterministic one, for the specification of the critical wave groups with the combined use of deterministic and analytical tools from ship motion dynamics a purely probabilistic, using statistical wave models , in order to calculate the probability to encounter these critical wave groups. The contribution of the present thesis in the original method is the introduction of the wind effect in the specification of the critical wane groups as well as the probabilistic calculation of wind force. Furthermore, long-term probabilities describing the wave climate of the ship’s service area, are taken into account in the proposed methodology assessment.Ιωάννης Κ. Καρκαλέτση

M.: Content collection for the labeling of health-related web content

Abstract. As the number of health-related web sites in various languages increases, so does the need for control mechanisms that give the users adequate guarantee on whether the web resources they are visiting meet a minimum level of quality standards. Based upon state-of-the-art technology in the areas of semantic web, content analysis and quality labelling, the MedIEQ project, integrates existing technologies and tests them in a novel application: the automation of the labelling process in health-related web content. MedIEQ provides tools that crawl the web to locate unlabelled health web resources, to label them according to pre-defined labelling criteria, as well as to monitor them. This paper focuses on content collection and discusses our experiments in the English language