{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/61299"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/61299","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"ChemWARD : extracting chemical structure from printed diagrams","abstract":"Over the years, a vast amount of literature in the field of chemistry has accumulated, and searching for documents about specific molecules is a formidable task. To the extent that the literature is textual, services like Google enable relatively easy search. While search indexes like Google are very good at finding such things, its difficult to describe molecules completely using text because text can't easily indicate molecular structure, and molecular structure defines chemical properties. ChemWARD is a system that extracts the molecular structure from the printed diagrams that are ubiquitous in chemistry literature and converts them to a machine readable format in order to allow chemists to search the literature by drawing a molecular structure instead of typing a chemical formula. We describe the architecture of the system and report on its performance, demonstrating its ability to achieve an overall accuracy rate of 85.5% on printed diagrams extracted from published chemical literature.","abstract_html":"Over the years, a vast amount of literature in the field of chemistry has accumulated, and searching for documents about specific molecules is a formidable task. To the extent that the literature is textual, services like Google enable relatively easy search. While search indexes like Google are very good at finding such things, its difficult to describe molecules completely using text because text can't easily indicate molecular structure, and molecular structure defines chemical properties. ChemWARD is a system that extracts the molecular structure from the printed diagrams that are ubiquitous in chemistry literature and converts them to a machine readable format in order to allow chemists to search the literature by drawing a molecular structure instead of typing a chemical formula. We describe the architecture of the system and report on its performance, demonstrating its ability to achieve an overall accuracy rate of 85.5% on printed diagrams extracted from published chemical literature.","abstract_has_math":false,"creators":["Moscicki, Angelique (Angelique E.)"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["Randall Davis."],"committee_chairs":[],"committee_members":[],"year":2009,"date_issued":"2009","date_published":"2009","updated_at":"2026-07-22T22:21:16Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/61299","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Randall Davis."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."]},{"key":"dc:creator","label":"Author","values":["Moscicki, Angelique (Angelique E.)"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2011-02-23T15:01:05Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2011-02-23T15:01:05Z"]},{"key":"dc:date.issued","label":"Date","values":["2009"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Electrical Engineering and Computer Science."]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://dspace.mit.edu/handle/1721.1/7582"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/1721.1/61299"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.","Cataloged from PDF version of thesis.","Includes bibliographical references (p. 117-118)."]},{"key":"dc:description.abstract","label":"Abstract","values":["Over the years, a vast amount of literature in the field of chemistry has accumulated, and searching for documents about specific molecules is a formidable task. To the extent that the literature is textual, services like Google enable relatively easy search. While search indexes like Google are very good at finding such things, its difficult to describe molecules completely using text because text can't easily indicate molecular structure, and molecular structure defines chemical properties. ChemWARD is a system that extracts the molecular structure from the printed diagrams that are ubiquitous in chemistry literature and converts them to a machine readable format in order to allow chemists to search the literature by drawing a molecular structure instead of typing a chemical formula. We describe the architecture of the system and report on its performance, demonstrating its ability to achieve an overall accuracy rate of 85.5% on printed diagrams extracted from published chemical literature."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M.Eng."]},{"key":"dc:title","label":"Title","values":["ChemWARD : extracting chemical structure from printed diagrams"]}]}],"canonical_facts":{"dc:contributor.advisor":["Randall Davis."],"dc:contributor.department":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."],"dc:contributor.other":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."],"dc:creator":["Moscicki, Angelique (Angelique E.)"],"dc:date.accessioned":["2011-02-23T15:01:05Z"],"dc:date.available":["2011-02-23T15:01:05Z"],"dc:date.issued":["2009"],"dc:description":["Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.","Cataloged from PDF version of thesis.","Includes bibliographical references (p. 117-118)."],"dc:description.abstract":["Over the years, a vast amount of literature in the field of chemistry has accumulated, and searching for documents about specific molecules is a formidable task. To the extent that the literature is textual, services like Google enable relatively easy search. While search indexes like Google are very good at finding such things, its difficult to describe molecules completely using text because text can't easily indicate molecular structure, and molecular structure defines chemical properties. ChemWARD is a system that extracts the molecular structure from the printed diagrams that are ubiquitous in chemistry literature and converts them to a machine readable format in order to allow chemists to search the literature by drawing a molecular structure instead of typing a chemical formula. We describe the architecture of the system and report on its performance, demonstrating its ability to achieve an overall accuracy rate of 85.5% on printed diagrams extracted from published chemical literature."],"dc:description.degree":["M.Eng."],"dc:identifier.uri":["http://hdl.handle.net/1721.1/61299"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."],"dc:rights.uri":["http://dspace.mit.edu/handle/1721.1/7582"],"dc:subject":["Electrical Engineering and Computer Science."],"dc:title":["ChemWARD : extracting chemical structure from printed diagrams"],"dc:type":["Thesis"]},"updated_at":"2026-07-22T22:21:16Z"}