{"_id":{"_str":"53ff72c27c90ec6e13001490"},"__v":0,"authorIDs":[],"author_short":["Anderson, K.<nbsp>M.","Sherba, S.<nbsp>A."],"bibbaseid":"anderson-sherba-usingstructuralcomputingtosupportinformationintegration","bibdata":{"downloads":0,"role":"author","bibbaseid":"anderson-sherba-usingstructuralcomputingtosupportinformationintegration","type":"inproceedings","title":"Using Structural Computing to Support Information Integration","pages":"151-159","key":"and01b","id":"and01b","doi":"http://www.springerlink.com/content/prmrb11wvlxrcxpp/","crossref":"ohs7","bibtype":"inproceedings","bibtex":"@inproceedings{ and01b,\n crossref = {ohs7},\n author = {Kenneth M. Anderson and Susanne A. Sherba},\n title = {Using Structural Computing to Support Information Integration},\n pages = {151-159},\n doi = {http://www.springerlink.com/content/prmrb11wvlxrcxpp/},\n abstract = {Software engineers face a difficult task in managing the many different types of relationships that exist between the documents of a software development project. We refer to this task as information integration, since establishing a relationship between two documents typically means that some part of the information in each document is semantically related. A key challenge in information integration is providing techniques and tools that manage and evolve these relationships over time. The structural computing domain provides a set of principles to derive new techniques and tools to help with these tasks of relationship management and evolution. We present a prototype information integration environment, InfiniTe, and describe how we are exploiting structural computing principles in the design of its infrastructure services.}\n}","author_short":["Anderson, K.<nbsp>M.","Sherba, S.<nbsp>A."],"author":["Anderson, Kenneth M.","Sherba, Susanne A."],"abstract":"Software engineers face a difficult task in managing the many different types of relationships that exist between the documents of a software development project. We refer to this task as information integration, since establishing a relationship between two documents typically means that some part of the information in each document is semantically related. A key challenge in information integration is providing techniques and tools that manage and evolve these relationships over time. The structural computing domain provides a set of principles to derive new techniques and tools to help with these tasks of relationship management and evolution. We present a prototype information integration environment, InfiniTe, and describe how we are exploiting structural computing principles in the design of its infrastructure services."},"bibtype":"inproceedings","biburl":"http://dret.net/biblio/dret.bib","creationDate":"2014-08-28T18:19:46.900Z","downloads":0,"keywords":[],"search_terms":["using","structural","computing","support","information","integration","anderson","sherba"],"title":"Using Structural Computing to Support Information Integration","year":null,"dataSources":["mL7NKvaepNEWFcMvG"]}