CI-Miner: semantically enhancing scientific processes
نویسندگان
چکیده
The realization of an international cyberinfrastructure of shared resources to overcome time and space limitations is challenging scientists to rethink how to document their processes. Many known scientific process requirements that would normally be considered impossible to implement a few years ago are close to becoming a reality for scientists, such as large scale integration and data reuse, data sharing across distinct scientific domains, comprehensive support for explaining process results, and full search capability for scientific products across domains. This article introduces the CI-Miner approach that can be used to aggregate knowledge about scientific processes and their products through the use of semantic annotations. The article shows how this aggregated knowledge is used to benefit scientists during the development of their research activities. The discussion is grounded on lessons learned through the use of CI-Miner to semantically annotate scientific processes in the areas of geo-sciences, environmental sciences and solar physics: A use case in the field of geo-science illustrates the CI-Miner approach in action.
منابع مشابه
CI-Miner: Scientific Workflows in Support of Cyber-Infrastructure Functionalities
Initial cyberinfrastructure (CI) efforts have primarily focused on gathering and recording scientific information from distributed, cross-disciplinary domains and developing customized applications to access such information. CI-Miner is a framework for enhancing an existing CI with knowledge that can be used to develop scientific applications that knows how to use the resources available over ...
متن کاملSSDM: A Semantically Similar Data Mining Algorithm
Most of association rule mining approaches aim to mine association rules considering exact matches between items in transactions. In this paper we present a new algorithm called SSDM (Semantically Similar Data Miner), which considers not only exact matches between items, but also the semantic similarity between them. SSDM uses fuzzy logic concepts to represent the similarity degree between item...
متن کاملUsing Fuzzy Ontologies to Extend Semantically Similar Data Mining
Association rule mining approaches traditionally generate rules based only on database contents, and focus on exact matches between items in transactions. In many applications, however, the utilization of some background knowledge, such as ontologies, can enhance the discovery process and generate semantically richer rules. Besides, fuzzy logic concepts can be applied on ontologies to quantify ...
متن کاملApplying Software Engineering Technology to Support the Clear and Precise Specification of Scientific Processes
With the availability of powerful computational and communication systems, scientists now readily access large, complicated derived datasets and build on those results to produce, through further processing, yet other derived datasets of interest to themselves and others. The scientific processes used to create such datasets must be clearly documented so that scientists can evaluate their sound...
متن کاملA Comparative Study of English and Persian Advertising Slogans: Linguistic Means through the Sands of Time
This study was a contrastive analysis of the evolution of English and Persian advertising slogans to investigate their similarities/differences in using rhetorical figures, and the evolution in the use of these figures in the slogans of each language. Thus, 800 Persian and English slogans from the last four decades were collected. Lapsanka's framework (2006) including different aspects with som...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Earth Science Informatics
دوره 2 شماره
صفحات -
تاریخ انتشار 2009