Combining Textual and Web-Based Modeling
نویسندگان
چکیده
Documenting large scale IT-architectures is a laborious task that is executed by many different stakeholder types. We argue that a major obstacle that keeps stakeholders from keeping models up-todate is inadequate user interfaces for specific stakeholders. In this demo paper we present a novel modeling tool that provides adequate stakeholder views and describe the implementational challenges. The tool motivates users to contribute documentation by allowing textual modeling for technical users and web-based modeling via forms for business users at the same time. The tool demonstration video is available at: https://www.youtube.com/watch?v=PaP2Sppiv7g&feature=youtu.be
منابع مشابه
An Executive Approach Based On the Production of Fuzzy Ontology Using the Semantic Web Rule Language Method (SWRL)
Today, the need to deal with ambiguous information in semantic web languages is increasing. Ontology is an important part of the W3C standards for the semantic web, used to define a conceptual standard vocabulary for the exchange of data between systems, the provision of reusable databases, and the facilitation of collaboration across multiple systems. However, classical ontology is not enough ...
متن کاملQuality Assurance of Textual Models within Eclipse using OCL and Model Transformations
Modern software development processes often use domainspecific modeling languages (DSMLs) combined with custom code generators and/or interpreters. Especially textual DSMLs as provided by Eclipse Xtext are becoming more and more popular. As a consequence, software quality assurance frequently leads back to quality assurance of the involved textual models. Here, various quality aspects have to b...
متن کاملEfficient Method Based on Combination of Deep Learning Models for Sentiment Analysis of Text
People's opinions about a specific concept are considered as one of the most important textual data that are available on the web. However, finding and monitoring web pages containing these comments and extracting valuable information from them is very difficult. In this regard, developing automatic sentiment analysis systems that can extract opinions and express their intellectual process has ...
متن کاملCombining Linguistic Processing and Web Mining for Question Answering: ITC-irst at TREC 2004
This paper describes the work we have been done in the last year on the DIOGENE Question Answering system developed at ITC-Irst. We present two preliminary experiments showing the possibility of integrating into DIOGENE a textual entailment engine based on entailment rules. We addressed the problem proposing both a methodology for acquiring rules from the Web and a matching algorithm for compar...
متن کاملCombining Textual and Visual Cues for Content-based Image Retrieval on the World Wide Web
A system is proposed that combines textual and visual statistics in a single index vector for content-based search of a WWW image database. Textual statistics are captured in vector form using latent semantic indexing (LSI) based on text in the containing HTML document. Visual statistics are captured in vector form using color and orientation histograms. By using an integrated approach, it beco...
متن کامل