Towards Domain Independent Named Entity Recognition Kitoogo Fredrick Edward, Venansius Baryamureeba and Guy De Pauw Type-2 Fuzzy User Interface for Artificial Neural Network based Decision Support System for Course Selection
نویسندگان
چکیده
Geospatial information systems provide avenues to fulfill users’ quest for both absolute andrelative locations of features/objects. To achieve this, the users need to have access to different geospatialdata sets from various sources. This calls for integration of data from different geospatial sources. But,there are shortcomings as different data sets may not map exactly onto one another, one of reasons beingthe difference in features’ geometry. This paper presents a conceptual model for geospatial data integrationthat can identify and measure differences and adjust spatial geometries of geospatial features to formmeaningful objects which can be used for geo-spatial analysis, modeling, and easy geo-informationmanagement.
منابع مشابه
Towards Domain Independent Named Entity Recognition
Named entity recognition is a preprocessing tool to many natural language processing tasks, such as text summarization, speech translation, and document categorization. Many systems for named entity recognition have been developed over the past years with substantial success save for the problem of being domain specific and making it difficult to use the different systems across domains. This w...
متن کاملType-2 Fuzzy User Interface for Artificial Neural Network based Decision Support System for Course Selection
Enabling information and knowledge to the right people in right time increases productivity and effectiveness of the decisions made. This article describes design for an Artificial Neural Network (ANN) based decision support system along with fuzzy user interface based on type-2 fuzzy sets. The system supports beneficiaries to select suitable course/curriculum. The major criteria for making suc...
متن کاملسیستم شناسایی و طبقهبندی موجودیتهای اسمی در متون زبان فارسی بر پایه شبکه عصبی
Named Entity Recognition (NER) is a fundamental task in natural language processing and also known as a subset of information extraction. We seek to locate and classify named entities in text into predefined categories such as the names of persons, organizations, locations, expressions of times, etc. Named Entity Recognition for English texts has been researched widely for the past years, howev...
متن کاملAn Experiment to Signify Fuzzy Logic as an Effective User Interface Tool for Artificial Neural Network
Artificial Neural Networks are bio-inspired mechanisms for intelligent decision support. Artificial Neural Networks have got remarkable ability to learn and derive meaning from large amount of domain data. The paper discusses the limitations of ANN from user interface perspective and emphasizes how fuzzy logic can serve as an effective user interface tool for ANN. The paper presents a framework...
متن کاملA Decision Support System for Parking Site Selection in Urban Environment, case study:Tehran city
Nowadays almost all big cities are confronting heavy traffic and suffering from lack of parking lots which leads in traffic jam. According to the significant role of vertical parking in reducing the traffic load and smoothing the traffic current; this study was carried out with the purpose of presenting a decision support system for vertical parking site selection for mechanical and constructiv...
متن کامل