Data conversion and interoperability for FCA
نویسنده
چکیده
This paper proposes a tool that converts non-FCA format data files into an FCA format, thereby making a wide range of public data sets and data produced by non-FCA tools interoperable with FCA tools. This will also offer the power of FCA to a wider community of data analysts. A repository of converted data is also proposed, as a consistent resource of public data for analysis and for the testing, evaluation and comparison of FCA tools and algorithms.
منابع مشابه
FcaStone - FCA file format conversion and interoperability software
This paper presents FcaStone a software for FCA file format conversion and interoperability. The paper both describes the features of FcaStone and discusses FCA interoperability issues (such as the specific difficulties encountered when connecting FCA tools to other tools). The paper ends with a call to the FCA community to develop some sort of standard FCA Interchange Format, which could be us...
متن کاملFCA Software Interoperability
This paper discusses FCA software interoperability from a variety of angles: because the central FCA structures, formal contexts and concept lattices, can be represented in non-FCA software, interoperability with such software is of relevance. The non-FCA software in question is spreadsheet, relational database, graph and vector graphics software. The simplest approach to interoperability consi...
متن کاملHospital information systems interoperability in Iran
Introduction: Interoperability is needed when the Hospital Information System (HIS) data should be combined and shared with different systems. This study was aimed to determine the semantic and technical interoperability of hospital information systems of Iran’s health care centers and propose guidelines to create and develop interoperability of these centers. Methods: This descriptive st...
متن کاملOntological Interoperability of Learning Objects: A Hybrid Graphical-Neural Approach
This paper presents OntoShare, an automated ontology mapping and merging architecture for learning object retrieval and reuse. The architecture aims to offer contextual and robust ontology mapping and merging through hybrid unsupervised clustering techniques comprising of Formal Concept Analysis (FCA), Self-Organizing Map (SOM) and K-Means clustering incorporated with linguistic processing usin...
متن کاملHighlighting the Gaps in Enterprise Systems Models by Interoperating CGs and FCA
Enterprises arise from creative human endeavours, articulated through business concepts encoded in enterprise information systems through a modular Enterprise Information Model (EIM). The EIM thus brings the productivity of computers to bear. Essentially, the EIM represents conceptual structures, which align the computer’s structured way of working with the human’s conceptual way of thinking. U...
متن کامل