A Semi-automatic Method to Ontology Design by Using FCA
نویسنده
چکیده
Ontology design is a complex and time-consuming process. It is extremely difficult for human experts to discover ontology from given data or texts. This paper presents a semi-automatic method for ontology extraction and design. The method is based on Formal Concept Analysis and a Horn clause model of a concept lattice. Inputs to the technique are domain-specific texts or data. After transformations, resulting domain-specific ontology is represented as a set of rules and facts according to Horn clause model of concept lattice based ontology representation. Ontology designer is given this initial ontology expression for further extension by adding concepts and relationships (part-of, related to, etc) by using a rule language based on Horn clauses. Validation of ontology is done by logical inference.
منابع مشابه
طراحی سامانه نیمهخودکار ساخت هستیشناسی بهکمک تحلیل همرخدادی واژگان و روش C-value (مطالعه موردی: حوزه علمسنجی ایران)
Ontology is one of formal concepts and the relations in the specific regions.It have recently tried to design the learning, automatic methods of Ontology. Whereas Ontology containing concepts and the relations, exploiting concepts, the semantic relations among concept. The various Ontology of regions and different applications are expensive processes that are automatic.The lack of main knowledg...
متن کاملOntology-based concept similarity in Formal Concept Analysis
Both domain ontologies and Formal Concept Analysis (FCA) aim at modeling concepts, although with different purposes. In the literature, a promising research area concerns the role of FCA in ontology engineering, in particular, in supporting the critical task of reusing independently developed domain ontologies. With this regard, the possibility of evaluating concept similarity is acquiring an i...
متن کاملAutomatic Interpretation of UltraCam Imagery by Combination of Support Vector Machine and Knowledge-based Systems
With the development of digital sensors, an increasing number of high-resolution images are available. Interpretation of these images is not possible manually, which necessitates seeking for practical, fast and automatic solutions to solve the environmental and location-based management problems. The land cover classification using high-resolution imagery is a difficult process because of the c...
متن کاملAutomatic Acquisition of Taxonomies from Text: FCA meets NLP
We present a novel approach to the automatic acquisition of taxonomies or concept hierarchies from domain-specific texts based on Formal Concept Analysis (FCA). Our approach is based on the assumption that verbs pose more or less strong selectional restrictions on their arguments. The conceptual hierarchy is then built on the basis of the inclusion relations between the extensions of the select...
متن کاملAttributes Selection in Chinese Ontology Acquisition with FCA
An ontology can be seen as a hierarchical description of concepts in a specific domain. One of the key issues in ontology construction is the acquisition of ontology hierachy. Manual construction of ontology by experts is time-consuming and costly, and timely update is also difficult. In automatic or semi-automatic methods, the general procedure of ontology construction is to first obtain domai...
متن کامل