On Fuzzy Extensions to Energy Ontologies for Text Processing Applications

Date

2014-10-28

Author

Kucuk, Dilek
Kucuk, Dogan
Yazıcı, Adnan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

250
views

0
downloads

Ubiquitous application areas of domain ontologies include text processing applications like categorizing related documents of the domain, extraction of information from these documents, and semantic search. In this paper, we focus on the utilization of two energy ontologies, one for electrical power quality and the second for wind energy, within such applications. For this purpose, we present fuzzy extensions to these domain ontologies as fuzziness is an essential feature of the ultimate forms of the ontologies to enhance such text analysis applications in the energy domain. A text categorization system for scholarly articles based on the extended power quality ontology is also presented for illustrative purposes together with its performance evaluation results.

Subject Keywords

Domain ontology, Text processing applications, Energy ontology, Fuzzy extension, Electric power quality, Texture analysis applications

URI

https://hdl.handle.net/11511/40968

DOI

https://doi.org/10.1007/978-3-319-09465-6_10

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

On reciprocal improvement in multimodal generation Co-reference by text and information graphics Chrıstopher, Habel; Acartürk, Cengiz (2007-01-31) In this paper, we argue that in the production of complex documents combining text and information graphics, improvement—seen as a specific revision process—has to be considered as an independent module in a multi-pass architecture. Inside improvement, graph comprehension and text comprehension modules interact in building up a common content representation based on a conceptual inventory specified via topological and geometrical concepts. During concurrent comprehension the reciprocal improvement module in...
Process ontology development using natural language processing: a multiple case study Gurbuz, Ozge; Rabhi, Fethi; Demirörs, Onur (2019-09-17) Purpose Integrating ontologies with process modeling has gained increasing attention in recent years since it enhances data representations and makes it easier to query, store and reuse knowledge at the semantic level. The authors focused on a process and ontology integration approach by extracting the activities, roles and other concepts related to the process models from organizational sources using natural language processing techniques. As part of this study, a process ontology population (PrOnPo) metho...
Improved viewshed analysis algorithms for avionics applications Özkıdık, Mustafa; Koçyiğit, Altan; Department of Information Systems (2019) Viewshed analysis is a common GIS capability used in various domains with various requirements. In avionics, viewshed analysis is a part of accuracy critical applications and the real time operating systems in embedded devices use preemptive scheduling algorithms to satisfy performance requirements. Therefore, to effectively benefit from the viewshed analysis, a method should be both fast and accurate. Although R3 algorithm is accepted as an accuracy benchmark, R2 algorithm with lower accuracy is preferred ...
Comparison of multidimensional data access methods for feature-based image retrieval Arslan, Serdar; Saçan, Ahmet; Açar, Esra; Toroslu, İsmail Hakkı; Yazıcı, Adnan (2010-11-18) Within the scope of information retrieval, efficient similarity search in large document or multimedia collections is a critical task. In this paper, we present a rigorous comparison of three different approaches to the image retrieval problem, including cluster-based indexing, distance-based indexing, and multidimensional scaling methods. The time and accuracy tradeoffs for each of these methods are demonstrated on a large Corel image database. Similarity of images is obtained via a featurebased similarity...
Design and evaluation of an ontology based information extraction system for radiological reports Soysal, Ergin; Cicekli, Ilyas; Baykal, Nazife (2010-11-01) This paper describes an information extraction system that extracts and converts the available information in free text Turkish radiology reports into a structured information model using manually created extraction rules and domain ontology. The ontology provides flexibility in the design of extraction rules, and determines the information model for the extracted semantic information. Although our information extraction system mainly concentrates on abdominal radiology reports, the system can be used in an...

Citation Formats

D. Kucuk, D. Kucuk, and A. Yazıcı, “On Fuzzy Extensions to Energy Ontologies for Text Processing Applications,” 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40968.