Ontology is playing an increasingly important role in knowledge management and the Semantic Web. This study presents a novel episode-based ontology construction mechanism to extract domain ontology from unstructured text documents. Additionally, fuzzy numbers for conceptual similarity computing are presented for concept clustering and taxonomic relation definitions. Moreover, concept attributes...

Selective induction algorithms are eecient in learning target concepts but inherit a major limitation-each time only one feature is used to partition the data until the data is divided into uniform segments. This limitation results in problems like replication, repetition , and fragmentation. Constructive induction has been an eeective means to overcome some of the problems. The underlying idea...

Received: May 17, 2015. Received in revised form: October 15, 2015. Accepted: October 25, 2015. Although construction has been known as a highly complex application field for autonomous robotic systems, recent advances in this field offer great hope for using robotic capabilities to develop automated construction. Today, space research agencies seek to build infrastructures without human interv...

Several non-destructive methods have been developed for the evaluation of concrete structures. Some of these methods have been advanced to automated data collection, enabling the scanning of larger parts of concrete structures. The data recorded by single or combined methods can be processed to visualize conditions and features of the structure and to image construction elements and flaws. This...

The solid waste management (SWM) represents one of the most important challenges worldwide in current period. Also, it contributes to large negative effect on three aspects sustainability which are environmental, social and economic sustainability. Approximately 50% total annual global generated (SW) is from construction demolition (CDW). case CDW Egypt has become a major challenge, encounters ...

Log files are a vital source of information for keeping systems running and healthy. However, analyzing raw log data, i.e., textual records system events, typically involves tedious searching inspecting clues, as well tracing correlating them across sources. Existing management solutions ease this process with efficient data collection, storage, normalization mechanisms, but identifying linking...