Waypoint: An Integrated Search and Retrieval System for Engineering DocumentsSource: Journal of Computing and Information Science in Engineering:;2004:;volume( 004 ):;issue: 004::page 329Author:Mark Corderoy
,
Chris McMahon
,
Alistair Lowe
,
Rose Crossland
,
Tulan Shah
,
Steve Culley
,
Dave Stewart
DOI: 10.1115/1.1812557Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper describes the architecture and technical capabilities of an integrated engineering information search and retrieval system. The system is designed with a flexible architecture that allows it to be incorporated in other software systems and also to itself incorporate a variety of different software components. It provides uniform access to multiple heterogeneous information collections and an integrated access mechanism allowing both keyword searching and browsing of classification schemes interchangeably in a single information access session. Browsing using the system is based on a faceted classification approach in which continual feedback is given to the user on how the results of a search task may be refined, by updating browsable classifications to reflect previous user selections. The classification scheme is populated using an automatic constraint-based classifier. The article describes the rationale behind the choice of the system architecture and the incorporated technologies, and also describes three examples developed using the system.
keyword(s): Information retrieval , Computer software , System architecture AND Mechanisms ,
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| contributor author | Mark Corderoy | |
| contributor author | Chris McMahon | |
| contributor author | Alistair Lowe | |
| contributor author | Rose Crossland | |
| contributor author | Tulan Shah | |
| contributor author | Steve Culley | |
| contributor author | Dave Stewart | |
| date accessioned | 2017-05-09T00:12:23Z | |
| date available | 2017-05-09T00:12:23Z | |
| date copyright | December, 2004 | |
| date issued | 2004 | |
| identifier issn | 1530-9827 | |
| identifier other | JCISB6-25951#329_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/129670 | |
| description abstract | This paper describes the architecture and technical capabilities of an integrated engineering information search and retrieval system. The system is designed with a flexible architecture that allows it to be incorporated in other software systems and also to itself incorporate a variety of different software components. It provides uniform access to multiple heterogeneous information collections and an integrated access mechanism allowing both keyword searching and browsing of classification schemes interchangeably in a single information access session. Browsing using the system is based on a faceted classification approach in which continual feedback is given to the user on how the results of a search task may be refined, by updating browsable classifications to reflect previous user selections. The classification scheme is populated using an automatic constraint-based classifier. The article describes the rationale behind the choice of the system architecture and the incorporated technologies, and also describes three examples developed using the system. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Waypoint: An Integrated Search and Retrieval System for Engineering Documents | |
| type | Journal Paper | |
| journal volume | 4 | |
| journal issue | 4 | |
| journal title | Journal of Computing and Information Science in Engineering | |
| identifier doi | 10.1115/1.1812557 | |
| journal fristpage | 329 | |
| journal lastpage | 338 | |
| identifier eissn | 1530-9827 | |
| keywords | Information retrieval | |
| keywords | Computer software | |
| keywords | System architecture AND Mechanisms | |
| tree | Journal of Computing and Information Science in Engineering:;2004:;volume( 004 ):;issue: 004 | |
| contenttype | Fulltext |