Semantic annotation for context-aware information retrieval for supporting the environmental review of transportation projects

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Although transportation practitioners nowadays have an unprecedented level of access to massive information, there still exist substantial gaps in their ability to efficiently and reliably find the right information, at the right time, and for the task/decision at hand. To address this gap, this paper proposes a context-aware information retrieval (IR) approach, which can capture and exploit the conceptualization of user needs, decision context, and content meanings to support the retrieval of information that is more relevant to decision making. The proposed IR approach includes three primary components: semantic annotation (SA), semantic query processing (SQP), and semantic document ranking (SDR). This paper focuses on SA for IR for supporting the Transportation Project Environmental Review (TPER) decision-making process. The paper proposes an epistemology-based SA algorithm for automatically annotating webpages in the TPER domain with contextual concepts from an epistemological model. The TPER epistemology is a semantic model for representing and reasoning about information and information retrieval in the TPER domain. In developing the proposed algorithm, a number of syntactic-based and semantic-based annotation methods/algorithms were developed and tested. For the syntactic-based algorithms, the effect of syntactic expansion and filtering was investigated. For the semantic-based algorithms, different semantic similarity calculation methods were evaluated. All the algorithms were tested on a testing data set of 1,328 webpages, which were collected from the FHWA Environmental Review Toolkit Website, and evaluated in terms of Mean Average Precision (MAP) and average precision. The final, proposed SA algorithm achieved 84.07% MAP and 90.67% average precision at top 50 documents, on the testing data.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering 2015 - Proceedings of the 2015 International Workshop on Computing in Civil Engineering
EditorsWilliam J. O'Brien, Simone Ponticelli
PublisherAmerican Society of Civil Engineers
Pages165-172
Number of pages8
EditionJanuary
ISBN (Electronic)9780784479247
DOIs
StatePublished - 2015
Event2015 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2015 - Austin, United States
Duration: Jun 21 2015Jun 23 2015

Publication series

NameCongress on Computing in Civil Engineering, Proceedings
NumberJanuary
Volume2015-January

Other

Other2015 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2015
Country/TerritoryUnited States
CityAustin
Period6/21/156/23/15

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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