title: Semantic similarity measure in biomedical domain leverage web search engine.
abstract: Semantic similarity measure plays an essential role in Information Retrieval and Natural Language Processing. In this paper we propose a page-count-based semantic similarity measure and apply it in biomedical domains. Previous researches in semantic web related applications have deployed various semantic similarity measures. Despite the usefulness of the measurements in those applications, measuring semantic similarity between two terms remains a challenge task. The proposed method exploits page counts returned by the Web Search Engine. We define various similarity scores for two given terms P and Q, using the page counts for querying P, Q and P AND Q. Moreover, we propose a novel approach to compute semantic similarity using lexico-syntactic patterns with page counts. These different similarity scores are integrated adapting support vector machines, to leverage the robustness of semantic similarity measures. Experimental results on two datasets achieve correlation coefficients of 0.798 on the dataset provided by A. Hliaoutakis, 0.705 on the dataset provide by T. Pedersen with physician scores and 0.496 on the dataset provided by T. Pedersen et al. with expert scores.
authors.affiliation: Department of Electrical Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 10617 Taiwan. vinchen@ntu.edu.tw
authors.forename: Chi-Huang
authors.initials: CH
authors.lastname: Chen
authors.forename: Sheau-Ling
authors.initials: SL
authors.lastname: Hsieh
authors.forename: Yung-Ching
authors.initials: YC
authors.lastname: Weng
authors.forename: Wen-Yung
authors.initials: WY
authors.lastname: Chang
authors.forename: Feipei
authors.initials: F
authors.lastname: Lai
mesh_terms: D057225:Data Mining / Q000379:methods*; D057286:Electronic Health Records; D055991:Health Records, Personal; D020407:Internet; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods*; D012660:Semantics