Progress Report Related work in KM Advisor: Prof. Hahn-Ming Lee Prof. Jan-Ming Ho Reporter: Shou-Wei Ho Chung-Hung Lin

Related work in KM (Knowledge Management) 2

Problems in searching Chinese( 威達 ) name Only Chinese Corpus 3

Challenges in Chinese name translation Many pronunciation rules in different areas – 陳  Chen (Taiwan) 陳  Tsun (Hong Kong) 陳  Tan (Fukien) Some additional words exist. –Ex: 黃光明 (Kwang-Ming Frank Hwang) Ex: 張韻詩 (Jane Win-Shih Liu) 4

CMU Professor ? Guitar Player and Singer Ambiguous pages in the WWW( 坤彥 ) 5

Anchor text mapping A. Personal main page B. NVIDIA web site page Search Name: Bill Mark 6

CRE: Why do we extract information from publication list web page? ( 水石 ) Publication list page is an important resource for many value-added applications, such as citation analysis and academic network analysis. What could we get from publication list pages? –Some up-to-date literatures before they are formally published –Some reference materials, such as slides and talks. 7

An automatic extractor Structure Data Extract Web Page Citation String Detect 3 relationships cont. 8

Citation extracting 9

Authorship Disambiguation( 建毅 ) Prof. A’Prof. A ?? 10

Detect 3 relationships(COI) 1. Teacher-Student Prof. A Prof. B Student C 11

2. Co-author Detect 3 relationships cont. Prof. S Prof. A … Prof. B 12

3. Colleagues Detect 3 relationships cont. Prof. W Prof. A … Prof. E 13

Mining a Chinese Person’s Name from the English Translation （任明） 14

15

A set of citations with the same author name A cluster is a citation set of an author Grouping Suppose the number of authors is unknown Name Disambiguation( 信璁 ) Problem –Given a set of citations with the same author name, how do we identify which one belongs to whom? Goal –To group the citations into several clusters, so that each cluster represents an author 16

Procedure Coauthor correlation Author information correlation SVM Classify whether a pair of citations is published by the same author Citation ACitation B Title correlation Venue correlation Web correlation Topic correlation A pair of citations 17

Procedure Use classification result to group citations into several clusters –Each cluster contains citations belonging to the same author Grouping If SVM determines two citations are authored by the same person, then they are connected each other 18

Citation Correspondence( 大為 ) Query construction: –A good query If proper records are achieved in digital libraries, good query should get them in search result, at the same time, proper records should have higher ranking. Search result should be small. Citation correspondence: –Find proper records from search result by matching local citation string and records in search result. Field-by-field comparison. –May be not enough due to errors in digital libraries (optional). Metrics: precision, recall, and F-measure. 19

Partial Solution: Abbreviation Matching v1v1 v2v2 Example: CIKM = Conference on Information and Knowledge Management 20

Reviewer Recommendation( 泰良 ) 21

COI in incomplete collaboration Network via social Interaction( 秋宜 ) 22