• Title/Summary/Keyword: Edge-Labeled Graph

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On Prime Cordial Labeling of Graphs

  • Aljouiee, Abdullah
    • Kyungpook Mathematical Journal
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    • v.56 no.1
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    • pp.41-46
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    • 2016
  • A graph G of order n has prime cordial labeling if its vertices can be assigned the distinct labels 1, $2{\cdots}$, n such that if each edge xy in G is assigned the label 1 in case the labels of x and y are relatively prime and 0 otherwise, then the number of edges labeled with 0 and the number of edges labeled with 1 differ by at most 1. In this paper, we give a complete characterization of complete graphs which are prime cordial and we give a prime cordial labeling of the closed helm ${\bar{H}}_n$, and present a new way of prime cordial labeling of $P^2_n$. Finally we make a correction of the proof of Theorem 2.5 in [12].

Processing of Multiple Regular Path Expressions using PID (경로 식별자를 이용한 다중 정규경로 처리기법)

  • Kim, Jong-Ik;Jeong, Tae-Seon;Kim, Hyeong-Ju
    • Journal of KIISE:Databases
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    • v.29 no.4
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    • pp.274-284
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    • 2002
  • Queries on XML are based on paths in the data graph, which is represented as an edge labeled graph model. All proposed query languages for XML express queries using regular expressions to traverse arbitrary paths in the data graph. A meaningful query usually has several regular path expressions in it, but much of recent research is more concerned with optimizing a single path expression. In this paper, we present an efficient technique to process multiple path expressions in a query. We developed a data structure named as the path identifier(PID) to identify whether two given nodes lie on the fame path in the data graph or not, and utilized the PID for efficient processing of multiple path expressions. We implement our technique and present preliminary performance results.

Detecting Intentionally Biased Web Pages In terms of Hypertext Information (하이퍼텍스트 정보 관점에서 의도적으로 왜곡된 웹 페이지의 검출에 관한 연구)

  • Lee Woo Key
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.1 s.33
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    • pp.59-66
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    • 2005
  • The organization of the web is progressively more being used to improve search and analysis of information on the web as a large collection of heterogeneous documents. Most people begin at a Web search engine to find information. but the user's pertinent search results are often greatly diluted by irrelevant data or sometimes appear on target but still mislead the user in an unwanted direction. One of the intentional, sometimes vicious manipulations of Web databases is a intentionally biased web page like Google bombing that is based on the PageRank algorithm. one of many Web structuring techniques. In this thesis, we regard the World Wide Web as a directed labeled graph that Web pages represent nodes and link edges. In the Present work, we define the label of an edge as having a link context and a similarity measure between link context and target page. With this similarity, we can modify the transition matrix of the PageRank algorithm. By suggesting a motivating example, it is explained how our proposed algorithm can filter the Web intentionally biased web Pages effective about $60\%% rather than the conventional PageRank.

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The Query Optimization Techniques for XML Data using DTDs (DTD를 이용한 XML 데이타에 대한 질의 최적화 기법)

  • Chung, Tae-Sun;Kim, Hyoung-Joo
    • Journal of KIISE:Databases
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    • v.28 no.4
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    • pp.723-731
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    • 2001
  • As XML has become and emerging standard for information exchange on the World Wide Web it has gained attention in database communities of extract information from XML seen as a database model. Data in XML can be mapped to semistructured dta model based on edge-labeled graph and queries can be processed against it Here we propose new query optimization techniques using DTDs(Document Type Definitions) which have the schema information about XML data. Our techniques reduce traditional index techniques Also, as they preserve source database structure, they can process many kinds of complex queries. we implemented our techniques and provided preliminary performance results.

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Implementation of Algebra and Data Model based on a Directed Graph for XML (방향 그래프 기반 XML 데이터 모델과 대수 구현)

  • Park, Seong-Hui;Choe, Eun-Seon;Ryu, Geun-Ho
    • The KIPS Transactions:PartD
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    • v.8D no.6
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    • pp.799-812
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    • 2001
  • As XML become more popular for encoding data and exchanging format on the web, recent work on processing XML Document in DBMS has been performed. However, there is no formal data model for XML, and there is lack of research on XML algebra for processing complex XML query and even the mediators have many restrictions. Therefore, this paper proposes formal data model and algebra based on directed edge labeled graph for XML query. To implement algebra, not only algorithms of operation for algebra are presented, but also they are implemented using access method and path index based on RDBMS or ORDBMS. In particular, experiments to show the effectiveness of the implemented algebra are performed on XML documents on EST data which are semistructured data.

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PageRank Algorithm Using Link Context (링크내역을 이용한 페이지점수법 알고리즘)

  • Lee, Woo-Key;Shin, Kwang-Sup;Kang, Suk-Ho
    • Journal of KIISE:Databases
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    • v.33 no.7
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    • pp.708-714
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    • 2006
  • The World Wide Web has become an entrenched global medium for storing and searching information. Most people begin at a Web search engine to find information, but the user's pertinent search results are often greatly diluted by irrelevant data or sometimes appear on target but still mislead the user in an unwanted direction. One of the intentional, sometimes vicious manipulations of Web databases is Web spamming as Google bombing that is based on the PageRank algorithm, one of the most famous Web structuring techniques. In this paper, we regard the Web as a directed labeled graph that Web pages represent nodes and the corresponding hyperlinks edges. In the present work, we define the label of an edge as having a link context and a similarity measure between link context and the target page. With this similarity, we can modify the transition matrix of the PageRank algorithm. A motivating example is investigated in terms of the Singular Value Decomposition with which our algorithm can outperform to filter the Web spamming pages effectively.