Querying Web Metadata: Native score management and text support in databases

Download

index.pdf

Date

2004-12-01

Author

Ozsoyoglu, G
Altıngövde, İsmail Sengör
Al-Hamdani, A
Ozel, SA
Ulusoy, O
Ozsoyoglu, ZM

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

140
views

0
downloads

In this article, we discuss the issues involved in adding a native score management system to object-relational databases; to be used in querying Web metadata (that describes the semantic content of Web resources). The Web metadata model is based on topics (representing entities), relationships among topics (called metalinks), and importance scores (sideway values) of topic and metalinks. We extend database relations with scoring functions and importance scores. We add to SQL score-management clauses with well-defined semantic, and propose the sideway-value algebra (SVA), to evaluate the extended SQL queries. SQL extensions and the SVA algebra are illustrated through two Web resources, namely, the DBLP Bibliography and the SIGMOD Anthology.

Subject Keywords

Information Systems

URI

https://hdl.handle.net/11511/45643

Journal

ACM TRANSACTIONS ON DATABASE SYSTEMS

DOI

https://doi.org/10.1145/1042046.1042047

Collections

Department of Computer Engineering, Article

Suggestions

OpenMETU
Core

Incremental view maintenance in object-oriented databases Alhajj, R; Polat, Faruk (Association for Computing Machinery (ACM), 1998-06-01) A database management system should support views to facilitate filtering of information in order to have only necessary and required information available to users with minimal delay Although a lot of research efforts concentrated on views within the conventional relational model, much more effort is required when object-oriented models are considered. However, supporting views is only a step forward in achieving the purpose that requires improving the performance of the system by considering incremental m...
Characterizing web search queries that match very few or no results Altıngövde, İsmail Sengör; Cambazoglu, Berkant Barla; Ozcan, Rifat; Sarigil, Erdem; Ulusoy, Özgür (2012-12-19) Despite the continuous efforts to improve the web search quality, a non-negligible fraction of user queries end up with very few or even no matching results in leading web search engines. In this work, we provide a detailed characterization of such queries based on an analysis of a real-life query log. Our experimental setup allows us to characterize the queries with few/no results and compare the mechanisms employed by the major search engines in handling them.
Comparison of feature-based and image registration-based retrieval of image data using multidimensional data access methods Arslan, Serdar; Yazıcı, Adnan; Sacan, Ahmet; Toroslu, İsmail Hakkı; Acar, Esra (Elsevier BV, 2013-07-01) In information retrieval, efficient similarity search in multimedia collections is a critical task In this paper, we present a rigorous comparison of three different approaches to the image retrieval problem, including cluster-based indexing, distance-based indexing, and multidimensional scaling methods. The time and accuracy trade-offs for each of these methods are demonstrated on three different image data sets. Similarity of images is obtained either by a feature-based similarity measure using four MPEG-...
Success factors of software development in a distributed setting : a collective case study Bulğurcu, Burcu; Bilgen, Semih; Department of Information Systems (2006) This study represents an attempt to address and discuss some of the most significant questions in the research on virtual software development work today. The research is held as a collective case study, including three cases with distinctive characteristics in both the software projects investigated and the types of collaborations. The study aims to reveal the success factors in virtual work, especially on the issues of communication, coordination and collaboration, by presenting the unfavorable experience...
A monolithic approach to automated composition of semantic web services with the Event Calculus Okutan, Cagla; Çiçekli, Fehime Nihan (Elsevier BV, 2010-07-01) In this paper, a web service composition and execution framework is presented for semantically -annotated web services. A monolithic approach to automated web service composition and execution problem is chosen, which provides some benefits by separating composition and execution phases. An AI planning method using a logical formalism, namely Abductive Event Calculus, is chosen for the composition phase. This formalism allows one to generate a narrative of actions and temporal orderings using abductive plan...

Citation Formats

G. Ozsoyoglu, İ. S. Altıngövde, A. Al-Hamdani, S. Ozel, O. Ulusoy, and Z. Ozsoyoglu, “Querying Web Metadata: Native score management and text support in databases,” ACM TRANSACTIONS ON DATABASE SYSTEMS, pp. 581–634, 2004, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/45643.