Annotated document: Scoring and ranking method

Syarifah Bahiyah Rahayu, Shahrul Azman Mohd Noah

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

Abstract

Semantic annotation represents a metadata of the document based on domain ontology. The purpose of this paper is to present semantic similarity document annotation ranking framework given a user's query. The framework features related concepts inclusion and applies appropriate weighting functions. Our aim is to rank and score semantic document annotation based on document richness. We also compare our approach with other methods using a research prototype retrieval engine, PicoDoc. The system framework of PicoDoc is based on OCAS2008 ontology. In this experiment, we are using a real-life dataset from news article corpus from ABC and BBC. The experiment shows promising results in retrieving related information using the proposed framework.

Original languageEnglish
Title of host publication2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011
Pages167-170
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011 - Putrajaya
Duration: 28 Jun 201129 Jun 2011

Other

Other2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011
CityPutrajaya
Period28/6/1129/6/11

Fingerprint

Semantics
Ontology
Metadata
Experiments
Engines

Keywords

  • concept spreading
  • relevance

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Information Systems

Cite this

Rahayu, S. B., & Mohd Noah, S. A. (2011). Annotated document: Scoring and ranking method. In 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011 (pp. 167-170). [5995783] https://doi.org/10.1109/STAIR.2011.5995783

Annotated document : Scoring and ranking method. / Rahayu, Syarifah Bahiyah; Mohd Noah, Shahrul Azman.

2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. p. 167-170 5995783.

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

Rahayu, SB & Mohd Noah, SA 2011, Annotated document: Scoring and ranking method. in 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011., 5995783, pp. 167-170, 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/STAIR.2011.5995783
Rahayu SB, Mohd Noah SA. Annotated document: Scoring and ranking method. In 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. p. 167-170. 5995783 https://doi.org/10.1109/STAIR.2011.5995783
Rahayu, Syarifah Bahiyah ; Mohd Noah, Shahrul Azman. / Annotated document : Scoring and ranking method. 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. pp. 167-170
@inproceedings{3cbdfdb14b334b888371213e158d49d1,
title = "Annotated document: Scoring and ranking method",
abstract = "Semantic annotation represents a metadata of the document based on domain ontology. The purpose of this paper is to present semantic similarity document annotation ranking framework given a user's query. The framework features related concepts inclusion and applies appropriate weighting functions. Our aim is to rank and score semantic document annotation based on document richness. We also compare our approach with other methods using a research prototype retrieval engine, PicoDoc. The system framework of PicoDoc is based on OCAS2008 ontology. In this experiment, we are using a real-life dataset from news article corpus from ABC and BBC. The experiment shows promising results in retrieving related information using the proposed framework.",
keywords = "concept spreading, relevance",
author = "Rahayu, {Syarifah Bahiyah} and {Mohd Noah}, {Shahrul Azman}",
year = "2011",
doi = "10.1109/STAIR.2011.5995783",
language = "English",
isbn = "9781612843537",
pages = "167--170",
booktitle = "2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011",

}

TY - GEN

T1 - Annotated document

T2 - Scoring and ranking method

AU - Rahayu, Syarifah Bahiyah

AU - Mohd Noah, Shahrul Azman

PY - 2011

Y1 - 2011

N2 - Semantic annotation represents a metadata of the document based on domain ontology. The purpose of this paper is to present semantic similarity document annotation ranking framework given a user's query. The framework features related concepts inclusion and applies appropriate weighting functions. Our aim is to rank and score semantic document annotation based on document richness. We also compare our approach with other methods using a research prototype retrieval engine, PicoDoc. The system framework of PicoDoc is based on OCAS2008 ontology. In this experiment, we are using a real-life dataset from news article corpus from ABC and BBC. The experiment shows promising results in retrieving related information using the proposed framework.

AB - Semantic annotation represents a metadata of the document based on domain ontology. The purpose of this paper is to present semantic similarity document annotation ranking framework given a user's query. The framework features related concepts inclusion and applies appropriate weighting functions. Our aim is to rank and score semantic document annotation based on document richness. We also compare our approach with other methods using a research prototype retrieval engine, PicoDoc. The system framework of PicoDoc is based on OCAS2008 ontology. In this experiment, we are using a real-life dataset from news article corpus from ABC and BBC. The experiment shows promising results in retrieving related information using the proposed framework.

KW - concept spreading

KW - relevance

UR - http://www.scopus.com/inward/record.url?scp=80052570261&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80052570261&partnerID=8YFLogxK

U2 - 10.1109/STAIR.2011.5995783

DO - 10.1109/STAIR.2011.5995783

M3 - Conference contribution

AN - SCOPUS:80052570261

SN - 9781612843537

SP - 167

EP - 170

BT - 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011

ER -