Retrieval effectiveness of an ontology-based model for information selection

Khan, Latifur; McLeod, Dennis; Hovy, Eduard

doi:10.1007/s00778-003-0105-1

Cited by 118 publications

(68 citation statements)

References 24 publications

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“…As stated in [8] recall for the ontology-based query expansion outperforms recall for keyword-based techniques. For query cases expanded by the concepts of children, usually the precision increases, but may decrease, if ancestors' concepts are included.…”

Section: Practical Challenges and Related Workmentioning

confidence: 94%

Towards Evaluating the Impact of Ontologies on the Quality of a Digital Library Alerting System

Huhn

Höfner

Kießling

2005

Research and Advanced Technology for Digital Libraries

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Abstract. Advanced personalization techniques are required to cope with novel challenges posed by attribute-rich digital libraries. At the heart of our deeply personalized alerting system is one extensible preference model that serves all purposes. In this paper we focus on ontology and quality assessment in conjunction with our search technology Preference XPath and XML-based semantic annotations of digital library multimedia objects. We evaluate the impacts of automatic query expansion by ontologies by embedding our alerting system PNews as a black box or a glass box in a test lab. It changes configuration parameters on its own, feeds test cases to P-News, compares the results of different configurations, and stores the result set for further evaluations. The most important indications of this work in progress are: The use of ontologies improves the quality of the result set, generates further results of higher quality, and implies the use of knowledge to reduce a loss of focus.

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Section: Practical Challenges and Related Workmentioning

confidence: 94%

Towards Evaluating the Impact of Ontologies on the Quality of a Digital Library Alerting System

Huhn

Höfner

Kießling

2005

Research and Advanced Technology for Digital Libraries

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“…Khan in [28] proposes a concept-based model using domain-dependent ontologies. In this method he uses an automatic disambiguation algorithm which prunes irrelevant concepts.…”

Section: Related Workmentioning

confidence: 99%

Semantic Indexing of Web Documents Based on Domain Ontology

Dennai¹,

Benslimane²

2015

IJITCS

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Abstract-The first phase of reverse engineering of weboriented applications is the extraction of concepts hidden in HTML pages including tables, lists and forms, or marked in XML documents. In this paper, we present an approach to index semantically these two sources of information (HTML page and XML document) using on the one hand, domain ontology to validate the extracted concepts and on the other hand the similarity measurement between ontology concepts with the aim of enrichment the index. This approach will be conceived in three steps (modeling, attaching and Enrichment) and thereafter, it will be realized and implemented by examples. The obtained results lead to better re-engineering of web applications and subsequently a distinguished improvement in the web structuring.

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“…The Vector Space Model (VSM) is one of the classical models for information retrieval over text collections and has been recently used for information retrieval over XML documents [2] and ontology-based sources [3]. Let T = {t 1 , .…”

Section: Naming Functions For the Vector Space Modelmentioning

confidence: 99%

Naming Functions for the Vector Space Model

Tzitzikas

Theoharis

2007

Lecture Notes in Computer Science

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Abstract. The Vector Space Model (VSM) is probably the most widely used model for retrieving information from text collections (and recently from over other kinds of corpi). Assuming this model, we study the problem of finding the best query that "names" (or describes) a given (unordered or ordered) set of objects. We formulate several variations of this problem and we provide methods and algorithms for solving them.

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Retrieval effectiveness of an ontology-based model for information selection

Abstract: Technology in the field of digital media generates huge amounts of non-textual information, audio, video, and images, along

Cited by 118 publications

References 24 publications

Towards Evaluating the Impact of Ontologies on the Quality of a Digital Library Alerting System

Towards Evaluating the Impact of Ontologies on the Quality of a Digital Library Alerting System

Semantic Indexing of Web Documents Based on Domain Ontology

Naming Functions for the Vector Space Model

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