Post-retrieval search hit clustering to improve information retrieval effectiveness: Two digital forensics case studies

2011 ◽  
Vol 51 (4) ◽  
pp. 732-744 ◽  
Author(s):  
Nicole Lang Beebe ◽  
Jan Guynes Clark ◽  
Glenn B. Dietrich ◽  
Myung S. Ko ◽  
Daijin Ko
Keyword(s):  
Information Retrieval ◽  
Case Studies ◽  
Digital Forensics ◽  
Retrieval Effectiveness

The use of thesauri in online retrieval

1984 ◽  
Vol 8 (2) ◽  
pp. 63-66 ◽  
Author(s):  
C.P.R. Dubois
Keyword(s):  
Information Retrieval ◽  
Data Base ◽  
Case Studies ◽  
Controlled Vocabulary ◽  
Free Text ◽  
Data Bases ◽  
Online Data ◽  
Controlled Vocabularies ◽  
Semantic Maps ◽  
Actual Use

The controlled vocabulary versus the free text approach to information retrieval is reviewed from the mid 1960s to the early 1980s. The dominance of the free text approach following the Cranfield tests is increasingly coming into question as a result of tests on existing online data bases and case studies. This is supported by two case studies on the Coffeeline data base. The differences and values of the two approaches are explored considering thesauri as semantic maps. It is suggested that the most appropriate evaluatory technique for indexing languages is to study the actual use made of various techniques in a wide variety of search environments. Such research is becoming more urgent. Economic and other reasons for the scarcity of online thesauri are reviewed and suggestions are made for methods to secure revenue from thesaurus display facilities. Finally, the promising outlook for renewed develop ment of controlled vocabularies with more effective online display techniques is mentioned, although such development must be based on firm research of user behaviour and needs.

scholarly journals Linked Data in a Nutshell: A Starter Kit of Selected Annotated Bibliography and Resources for Academic Librarians: Part One

2018 ◽  
Vol 3 (1) ◽  
pp. 36
Author(s):  
Weiling Liu
Keyword(s):  
Information Retrieval ◽  
Case Studies ◽  
Linked Data ◽  
Annotated Bibliography ◽  
Academic Librarians ◽  
English Only ◽  
Current State ◽  
The Many ◽  
Data Evolution ◽  
The Web

It has been a decade since Tim Berners-Lee coined Linked Data in 2006. More and more Linked Data datasets have been made available for information retrieval on the Web.  It is essential for librarians, especially academic librarians, to keep up with the state of Linked Data.  There is so much information about Linked Data that one may wonder where to begin when they want to join the Linked Data community. With this in mind, the author compiled this annotated bibliography as a starter kit.  Due to the many resources available, this list focuses on literature in English only and of specific projects, case studies, research studies, and tools that may be helpful to academic librarians, in addition to the overview of Linked Data concept and the current state of Linked Data evolution and adoption.

Setting up measuring campaigns for integrated wastewater modelling

1999 ◽  
Vol 39 (4) ◽  
pp. 257-268 ◽  
Author(s):  
Peter A. Vanrolleghem ◽  
Wolfgang Schilling ◽  
Wolfgang Rauch ◽  
Peter Krebs ◽  
Hans Aalderink
Keyword(s):  
Sensitivity Analysis ◽  
Information Retrieval ◽  
Case Studies ◽  
Suspended Solids ◽  
Management Systems ◽  
Wastewater Management ◽  
Urban Wastewater ◽  
Covering Problems ◽  
Step Procedure

The steps of calibration/confirmation of models in a suggested 11-step procedure for analysis, planning and implementation of integrated urban wastewater management systems is focused upon in this paper. Based on ample experience obtained in comprehensive investigations throughout Europe recommendations have been formulated for design of measuring campaigns. The inclusion of iteration in the overall planning of measuring campaigns is advised and the use of preliminary sensitivity analysis is shown to allow maximisation of information retrieval from experimental efforts. Case studies covering problems related to suspended solids, specific contaminants, hygienic hazards and total pollutant loss illustrate the recommendations presented.

UTILIZING LOCAL CONTEXT FOR EFFECTIVE INFORMATION RETRIEVAL

2008 ◽  
Vol 07 (01) ◽  
pp. 5-21 ◽  
Author(s):  
TANVEER J. SIDDIQUI ◽  
UMA SHANKER TIWARY
Keyword(s):  
Information Retrieval ◽  
Similarity Measure ◽  
Question Answering ◽  
Graph Matching ◽  
Information Filtering ◽  
Similarity Measures ◽  
Local Context ◽  
Structural Variations ◽  
Retrieval Effectiveness ◽  
Relational Similarity

Our research focuses on the use of local context through relation matching to improve retrieval effectiveness. An information retrieval (IR) model that integrates relation and keyword matching has been used in this work. The model takes advantage of any existing relational similarity between documents and query to improve retrieval effectiveness. It gives high rank to a document in which the query concepts are involved in similar relationships as in the query, as compared to those in which they are related differently. A conceptual graph (CG) representation has been used to capture relationship between concepts. A simplified form of graph matching has been used to keep our model computationally tractable. Structural variations have been captured during matching through simple heuristics. Four different CG similarity measures have been proposed and used to evaluate performance of our model. We observed a maximum improvement of 7.37% in precision with the second CG similarity measure. The document collection used in this study is CACM-3204. CG similarity measure proposed by us is simple, flexible and scalable and can find application in many IR related tasks like information filtering, information extraction, question answering, document summarization, etc.

scholarly journals When time meets information retrieval: Past proposals, current plans and future trends

2016 ◽  
Vol 42 (6) ◽  
pp. 725-747 ◽  
Author(s):  
Bilel Moulahi ◽  
Lynda Tamine ◽  
Sadok Ben Yahia
Keyword(s):  
Information Retrieval ◽  
Web Search ◽  
Specific Information ◽  
Time Dimension ◽  
Retrieval Models ◽  
Document Ranking ◽  
Common Information ◽  
Retrieval Effectiveness ◽  
Ranking Models ◽  
Tremendous Amount

With the advent of Web search and the large amount of data published on the Web sphere, a tremendous amount of documents become strongly time-dependent. In this respect, the time dimension has been extensively exploited as a highly important relevance criterion to improve the retrieval effectiveness of document ranking models. Thus, a compelling research interest is going on the temporal information retrieval realm, which gives rise to several temporal search applications. In this article, we intend to provide a scrutinizing overview of time-aware information retrieval models. We specifically put the focus on the use of timeliness and its impact on the global value of relevance as well as on the retrieval effectiveness. First, we attempt to motivate the importance of temporal signals, whenever combined with other relevance features, in accounting for document relevance. Then, we review the relevant studies standing at the crossroads of both information retrieval and time according to three common information retrieval aspects: the query level, the document content level and the document ranking model level. We organize the related temporal-based approaches around specific information retrieval tasks and regarding the task at hand, we emphasize the importance of results presentation and particularly timelines to the end user. We also report a set of relevant research trends and avenues that can be explored in the future.

In quest of new document relations: evaluating co-opinion relations between co-citations and its impact on Information retrieval effectiveness

2019 ◽  
Vol 119 (2) ◽  
pp. 987-1008 ◽  
Author(s):  
Maryam Yaghtin ◽  
Hajar Sotudeh ◽  
Mahdieh Mirzabeigi ◽  
Seyed Mostafa Fakhrahmad ◽  
Mehdi Mohammadi
Keyword(s):  
Information Retrieval ◽  
Retrieval Effectiveness
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