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Current Search:
All of 'Information' and 'retrieval' in all fields;
597 items found
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Displaying Results 76 - 100 of 597 on page 4 of 24
Marked
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Dublin City University at CLEF 2005: Multi-8 Two-Years-On Merging Experiments
(2006)
Lam-Adesina, Adenike M.; Jones, Gareth J.F.
Dublin City University at CLEF 2005: Multi-8 Two-Years-On Merging Experiments
(2006)
Lam-Adesina, Adenike M.; Jones, Gareth J.F.
Abstract:
This year Dublin City University participated in the CLEF 2005 Mulit-8 Two-Years-On multilingual merging task. The objective of our experiments was to test a range of standard techniques for merging ranked lists of retrieved documents to see if consistent trends emerge for lists generated using different information retrieval systems. Our results show that the success of merging techniques can be dependent on the retrieval system used, and in consequence the best merging techniques to adopt cannot be recommended independent of knowing the retrieval system to be used.
http://doras.dcu.ie/16277/
Marked
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Exeter at CLEF 2003: Experiments with machine translation for monolingual, bilingual and multilingual retrieval
(2004)
Lam-Adesina, Adenike M. ; Jones, Gareth J.F.
Exeter at CLEF 2003: Experiments with machine translation for monolingual, bilingual and multilingual retrieval
(2004)
Lam-Adesina, Adenike M. ; Jones, Gareth J.F.
Abstract:
The University of Exeter group participated in the monolingual, bilingual and multilingual-4 retrieval tasks this year. The main focus of our investigation this year was the small multilingual task comprising four languages, French, German, Spanish and English. We adopted a document translation strategy and tested four merging techniques to combine results from the separate document collections, as well as a merged collection strategy. For both the monolingual and bilingual tasks we explored the use of a parallel collection for query expansion and term weighting, and also experimented with extending synonym information to conflate British and American English word spellings.
http://doras.dcu.ie/16272/
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Beyond English text: Multilingual and multimedia information retrieval.
(2005)
Jones, Gareth J.F.
Beyond English text: Multilingual and multimedia information retrieval.
(2005)
Jones, Gareth J.F.
Abstract:
None
http://doras.dcu.ie/16275/
Marked
Mark
Exeter at CLEF 2003: Cross-language spoken document retrieval experiments
(2004)
Jones, Gareth J.F.; Lam-Adesina, Adenike
Exeter at CLEF 2003: Cross-language spoken document retrieval experiments
(2004)
Jones, Gareth J.F.; Lam-Adesina, Adenike
Abstract:
Cross-Language Spoken Document Retrieval (CLSDR) combines both the complexities of retrieval from collections characterized by speech transcription errors and language translation issues between search requests and documents. Thus achieving effective retrieval in this domain is potentially very challenging. For the CLEF 2003 SDR task we adopted a standard query translation strategy using commercial machine translation tools and explored pseudo-relevance feedback using a small contemporaneous collection and a much larger text collection from a different time period.
http://doras.dcu.ie/16271/
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The role of context in information retrieval
(2004)
Jones, Gareth J.F.; Brown, Peter J.
The role of context in information retrieval
(2004)
Jones, Gareth J.F.; Brown, Peter J.
http://doras.dcu.ie/16208/
Marked
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DCU at VideoClef 2008
(2008)
Newman, Eamonn; Jones, Gareth J.F.
DCU at VideoClef 2008
(2008)
Newman, Eamonn; Jones, Gareth J.F.
Abstract:
We describe a baseline system for the VideoCLEF Vid2RSS task. The system uses an unaltered off-the-shelf Information Retrieval system. ASR content is indexed using default stemming and stopping methods. The subject categories are populated by using the category label as a query on the collection, and assigning the retrieved items to that particular category. We describe the results of the system and provide some high-level analysis of its performance.
http://doras.dcu.ie/16188/
Marked
Mark
Integrating memory context into personal information re-finding
(2008)
Chen , Yi ; Jones, Gareth J.F.
Integrating memory context into personal information re-finding
(2008)
Chen , Yi ; Jones, Gareth J.F.
Abstract:
Personal information archives are emerging as a new challenge for information retrieval (IR) techniques. The user’s memory plays a greater role in retrieval from person archives than from other more traditional types of information collection (e.g. the Web), due to the large overlap of its content and individual human memory of the captured material. This paper presents a new analysis on IR of personal archives from a cognitive perspective. Some existing work on personal information management (PIM) has begun to employ human memory features into their IR systems. In our work we seek to go further, we assume that for IR in PIM system terms can be weighted not only by traditional IR methods, but also taking the user’s recall reliability into account. We aim to develop algorithms that combine factors from both the system side and the user side to achieve more effective searching. In this paper, we discuss possible applications of human memory theories for this algorithm, and present re...
http://doras.dcu.ie/16135/
Marked
Mark
A strategy for evaluating search of “Real” personal information archives
(2011)
Jones, Gareth J.F.; Chen, Yi
A strategy for evaluating search of “Real” personal information archives
(2011)
Jones, Gareth J.F.; Chen, Yi
Abstract:
Personal information archives (PIAs) can include materials from many sources, e.g. desktop and laptop computers, mobile phones, etc. Evaluation of personal search over these collections is problematic for reasons relating to the personal and private nature of the data and associated information needs and measuring system response effectiveness. Conventional information retrieval (IR) evaluation involving use of Cranfield type test collections to establish retrieval effectiveness and laboratory testing of interactive search behaviour have to be re-thought in this situation. One key issue is that personal data and information needs are very different to search of more public third party datasets used in most existing evaluations. Related to this, understanding the issues of how users interact with a search system for their personal data is important in developing search in this area on a well grounded basis. In this proposal we suggest an alternative IR evaluation strategy which prese...
http://doras.dcu.ie/16435/
Marked
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Document expansion for text-based image retrieval at WikipediaMM 2010
(2010)
Min, Jinming; Leveling, Johannes; Jones, Gareth J.F.
Document expansion for text-based image retrieval at WikipediaMM 2010
(2010)
Min, Jinming; Leveling, Johannes; Jones, Gareth J.F.
Abstract:
We describe and analyze our participation in the Wikipedi- aMM task at ImageCLEF 2010. Our approach is based on text-based image retrieval using information retrieval techniques on the metadata documents of the images. We submitted two English monolingual runs and one multilingual run. The monolingual runs used the query to retrieve the metadata document with the query and document in the same language; the multilingual run used queries in one language to search the metadata provided in three languages. The main focus of our work was using the English query to retrieve images based on the English meta-data. For these experiments the English metadata data was expanded using an external resource - DBpedia. This study expanded on our application of document expansion in our previous participation in Image-CLEF 2009. In 2010 we combined document expansion with a document reduction technique which aimed to include only topically important words to the metadata. Our experiments used the O...
http://doras.dcu.ie/15841/
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Overview of the CLEF-2007 cross-language speech retrieval track
(2007)
Pecina, Pavel ; Hoffmannov, Petra ; Jones, Gareth J.F.; Zhang, Ying ; W. Oard, Douglas
Overview of the CLEF-2007 cross-language speech retrieval track
(2007)
Pecina, Pavel ; Hoffmannov, Petra ; Jones, Gareth J.F.; Zhang, Ying ; W. Oard, Douglas
Abstract:
The CLEF-2007 Cross-Language Speech Retrieval (CL-SR) track included two tasks: to identify topically coherent segments of English interviews in a known-boundary condition, and to identify time stamps marking the beginning of topically relevant passages in Czech interviews in an unknown-boundary condition. Six teams participated in the English evaluation, performing both monolingual and cross-language searches of ASR transcripts, automatically generated metadata, and manually generated metadata. Four teams participated in the Czech evaluation, performing monolingual searches of automatic speech recognition transcripts.
http://doras.dcu.ie/16192/
Marked
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Overview of the CLEF-2006 cross-language speech retrieval track
(2007)
W. Oard, Douglas ; Wang, Jianqiang ; Jones, Gareth J.F.; W. White, Ryen ; Pecina, Pavel...
Overview of the CLEF-2006 cross-language speech retrieval track
(2007)
W. Oard, Douglas ; Wang, Jianqiang ; Jones, Gareth J.F.; W. White, Ryen ; Pecina, Pavel ; Soergel, Dagobert ; Huang, Xiaoli ; Shafran, Izhak
Abstract:
The CLEF-2006 Cross-Language Speech Retrieval (CL-SR) track included two tasks: to identify topically coherent segments of English interviews in a known-boundary condition, and to identify time stamps marking the beginning of topically relevant passages in Czech interviews in an unknown-boundary condition. Five teams participated in the English evaluation, performing both monolingual and cross-language searches of ASR transcripts, automatically generated metadata, and manually generated metadata. Results indicate that the 2006 evaluation topics are more challenging than those used in 2005, but that cross-language searching continued to pose no unusual challenges when compared with collections of character-coded text. Three teams participated in the Czech evaluation, but no team achieved results comparable to those obtained with English interviews. The reasons for this outcome are not yet clear.
http://doras.dcu.ie/16197/
Marked
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DCU@FIRE2010: term conflation, blind relevance feedback, and cross-language IR with manual and automatic query translation
(2010)
Leveling, Johannes; Ganguly, Debasis; Jones, Gareth J.F.
DCU@FIRE2010: term conflation, blind relevance feedback, and cross-language IR with manual and automatic query translation
(2010)
Leveling, Johannes; Ganguly, Debasis; Jones, Gareth J.F.
Abstract:
For the first participation of Dublin City University (DCU) in the FIRE 2010 evaluation campaign, information retrieval (IR) experiments on English, Bengali, Hindi, and Marathi documents were performed to investigate term conation (different stemming approaches and indexing word prefixes), blind relevance feedback, and manual and automatic query translation. The experiments are based on BM25 and on language modeling (LM) for IR. Results show that term conation always improves mean average precision (MAP) compared to indexing unprocessed word forms, but different approaches seem to work best for different languages. For example, in monolingual Marathi experiments indexing 5-prefixes outperforms our corpus-based stemmer; in Hindi, the corpus-based stemmer achieves a higher MAP. For Bengali, the LM retrieval model achieves a much higher MAP than BM25 (0.4944 vs. 0.4526). In all experiments using BM25, blind relevance feedback yields considerably higher MAP in comparison to experiments ...
http://doras.dcu.ie/15842/
Marked
Mark
Biometric response as a source of query independent scoring in lifelog retrieval
(2010)
Kelly, Liadh; Jones, Gareth J.F.
Biometric response as a source of query independent scoring in lifelog retrieval
(2010)
Kelly, Liadh; Jones, Gareth J.F.
Abstract:
Personal lifelog archives contain digital records captured from an individual’s daily life, e.g. emails, web pages downloaded and SMSs sent or received. While capturing this information is becoming increasingly easy, subsequently locating relevant items in response to user queries from within these archives is a significant challenge. This paper presents a novel query independent static biometric scoring approach for re-ranking result lists retrieved from a lifelog using a BM25 model for content and content + context data. For this study we explored the utility of galvanic skin response (GSR) and skin temperature (ST) associated with past experience of items as a measure of potential future significance of items. Results obtained indicate that our static scoring techniques are useful in re-ranking retrieved result lists.
http://doras.dcu.ie/15916/
Marked
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Overview of VideoCLEF 2009: New perspectives on speech-based multimedia content enrichment
(2009)
Larson, Martha ; Newman, Eamonn; Jones, Gareth J.F.
Overview of VideoCLEF 2009: New perspectives on speech-based multimedia content enrichment
(2009)
Larson, Martha ; Newman, Eamonn; Jones, Gareth J.F.
Abstract:
VideoCLEF 2009 offered three tasks related to enriching video content for improved multimedia access in a multilingual environment. For each task, video data (Dutch-language television, predominantly documentaries) accompanied by speech recognition transcripts were provided. The Subject Classification Task involved automatic tagging of videos with subject theme labels. The best performance was achieved by approaching subject tagging as an information retrieval task and using both speech recognition transcripts and archival metadata. Alternatively, classifiers were trained using either the training data provided or data collected from Wikipedia or via general Web search. The Affect Task involved detecting narrative peaks, defined as points where viewers perceive heightened dramatic tension. The task was carried out on the “Beeldenstorm” collection containing 45 short-form documentaries on the visual arts. The best runs exploited affective vocabulary and audience directed speech. Othe...
http://doras.dcu.ie/16183/
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Simple vs. sophisticated approaches for patent prior-art search
(2011)
Magdy, Walid; Lopez, Patrice; Jones, Gareth J.F.
Simple vs. sophisticated approaches for patent prior-art search
(2011)
Magdy, Walid; Lopez, Patrice; Jones, Gareth J.F.
Abstract:
Patent prior-art search is concerned with finding all filed patents relevant to a given patent application. We report a comparison between two search approaches representing the state-of-the-art in patent prior-art search. The first approach uses simple and straightforward information retrieval (IR) techniques, while the second uses much more sophisticated techniques which try to model the steps taken by a patent examiner in patent search. Experiments show that the retrieval effectiveness using both techniques is statistically indistinguishable when patent applications contain some initial citations. However, the advanced search technique is statistically better when no initial citations are provided. Our findings suggest that less time and effort can be exerted by applying simple IR approaches when initial citations are provided.
http://doras.dcu.ie/16396/
Marked
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Dublin City University at CLEF 2007: Cross-Language Speech Retrieval Experiments
(2008)
Zhang, Ying; Jones, Gareth J.F.; Zhang, Ke
Dublin City University at CLEF 2007: Cross-Language Speech Retrieval Experiments
(2008)
Zhang, Ying; Jones, Gareth J.F.; Zhang, Ke
Abstract:
The Dublin City University participation in the CLEF 2007 CL-SR English task concentrated primarily on issues of topic translation. Our retrieval system used the BM25F model and pseudo relevance feedback. Topics were translated into English using the Yahoo! BabelFish free online service combined with domain-specific translation lexicons gathered automatically from Wikipedia. We explored alternative topic translation methods using these resources. Our results indicate that extending machine translation tools using automatically generated domainspecific translation lexicons can provide improved CLIR effectiveness for this task.
http://doras.dcu.ie/16669/
Marked
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Finding new news: novelty detection in broadcast news
(2005)
Gaughan, Georgina; Smeaton, Alan F.
Finding new news: novelty detection in broadcast news
(2005)
Gaughan, Georgina; Smeaton, Alan F.
Abstract:
The automatic detection of novelty, or newness, as part of an information retrieval system would greatly improve a searcher’s experience by presenting “documents” in order of how much extra information they add to what is already known instead of how similar they are to a user’s query. In this paper we present a novelty detection system evaluated on the AQUAINT text collection as part of our TREC 2004 Novelty Track experiments. Subsequent to participation in TREC, the algorithm has been evaluated on another collection with its parameters optimized and we present those results here. We also discuss how we are extending the text-only approach to novelty detection to also include input from video analysis.
http://doras.dcu.ie/262/
Marked
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Information Retrieval Assisted Object Segmentation In Video.
(2008)
KOKARAM, ANIL CHRISTOPHER; RING, DANIEL
Information Retrieval Assisted Object Segmentation In Video.
(2008)
KOKARAM, ANIL CHRISTOPHER; RING, DANIEL
Abstract:
Accurate object segmentation in video is difficult. The dynamic nature of the medium causes drifts in the feature spaces traditionally used in segmentation of objects in still images. For example, colour distributions, shape models and motion tracks of objects typically vary and / or deteriorate over time, resulting in the need to explicitly correct the object by hand in every few frames. The presented work exploits recent feature-based object detection work from information retrieval (IR) literature to propagate information from frames that are far apart to greatly reduce the amount of time required to manually correct segmentations.
http://hdl.handle.net/2262/39332
Marked
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Focused browsing: Providing topical feedback for link selection in hypertext browsing
(2008)
Jones, Gareth J.F.; Li, Quixiang
Focused browsing: Providing topical feedback for link selection in hypertext browsing
(2008)
Jones, Gareth J.F.; Li, Quixiang
Abstract:
When making decisions about whether to navigate to a linked page, users of standard browsers of hypertextual documents returned by an information retrieval search engine are entirely reliant on the content of the anchortext associated with links and the surrounding text. This information is often insufficient for them to make reliable decisions about whether to open a linked page, and they can find themselves following many links to pages which are not helpful with subsequent return to the previous page. We describe a prototype focusing browsing application which provides feedback on the likely usefulness of each page linked from the current one, and a term cloud preview of the contents of each linked page. Results from an exploratory experiment suggest that users can find this useful in improving their search efficiency.
http://doras.dcu.ie/16502/
Marked
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Meaning in philosophy and meaning in information retrieval (IR)
(2009)
Thornley, Clare V.; Gibb, Forbes
Meaning in philosophy and meaning in information retrieval (IR)
(2009)
Thornley, Clare V.; Gibb, Forbes
Abstract:
Purpose -The paper explores the question of whether the differences between meaning in philosophy and meaning in information retrieval (IR) have implications for the use of philosophy in supporting research in IR. Design/methodology/approach - Conceptual analysis and literature review. Findings - There are some differences in the role of meaning in terms of purpose, content and use which should be clarified in order to assist a productive relationship between the philosophy of language and IR. Research Implications -This provides some new theoretical insights into the philosophical context of IR. It suggests that further productive work on the central concepts within IR could be achieved through the use of a methodology which analyses how exactly these concepts are discussed in other disciplines and the implications of any differences in the way in which they may operate in IR. Originality/value - This paper suggests a new perspective on the relationship between philosophy and IR b...
http://hdl.handle.net/10197/3579
Marked
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Challenges and opportunities of context-aware information access
(2005)
Jones, Gareth J.F.
Challenges and opportunities of context-aware information access
(2005)
Jones, Gareth J.F.
Abstract:
Ubiquitous computing environments embedding a wide range of pervasive computing technologies provide a challenging and exciting new domain for information access. Individuals working in these environments are increasingly permanently connected to rich information resources. An appealing opportunity of these environments is the potential to deliver useful information to individuals either from their previous information experiences or external sources. This information should enrich their life experiences or make them more effective in their endeavours. Information access in ubiquitous computing environments can be made "context-aware" by exploiting the wide range context data available describing the environment, the searcher and the information itself. Realizing such a vision of reliable, timely and appropriate identification and delivery of information in this way poses numerous challenges. A central theme in achieving context-aware information access is the combination ...
http://doras.dcu.ie/441/
Marked
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Coping with noise in a real-world weblog crawler and retrieval system
(2010)
Lanagan, James; Ferguson, Paul; O'Hare, Neil; Smeaton, Alan F.
Coping with noise in a real-world weblog crawler and retrieval system
(2010)
Lanagan, James; Ferguson, Paul; O'Hare, Neil; Smeaton, Alan F.
Abstract:
In this paper we examine the effects of noise when creating a real-world weblog corpus for information retrieval. We focus on the DiffPost (Lee et al. 2008) approach to noise removal from blog pages, examining the difficulties encountered when crawling the blogosphere during the creation of a real-world corpus of blog pages. We introduce and evaluate a number of enhancements to the original DiffPost approach in order to increase the robustness of the algorithm. We then extend DiffPost by looking at the anchor-text to text ratio, and dis- cover that the time-interval between crawls is more impor- tant to the successful application of noise-removal algorithms within the blog context, than any additional improvements to the removal algorithm itself.
http://doras.dcu.ie/15439/
Marked
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TRECVID: evaluating the effectiveness of information retrieval tasks on digital video
(2004)
Smeaton, Alan F.; Over, Paul; Kraaij, Wessel
TRECVID: evaluating the effectiveness of information retrieval tasks on digital video
(2004)
Smeaton, Alan F.; Over, Paul; Kraaij, Wessel
Abstract:
TRECVID is an annual exercise which encourages research in information retrieval from digital video by providing a large video test collection, uniform scoring procedures, and a forum for organizations interested in comparing their results. TRECVID benchmarking covers both interactive and manual searching by end users, as well as the benchmarking of some supporting technologies including shot boundary detection, extraction of some semantic features, and the automatic segmentation of TV news broadcasts into non-overlapping news stories. TRECVID has a broad range of over 40 participating groups from across the world and as it is now (2004) in its 4th annual cycle it is opportune to stand back and look at the lessons we have learned from the cumulative activity. In this paper we shall present a brief and high-level overview of the TRECVID activity covering the data, the benchmarked tasks, the overall results obtained by groups to date and an overview of the approaches taken by selectiv...
http://doras.dcu.ie/372/
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An integrated approach for object shape registration and modeling
(2005)
Adamek, Tomasz; O'Connor, Noel E.; Jones, Gareth J.F.; Murphy, Noel
An integrated approach for object shape registration and modeling
(2005)
Adamek, Tomasz; O'Connor, Noel E.; Jones, Gareth J.F.; Murphy, Noel
Abstract:
In this paper, an integrated approach to fast and efficient construction of statistical shape models is proposed that is a potentially useful tool in Information Retrieval(IR). The tool allows intuitive extraction of accurate contour examples from a set of images using a semi-automatic segmentation approach. The user is allowed to draw on the scene by simply dragging a mouse over the image and creating a set of labelled scribbles for the objects to be segmented. An automatic segmentation algorithm uses the scribbles to partition the scene and extract objects’ contour. A set of labelled points (landmarks) is identified automatically on the set of examples thereby allowing statistical modeling of the objects’ shape. The main contribution of this paper is the new approach to automatic landmark identification eliminating the burden of manual landmarking. The approach utilizes a robust method for pairwise correspondence proposed originally in [1, 2]. The landmarks are used to train stati...
http://doras.dcu.ie/384/
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Searching the Físchlár-NEWS archive on a mobile device
(2002)
Lee, Hyowon; Smeaton, Alan F.
Searching the Físchlár-NEWS archive on a mobile device
(2002)
Lee, Hyowon; Smeaton, Alan F.
Abstract:
The Físchlár-NEWS system provides web-based access to an archive of digitally recorded TV News broadcasts over several months, and has been operational for over a year. Users can browse keyframes, search teletext and have streamed video playback of segments of news broadcasts to their desktops. This paper reports on the development of mFíschlár-NEWS, a version of Físchlár-NEWS which operates on a mobile PDA over a wireless LAN connection. In the design and development of mFíschlár-NEWS we have realised that mobile access to a digital library of video materials is more than just the desktop system on a smaller screen, and the functionality and role that information retrieval techniques play in the mFíschlár-NEWS system are very different to what is present in the desktop system. The paper describes the design, interface, functionality and operational status of this mobile access to a video library.
http://doras.dcu.ie/402/
Displaying Results 76 - 100 of 597 on page 4 of 24
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2002 (16)
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2000 (5)
1999 (7)
1998 (1)
1997 (2)
1994 (2)
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