Search (9 results, page 1 of 1)

  • × author_ss:"Giles, C.L."
  1. Lawrence, S.; Giles, C.L.: Inquirus, the NECI meta search engine (1998) 0.02 
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    Abstract
    Presents Inquirus, a WWW meta search engine which works by downloading and analysing the individual documents. It makes improvements over existing search engines in a number of areas: more useful document summaries incorporating query term context, identification of both pages which no longer exist and pages which no longer contain the query terms, advanced detection of duplicate pages, improved document ranking using proximity information, dramatically improved precision for certain queries by using specific expressive forms, and quick jump links and highlighting when viewing the full document
    Date
    1. 8.1996 22:08:06
    Footnote
    Contribution to a special issue devoted to the Proceedings of the 7th International World Wide Web Conference, held 14-18 April 1998, Brisbane, Australia
    Type
    a
  2. Farooq, U.; Ganoe, C.H.; Carroll, J.M.; Councill, I.G.; Giles, C.L.: Design and evaluation of awareness mechanisms in CiteSeer (2008) 0.01 
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    Abstract
    Awareness has been extensively studied in human computer interaction (HCI) and computer supported cooperative work (CSCW). The success of many collaborative systems hinges on effectively supporting awareness of different collaborators, their actions, and the process of creating shared work products. As digital libraries are increasingly becoming more than just repositories for information search and retrieval - essentially fostering collaboration among its community of users - awareness remains an unexplored research area in this domain. We are investigating awareness mechanisms in CiteSeer, a scholarly digital library for the computer and information science domain. CiteSeer users can be notified of new publication events (e.g., publication of a paper that cites one of their papers) using feeds as notification systems. We present three cumulative user studies - requirements elicitation, prototype evaluation, and naturalistic study - in the context of supporting CiteSeer feeds. Our results indicate that users prefer feeds that place target items in query-relevant contexts, and that preferred context varies with type of publication event. We found that users integrated feeds as part of their broader, everyday activities and used them as planning tools to collaborate with others.
    Date
    29. 7.2008 19:27:22
    Type
    a
  3. Khopkar, Y.; Spink, A.; Giles, C.L.; Shah, P.; Debnath, S.: Search engine personalization : An exploratory study (2003) 0.00 
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  4. Lawrence, S.; Giles, C.L.: Searching the World Wide Web (1998) 0.00 
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  5. Lawrence, S.; Giles, C.L.: Searching the World Wide Web (1998) 0.00 
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  6. Bollacker, K.D.; Lawrence, S.; Giles, C.L.: Discovering relevant scientific literature on the Web (1999) 0.00 
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  7. Zhang, H.; Qiu, B.; Ivanova, K.; Giles, C.L.; Foley, H.C.; Yen, J.: Locality and attachedness-based temporal social network growth dynamics analysis : a case study of evolving nanotechnology scientific collaboration networks (2010) 0.00 
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    Abstract
    The rapid advancement of nanotechnology research and development during the past decade presents an excellent opportunity for a scientometric study because it can provide insights into the dynamic growth of the fast-evolving social networks associated with this field. In this article, we describe a case study conducted on nanotechnology to discover the dynamics that govern the growth process of rapidly advancing scientific-collaboration networks. This article starts with the definition of temporal social networks and demonstrates that the nanotechnology collaboration network, similar to other real-world social networks, exhibits a set of intriguing static and dynamic topological properties. Inspired by the observations that in collaboration networks new connections tend to be augmented between nodes in proximity, we explore the locality elements and the attachedness factor in growing networks. In particular, we develop two distance-based computational network growth schemes, namely the distance-based growth model (DG) and the hybrid degree and distance-based growth model (DDG). The DG model considers only locality element while the DDG is a hybrid model that factors into both locality and attachedness elements. The simulation results from these models indicate that both clustering coefficient rates and the average shortest distance are closely related to the edge densification rates. In addition, the hybrid DDG model exhibits higher clustering coefficient values and decreasing average shortest distance when the edge densification rate is fixed, which implies that combining locality and attachedness can better characterize the growing process of the nanotechnology community. Based on the simulation results, we conclude that social network evolution is related to both attachedness and locality factors.
    Type
    a
  8. Lawrence, S.; Giles, C.L.; Bollaker, K.: Digital libraries and Autonomous Citation Indexing (1999) 0.00 
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    Abstract
    Autonomous Citation Indexing (ACI) automates the construction of citation indexes - Lower cost, wider availability: ACI is completely autonomous - no manual effort is required. This should result in lower cost and wider availability. Broader coverage: Because no manual effort is required, there are few barriers to indexing a broader range of literature, compared to indexes like the Science Citation Index that require manual effort. More timely feedback: Conference papers, technical reports, and preprints can be indexed, providing far more timely feedback in many cases (often such publications appear far in advance of corresponding journal publications). Citation context: ACI groups together the context of citations to a given article, allowing researchers to easily see what is being said and why the article was cited. Benefits for both literature search and evaluation. Freely available: Our implementation of ACI is available at no cost for non-commercial use. Several orgnizations have requested the software and expressed interest in providing an index within their domain, or in using ACI within their own digital libraries.
    Type
    a
  9. Lawrence, S.; Giles, C.L.: Accessibility and distribution of information on the Web (1999) 0.00 
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    Abstract
    Search engine coverage relative to the estimated size of the publicly indexable web has decreased substantially since December 97, with no engine indexing more than about 16% of the estimated size of the publicly indexable web. (Note that many queries can be satisfied with a relatively small database). Search engines are typically more likely to index sites that have more links to them (more 'popular' sites). They are also typically more likely to index US sites than non-US sites (AltaVista is an exception), and more likely to index commercial sites than educational sites. Indexing of new or modified pages byjust one of the major search engines can take months. 83% of sites contain commercial content and 6% contain scientific or educational content. Only 1.5% of sites contain pornographic content. The publicly indexable web contains an estimated 800 million pages as of February 1999, encompassing about 15 terabytes of information or about 6 terabytes of text after removing HTML tags, comments, and extra whitespace. The simple HTML "keywords" and "description" metatags are only used on the homepages of 34% of sites. Only 0.3% of sites use the Dublin Core metadata standard.
    Type
    a

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