The Experts below are selected from a list of 255 Experts worldwide ranked by ideXlab platform

Amith P Sheth - One of the best experts on this subject based on the ideXlab platform.

  • traveling the semantic Web through space time and theme
    IEEE Internet Computing, 2008
    Co-Authors: Amith P Sheth, Matthew Perry
    Abstract:

    In this installment of Semantics and Services, we further develop the idea of spatial, temporal, and thematic (STT) processing of semantic Web data and describe the Web Infrastructure needed to support it. Starting from Ramesh Jain's vision of the EventWeb as a view of what's possible with a Web that better accommodates all three dimensions of event-related information (thematic, spatial, and temporal), we outline the architecture needed to support it and current research that aims to realize it.

  • traveling the semantic Web through space time and theme
    IEEE Internet Computing, 2008
    Co-Authors: Amith P Sheth, Matthew Perry
    Abstract:

    In this installment of Semantics and Services, we further develop the idea of spatial, temporal, and thematic (STT) processing of semantic Web data and describe the Web Infrastructure needed to support it. Starting from Ramesh Jain's vision of the EventWeb as a view of what's possible with a Web that better accommodates all three dimensions of event-related information (thematic, spatial, and temporal), we outline the architecture needed to support it and current research that aims to realize it.

  • Semantic (Web) Technology In Action: Ontology Driven Information Systems for Search, Integration and Analysis.
    IEEE Data Eng. Bull., 2003
    Co-Authors: Amith P Sheth, Cartic Ramakrishnan
    Abstract:

    Semantics is seen as the key ingredient in the next phase of the Web Infrastructure as well as the next generation of information systems applications. In this context, we review some of the reservations expressed about the viability of the Semantic Web. We respond to these by identifying a Semantic Technology that supports the key capabilities also needed to realize the Semantic Web vision, namely representing, acquiring and utilizing knowledge. Given that scalability is a key challenge, we briefly review our observations from developing three classes of real world applications and corresponding technology components: search/browsing, integration, and analytics. We distinguish this proven technology from some parts of the Semantic Web approach and offer subjective remarks which we hope will foster additional debate.

Michael L. Nelson - One of the best experts on this subject based on the ideXlab platform.

  • Web Infrastructure to Support e-Journal Preservation (and More).
    arXiv: Digital Libraries, 2016
    Co-Authors: Herbert Van De Sompel, David S. H. Rosenthal, Michael L. Nelson
    Abstract:

    E-journal preservation systems have to ingest millions of articles each year. Ingest, especially of the "long tail" of journals from small publishers, is the largest element of their cost. Cost is the major reason that archives contain less than half the content they should. Automation is essential to minimize these costs. This paper examines the potential for automation beyond the status quo based on the API provided by CrossRef, ANSI/NISO Z39.99 ResourceSync, and the provision of typed links in publishers' HTTP response headers. These changes would not merely assist e-journal preservation and other cross-venue scholarly applications, but would help remedy the gap that research has revealed between DOIs' potential and actual benefits.

  • Evaluating Methods to Rediscover Missing Web Pages from the Web Infrastructure
    arXiv: Information Retrieval, 2009
    Co-Authors: Martin Klein, Michael L. Nelson
    Abstract:

    Missing Web pages (pages that return the 404 "Page Not Found" error) are part of the browsing experience. The manual use of search engines to rediscover missing pages can be frustrating and unsuccessful. We compare four automated methods for rediscovering Web pages. We extract the page's title, generate the page's lexical signature (LS), obtain the page's tags from the bookmarking Website delicious.com and generate a LS from the page's link neighborhood. We use the output of all methods to query Internet search engines and analyze their retrieval performance. Our results show that both LSs and titles perform fairly well with over 60% URIs returned top ranked from Yahoo!. However, the combination of methods improves the retrieval performance. Considering the complexity of the LS generation, querying the title first and in case of insufficient results querying the LSs second is the preferable setup. This combination accounts for more than 75% top ranked URIs.

  • recovering a Website s server components from the Web Infrastructure
    ACM IEEE Joint Conference on Digital Libraries, 2008
    Co-Authors: Frank Mccown, Michael L. Nelson
    Abstract:

    Our previous research has shown that the collective behavior of search engine caches (e.g., Google, Yahoo, Live Search) and Web archives (e.g., Internet Archive) results in the uncoordinated but large-scale refreshing and migrating of Web resources. Interacting with these caches and archives, which we call the Web Infrastructure (WI), allows entire Websites to be reconstructed in an approach we call lazy preservation. Unfortunately, the WI only captures the client-side view of a Web resource. While this may be useful for recovering much of the content of a Website, it is not helpful for restoring the scripts, Web server configuration, databases, and other server-side components responsible for the construction of the Website's resources. This paper proposes a novel technique for storing and recovering the server-side components of a Website from the WI. Using erasure codes to embed the server-side components as HTML comments throughout the Website, we can effectively reconstruct all the server components of a Website when only a portion of the client-side resources have been extracted from the WI. We present the results of a preliminary study that baselines the lazy preservation of ten EPrints repositories and then examines the preservation of an EPrints repository that uses the erasure code technique to store the server-side EPrints software throughout the Website. We found nearly 100% of the EPrints components were recoverable from the WI just two weeks after the repository came online, and it remained recoverable four months after it was "lost".

  • factors affecting Website reconstruction from the Web Infrastructure
    ACM IEEE Joint Conference on Digital Libraries, 2007
    Co-Authors: Frank Mccown, Norou Diawara, Michael L. Nelson
    Abstract:

    When a Website is suddenly lost without a backup, it maybe reconstituted by probing Web archives and search engine caches for missing content. In this paper we describe an experiment where we crawled and reconstructed 300 randomly selected Websites on a weekly basis for 14 weeks. The reconstructions were performed using our Web-repository crawler named Warrick which recovers missing resources from the Web Infrastructure (WI), the collective preservation effort of Web archives and search engine caches. We examine several characteristics of the Websites over time including birth rate, decay and age of resources. We evaluate the reconstructions when compared to the crawled sites and develop a statistical model for predicting reconstruction success from the WI. On average, we were able to recover 61% of each Website's resources. We found that Google's PageRank, number of hops and resource age were the three most significant factors in determining if a resource would be recovered from the WI.

Matthew Johnson - One of the best experts on this subject based on the ideXlab platform.

  • KAoS policy management for semantic Web services
    Intelligent Systems IEEE, 2004
    Co-Authors: Andrzej Uszok, Jm Bradshaw, Matthew Johnson
    Abstract:

    Web Services power through explicit representations of Web resources underlying semantics and the development of an intelligent Web Infrastructure that can fully exploit them. Semantic Web languages, such as OWL, extend RDF to let users specify ontologies comprising taxonomies of classes and inference rules. Both people and software agents can effectively use Semantic Web Services.' Agents will increasingly use the combination of semantic markup languages and Semantic Web Services to understand and autonomously manipulate Web content in significant ways. Agents will discover, communicate, and cooperate with other agents and services and-as we' 11 describe -will rely on policy-based management and control mechanisms to ensure respect for human-imposed constraints on agent interaction. Policy-based controls of Semantic Web Services can also help govern interaction with traditional (nonagent) clients.

Cartic Ramakrishnan - One of the best experts on this subject based on the ideXlab platform.

  • Semantic (Web) Technology In Action: Ontology Driven Information Systems for Search, Integration and Analysis.
    IEEE Data Eng. Bull., 2003
    Co-Authors: Amith P Sheth, Cartic Ramakrishnan
    Abstract:

    Semantics is seen as the key ingredient in the next phase of the Web Infrastructure as well as the next generation of information systems applications. In this context, we review some of the reservations expressed about the viability of the Semantic Web. We respond to these by identifying a Semantic Technology that supports the key capabilities also needed to realize the Semantic Web vision, namely representing, acquiring and utilizing knowledge. Given that scalability is a key challenge, we briefly review our observations from developing three classes of real world applications and corresponding technology components: search/browsing, integration, and analytics. We distinguish this proven technology from some parts of the Semantic Web approach and offer subjective remarks which we hope will foster additional debate.

Joanne S. Luciano - One of the best experts on this subject based on the ideXlab platform.

  • Aggregation of bioinformatics data using Semantic Web technology
    Journal of Web Semantics, 2006
    Co-Authors: Susie Stephens, David Lavigna, Mike Dilascio, Joanne S. Luciano
    Abstract:

    The integration of disparate biomedical data continues to be a challenge for drug discovery efforts. Semantic Web technologies provide the capability to more easily aggregate data and thus can be utilized to improve the efficiency of drug discovery. We describe an implementation of a Semantic Web Infrastructure that utilizes the scalable Oracle Resource Description Framework (RDF) Data Model as the repository and Seamark Navigator for browsing and searching the data. The paper presents a use case that identifies gene biomarkers of interest and uses the Semantic Web Infrastructure to annotate the data.