Search Results - "Knoblock, C.A"

  • Showing 1 - 18 results of 18
Refine Results
  1. 1

    Semantic query optimization for query plans of heterogeneous multidatabase systems by Chun-Nan Hsu, Knoblock, C.A.

    “…New applications of information systems need to integrate a large number of heterogeneous databases over computer networks. Answering a query in these…”
    Get full text
    Journal Article
  2. 2

    Guest editors' introduction: Information integration on the web by Kambhampati, S., Knoblock, C.A.

    Published in IEEE intelligent systems (01-09-2003)
    “…Presents the guest editorial for this issue of the publication…”
    Get full text
    Journal Article
  3. 3

    Guest Editors' Introduction: Mining Actionable Knowledge on the Web by Qiang Yang, Knoblock, C.A., Xindong Wu

    Published in IEEE intelligent systems (01-11-2004)
    “…The Web-its resources and users-offers a wealth of information for data mining and knowledge discovery. Up to now, a great deal of work has been done applying…”
    Get full text
    Journal Article
  4. 4

    Retrieving and semantically integrating heterogeneous data from the Web by Michalowski, M., Ambite, J.L., Thakkar, S., Tuchinda, R., Knoblock, C.A., Minton, S.

    Published in IEEE intelligent systems (01-05-2004)
    “…Building Finder uses semantic Web technologies to integrate different data types from various online data sources. The application's use of the RDF and RDF…”
    Get full text
    Journal Article
  5. 5

    Guest Editors' Introduction: Planning with Templates by Dyer, D., Cross, S., Knoblock, C.A., Minton, S., Tate, A.

    Published in IEEE intelligent systems (01-03-2005)
    “…Templates are standard operating procedures that can be used for solving typical problems and as a starting point for solving novel problems. These structures…”
    Get full text
    Journal Article
  6. 6

    Classification of Line and Character Pixels on Raster Maps Using Discrete Cosine Transformation Coefficients and Support Vector Machine by Yao-Yi Chiang, Knoblock, C.A.

    “…Raster maps are widely available on the Internet. Valuable information such as street lines and labels, however, are all hidden in the raster format. To…”
    Get full text
    Conference Proceeding
  7. 7

    Conditional constraint networks for interleaved planning and information gathering by Ambite, J.L., Knoblock, C.A., Muslea, M., Minton, S.

    Published in IEEE intelligent systems (01-03-2005)
    “…We have developed Heracles II, a framework for mixed-initiative planning and information gathering. Heracles II maps the hierarchical task structure of the…”
    Get full text
    Journal Article
  8. 8

    Coalition Agents Experiment: multiagent cooperation in international coalitions by Allsopp, D.N., Beautement, P., Kirton, M., Bradshaw, J.M., Suri, N., Durfee, E.H., Knoblock, C.A., Tate, A., Thompson, C.W.

    Published in IEEE intelligent systems (01-05-2002)
    “…The Coalition Agents Experiment aims to show that multi-agent systems offer effective tools for dealing with complex real-world problems by enabling agile and…”
    Get full text
    Journal Article
  9. 9

    Extracting Human Settlement Footprint from Historical Topographic Map Series Using Context-Based Machine Learning by Uhl, J.H, Leyk, S, Yao-Yi Chiang, Weiwei Duan, Knoblock, C.A

    “…Information extraction from historical maps represents a persistent challenge due to inferior graphical quality and large data volume in digital map archives,…”
    Get full text
    Conference Proceeding
  10. 10

    A Method for Automatically Extracting Road Layers from Raster Maps by Yao-Yi Chiang, Knoblock, C.A.

    “…To exploit the road network in raster maps, the first step is to extract the pixels that constitute the roads and then vectorize the road pixels. Identifying…”
    Get full text
    Conference Proceeding
  11. 11

    A heterogeneous field matching method for record linkage by Minton, S.N., Nanjo, C., Knoblock, C.A., Michalowski, M., Michelson, M.

    “…Record linkage is the process of determining that two records refer to the same entity. A key subprocess is evaluating how well the individual fields, or…”
    Get full text
    Conference Proceeding
  12. 12

    Exploiting Data Semantics to Discover, Extract, and Model Web Sources by Ambite, J.L., Knoblock, C.A., Lerman, K., Plangprasopchok, A., Russ, T., Gazen, C., Minton, S., Carman, M.

    “…We describe Deimos, a system that automatically discovers and models new sources of information.The system exploits four core technologies developed by our…”
    Get full text
    Conference Proceeding
  13. 13

    Semi-automatic wrapper generation for Internet information sources by Ashish, N., Knoblock, C.A.

    “…To simplify the task of obtaining information from the vast number of information sources that are available on the World Wide Web (WWW), the authors are…”
    Get full text
    Conference Proceeding
  14. 14

    Selectively materializing data in mediators by analyzing user queries by Ashish, N., Knoblock, C.A., Shahabi, C.

    “…There is currently great interest in building information mediators that can integrate information from multiple data sources such as databases or Web sources…”
    Get full text
    Conference Proceeding
  15. 15

    Exploiting a search engine to develop more flexible Web agents by Shou-de Lin, Knoblock, C.A.

    “…With the rapid growth of the World Wide Web, more and more people rely on the online services to acquire and integrate information. However, it is time…”
    Get full text
    Conference Proceeding
  16. 16

    TheaterLoc: using information integration technology to rapidly build virtual applications by Barish, G., Yi-Shin Chen, DiPasquo, D., Knoblock, C.A., Minton, S., Muslea, I., Shahabi, C.

    “…Although much has been written about various information integration technologies, little has been said regarding how to combine these technologies together to…”
    Get full text
    Conference Proceeding
  17. 17

    Flexible and scalable query access planning using an AI planner by Ambite, J.L., Knoblock, C.A.

    “…Planning by rewriting (PBR) is a new paradigm for efficient high-quality planning that exploits plan rewriting rules and efficient local search techniques to…”
    Get full text
    Conference Proceeding
  18. 18

    Agents for information gathering by Ambite, J.L., Knoblock, C.A.

    Published in IEEE expert (01-09-1997)
    “…With the growing number of information sources available through networks, the problem of how to combine distributed, heterogeneous information sources is…”
    Get full text
    Journal Article