LEADER 00489nam 2200169z- 450 001 9910773542103321 035 $a(WsH)locafdo 035 $a(CKB)5490000000493385 035 $a(EXLCZ)995490000000493385 100 $a20230719c2005uuuu -u- - 101 0 $aeng 200 10$aPhilippines: Adoption of Children: Laws and Procedure 517 $aPhilippines 906 $aBOOK 912 $a9910773542103321 996 $aPhilippines: Adoption of Children: Laws and Procedure$93668447 997 $aUNINA LEADER 05328nam 22007935 450 001 9910484512103321 005 20251226203950.0 010 $a3-540-32587-5 024 7 $a10.1007/11605126 035 $a(CKB)1000000000213577 035 $a(SSID)ssj0000317633 035 $a(PQKBManifestationID)11923544 035 $a(PQKBTitleCode)TC0000317633 035 $a(PQKBWorkID)10312387 035 $a(PQKB)11462576 035 $a(DE-He213)978-3-540-32587-1 035 $a(MiAaPQ)EBC3067627 035 $a(PPN)123130220 035 $a(EXLCZ)991000000000213577 100 $a20100417d2006 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aFederation over the Web $eInternational Workshop, Dagstuhl Castle, Germany, May 1-6, 2005, Revised Selected Papers /$fedited by Klaus P. Jantke, Aran Lunzer, Nicolas Spyratos, Yuzuru Tanaka 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (X, 216 p.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v3847 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-31018-5 320 $aIncludes bibliographical references and index. 327 $aKnowledge Look-Up and Matching -- Text Mining Using Markov Chains of Variable Length -- Faster Pattern Matching Algorithm for Arc-Annotated Sequences -- VSOP (Valued-Sum-of-Products) Calculator for Knowledge Processing Based on Zero-Suppressed BDDs -- Knowledge Search and Clustering -- A Method for Pinpoint Clustering of Web Pages with Pseudo-Clique Search -- Specific-Purpose Web Searches on the Basis of Structure and Contents -- Graph Clustering Based on Structural Similarity of Fragments -- Knowledge Mediation -- Connecting Keywords Through Pointer Paths over the Web -- Querying with Preferences in a Digital Library -- Interoperation of Web-Based Resources -- An Enhanced Spreadsheet Supporting Calculation-Structure Variants, and Its Application to Web-Based Processing -- Knowledge Federation over the Web Based on Meme Media Technologies -- Knowledge Evolution -- Towards Understanding Meme Media Knowledge Evolution -- Mechanisms of Knowledge Evolution for Web Information Extraction. 330 $aThe lives of people all around the world, especially in industrialized nations, continue to be changed by the presence and growth of the Internet. Its in?uence is felt at scales ranging from private lifestyles to national economies, boosting thepaceatwhichmoderninformationandcommunicationtechnologiesin?uence personal choices along with business processes and scienti?c endeavors. In addition to its billions of HTML pages, the Web can now be seen as an open repository of computing resources. These resources provide access to computational services as well as data repositories, through a rapidly growing variety of Web applications and Web services. However, people?s usage of all these resources barely scratches the surface of the possibilities that such richness should o?er. One simple reason is that, given the variety of information available and the rate at which it is being extended, it is di?cult to keep up with the range of resources relevant to one?s interests. Another reason is that resources are o?ered in a bewildering variety of formats and styles, so that many resources e?ectively stand in isolation. This is reminiscent of the challenge of enterprise application integration, - miliar to every large organization be it in commerce, academia or government. Thechallengearisesbecauseoftheaccumulationofinformationandcommuni- tion systems over decades, typically without the technical provision or political will to make them work together. Thus the exchange of data among those s- tems is di?cult and expensive, and the potential synergetic e?ects of combining them are never realized. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v3847 606 $aComputer science 606 $aArtificial intelligence 606 $aApplication software 606 $aDatabase management 606 $aInformation storage and retrieval systems 606 $aPattern recognition systems 606 $aComputer Science 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 606 $aDatabase Management 606 $aInformation Storage and Retrieval 606 $aAutomated Pattern Recognition 615 0$aComputer science. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aDatabase management. 615 0$aInformation storage and retrieval systems. 615 0$aPattern recognition systems. 615 14$aComputer Science. 615 24$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 615 24$aAutomated Pattern Recognition. 676 $a005.74 701 $aJantke$b K. P$g(Klaus P.)$01756186 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484512103321 996 $aFederation over the web$94198724 997 $aUNINA