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Web, Internet,  Networking, and Software (WINS)
                                                                                                                                        Web, Internet   ,  Networking, and Software (WINS)



                 ޶ਂ݊Շଡ଼஝ᇍૢ΁ගٙഐ࿴ό݈࿁fҢࡁٙ                                 ҢࡁආБʕٙࠇྌ˸ܔ࿴ྡҖʷʧࠦމ                                                 Internet Knowledge Extraction and Man-           measurements in emerging and challenging network
                 ጳሳί׵޼ӺνО˸͍஝ٙ˙όdԸܔ࿴Ϥ၇                             ͦٙd౤ԶԴ͜٫อᄣeࡌҷeʝਗXML༟                                                  agement                                          scenarios. We plan to develop several approaches
                                                                                                                                                                                         that can accurately, timely, and uncostly measure/
                 ݈࿁ٙᅼۨd˸ʿνОਗ਼வԬᅼۨdໝྼ׵ྼ                             ࣘdҢࡁ͍ίක೯ɓ၇ʝਗ׌ʩ΁˜Forms-
                                                                                                                                            This project focuses on Internet document    monitor the network.
                 ਕɪf                                              XML™d̴ঐಁXMLႧคପ͛˸ڌఊމਿᓾٙ                                                extraction, classification and query processing. We
                     Ңࡁ࿁׵XMLʕٙ˖΁ۨ࿒່֛d౤̈                           Դ͜٫ʧࠦdԨЪމXML˖΁ᇜ፨ኜf                                                    address the problem of extracting knowledge from     In addition, using network measurement
                                                                                                                                        web sites along two directions. In the first direction,   results, we intend to develop QoS enhancement
                 ˜ਞᅰʷʫ࢙ᅼۨ™ٙ฿ׂdԨኽϤІਗܔ࿴
                                                                  'PSNT 9.- Ϟ˸ɨอٙतЍj                                                    we extract knowledge from web documents using an   schemes for various network services/applications.
                 ̈࿁Ꮠٙ˖΁ഐ࿴᜕ᗇ೻ҏfϤධᅼۨމԴ͜
                                                                                                                                        existing ontology. In the second direction, we recog-  For instance, for mobile network applications, we
                 ML€ɓ၇ᆽڭۨ࿒τΌٙ೻όႧԊdՈ৷චՌ                                (1) ̴˸˜ᒒе™ಁ˾˜Ꮸݟ™Ⴇجɪٙ፹                                             nize informative structure of a web site and hereof   plan to develop an algorithm which can agilely   Research Groups
                 ᅰၾਞᅰʷᅼଡ଼ഃ̌ঐ˸ආБబۨ࿒ٙXML                            Ⴌdה˸Ъ͜ʕٙ˖΁ᐼ݊ୌΥܸ֛ٙၤͦd                                                  to extract informative contents which are usually   adapt network services, in accordance with real-
                 ೻όணࠇٙਿᓾf͟ϤᅼۨdҢࡁɰኬ̈XML                            Դ͜٫ʔ඲ዄː༼ˀXMLႧجٙ፹Ⴌf                                                    coupled with undesired redundant information. We   time network measurement results, in order to
                                                                                                                                        are also interested in developing new methods, algo-  optimize the user-perceived service quality for the
                 ˖΁ᔷ౬ٙᅼଡ଼ʷଣሞf                                          (2) Forms-XML ˕౪อᄣɓʩ΁ЇЪ͜ʩ΁
                                                                                                                                        rithms, and technologies to extract knowledge from   mobiles. Moreover, we plan to apply network mea-
                     Ϥ̮d࿁׵  XML  ˖΁ٙЕݴஈଣ                          ٙቌڐᇍఖfνϤԴ͜٫ʔ඲ᆽ֛อᄣʩ΁ٙ                                                  web pages of a specific type, e.g., citation list or   surement results to benefit emerging peer-to-peer,
                 (streaming processing) ೻όdҢࡁɰഹ˓޼Ӻ͍               ͍ᆽЗໄf                                                                 bibliography.                                    overlay, mesh, sensor, ad hoc, and/or opportunistic
                                                                                                                                                                                                                                           Research Groups
                 ஝ʷٙ˙جd˸ᆽڭՉЭܓٙাኳ٤ගცӋe                                 (3) Forms-XML ౤Զ܄Ⴁʷʿ୚ฆછՓԴ͜                                                                                         networks, so that not only can the network resource
                                                                                                                                            In addition, the project also studies learning   be effectively utilized, but QoS can also be greatly
                 ˸ʿՉପ̈˖΁ഐ࿴͍ٙᆽ׌f                                   ٫ʧࠦٙ̌ঐdܼ̍əᏐ͜೻όʧࠦʿ܄Ⴁʷ                                                  and management of knowledge from Internet docu-  improved.
                     ίྼࠦ͜dҢࡁʊԴ͜ XML ˸ʿ޴ᗫ                          ˖΁(ஹЇ̮௅ٙCSSᅵόڌ)f                                                      ments, including the following topics: personalized
                                                                                                                                        knowledge management, topic discovery, and event   Formal Verifi cation
                 Ҧஔ€ν˜ַ̙࢝Σඎྡ™dSVG׵ɓࢁ                                 ੽வԬतЍԸ޶dForms-XML̙މॹ˶
                                                                                                                                        detection and tracking. The personalization system
                 ˸༟ৃၣ༩މਿᓾٙɛɹήྡӻ୕fவࢁն                              XMLٝᗆٙԴ͜٫ପ͛Դ͜٫ʧࠦf                                                                                                          Our research goal is to improve the quality
                                                                                                                                        filters information for users based on user interests.
                 Τމ˜ၽᝄٟึήྡ™€http: //tsm.iis.sinica.                                                                                     Topic discovery finds interesting topics via hyper-  of computer systems. For the past decades, formal
                                                                  ක׳όٙήଣ٤ග༟ৃҦஔ
                 edu.twٙӻ୕d̙ᜫԴ͜٫ί༟ৃၣ༩ɪd                                                                                                links and contents of Web documents. The goal of   method has been used to ensure the correctness of
                                                                      ڐϋԸήଣ༟ৃӻ୕Դ͜Όଢ༟ৃၣމ                                                                                                  computer systems. We are developing and applying
                 Іٙ͟ค዆˸ʿൖᙂʷɛɹ౷ݟ༟ࣘණf                                                                                                     event detection and life cycle tracking is to identify
                                                                  ੂБձ೯̨̻࢝ٙઋҖ˚ू౷ʿd޴ᗫٙ༟ࣘ                                                  specific events and distinguish the articles of the   formal verification techniques to help system engi-
                       ̤̮d஢εᏐ͜ჯਹʊ຾Җϓʮึאᑌຑd
                                                                  ʹ౬ᅺ๟ν˜ήଣᅺͪႧԊ™€GMLe˜̙                                                 events from others from several document sources.   neers build high-quality computer systems.
                 Ԩމəʹ౬༟ࣘϾ່֛༈ჯਹत֛ٙXMLႧ
                                                                  ַ࢝Σඎྡ™€SVGٙ೯࢝ɰڢ੬Ҟ஺dவ                                                 The presentation of a complicated event for reader   Currently, the following projects are focused
                 คfXML༟ࣘࢫ၍ଣӻ୕͍နနϓᆞdXMLႧ                                                                                                 comprehension is also an interesting research topic.
                                                                  ேп׵΢όอ጑٤ග༟ৃӻ୕ٙක೯f͉ࠇ                                                                                                    in the formal verification group:
                 ค̙ঐᜊϓਗ਼ԸΆุ༟ৃӻ୕ٙᅺ๟ᅼۨf
                                                                  ೥ཀ̘Դ͜வԬ༟ࣘʹ౬ᅺ๟dภৣΌଢ༟ৃ                                                  WLAN/WMAN as Access Network                      (1) System-on-Chip verification:
                     Ңࡁ˸ҦஔԶᏐ٫ٙԉЍਞၾ޴ᗫᅺ๟ଡ଼
                                                                  ၣҦஔ̨̻d˸ʿක׳ࡡ֐ᇁழ᜗ʈՈdʊϓ
                 ᔌٙݺਗdतй݊਷ʫٙৌਕ༟ৃᅺ๟-XBRL                                                                                                     This project focuses on the enhancement of
                                                                  ̌ٙක೯əɓࢁழ᜗ʈՈd࿁Դ̨͜ᝄତϞٙ                                                                                                       SoC systems require the integration of both
                 ၾषዝࣸόᅺ๟-HL7/CDAfҢࡁʊ຾ၾึࠇձ                                                                                               IEEE 802.11and 802.16 families in order to provide   hardware and software components. But it is dif-
                                                                  ˜ਿ͉ήҖྡ༟ࣘࢫᅺ๟ʹ౬ࣸό™ᇜᇁٙᅰ                                                  QoS guarantee and multimedia communication, and
                 ༟ৃ߅Ҧഃ޴ᗫჯਹٙኪ٫ଡ଼ϓ޼Ӻྠ᜗d˸                                                                                                                                                    ficult to integrate due to different development envi-
                                                                  ࠽ήҖྡd̙ਗ਼Չᔷ౬މ˸˜ήଣᅺͪႧԊ™                                                  multi-hop access, such that they can be integrated as
                 ೯࢝਷ʫٙXBRL taxonomiesၾක೯XBRLৌਕ                                                                                                                                           ronments of hardware and software components. In
                                                                  ձ˜ַ̙࢝Σඎྡ™ᇜᇁٙXML˖΁dԴ੻வ                                                 a full-blown access network. Resource management   this project, we would like to propose an integrated
                 ༟ৃٙ޴ᗫᔷ౬ʱؓʈՈfҢࡁɰၾ̨ᝄᔼኪ                                                                                                   and fairness are the major issues for QoS guarantee.
                                                                  Ԭ˸ᔚᅺ๟ᇜᇁٙᅰ࠽ήҖྡd̙˸ܘ˙کٙ                                                                                                   verification platform to check the correctness of
                 ༟ৃኪึίཥɿषዝᅺ๟Փࠈɪၡ੗ഐΥdߧ                                                                                                   Beside theoretic study, we implement embedded
                                                                  ίΌଢ༟ৃၣɪԴ͜f͉ࠇ೥ٙ޼Ӻࠠᓃਗ਼׳                                                                                                   SoC systems. The idea is to develop a core verifica-
                 ɢ׵Փ֛˸CDAމਿ๟ٙXML schemadԨ˸Ϥ                                                                                             system prototypes on Linux for performance evalu-  tion tool which allows users to translate hardware
                                                                  ί˸ᅺ๟ႧԊމਿᓾٙอ጑ήଣ༟ৃӻ୕dܔ                                                  ation purposes. Our studies cover MAC layer, net-
                 schema೯࢝Web-basedٙᕑҖӻ୕d੶ሜਗ਼ෂ୕                                                                                                                                            and software specifications to the core verification
                                                                  ிהცٙӻ୕ᕑҖd˸᜕ᗇอٙ฿ׂfவԬอ                                                  work layer and transport layer protocols.
                 ٙᔼኪ༟ࣘࢫ༟ࣘᔷ౬މCDAٙᅺ๟ࣸόʘྼ                                                                                                                                                   language.
                                                                  ጑ٙήଣ༟ৃӻ୕dʔස̙዆ΥԸІεࡈԸ๕
                 Ъd˸ڮආ̨ᝄᔼᐕ৫הཥɿषዝٙ೯࢝ၾᏐ                                                                                                   Network Measurement                              (2) OMocha model checker:
                                                                  ٙମሯ༟ࣘd˸Όଢ༟ৃၣމੂБ̨̻dԨ̙
                 ͜પᄿf
                                                                  ԱԴ͜٫אԴ͜٫໊ٟٙცࠅאԴ͜ᐑྤdਂ                                                      Network measurement is a fundamental re-         OMocha is a model checker for reactive mod-
                     อጳٙXMLႧค˚ूᄣεdᜑ್඲ࠅމ                                                                                                 search problem in the field of computer networks.
                                                                  ʿࣛٙ܄Ⴁʷяତfவධ޼Ӻࠇ೥ٙͦᅺʘɓ                                                                                                   ules. It serves as the core verification platform of
                 XML ༟ࣘ€˖΁ܔͭԴ͜٫ʧࠦfՑͦۃމ                                                                                                 The results of network measurements are critical for
                                                                  уίԴ͜ක׳ٙ༟ࣘᅺ๟eක೯ʈՈeၾҦஔ                                                                                                   our System-on-Chip verification project. We have
                 ˟dXML༟ࣘٙԴ͜٫ʧࠦே݊ఱत֛ٙXML                                                                                                 efficient network design, management, and usage.   also developed model checking algorithms and
                                                                  ̨̻dܔி̙࢝ͪϤ၇อ጑̌ঐٙήଣ༟ৃӻ                                                  With the growing popularity of emerging network
                 ႧคʿᏐࠠ͜อႡЪdϽᅇՑΆุॴXMLႧค                                                                                                                                                   implemented them in OMocha. We use CUDD and
                                                                  ୕f                                                                    technologies, such as WiFi, Bluetooth, ZigBee, Wi-
                 ܼ̍ٙʩ΁ʿ᙮׌ਗႿɷϵdԴ͜٫ʧࠦ̀඲                                                                                                                                                    chaff as the underlying BDD and SAT packages. To
                                                                                                                                        Media, WiMAX, and GPRS/3G, it is becoming in-    improve the quality of the model checker, we use
                 ءจਗ࿒XML༟ࣘഐ࿴eႧج஝ᇍʿ̮ᝈٙя                                                                                                  creasingly desirable to have a simple, accurate, end-
                                                                                                                                                                                         Objective Caml to implement high-level algorithms
                 ତഃdவࡈ˙όਗ਼ึڢ੬൬ࣛ൬ɢf                                                                                                       to-end, and less intrusive approach to measure the   in OMocha. Currently, OMocha has both BDD and
                                                                                                                                        network. In this project, we intend to study network
                                                                                                                                                                                         SAT-based model checking algorithms.
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