Uses of contextual information to support online tasks

In this paper we make a case for the role of user context information in supporting task performance online, examine previous attempts at representing and making use of user context factors, and highlight the limitations of existing tools and services. We then suggest how the emergent Semantic Web might be able to better facilitate the capture of knowledge regarding user context, and provide the means for its reuse in supporting the performance of tasks online

Modeling interactive memex-like applications based on self-modifiable petri nets

This paper introduces an interactive Memex-like application using a self-modifiable Petri Net model – Self-modifiable Color Petri Net (SCPN). The Memex (“memory extender”) device proposed by Vannevar Bush in 1945 focused on the problems of “locating relevant information in the published records and recording how that information is intellectually connected.” The important features of Memex include associative indexing and retrieval. In this paper, the self-modifiable functions of SCPN are used to achieve trail recording and retrieval. A place in SCPN represents a website and an arc indicates the trail direction. Each time when a new website is visited, a place corresponding to this website will be added. After a trail is built, users can use it to retrieve the websites they have visited. Besides, useful user interactions are supported by SCPN to achieve Memex functions. The types of user interactions include: forward, backward, history, search, etc. A simulator has been built to demonstrate that the SCPN model can realize Memex functions. Petri net instances can be designed to model trail record, back, and forward operations using this simulator. Furthermore, a client-server based application system has been built. Using this system, a user can surf online and record his surfing history on the server according to different topics and share them with other users

Käsitteiden ”Web3”:n ja ”Web 3.0”:n määrittely ja niiden alle luokiteltujen teknologioiden soveltaminen

Tiivistelmä. Tässä tutkielmassa tutkittiin miten käsitteitä Web 3.0 ja Web3 käytettiin tieteellisissä tutkimuksissa, mitä niillä tarkoitetaan ja millaisia teknologioita niihin sisältyy. Lisäksi tarkasteltiin näiden teknologioiden potentiaalisia uhkia ja ongelmia. Tutkielma toteutettiin kirjallisuuskatsauksena. Tutkielman lähteiden perusteella selvisi, että Web 3.0 mielletään yhteneväisesti Web 2.0:n seuraajaksi, joka on puolestaan Web 1.0:n edeltäjä. Web 1.0 on käsitteenä määritelty määrittämään verkon alkuvaiheita, jolloin tieto liikkui pääasiassa yhteen suuntaan. Kun tiedon kuluttajat ottivat roolin myös sisällön tuottajina, alettiin tätä ajanjaksoa kutsua Web 2.0:ksi. Nyt nousseita uusia teknologioita halutaan luokitella uuden termin alle, joten termit Web 3.0 ja Web3 syntyivät. Ne toimivat usein synonyymeinä ja toisinaan myös eri teknologioita tarkoittavina termeinä. Yleisimmin Web 3.0:n alle luokitellaan lohkoketjuteknologiat ja hajautettu verkko. Web3 puolestaan liitetään yleisimmin semanttisten verkkojen yhteyteen. Näille teknologioille yhteistä on Web 2.0:n alle luokitelluista teknologioista eroavaisuus siinä, että tiedon omistajuusmalli muuttuisi hajautetuksi ja vapaammaksi. Uudet teknologiat tuovat mukanaan myös uusia käytännönsovellutuksia. Lohkoketjuteknologiat mahdollistavat uusia tapoja valmistaa sovelluksia, tallettaa tietoa, luoda maksuvälineitä, solmia terveysvakuutussopimuksia, suojella immateriaalioikeuksia, luoda uusia tapoja äänestää ja luoda peleihin uusia koukuttavia ominaisuuksia. Uudet ominaisuudet ja teknologiat tuovat kuitenkin mukanaan myös ongelmia ja uhkia. Semanttisen verkon ominaisuudet eivät toimi hyvin yhteen verkon nykyisen rakenteen kanssa ja lohkoketjuteknologian väärinkäytön mahdollisuus on korkea puutteellisten lainsäädännön ja standardien myötä. Nämä teknologiat ovat myös tuoneet mukanaan ympäristöongelmia valtavan resurssien kulutuksen ja elektroniikkajätteen myötä. Tutkielman tuloksena on katsaus verkon historiaan, siihen miten näitä käsitteitä käytetään ja millaisia teknologioita niihin liitetään. Tutkielma toimii nopeana tapana tutustua Web 3.0 ja Web 3 käsitteisiin ja niiden merkitykseen tieteellisessä kontekstissa

Using Memex to archive and mine community Web browsing experience

Keyword indices, topic directories, and link-based rankings are used to search and structure the rapidly growing Web today. Surprisingly little use is made of years of browsing experience of millions of people. Indeed, this information is routinely discarded by browsers. Even deliberate bookmarks are stored passively, in browser-dependent formats; this separates them from the dominant world of HTML hypermedia, even if their owners were willing to share them. All this goes against Vannevar Bush's dream of the Memex: an enhanced supplement to personal and community memory. We present the beginnings of a Memex for the Web. Memex blurs the artificial distinction between browsing history and deliberate bookmarks. The resulting glut of data is analyzed in a number of ways. It is indexed not only by keywords but also according to the user's view of topics; this lets the user recall topic-based browsing contexts by asking questions like ‘What trails was I following when I was last surfing about classical music?' and ‘What are some popular pages related to my recent trail regarding cycling?' Memex is a browser assistant that performs these functions. We envisage that Memex will be shared by a community of surfers with overlapping interests; in that context, the meaning and ramifications of topical trails may be decided by not one but many surfers. We present a novel formulation of the community taxonomy synthesis problem, algorithms, and experimental results. We also recommend uniform APIs which will help managing advanced interactions with the browser.© Elsevie

Using Memex to archive and mine community Web browsing experience

Keyword indices, topic directories and link-based rankings are used to search and structure the rapidly growing Web today. Surprisingly little use is made of years of browsing experience of millions of people. Indeed, this information is routinely discarded by browsers. Even deliberate bookmarks are stored passively, in browser-dependent formats; this separates them from the dominant world of HTML hypermedia, even if their owners were willing to share them. All this goes against Vannevar Bush's dream of the Memex: An enhanced supplement to personal and community memory. We present the beginnings of a Memex for the Web. Memex blurs the artificial distinction between browsing history and deliberate bookmarks. The resulting glut of data is analyzed in a number of ways. It is indexed not only by keywords but also according to the user's view of topics; this lets the user recall topic-based browsing contexts by asking questions like `What trails was I following when I was last surfing about classical music?' and `What are some popular pages related to my recent trail regarding cycling?' Memex is a browser assistant that performs these functions. We envisage that Memex will be shared by a community of surfers with overlapping interests; in that context, the meaning and ramifications of topical trails may be decided by not one but many surfers. We present a novel formulation of the community taxonomy synthesis problem, algorithms and experimental results. We also recommend uniform APIs which will help managing advanced interactions with the browser