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Local search engine with global content based on domain specific knowledge
Sandi Pohorec, Mateja Verlič, Milan Zorman, 2009, izvirni znanstveni članek

Opis: In the growing need for information we have come to rely on search engines. The use of large scale search engines, such as Google, is as common as surfingthe World Wide Web. We are impressed with the capabilities of these search engines but still there is a need for improvment. A common problem withsearching is the ambiguity of words. Their meaning often depends on the context in which they are used or varies across specific domains. To resolve this we propose a domain specific search engine that is globally oriented. We intend to provide content classification according to the target domain concepts, access to privileged information, personalization and custom rankingfunctions. Domain specific concepts have been formalized in the form ofontology. The paper describes our approach to a centralized search service for domain specific content. The approach uses automated indexing for various content sources that can be found in the form of a relational database, we! b service, web portal or page, various document formats and other structured or unstructured data. The gathered data is tagged with various approaches and classified against the domain classification. The indexed data is accessible through a highly optimized and personalized search service.
Ključne besede: information search, personalization, indexes, crawling, domain specific crawling, natural language processing, content tagging, distributed data sources, ranking functions
Objavljeno: 31.05.2012; Ogledov: 1053; Prenosov: 22
URL Povezava na celotno besedilo

Developing a question answering system for the slovene language
Ines Čeh, Milan Ojsteršek, 2009, izvirni znanstveni članek

Opis: In todayćs world the majority of information is sought after on the internet. A common method is the use of search engines. However since the result of a query to the search engine is a ranked list of results, this is not the final step. It is up to the user to review the results and determine which of the results provides the information needed. Often this process is time consuming and does not provide the sought after information. Besides the number of returned results the limiting factor is often the lack of ability of the usersto form the correct query. The solution for this can be found in the formof question answering systems, where the user proposes a question in the natural language, similarly as talking to another person. The answer is the exact answer instead of a list of possible results. This paper presents the design of a question answering system in natural slovene language. The system searches for the answers for our target domain (Faculty of Electrical Engineering and Computer Science) with the use of a local database, databases of the facultyćs information system, MS Excel files and through web service calls. We have developed two separate applications: one for users and the other for the administrators of the system. With the help of the latter application the administrators supervise the functioning and use of entire system. The former application is actually the system that answers the questions.
Ključne besede: question answering, Slovenian language, question classification, machine learning, question templates, personalization
Objavljeno: 31.05.2012; Ogledov: 1263; Prenosov: 20
URL Povezava na celotno besedilo

ICT and Lifelong Learning
Dejan Dinevski, Peter Kokol, 2004, izvirni znanstveni članek

Opis: "Technology can make lifelong learning a reality" is written in one of the listed references. The concept of lifelong learning in the EU member states differs significantly and their efforts seem to be partly mismatched. Even in different concepts the modern information technology support is becoming the foundation of the efficient and cost-effective lifelong learning. The e-learning technology is becoming progressively sophisticated, which has several positive effects, though on the other hand the complex technology makes some learners feel uncomfortable. Innovations in e-learning information systems should take special care of this effect when dealing with "lifelong learners", since the level of the information literacy in this group varies a lot. A good example of the technology innovation is personalization which makes e-learning systems friendlier and diminishes the well known technology barrier.
Ključne besede: Lifelong learning, E-learning, Personalization
Objavljeno: 05.06.2012; Ogledov: 801; Prenosov: 34
URL Povezava na celotno besedilo

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