• Corpus ID: 62485422

SocioTM - Relevancies, Collaboration, and Socio-knowledge in Topic Maps

  title={SocioTM - Relevancies, Collaboration, and Socio-knowledge in Topic Maps},
  author={Sasha Mile Rudan and Sinisha Rudan},
Topic Maps (TM) standard solved a lot of problems in the information overload. With a semantic layer on the top of the existing data pools, TMs provide information interpretation and organization. However, user interaction with technology is still undeveloped and too explicit. This paper introduces SocioTM model; an extension of TM paradigm that includes relevancies, collaboration, and socio- knowledge (user-specific knowledge/ behaviors). Paper goes through relevancies implementation in… 

Figures from this paper

CITOM: Incremental Construction of Topic Maps
The CITOM approach for an incremental construction of multilingual Topic Maps to facilitate the user's navigation across documents available in different languages is proposed and validated with a real corpus from the sustainable construction domain.
Polymorph navigation utilizing domain-specific metadata: experienced benefits for e-learners
This paper introduces and compares two different navigation design solutions that even can be used complementary and indicates that learners appreciate the intertwining of linear browsing and association-based selection, as they need various structures to keep control over their learning process.
Designing Digital Work
This paper presents a state machines method for enabling Emergent Workplace Design and describes how this method was implemented in the context of S-BPM ONE.


Quality, Relevance and Importance in Information Retrieval with Fuzzy Semantic Networks
We propose a framework for ranking information based on quality, relevance and importance, and argue that a socio-semantic contextual approach that extends topicality can lead to increased value of
Visualizing the Semantic Web: XML-Based Internet and Information Visualization, 2nd Edition
Visualizing the Semantic Web: XML-based Internet and Information Visualization is the first book dealing specifically with visualization of the Second-Generation Web and presents the state-of-the-art research in this area.
Measuring Importance and Query Relevance in Topic-focused Multi-document Summarization
A principled comparison between the two most commonly used schemes for assigning importance to words in the context of query focused multi-document summarization finds that log-likelihood ratio is more suitable for query-focused summarization since, unlike raw frequency, it is more sensitive to the integration of the information need defined by the user.
Combining Content and Collaboration in Text Filtering
This technique uses latent semantic indexing to create a collaborative view of a collection of user pro les, which are term vectors constructed from documents deemed relevant to the user's information need.
PolyLens: A recommender system for groups of user
An analysis of the primary design issues for group recommenders, including questions about the nature of groups, the rights of group members, social value functions for groups, and interfaces for displaying group recommendations.
Google news personalization: scalable online collaborative filtering
This paper describes the approach to collaborative filtering for generating personalized recommendations for users of Google News using MinHash clustering, Probabilistic Latent Semantic Indexing, and covisitation counts, and combines recommendations from different algorithms using a linear model.
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
This work compares three common approaches to solving the recommendation problem: traditional collaborative filtering, cluster models, and search-based methods, and their algorithm, which is called item-to-item collaborative filtering.
Squarified Treemaps
An extension to the treemap method for the visualization of hierarchical information, such as directory structures and organization structures, is presented and a new method is presented to generate lay-outs in which the rectangles approximate squares.
Designing Information Design
The Polyscopic Modeling methodology is proposed as a prototype of a designed informing, able to create new information formats, find new uses for the new media, give information new purposes, create new kinds of information and develop new methods for creating information.
MusicRainbow: A New User Interface to Discover Artists Using Audio-based Similarity and Web-based Labeling
This paper presents MusicRainbow, a simple interface for discovering artists where colors encode different types of music, based on a new audiobased approach to compute artist similarity using a traveling salesman algorithm.