1. Where to publish ?
  2. Experiments
  3. Tools
    1. Machine Learning in Python
    2. Delicious
    3. Data Sources
    4. Visualization
  4. TODO
  5. Related Systems
    1. Content management Systems
    2. Nepomuk
  6. On-Going Research about Semantics and Organizations

Where to publish ?

Experiments

Tools

Machine Learning in Python

Delicious

Data Sources

Visualization

  • Graph
  • Navigational Tree (browser)
  • Navigational Tree (filesystem)
  •  InfoViz JS 
    >>> import deliciousapi as dapi
>>> d = dapi.DeliciousAPI()
>>> d.get_user("rodsenra")
rodsenra
>>> rod = d.get_user("rodsenra")
>>> print(rod)
[rodsenra] 50 bookmarks, 95 tags (68 unique)
>>> d.get_tags_of_user("rodsenra")

TODO

  • Citar Joe Celko's Trees and Hierarchies in SQL for Smarties, (The Morgan Kaufmann Series in Data Management Systems)
  • Adopt ResumeRDF and DOAP (description of a project) to this wiki (my CV) See : Tutorial

* Citar 

@inproceedings{isem2011mendesetal,
title = {DBpedia Spotlight: Shedding Light on the Web of Documents},
author = {Pablo N. Mendes and Max Jakob and Andr\'{e}s Garc\'{i}a-Silva and Christian Bizer},
year = {2011},
booktitle = {Proceedings of the 7th International Conference on Semantic Systems (I-Semantics)},
abstract = {Interlinking text documents with Linked Open Data enables the Web of Data to be used as background knowledge within document-oriented applications such as search and faceted browsing. As a step towards interconnecting the Web of Documents with the Web of Data, we developed DBpedia Spotlight, a system for automatically annotating text documents with DBpedia URIs. DBpedia Spotlight allows users to configure the annotations to their specific needs through the DBpedia Ontology and quality measures such as prominence, topical pertinence, contextual ambiguity and disambiguation confidence. We compare our approach with the state of the art in disambiguation, and evaluate our results in light of three baselines and six publicly available annotation systems, demonstrating the competitiveness of our system. DBpedia Spotlight is shared as open source and deployed as a Web Service freely available for public use.}
}

 http://www.pnas.org/content/101/suppl.1/5228.full 

Finding scientific topics
Thomas L. Griffiths * , † , ‡ and Mark Steyvers
PNAS April 6, 2004 vol. 101 no. Suppl 1 5228-5235

 “Mapping Knowledge Domains,” held May 9-11, 2003, at the Arnold and Mabel Beckman Center of the National Academies of Sciences and Engineering in Irvine, CA.
  • Instalar  Zemanta 
    @article{4315,
  author = {Dimitris Apostolou and Gregoris Mentzas and Andreas Abecker},
  interhash = {243b786fd6b3a6902056d987107bea81},
  intrahash = {f725dcb2da006e880a161e84b967fcce},
  journal = {Journal of Computer Information Systems},
  pages = {32-49},
  title = {Managing Knowledge at Multiple Organizational Levels Using Faceted Ontologies},
  volume = {Winter 2008-2009},
  year = 2008,
  keywords = {FZI ICCS WP9000 from:dapost nepomuk},
  added-at = {2009-01-26T11:29:43.000+0100},
  biburl = {http://www.bibsonomy.org/bibtex/2f725dcb2da006e880a161e84b967fcce/nepomuk}
}

Related Systems

  •  Rosette Linguistics Platform - Commercial NLP Products
    • Statistical models provide (a) Recognition of never-seen-before names and (b) the best answers when words can have multiple meanings. Analyzing the correlation with the other words helps identify the correct context such as deciding when the word “Paris” is used as the name of a person or a city.
    • Regular expressions define entities with standard patterns like telephone numbers and email addresses. Users can add their own expressions easily.
    • Gazetteers—lists of entities—are used for entities which are well-defined words with little ambiguity about their meaning like the names of nations.

Content management Systems

Nepomuk

  • benefits of semantic approach:
    • multi-source data integration
    • sparql expressive queries
    • taxonomy multilingual: use the language of the user
    • discover hidden information
    • web of linked open data ( http://richard.cyganiak.de/2007/10/lod/)
    • Nepomuk KDE: tag and annotate data with RDF
  •  Nepomuk
  • explore personal information space
  • social semantic desktop
  • tools for knowledge articulation and visualization
  • knowledge life cycle: exchange of personal thoughts via structured articulation in extended wiki-based semantic tools, goal-oriented organization by work process model integration, and sharing, exchange and alignment of metadata;
  • cross-media and cross-application linking and browsing of information;
  • un-intrusive metadata generation support;
  • knowledge communication within social networks and distri- buted search and storage to build, maintain, and employ inter- workspace relations in large scale distributed scenarios
  • project delivers a freely available opensource framework for social semantic desktops, and a rich set of standardized interfaces and reference implementations.

On-Going Research about Semantics and Organizations

Attachments