WebSemantique - Christophe Deschamps on Diigo

09 Nov 09

Rethinking messy BI

Le traitement sémantique de l'information en appui à l'informatique décisionnelle (BI) pour tester des hypothèses et explorer des scénarios

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ib business intelligence WebSemantique intelligence économique

The reason for this state of affairs is not that BI and related systems are bad, but that they were designed for only a small part of the information needs businesses have today. The data structures in typical enterprise tools, such as those from IBM Cognos, Informatica, Oracle, SAP, and SAP BusinessObjects, are very good for what they do. But they weren't intended to meet an increasingly common need: to reuse the data in combination with other internal and external information.
the rise of the Internet and local intranets has made information available from so many sources that the exploration now possible is of a new order of richness and complexity.
18 more annotations...
- Call it the Google effect; people expect to be able to find rich stores of information to help test ideas, do what-if analyses, and get a sense of where their markets may be moving.
- There's no way traditional information systems can handle all the sources, many of which are structured differently or not structured at all.
- the emerging concept of Linked Data points to how CIOs can extend their information architecture to support the ever-shifting mass of information sources not tidily available in enterprise information systems.
- The Linked Data concept understands that this is not the case; it focuses instead on helping people to identify relevant information and to analyze it better. Humans excel at this kind of relevance processing, so why not take better advantage of their ability?
- Instead, CIOs need to create what PwC calls an information mediation layer that lets business staff explore what-if scenarios, assess strategies and risks, and gain insight from the messy reality of the world inside and outside a company's four walls.
- As outlined in the a previous paper, an information mediation layer orchestrates information from disparate sources for exploratory analysis rather than discovering an immutable "single source of truth" for archival and reporting purposes.
- The CIO needs to create the framework for exploration, one that helps the analysis fit meaningfully with the enterprise's existing information sources and their often unstated assumptions-without limiting that exploration or imposing a closed worldview on it. The goal of this framework and its associated tools is to allow mapping and filtering on the fly, so you don't have to conduct expensive, time-consuming normalisation activities for one-off or low-volume analyses-assuming those were even possible.
- Unlike corporate data warehouses and other standard information systems, the Linked Data concept accepts that information has different structures depending on the purpose and context in which it was created. Linked Data tries to bridge those differences using semantics (the meaning of the information in context) and ontologies (the relationships among information sources).
- Think of Linked Data as a type of database join that relies on contextual rules and pattern matching, not strict preset matches. As a user looks to mash up information from varied sources, Linked Data tools identify the semantics and ontologies to help the user fit the pieces together in the context of the exploration. The tools do not decide the connections, although the use of RDF and OWL tags can help automate the initial state for the user to review before applying human intelligence.
- We recommend that CIOs begin to rethink their information strategy with the Linked Data approach in mind. We do not recommend you embark on a big-bang initiative; that's unrealistic for an emerging technology whose best practices have yet to be learned. But we do recommend you test some of the principles of this approach as part of your larger information and data efforts. Here are some specific suggestions for ways to do this.
- The second path would be to empower your business users with exploration tools that they could use with existing internal data and with external data of their choosing. These tools would let them find the best business cases and make immediate use of the Linked Data technologies at a low cost to IT, since most of these tools are reasonably priced.
- Both approaches start from a common base: establishing a basic business ontology that expresses the relationships among the business's key processes and entities.
- The CIO must be prepared for the discovery that, despite their promise, the Linked Data technologies don't deliver as hoped. The exploration of this approach should - at a minimum - create a better understanding of the organisation's "messy BI" problem and how it can be lessened.
- "With properly linked data, people can piece together the puzzle themselves," notes Uche Ogbuji, a partner at Zepheira, which provides semantics-oriented analysis tools and training. In the past, he adds, assembling the puzzle pieces was viewed as an engineering challenge, leading to a resource-intensive effort to structure data for traditional analysis techniques.
- The CIO needs to loosen controls over the information and tools used in this exploration. You're not building a system but testing an approach.
- But the non-destructive nature of the Linked Data approach means you can expose that data more freely. In other words, users should be able to explore and transform data on the fly (since they're not changing the source data and its metadata-just the copy, at most-in their virtual explorations).

Toward a civilization of collective intelligence

Présentation de Pierre Lévy (44 slides) + belle bibliographie

www.cibersociedad.net/...350 - Preview

ib intelligence collective Pierre Lévy WebSemantique philosophie

28 Aug 09

Smarter Searches: Technology Merges Images, Data and Knowledge

www.directionsmag.com/article.php - Preview

ib search WebSemantique moteur de recherche semantique Analyse

"The tools we are developing utilize information regarding all the
things that various people look for when searching for a place to
live,"
The secret lies in merging evolving semantic Web technology with
geospatial information systems.
4 more annotations...
- Dr. Khan's goal has been to create software that extracts useful
  information from this array of content using a standard reference, the
  U.S. Gazetteer. His team's work includes what's called the
  disambiguation of names, establishing whether "Paris," for example,
  refers to a city in France, a town in Texas, a famous socialite or the
  guy who made off with Helen.
- "As we make progress with our tools," Dr. Khan said, "we will add new
  features such as locations of grocery stores, churches, temples,
  mosques, synagogues, hospitals and other buildings of interest. We are
  also working toward showing crime statistics for the neighborhood. Our
  goal is to integrate the crime reports provided by the various police
  departments on their respective Web sites, update these reports
  continuously and summarize them based on a time window that makes sense
  to users."
- The team has already developed a system called DAGIS (Discovering
  Annotated Geospatial Information Services), a semantic Web framework
  for geospatial information that the team subsequently extended to
  handle queries related to police blotter data.
- "About 50 percent of our work focuses on ‘catching the bad guys' and 50
  percent on protecting data," she said. "We are developing particularly
  strong expertise in the semantic Web, data mining, data security and
  social network analysis."

19 Jul 09

The Semantic Web Landscape 2009

Présentation en 153 slides. Via @PierreTran

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ib WebSemantique présentation

22 May 09

VocabGrabber

Incroyable outil de text mining (et un peu plus) par les auteurs du Visualthesaurus. Terrific!

www.visualthesaurus.com/vocabgrabber - Preview

ib textmining WebSemantique visualization CartographieInformation visualisation

19 Apr 09

9 Semantic Search Engines to Try

Récapitulatif de 9 moteurs de recherche basés sur la sémantique.

www.websearchguide.ca/...008523.html - Preview

ib WebSemantique moteur de recherche semantique

30 Mar 09

Semantic Intelligence | Web 2.0 Journal

Semantic intelligence provides early identification and analysis of consumer sentiment, purchasing trends, market deals, and competitive information - and uncovers this data not only from within a organization's network, but also from the most unstructured corners of the Web.

web2.sys-con.com/892846 - Preview

ib WebSemantique search

18 Mar 09

Twitter / evribot

Web sémantique + actualités + Twitter = alertes intelligentes en temps réel.

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ib WebSemantique veille

24 Feb 09

Kosmix

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search WebSemantique WebInvisible MoteurDiversWeb Kosmix

23 Feb 09

New Search Technologies Mine the Web More Deeply - NYTimes.com

“Most search engines try to help you find a needle in a haystack,” Mr. Rajaraman said, “but what we’re trying to do is help you explore the haystack.”

www.nytimes.com/...23search.html - Preview

ib WebInvisible WebSemantique Kosmix DeepPeep MoteurDiversWeb

“Google faces a real challenge,” said Chris Sherman, executive editor of the Web site Search Engine Land. “They want to make the experience better, but they have to be supercautious with making changes for fear of alienating their users.”
“Google faces a real challenge,” said Chris Sherman, executive editor of the Web site Search Engine Land. “They want to make the experience better, but they have to be supercautious with making changes for fear of alienating their users.”
5 more annotations...
- “Google faces a real challenge,” said Chris Sherman, executive editor of the Web site Search Engine Land. “They want to make the experience better, but they have to be supercautious with making changes for fear of alienating their users.”
- “Google faces a real challenge,” said Chris Sherman, executive editor of the Web site Search Engine Land. “They want to make the experience better, but they have to be supercautious with making changes for fear of alienating their users.”
- “Google faces a real challenge,” said Chris Sherman, executive editor of the Web site Search Engine Land. “They want to make the experience better, but they have to be supercautious with making changes for fear of alienating their users.”
- “Google faces a real challenge,” said Chris Sherman, executive editor of the Web site Search Engine Land. “They want to make the experience better, but they have to be supercautious with making changes for fear of alienating their users.”
- “Google faces a real challenge,” said Chris Sherman, executive editor of the Web site Search Engine Land. “They want to make the experience better, but they have to be supercautious with making changes for fear of alienating their users.”

16 Feb 09

Top 5 Semantic Search Engines

Sont passés en revue dans cet article Hakia, Sensebot, Poxerset, Deepdyve et Cognition. Il manque quand même clairement Evri.

www.pandia.com/...5-semantic-search-engines.html - Preview

ib MoteurDiversWeb WebSemantique

09 Feb 09

Technology Review: Digging Deeper in Web Search

Un long article de Technologyreview qui revient sur l'un de mes outils de recherche favori, Surfcanyon (www.surfcanyon.com).

www.technologyreview.com/...22032 - Preview

WebSemantique recherche web divers

04 Dec 08

L’avenir de l’information : le web de données

A l’occasion d’ICT 2008, la conférence européenne sur les technologies de l’information et de la communication qui s’est tenu à Lyon du 25 au 27 novembre 2008, retour sur quelques ateliers qui ont ponctué ces trois jours.

www.internetactu.net/...linformation-le-web-de-donnees - Preview

WebSemantique datamining aaaliens

A l’occasion d’ICT 2008, la conférence européenne sur les technologies de l’information et de la communication qui s’est tenu à Lyon du 25 au 27 novembre 2008, retour sur quelques ateliers qui ont ponctué ces trois jours.

25 Nov 08

How The Semantic Web Will Change Information Management

www.socialcomputingmagazine.com/viewcolumn.cfm - Preview

InformationManagement InformationLiteracy WebSemantique

23 Nov 08

10 Semantic Apps to Watch - One Year Later

www.readwriteweb.com/...ps_to_watch_one_year_later.php - Preview

WebSemantique

07 Nov 08

Christophe Deschamps's Library tagged WebSemantique → View Popular

Rethinking messy BI

Toward a civilization of collective intelligence

Smarter Searches: Technology Merges Images, Data and Knowledge

The Semantic Web Landscape 2009

VocabGrabber

9 Semantic Search Engines to Try

Semantic Intelligence | Web 2.0 Journal

Twitter / evribot

Kosmix

New Search Technologies Mine the Web More Deeply - NYTimes.com

Top 5 Semantic Search Engines

Technology Review: Digging Deeper in Web Search

L’avenir de l’information : le web de données

How The Semantic Web Will Change Information Management

10 Semantic Apps to Watch - One Year Later

Présentation du Web Sémantique

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