Best Practices for Creating an Open Source Policy Best Practices for Creating an Open Source Policy Most companies using open source software know they need an open source policy. However, when it comes to creating a policy companies often don't know where to start and spend months debating policy details and researching options. Why Do You Need an Open Source Software Policy? At first many companies question the need for an open source software policy—primarily because they think it will be too difficult to create. Some of the main benefits to having an open source software policy include: Ensuring the company is in agreement about how to use open source software. The Process of Writing an Open Source Policy The key to writing an open source software policy is just to get started! Identify key stakeholdersGet stakeholders to buy into the concept of a policyFigure out your company's strategyCreate the first draft of the policyGet widespread review and acceptance, starting with your stakeholdersRepeat last two steps as necessary Strategy
Beyond Boolean: Human Capital Information Retrieval When I recently spoke at SourceCon in New York, I showed an example Boolean search string that could be used as a challenge or an evaluation of a person’s knowledge and ability. The search string looked something like this: (Director or “Project Manage*” or “Program Manage*” or PM*) w/250 xfirstword and (truck* or ship* or rail* or transport* or logistic* or “supply chain*”) w/10 (manag* or project)* and (Deloitte or Ernst or “E&Y” or KPMG or PwC or PricewaterhouseCoopers or “Price Waterhouse*”) During the presentation, an audience member asked me why there wasn’t any use of site:, inurl:, intitle:, etc. Boolean Logic is Simply the Simplest Way to Search Some (but I hope not too many!) I still run into sourcers and recruiters that are not aware that the word “Boolean” comes from the man who invented Boolean Logic in the 19th century – George Boole. Practically any information system from which you need to search and retrieve information from “speaks” Boolean. Talent Mining
The Dutch ODF Policy in Retrospect Why an Open-Source software policy? Edmon Begoli has illustrated in a recent blog entry how efficient the support for some open-source projects was. I agree completely but I must admit that there are also potential risks related to the use of open-source software in a company. The support is not the only problem. Let's illustrate this further and let me give you some concrete advices.If for example I want to find a project for generating PDF reports in Java, there are at least 3 open-source projects capable of doing this. Often the one that seems very active does not fit the needs very well or the one supported by Apache does not seem very active and so on. This is the first problem, the selection of an open-source software is critical. The second problem is related to governance, developers have internet access and can download open-source software at will. Legal risks, what if you are a software vendor and one of your developers has been integrating a GPL licensed software component in the application you are selling?
Job Board Toolkits: Internet Matchmaking and Changes In Job Advertisements | Kevin Mellet investment can be rationally anticipated, it nevertheless remains uncertain atthe time of investment. With its long history of model refinement and empiri-cal testing (see Devine & Kiefer, 1991; Mortensen, 1986; Mortensen &Pissarides, 1999 for exhaustive surveys), the job search theory has provideda major contribution to the understanding of how labour markets function.The standard search approach does not, however, examine the differentmethods used by agents to gather labour market information. At micro-economic level, the job offer arrival rate, which is the outcome of the searchprocess, is either exogenous and random or, endogenous and greatly relatedto the intensity of the agent’s search. Rubinstein andWolinsky (1987) develop a model where two types of search method coexistin the same market: direct search and indirect (intermediated) search. Marchal et al. Job board toolkits
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Will 'Real Match' Simplify Job Hunting Process? Finding a job is not an easy task. Job seekers need to look at countless online and in-print offers and ads, as well as databases. They waste time sending in resumes and filling out questionnaires. Real Match, a startup founded by serial entrepreneur Gal Almog in 2007, is trying to innovate the field of job listing and recruitment. Related Stories: Real Match’s solution consists of two dimensions. Enhancing distribution The second dimension is the distribution of ads. The job advertising industry in the United States stands at $6 billion a year – 16 percent of all US online advertising. This is not the first company Almog has established. Of their revenue model, he says “it is based on revenues generated from publishing job ads on behalf of employers. For Almog, the name Real Match relays the essence of the company: Job Dating To read this article in Hebrew, click here.
Realmatch Job Search | Job Match -TJNSRV01 RealMatch uses unique Real-Time Job Matching technology. This means that you no longer have to use antiquated keyword search to find a job. You simply enter your skills and preferences, find perfectly matching jobs, explore career opportunities all the while remaining anonymous. In addition, RealMatch is based on a network of thousands of partner sites from a variety of locations and industries. This means that you will receive a great variety of job matches from the locations and occupations of your choice. RealMatch does not ask you to submit your name, address or any other indentifying details. RealMatch is using three elements to create a job match: your skills, your job preferences and the job requirements. Skills and preferences can be added in the “My Match Profile” tab. Job Matches are ranked according to: Great Matches, Good Matches or Basic Matches. RealMatch is unique in its ability to match you with a job based on specific job titles that you are interested in.
Entrepreneur Gaurav Mittal led ITCONS will introduce Intelligent concept search based on Semantics Technology for Recruitment Industry Entrepreneur Gaurav Mittal led ITCONS will introduce Intelligent concept Search based on Semantics Technology in January 2010, a first of its kind in India. Current product portfolio of ITCONS comprises of SaaS based Online Resume Parser & Applicant Tracking System. While the international markets are talking about Monster.com’s recent launch of Power Resume Search based on semantics (a technology which helps scan resumes and job openings for better matching) in the US provided by a company called Trovix, which was acquired by Monster or a cash prize of $72.5 millions last year. Delhi based entrepreneur Gaurav is set to launch prototype of ICS (Intelligent Concept Search) in January ‘2010, which is similar to one provided by Trovix. ICS will work with any Online Job Portals/ with any ATS/ HR applications of any company to provide advanced searching and matching capabilities between a source document and candidates. Use resumes /CVs as source document: Traditional Search Approach
Improved Tools for Driving Search, Journalism, and Content Strategy | Mojo40 Keywords are out! Kaput! Passé! Semantic search is in. Just as Rosie used a paper towel that was a “quicker picker upper,” digital search has become more exact by using semantic search technology. On May 16, Mashable reported that Google search would no longer be based on keywords in a search string, but on a much more refined understanding of how language is used. Semantic search uses a deeper understanding of the relationship between words and the intent of the searcher, so when you type in something on a search engine or on a closed loop system (like that found in an enterprise), the underlying software examines the broader meaning, digests it, and spits back results that are much more relevant. Semantic technology is a subject touched on in a previous post profiling an education start-up, but it deserves a deeper dive. According to the Gilbane Group, semantic software technology has led to a wide variety of improvements in: Mojo40: What do you offer that is new? Related posts:
things, not strings Cross-posted on the Inside Search Blog Search is a lot about discovery—the basic human need to learn and broaden your horizons. But searching still requires a lot of hard work by you, the user. So today I’m really excited to launch the Knowledge Graph, which will help you discover new information quickly and easily. Take a query like [taj mahal]. But we all know that [taj mahal] has a much richer meaning. The Knowledge Graph enables you to search for things, people or places that Google knows about—landmarks, celebrities, cities, sports teams, buildings, geographical features, movies, celestial objects, works of art and more—and instantly get information that’s relevant to your query. Google’s Knowledge Graph isn’t just rooted in public sources such as Freebase, Wikipedia and the CIA World Factbook. The Knowledge Graph enhances Google Search in three main ways to start: 1. 2. How do we know which facts are most likely to be needed for each item? 3.