Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
AskMeNow Inc. was an American public corporation, specializing in mobile search and mobile advertising. The Irvine, California based company officially launched in November 2005 and ceased operations in late 2008. AskMeNow's primary offering was a consumer mobile search product based on proprietary technology that offered a natural language based…
The analysis highlights Companies, Technology and Products as prominent areas in the source structure around AskMeNow.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around AskMeNow shows recurring relationship patterns in the source. For example, AskMeNow → Alltel, Bell Mobility, Canada, Encyclopædia Britannica, Guinness World Records, Merriam-Webster, National Hockey League, Rogers Wireless, These, US Another extracted example is AskMeNow → AskWiki, English Wikipedia, Jimmy Wales, The, The AskWiki, Wikia, Wikimedia, Wikimedia Foundation. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
search mobile natural language content based public irvine california askwiki partnerships inc advertising november 2005 2008 product semantic distribution us
TTTA extracted 35 structured relationships around AskMeNow. Examples in this analysis include AskMeNow → Area served → North America and AskMeNow → Defunct → 2008 (2008). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| AskMeNow | Area served | North America | 1.00 | infobox |
| AskMeNow | Defunct | 2008 (2008) | 1.00 | infobox |
| AskMeNow | Fate | Dissolved | 1.00 | infobox |
| AskMeNow | Founded | November 2005 (2005-11) | 1.00 | infobox |
| AskMeNow | Headquarters | Irvine, California | 1.00 | infobox |
| AskMeNow | Industry | Search | 1.00 | infobox |
| AskMeNow | Key people | Darryl Cohen - CEO | 1.00 | infobox |
| AskMeNow | Net income | US$-20.435 million (FY 2007) | 1.00 | infobox |
| AskMeNow | Number of employees | 32 (Dec 2007) | 1.00 | infobox |
| AskMeNow | Operating income | US$-9.428 million (FY 2007) | 1.00 | infobox |
| AskMeNow | Products | S3 - Enterprise Semantic Search Solution | 1.00 | infobox |
| AskMeNow | Revenue | US$54,536 (FY 2007) | 1.00 | infobox |
| AskMeNow | Services | SMS-based question answering, mobile content distribution, mobile advertising | 1.00 | infobox |
| AskMeNow | Total assets | US$645,110 (FY 2007) | 1.00 | infobox |
| AskMeNow | Total equity | US$-4.894 Million (FY 2007) | 1.00 | infobox |
| AskMeNow | Type | Public | 1.00 | infobox |
The concept neighborhoods around AskMeNow bring nearby vocabulary together. In this analysis, examples include Mobile, Search and Advertising. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For AskMeNow, one of the stronger structural bridges in this analysis connects AskMeNow with Partnerships. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around AskMeNow to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies, Technology & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — AskMeNow · EN edition · Analysis: TopicsToTalkAbout